CHANGELOG.md

# Changelog
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This page contains the changelog for AMD ROCm Software.

-------------------

## ROCm 6.1.1

ROCm™ 6.1.1 introduces minor fixes and improvements to some tools and libraries.

### OS support

ROCm 6.1.1 has been tested against a pre-release version of Ubuntu 22.04.5 (kernel: 5.15 [GA], 6.8 [HWE]).

### AMD SMI

AMD SMI for ROCm 6.1.1

#### Additions

* Added deferred error correctable counts to `amd-smi metric -ecc -ecc-blocks`.

#### Changes

* Updated the output of `amd-smi metric --ecc-blocks` to show counters available from blocks.
* Updated the output of `amd-smi metric --clock` to reflect each engine.
* Updated the output of `amd-smi topology --json` to align with output reported by host and guest systems.

#### Fixes

* Fixed `amd-smi metric --clock`'s clock lock status and deep sleep status.
* Fixed an issue that would cause an error when attempting to reset non-AMD GPUs.
* Fixed `amd-smi metric --pcie` and `amdsmi_get_pcie_info()` when using RDNA3 (Navi 32 and Navi 31) hardware to prevent "UNKNOWN" reports.
* Fixed the output results of `amd-smi process` when getting processes running on a device.

##### Removals

* Removed the `amdsmi_get_gpu_process_info` API from the Python library. It was removed from the C library in an earlier release.

##### Known issues

* `amd-smi bad-pages` can result in a `ValueError: Null pointer access` error when using certain PMU firmware versions.

```{note}
See the [detailed changelog](https://github.com/ROCm/amdsmi/blob/docs/6.1.1/CHANGELOG.md) with code samples for more information.
```

#### HIPCC

HIPCC for ROCm 6.1.1

##### Changes

* **Upcoming:** a future release will enable use of compiled binaries `hipcc.bin` and `hipconfig.bin` by default. No action is needed by users; you may continue calling high-level Perl scripts `hipcc` and `hipconfig`. `hipcc.bin` and `hipconfig.bin` will be invoked by the high-level Perl scripts. To revert to the previous behavior and invoke `hipcc.pl` and `hipconfig.pl`, set the `HIP_USE_PERL_SCRIPTS` environment variable to `1`.
* **Upcoming:** a subsequent release will remove high-level Perl scripts `hipcc` and `hipconfig`. This release will remove the `HIP_USE_PERL_SCRIPTS` environment variable. It will rename `hipcc.bin` and `hipconfig.bin` to `hipcc` and `hipconfig` respectively. No action is needed by the users. To revert to the previous behavior, invoke `hipcc.pl` and `hipconfig.pl` explicitly.
* **Upcoming:** a subsequent release will remove `hipcc.pl` and `hipconfig.pl`.

### ROCm SMI

ROCm SMI for ROCm 6.1.1

##### Additions

* Added the capability to unlock mutex when a process is dead. Added related debug output.
* Added the `Partition ID` field to the `rocm-smi` CLI.
* Added `NODE`, `GUID`, and `GFX Version` fields to the CLI.
* Documentation now includes C++ and Python tutorials, API guides, and reference material.

##### Changes

* Some `rocm-smi` fields now display `N/A` instead of `unknown/unsupported` for consistency.
* Changed stacked ID formatting in the `rocm-smi` CLI to make it easier to spot identifiers.

##### Fixes

* Fixed HIP and ROCm SMI mismatch on GPU bus assignments.
* Fixed memory leaks caused by not closing directories and creating maps nodes instead of using `.at()`.
* Fixed initializing calls which reuse `rocmsmi.initializeRsmi()` bindings in the `rocmsmi` Python API.
* Fixed an issue causing `rsmi_dev_activity_metric_get` gfx/memory to not update with GPU activity.

##### Known issues

* ROCm SMI reports GPU utilization incorrectly for RDNA3 GPUs in some situations. See the issue on [GitHub](https://github.com/ROCm/ROCm/issues/3112).

```{note}
See the [detailed ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/docs/6.1.1/CHANGELOG.md) with code samples for more information.
```

### Library changes in ROCm 6.1.1

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.9](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-6.1.1) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-6.1.1) |
| hipBLAS | [2.1.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-6.1.1) |
| hipBLASLt | [0.7.0](https://github.com/ROCm/hipBLASLt/releases/tag/rocm-6.1.1) |
| hipCUB | [3.1.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-6.1.1) |
| hipFFT | [1.0.14](https://github.com/ROCm/hipFFT/releases/tag/rocm-6.1.1) |
| hipRAND | [2.10.17](https://github.com/ROCm/hipRAND/releases/tag/rocm-6.1.1) |
| hipSOLVER | 2.1.0 ⇒ [2.1.1](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-6.1.1) |
| hipSPARSE | [3.0.1](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-6.1.1) |
| hipSPARSELt | [0.2.0](https://github.com/ROCm/hipSPARSELt/releases/tag/rocm-6.1.1) |
| hipTensor | [1.2.0](https://github.com/ROCm/hipTensor/releases/tag/rocm-6.1.1) |
| MIOpen | [3.1.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-6.1.1) |
| MIVisionX | [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-6.1.1) |
| rccl | [2.18.6](https://github.com/ROCm/rccl/releases/tag/rocm-6.1.1) |
| rocALUTION | [3.1.1](https://github.com/ROCm/rocALUTION/releases/tag/rocm-6.1.1) |
| rocBLAS | [4.1.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-6.1.1) |
| rocDecode | [0.5.0](https://github.com/ROCm/rocDecode/releases/tag/rocm-6.1.1) |
| rocFFT | 1.0.26 ⇒ [1.0.27](https://github.com/ROCm/rocFFT/releases/tag/rocm-6.1.1) |
| rocm-cmake | [0.12.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-6.1.1) |
| rocPRIM | [3.1.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-6.1.1) |
| rocRAND | [3.0.1](https://github.com/ROCm/rocRAND/releases/tag/rocm-6.1.1) |
| rocSOLVER | [3.25.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-6.1.1) |
| rocSPARSE | [3.1.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-6.1.1) |
| rocThrust | [3.0.1](https://github.com/ROCm/rocThrust/releases/tag/rocm-6.1.1) |
| rocWMMA | [1.4.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-6.1.1) |
| rpp | [1.5.0](https://github.com/ROCm/rpp/releases/tag/rocm-6.1.1) |
| Tensile | [4.40.0](https://github.com/ROCm/Tensile/releases/tag/rocm-6.1.1) |

#### hipBLASLt 0.7.0

hipBLASLt 0.7.0 for ROCm 6.1.1

##### Additions

- Added `hipblasltExtSoftmax` extension API.
- Added `hipblasltExtLayerNorm` extension API.
- Added `hipblasltExtAMax` extension API.
- Added `GemmTuning` extension parameter to set split-k by user.
- Added support for mixed precision datatype: fp16/fp8 in with fp16 outk.

##### Deprecations

- **Upcoming**: `algoGetHeuristic()` ext API for GroupGemm will be deprecated in a future release of hipBLASLt.

#### hipSOLVER 2.1.1

hipSOLVER 2.1.1 for ROCm 6.1.1

##### Changes

- `BUILD_WITH_SPARSE` now defaults to OFF on Windows.

##### Fixes

- Fixed benchmark client build when `BUILD_WITH_SPARSE` is OFF.

#### rocFFT 1.0.27

rocFFT 1.0.27 for ROCm 6.1.1

##### Additions

* Enable multi-GPU testing on systems without direct GPU-interconnects.

##### Fixes

* Fixed kernel launch failure on execute of very large odd-length real-complex transforms.

-------------------

## ROCm 6.1.0

The ROCm™ 6.1 release consists of new features and fixes to improve the stability and
performance of AMD Instinct™ MI300 GPU applications. Notably, we've added:

* Full support for Ubuntu 22.04.4.

* **rocDecode**, a new ROCm component that provides high-performance video decode support for
  AMD GPUs. With rocDecode, you can decode compressed video streams while keeping the resulting
  YUV frames in video memory. With decoded frames in video memory, you can run video
  post-processing using ROCm HIP, avoiding unnecessary data copies via the PCIe bus.

  To learn more, refer to the rocDecode
  [documentation](https://rocm.docs.amd.com/projects/rocDecode/en/latest/).

### OS and GPU support changes

ROCm 6.1 adds the following operating system support:

* MI300A: Ubuntu 22.04.4 and RHEL 9.3
* MI300X: Ubuntu 22.04.4

Future releases will add additional operating systems to match our general offering. For older
generations of supported AMD Instinct products, we’ve added Ubuntu 22.04.4 support.

```{tip}
To view the complete list of supported GPUs and operating systems, refer to the system requirements
page for
[Linux](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html)
and
[Windows](https://rocm.docs.amd.com/projects/install-on-windows/en/latest/reference/system-requirements.html).
```

### Installation packages

This release includes a new set of packages for every module (all libraries and binaries default to
`DT_RPATH`). Package names have the suffix `rpath`; for example, the `rpath` variant of `rocminfo` is
`rocminfo-rpath`.

```{warning}
The new `rpath` packages will conflict with the default packages; they are meant to be used only in
environments where legacy `DT_RPATH` is the preferred form of linking (instead of `DT_RUNPATH`). We
do **not** recommend trying to install both sets of packages.
```

### AMD SMI

AMD SMI for ROCm 6.1.0

#### Additions

* **Added Monitor command**. This provides users the ability to customize GPU metrics to capture,
  collect, and observe. Output is provided in a table view. This aligns closer to ROCm SMI `rocm-smi`
  (no argument), and allows you to customize per the data that are helpful for your use-case.

* **Integrated ESMI Tool**. You can get CPU metrics and telemetry through our API and CLI tools.
  You can get this information using the `amd-smi static` and `amd-smi metric` commands. This is only
  available for limited target processors. As of ROCm 6.0.2, this is listed as:
  * AMD Zen3 based CPU Family 19h Models 0h-Fh and 30h-3Fh
  * AMD Zen4 based CPU Family 19h Models 10h-1Fh and A0-AFh

* **Added support for new metrics: VCN, JPEG engines, and PCIe errors**. Using the AMD SMIrccl
  tool, you can retrieve VCN, JPEG engines, and PCIe errors by calling `amd-smi metric -P` or
  `amd-smi metric --usage`. Depending on device support, `VCN_ACTIVITY` will update for MI3x ASICs
  (with 4 separate VCN engine activities) for older ASICs `MM_ACTIVITY` with UVD/VCN engine activity
  (average of all engines). `JPEG_ACTIVITY` is a new field for MI3x ASICs, where device can support up
  to 32 JPEG engine activities. See our documentation for more in-depth understanding of these new
  fields.

* **Added AMDSMI Tool version**. AMD SMI will report *three versions*: AMDSMI Tool, AMDSMI
  Library version, and ROCm version.

  The AMDSMI Tool version is the CLI/tool version number with commit ID appended after the `+` sign.
  The AMDSMI Library version is the library package version number. The ROCm version is the system's
  installed ROCm version; if ROCm is not installed, it reports N/A.

* **Added XGMI table**. Displays XGMI information for AMD GPU devices in a table format. This is
  only available on supported ASICs (e.g., MI300). Here, users can view read/write data XGMI or PCIe
  accumulated data transfer size (in KiloBytes).

* **Added units of measure to JSON output.**. We added unit of measure to JSON/CSV
  `amd-smi metric`, `amd-smi static`, and `amd-smi monitor` commands.

#### Changes

* **Topology is now left-aligned with BDF for each device listed individual table's row/columns**.
  We provided each device's BDF for every table's row/columns, then left-aligned data. We want AMD
  SMI Tool output to be easy to understand and digest. Having to scroll up to find this information
  made it difficult to follow, especially for devices that have many devices associated with one ASIC.

#### Fixes

* **Fix for RDNA3/RDNA2/MI100 'amdsmi_get_gpu_pci_bandwidth()' in 'frequencies_read' tests**.
  For devices that do not report (e.g., RDNA3/RDNA2/MI100), we have added checks to confirm that
  these devices return `AMDSMI_STATUS_NOT_SUPPORTED`. Otherwise, tests now display a return
  string.

* **Fix for devices that have an older PyYAML installed**. For platforms that are identified as having
  an older PyYAML version or pip, we now manually update both pip and PyYAML as needed. This
  fix impacts the following CLI commands:
  * `amd-smi list`
  * `amd-smi static`
  * `amd-smi firmware`
  * `amd-smi metric`
  * `amd-smi topology`

* **Fix for crash when user is not a member of video/render groups**. AMD SMI now uses the
  same mutex handler for devices as ROCm SMI. This helps avoid crashes when DRM/device data are
  inaccessible to the logged-in user.

#### Known issues

* There is an `AttributeError` while running `amd-smi process --csv`
* GPU reset results in an "*Unable to reset non-amd GPU*" error
* bad pages results with "ValueError: NULL pointer access"
* Some RDNA3 cards may enumerate to `Slot type = UNKNOWN`

### HIP

HIP 6.1 for ROCm 6.1

#### Additions

* New environment variable, `HIP_LAUNCH_BLOCKING`, which is used for serialization on kernel
  execution.
* The default value is 0 (disable): kernel runs normally, as defined in the queue
* When set as 1 (enable): HIP runtime serializes the kernel enqueue and behaves the same as
  `AMD_SERIALIZE_KERNEL`
* Added HIPRTC support for hip headers `driver_types`, `math_functions`, `library_types`,
  `math_functions`, `hip_math_constants`, `channel_descriptor`, `device_functions`, `hip_complex`,
  `surface_types`, `texture_types`

#### Changes

* HIPRTC now assumes WGP mode for gfx10+. You can enable CU mode by passing `-mcumode` to the
  compile options from `hiprtcCompileProgram`.

#### Fixes

* HIP complex vector type multiplication and division operations.
  On an AMD platform, some duplicated complex operators are removed to avoid compilation failures.
  In HIP, `hipFloatComplex` and `hipDoubleComplex` are defined as complex datatypes:
  * `typedef float2 hipFloatComplex`
  * `typedef double2 hipDoubleComplex`

  Any application that uses complex multiplication and division operations must replace `*` and `/`
  operators with the following:
  * `hipCmulf() and hipCdivf() for hipFloatComplex`
  * `hipCmul() and hipCdiv() for hipDoubleComplex`

  Note that these complex operations are equivalent to corresponding types/functions on an NVIDIA
  platform.

### HIPIFY

HIPIFY for ROCm 6.1.0

#### Additions

* CUDA 12.3.2 support
* cuDNN 8.9.7 support
* LLVM 17.0.6 support
* Full `hipSOLVER` support
* Full `rocSPARSE` support
* New option: `--amap`, which will hipify as much as possible, ignoring `--default-preprocessor`
  behavior

#### Fixes

* Code blocks skipped by the preprocessor are no longer hipified under the `--default-preprocessor`
  option

### ROCm Compiler

ROCm Compiler for ROCm 6.1.0

#### Additions

* Compiler now generates `.uniform_work_group_size` and records it in the metadata. It indicates if the
  kernel requires that each dimension of global size is a multiple of the corresponding dimension of
  work-group size. A value of 1 is true, and 0 is false. This metadata is only provided when the value is
  1.
* Added the `rocm-llvm-docs` package.
* Added ROCm Device-Libs, ROCm Compiler Support, and hipCC within the `llvm-project/amd`
  subdirectory to AMD’s fork of the LLVM project.
* Added support for C++ Parallel Algorithm Offload via HIP (HIPSTDPAR), which allows parallel
  algorithms to run on the GPU.

#### Changes

* `rocm-clang-ocl` is now an optional package and will require manual installation.

#### Fixes

AddressSanitizer (ASan):
* Added `sanitized_padded_global` LLVM ir attribute to identify sanitizer instrumented globals.
* For ASan instrumented global, emit two symbols: one with actual size and the other with
  instrumented size.

  [On GitHub](https://github.com/ROCm/ROCm/issues/2551)

#### Deprecations

* hipCC adds `-mllvm`, `-amdgpu-early-inline-all=true`, and `-mllvm` `-amdgpu-function-calls=false` by
  default to compiler invocations. These flags will be removed from hipCC in a future ROCm release.

#### Known issues

* Due to an issue within the `amd-llvm` compiler shipping with ROCm 6.1, HIPSTDPAR's interposition mode, which is enabled by `--hipstdpar-interpose-alloc` is currently broken.

The temporary workaround is to use the upstream LLVM 18 (or newer) compiler. This issue will be addressed in a future ROCm release ."

### ROCm Data Center (RDC)

RDC for ROCm 6.1.0

#### Changes

* Added `--address` flag to rdcd
* Upgraded from C++11 to C++17
* Upgraded gRPC

### ROCDebugger (ROCgdb)

ROCgdb for ROCm 6.1.0

#### Fixes

Previously, ROCDebugger encountered hangs and crashes when stepping over the `s_endpgm`
instruction at the end of a HIP kernel entry function, which caused the stepped wave to exit. This issue
is fixed in the ROCm 6.1 release. You can now step over the last instruction of any HIP kernel without
debugger hangs or crashes.

### ROCm SMI

ROCm SMI for ROCm 6.1.0

#### Additions

* **Added support to set max/min clock level for sclk ('RSMI_CLK_TYPE_SYS') or mclk ('RSMI_CLK_TYPE_MEM')**.
  You can now set a maximum or minimum `sclk` or `mclk` value through the
  `rsmi_dev_clk_extremum_set()` API provided ASIC support. Alternatively, you can use our Python CLI
  tool (`rocm-smi --setextremum max sclk 1500`).

* **Added `rsmi_dev_target_graphics_version_get()`**. You can now query through ROCm SMI API
  (`rsmi_dev_target_graphics_version_get()`) to retreive the target graphics version for a GPU device.
  Currently, this output is not supplied through our ROCm SMI CLI.

#### Changes

* **Removed non-unified API headers: Individual GPU metric APIs are no longer supported**.
  The individual metric APIs (`rsmi_dev_metrics_*`) were removed in order to keep updates easier for
  new GPU metric support. By providing a simple API (`rsmi_dev_gpu_metrics_info_get()`) with its
  reported device metrics, it is worth noting there is a risk for ABI break-age using
  `rsmi_dev_gpu_metrics_info_get()`. It is vital to understand that ABI breaks are necessary (in some
  cases) in order to support newer ASICs and metrics for our customers. We will continue to support
  `rsmi_dev_gpu_metrics_info_get()` with these considerations and limitations in mind.

* **Deprecated 'rsmi_dev_power_ave_get()'; use the newer API, 'rsmi_dev_power_get()'**. As
  outlined in the change for 6.0.0 (*Added a generic power API: rsmi_dev_power_get*), is now
  deprecated. You must update your ROCm SMI API calls accordingly.

#### Fixes

* Fixed `--showpids` reporting `[PID] [PROCESS NAME] 1 UNKNOWN UNKNOWN UNKNOWN`.
  Output was failing because `cu_occupancy debugfs` method is not provided on some graphics cards
  by design. `get_compute_process_info_by_pid` was updated to reflect this and returns with the output
  needed by the CLI.

* Fixed `rocm-smi --showpower` output, which was inconsistent on some RDNA3 devices.
  We updated this to use `rsmi_dev_power_get()` within the CLI to provide a consistent device power
  output. This was caused by using the now-deprecated `rsmi_dev_average_power_get()` API.

* Fixed `rocm-smi --setcomputepartition` and `rocm-smi --resetcomputepartition` to notate if device is
  `EBUSY`

* Fixed `rocm-smi --setmemorypartition` and `rocm-smi --resetmemorypartition` read only SYSFS to
  return `RSMI_STATUS_NOT_SUPPORTED`
  The  `rsmi_dev_memory_partition_set` API is updated to handle the read-only SYSFS check.
  Corresponding tests and CLI (`rocm-smi --setmemorypartition` and
  `rocm-smi --resetmemorypartition`) calls were updated accordingly.

* Fixed `rocm-smi --showclkvolt` and `rocm-smi --showvc`, which were displaying 0 for overdrive and
  that the voltage curve is not supported.

### ROCProfiler

ROCProfiler for ROCm 6.1.0

#### Fixes

* Fixed ROCprofiler to match versioning changes in HIP Runtime
* Fixed plugins race condition
* Updated metrics to MI300

### ROCm Validation Suite

#### Known issue

* In a future release, the ROCm Validation Suite P2P Benchmark and Qualification Tool (PBQT) tests will be optimized to meet the target bandwidth requirements for MI300X.

  [On GitHub](https://github.com/ROCm/ROCm/issues/3027)

### MI200 SR-IOV

#### Known issue

* Multimedia applications may encounter compilation errors in the MI200 Single Root Input/Output Virtualization (SR-IOV) environment. This is because MI200 SR-IOV does not currently support multimedia applications.

  [On GitHub](https://github.com/ROCm/ROCm/issues/3028)

### AMD MI300A RAS

#### Fixes

* GFX correctable and uncorrectable error inject failures. Previously, the AMD CPU Reliability, Availability, and Serviceability (RAS) installation encountered correctable and uncorrectable failures while injecting an error.

This issue is resolved in the ROCm 6.1 release, and users will no longer encounter the GFX correctable error (CE) and uncorrectable error (UE) failures.

### Library changes in ROCm 6.1.0

| Library | Version |
|---------|---------|
| AMDMIGraphX | 2.8 ⇒ [2.9](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-6.1.0) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-6.1.0) |
| hipBLAS | 2.0.0 ⇒ [2.1.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-6.1.0) |
| hipBLASLt | [0.7.0](https://github.com/ROCm/hipBLASLt/releases/tag/rocm-6.1.0) |
| hipCUB | 3.0.0 ⇒ [3.1.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-6.1.0) |
| hipFFT | 1.0.13 ⇒ [1.0.14](https://github.com/ROCm/hipFFT/releases/tag/rocm-6.1.0) |
| hipRAND | [2.10.17](https://github.com/ROCm/hipRAND/releases/tag/rocm-6.1.0) |
| hipSOLVER | 2.0.0 ⇒ [2.1.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-6.1.0) |
| hipSPARSE | 3.0.0 ⇒ [3.0.1](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-6.1.0) |
| hipSPARSELt | [0.2.0](https://github.com/ROCm/hipSPARSELt/releases/tag/rocm-6.1.0) |
| hipTensor | 1.1.0 ⇒ [1.2.0](https://github.com/ROCm/hipTensor/releases/tag/rocm-6.1.0) |
| MIOpen | 2.19.0 ⇒ [3.1.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-6.1.0) |
| MIVisionX | [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-6.1.0) |
| rccl | [2.18.6](https://github.com/ROCm/rccl/releases/tag/rocm-6.1.0) |
| rocALUTION | 3.0.3 ⇒ [3.1.1](https://github.com/ROCm/rocALUTION/releases/tag/rocm-6.1.0) |
| rocBLAS | 4.0.0 ⇒ [4.1.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-6.1.0) |
| rocDecode | [0.5.0](https://github.com/ROCm/rocDecode/releases/tag/rocm-6.1.0) |
| rocFFT | 1.0.25 ⇒ [1.0.26](https://github.com/ROCm/rocFFT/releases/tag/rocm-6.1.0) |
| rocm-cmake | 0.11.0 ⇒ [0.12.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-6.1.0) |
| rocPRIM | 3.0.0 ⇒ [3.1.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-6.1.0) |
| rocRAND | 3.0.0 ⇒ [3.0.1](https://github.com/ROCm/rocRAND/releases/tag/rocm-6.1.0) |
| rocSOLVER | 3.24.0 ⇒ [3.25.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-6.1.0) |
| rocSPARSE | 3.0.2 ⇒ [3.1.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-6.1.0) |
| rocThrust | 3.0.0 ⇒ [3.0.1](https://github.com/ROCm/rocThrust/releases/tag/rocm-6.1.0) |
| rocWMMA | 1.3.0 ⇒ [1.4.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-6.1.0) |
| rpp | 1.4.0 ⇒ [1.5.0](https://github.com/ROCm/rpp/releases/tag/rocm-6.1.0) |
| Tensile | 4.39.0 ⇒ [4.40.0](https://github.com/ROCm/Tensile/releases/tag/rocm-6.1.0) |

#### AMDMIGraphX 2.9

MIGraphX 2.9 for ROCm 6.1.0

##### Additions

* Added FP8 support
* Created a dockerfile with MIGraphX+ONNX Runtime EP+Torch
* Added support for the `Hardmax`, `DynamicQuantizeLinear`, `Qlinearconcat`, `Unique`, `QLinearAveragePool`, `QLinearSigmoid`, `QLinearLeakyRelu`, `QLinearMul`, `IsInf` operators
* Created web site examples for `Whisper`, `Llama-2`, and `Stable Diffusion 2.1`
* Created examples of using the ONNX Runtime MIGraphX Execution Provider with the `InceptionV3` and `Resnet50` models
* Updated operators to support ONNX Opset 19
* Enable fuse_pointwise and fuse_reduce in the driver
* Add support for dot-(mul)-softmax-dot offloads to MLIR
* Added Blas auto-tuning for GEMMs
* Added dynamic shape support for the multinomial operator
* Added fp16 to accuracy checker
* Added initial code for running on Windows OS

##### Optimizations

* Improved the output of migraphx-driver command
* Documentation now shows all environment variables
* Updates needed for general stride support
* Enabled Asymmetric Quantization
* Added ScatterND unsupported reduction modes
* Rewrote softmax for better performance
* General improvement to how quantization is performed to support INT8
* Used problem_cache for gemm tuning
* Improved performance by always using rocMLIR for quantized convolution
* Improved group convolutions by using rocMLIR
* Improved accuracy of fp16 models
* ScatterElements unsupported reduction
* Added concat fusions
* Improved INT8 support to include UINT8
* Allow reshape ops between dq and quant_op
* Improve dpp reductions on navi
* Have the accuracy checker print the whole final buffer
* Added support for handling dynamic Slice and ConstantOfShape ONNX operators
* Add support for the dilations attribute to Pooling ops
* Add layout attribute support for LSTM operator
* Improved performance by removing contiguous for reshapes
* Handle all slice input variations
* Add scales attribute parse in upsample for older opset versions
* Added support for uneven Split operations
* Improved unit testing to run in python virtual environments

##### Changes

* Cleanup LSTM and RNN activation functions
* Placed gemm_pointwise at a higher priority than layernorm_pointwise
* Updated README to mention the need to include GPU_TARGETS when building MIGraphX

##### Fixes

* Fixed outstanding issues in autogenerated documentation
* Update model zoo paths for examples
* Fixed promote_literals_test by using additional if condition
* Fixed export API symbols from dynamic library
* Fixed bug in pad operator from dimension reduction
* Fixed using the LD to embed files and enable by default when building shared libraries on linux
* fixed get_version()
* Fixed Round operator inaccuracy
* Fixed wrong size check when axes not present for slice
* Set the .SO version correctly

##### Removals

* Removed unused device kernels from Gather and Pad operators
* Removed int8x4 format

#### hipBLAS 2.1.0

hipBLAS 2.1.0 for ROCm 6.1.0

##### Additions

* New build option to automatically use hipconfig --platform to determine HIP platform
* Level 1 functions have additional ILP64 API for both C and Fortran (`_64` name
  suffix) with int64_t function arguments
* New functions hipblasGetMathMode and hipblasSetMathMode

##### Changes

* Some Level 2 function argument names have changed from `m` to `n` to match legacy BLAS; there
  was no change in implementation.
* Updated client code to use YAML-based testing
* Renamed `.doxygen` and `.sphinx` folders to `doxygen` and `sphinx`, respectively
* Added CMake support for documentation

##### Deprecations

* USE_CUDA build option; use HIP_PLATFORM=amd or HIP_PLATFORM=nvidia to override hipconfig

#### hipBLASLt 0.7.0

hipBLASLt 0.7.0 for ROCm 6.1.0

##### Additions

* Added `hipblasltExtSoftmax` extension API
* Added `hipblasltExtLayerNorm` extension API
* Added `hipblasltExtAMax` extension API
* Added `GemmTuning` extension parameter to set split-k by user
* Support for mix precision datatype: fp16/fp8 in with fp16 out

#### hipCUB 3.1.0

hipCUB 3.1.0 for ROCm 6.1.0

##### Additions

- Added interface `DeviceMemcpy::Batched` for batched memcpy from rocPRIM and CUB.

##### Changes

- CUB backend references CUB and Thrust version 2.1.0.
- Updated `HIPCUB_HOST_WARP_THREADS` macro definition to match `host_warp_size` changes from rocPRIM 3.0.
- Implemented `__int128_t` and `__uint128_t` support for radix_sort.

##### Fixes

- Fixed build issues with `rmake.py` on Windows when using VS 2017 15.8 or later due to a breaking fix with extended aligned storage.

#### hipFFT 1.0.14

hipFFT 1.0.14 for ROCm 6.1.0

##### Changes

* When building hipFFT from source, rocFFT code no longer needs to be initialized as a git submodule.

##### Fixes

* Fixed error when creating length-1 plans.

#### hipSOLVER 2.1.0

hipSOLVER 2.1.0 for ROCm 6.1.0

##### Additions

- Added compatibility API with hipsolverSp prefix
- Added compatibility-only functions
  - csrlsvchol
    - hipsolverSpScsrlsvcholHost, hipsolverSpDcsrlsvcholHost
    - hipsolverSpScsrlsvchol, hipsolverSpDcsrlsvchol
- Added rocSPARSE and SuiteSparse as optional dependencies to hipSOLVER (rocSOLVER backend only). Use the `BUILD_WITH_SPARSE` CMake option to enable
  functionality for the hipsolverSp API (on by default).
- Added hipSPARSE as an optional dependency to hipsolver-test. Use the `BUILD_WITH_SPARSE` CMake option to enable tests of the hipsolverSp API (on by default).

##### Changes

- Relax array length requirements for GESVDA.

##### Fixes

- Fixed incorrect singular vectors returned from GESVDA.

#### hipSPARSE 3.0.1

hipSPARSE 3.0.1 for ROCm 6.1.0

##### Fixes

* Fixes to the build chain

#### hipSPARSELt 0.2.0

hipSPARSELt 0.2.0 for ROCm 6.1.0

##### Additions

- Support Matrix B is a Structured Sparsity Matrix.

#### hipTensor 1.2.0

hipTensor 1.2.0 for ROCm 6.1.0

##### Additions

* API support for permutation of rank 4 tensors: f16 and f32
* New datatype support in contractions of rank 4: f16, bf16, complex f32, complex f64
* Added scale and bilinear contraction samples and tests for new supported data types
* Added permutation samples and tests for f16, f32 types

##### Fixes

* Fixed bug in contraction calculation with data type f32

#### MIOpen 3.1.0

MIOpen 3.1.0 for ROCm 6.1.0

##### Additions

- CK-based 2d/3d convolution solvers to support nchw/ncdhw layout
- Fused solver for Fwd Convolution with Residual, Bias and activation
- AI Based Parameter Prediction Model for conv_hip_igemm_group_fwd_xdlops Solver
- Forward, backward data and backward weight convolution solver with fp8/bfp8
- check for packed tensors for convolution solvers
- Integrate CK&#39;s layer norm
- Combine gtests into single binary

##### Changes

- Standardize workspace abstraction
- Use split CK libraries

##### Fixes

- fix for backward passes bwd/wrw for CK group conv 3d
- Fixed out-of-bounds memory access : ConvOclDirectFwdGen
- fixed build failure due to hipRTC

##### Removals

- clamping to MAX from CastTensor used in Bwd and WrW convolution

#### rccl 2.18.6

RCCL 2.18.6 for ROCm 6.1.0

##### Changes

- Compatibility with NCCL 2.18.6

#### rocALUTION 3.1.1

rocALUTION 3.1.1 for ROCm 6.1.0

##### Additions

* `TripleMatrixProduct` functionality for `GlobalMatrix`
* Multi-Node/GPU support for `UA-AMG`, `SA-AMG` and `RS-AMG`
* Iterative ILU0 preconditioner `ItILU0`
* Iterative triangular solve, selectable via `SolverDecr` class

##### Deprecations

* `LocalMatrix::AMGConnect`
* `LocalMatrix::AMGAggregate`
* `LocalMatrix::AMGPMISAggregate`
* `LocalMatrix::AMGSmoothedAggregation`
* `LocalMatrix::AMGAggregation`
* `PairwiseAMG`

##### Known Issues

* `PairwiseAMG` does currently not support matrix sizes that exceed int32 range
* `PairwiseAMG` might fail building the hierarchy on certain input matrices

#### rocBLAS 4.1.0

rocBLAS 4.1.0 for ROCm 6.1.0

##### Additions

* Level 1 and Level 1 Extension functions have additional ILP64 API for both C and FORTRAN (_64 name suffix) with int64_t function arguments.
* Cache flush timing for gemm_ex.

##### Changes

* Some Level 2 function argument names have changed &#39;m&#39; to &#39;n&#39; to match legacy BLAS, there was no change in implementation.
* Standardized the use of non-blocking streams for copying results from device to host.

##### Fixes

* Fixed host-pointer mode reductions for non-blocking streams.

#### rocDecode 0.5.0

rocDecode 0.5.0 for ROCm 6.1.0

##### Changes

* Changed setup updates
* Added AMDGPU package support
* Optimized package dependencies
* Updated README

##### Fixes

* Minor bug fix and updates

###### Tested Configurations

* Linux distribution
  * Ubuntu - `20.04` / `22.04`
* ROCm:
  * rocm-core - `6.1.0.60100-28`
  * amdgpu-core - `1:6.1.60100-1731559`
* FFMPEG - `4.2.7` / `4.4.2-0`
* rocDecode Setup Script - `V1.4`

#### rocFFT 1.0.26

rocFFT 1.0.26 for ROCm 6.1.0

##### Changes

* Multi-device FFTs now allow batch greater than 1
* Multi-device, real-complex FFTs are now supported
* rocFFT now statically links libstdc++ when only `std::experimental::filesystem` is available (to guard
  against ABI incompatibilities with newer libstdc++ libraries that include `std::filesystem`)

#### rocm-cmake 0.12.0

rocm-cmake 0.12.0 for ROCm 6.1.0

##### Changes

- ROCMSphinxDoc: Allow separate source and config directories.
- ROCMCreatePackage: Allow additional `PROVIDES` on header-only packages.
- ROCMInstallTargets: Don&#39;t install executable targets by default for ASAN builds.
- ROCMTest: Add RPATH for installed tests.
- Finalize rename to ROCmCMakeBuildTools

##### Fixes

- ROCMClangTidy: Fixed invalid list index.
- Test failures when ROCM_CMAKE_GENERATOR is empty.

#### rocPRIM 3.1.0

rocPRIM 3.1.0 for ROCm 6.1.0

##### Additions

* New primitive: `block_run_length_decode`
* New primitive: `batch_memcpy`

##### Changes

* Renamed:
  * `scan_config_v2` to `scan_config`
  * `scan_by_key_config_v2` to `scan_by_key_config`
  * `radix_sort_config_v2` to `radix_sort_config`
  * `reduce_by_key_config_v2` to `reduce_by_key_config`
  * `radix_sort_config_v2` to `radix_sort_config`
* Removed support for custom config types for device algorithms
* `host_warp_size()` was moved into `rocprim/device/config_types.hpp`; it now uses either `device_id` or
  a `stream` parameter to query the proper device and a `device_id` out parameter
  * The return type is `hipError_t`
* Added support for `__int128_t` in `device_radix_sort` and `block_radix_sort`
* Improved the performance of `match_any`, and `block_histogram` which uses it

##### Fixes

* Build issues with `rmake.py` on Windows when using VS 2017 15.8 or later (due to a breaking fix with
  extended aligned storage)

##### Deprecations

* Removed `reduce_by_key_config`, `MatchAny`, `scan_config`, `scan_by_key_config`, and
  `radix_sort_config`

#### rocRAND 3.0.1

rocRAND 3.0.1 for ROCm 6.1.0

##### Fixes

* Implemented workaround for regressions in XORWOW and LFSR on MI200

#### rocSOLVER 3.25.0

rocSOLVER 3.25.0 for ROCm 6.1.0

##### Added

- Eigensolver routines for symmetric/hermitian matrices using Divide &amp; Conquer and Jacobi algorithm:
    - SYEVDJ (with batched and strided\_batched versions)
    - HEEVDJ (with batched and strided\_batched versions)
- Generalized symmetric/hermitian-definite eigensolvers using Divide &amp; Conquer and Jacobi algorithm:
    - SYGVDJ (with batched and strided\_batched versions)
    - HEGVDJ (with batched and strided\_batched versions)

##### Changed

- Relaxed array length requirements for GESVDX with `rocblas_srange_index`.

##### Fixed

- Corrected singular vector normalization in BDSVDX and GESVDX
- Fixed potential memory access fault in STEIN, SYEVX/HEEVX, SYGVX/HEGVX, BDSVDX and GESVDX

##### Removals

- Removed gfx803 and gfx900 from default build targets.

#### rocSPARSE 3.1.2

rocSPARSE 3.1.2 for ROCm 6.1.0

##### Additions

* New LRB algorithm to SpMV, supporting CSR format
* rocBLAS as now an optional dependency for SDDMM algorithms
* Additional verbose output for `csrgemm` and `bsrgemm`

##### Optimizations

* Triangular solve with multiple rhs (SpSM, csrsm, ...) now calls SpSV, csrsv, etcetera when nrhs equals 1
* Improved user manual section *Installation and Building for Linux and Windows*
* Improved SpMV in CSR format on MI300

#### rocThrust 3.0.1

rocThrust 3.0.1 for ROCm 6.1.0

##### Fixes

* Ported a fix from thrust 2.2 that ensures `thrust::optional` is trivially copyable.

#### rocWMMA 1.4.0

rocWMMA 1.4.0 for ROCm 6.1.0

##### Additions

* Added bf16 support for hipRTC sample

##### Changes

* Changed Clang C++ version to C++17
* Updated rocwmma_coop API
* Linked rocWMMA to hiprtc

##### Fixes

* Fixed compile/runtime arch checks
* Built all test in large code model
* Removed inefficient branching in layout loop unrolling

#### rpp 1.5.0

rpp for ROCm 6.1.0

##### Changes

* Prerequisites

###### Tested Configurations

* Linux distribution
  * Ubuntu - `20.04` / `22.04`
  * CentOS - `7`
  * RHEL - `8`/`9`
* ROCm: rocm-core - `5.5.0.50500-63`
* Clang - Version `5.0.1` and above
* CMake - Version `3.22.3`
* IEEE 754-based half-precision floating-point library - Version `1.12.0`

#### Tensile 4.40.0

Tensile 4.40.0 for ROCm 6.1.0

##### Additions

- new DisableKernelPieces values to invalidate local read, local write, and global read
- stream-K kernel generation, including two-tile stream-k algorithm by setting StreamK=3
- feature to allow testing stream-k grid multipliers
- debug output to check occupancy for Stream-K
- reject condition for FractionalLoad + DepthU!=power of 2
- new TENSILE_DB debugging value to dump the common kernel parameters
- predicate for APU libs
- new parameter (ClusterLocalRead) to turn on/off wider local read opt for TileMajorLDS
- new parameter (ExtraLatencyForLR) to add extra interval between local read and wait
- new logic to check LDS size with auto LdsPad(=1) and change LdsPad to 0 if LDS overflows
- initialization type and general batched options to the rocblas-bench input creator script

##### Optimizations

- enabled MFMA + LocalSplitU=4 for MT16x16
- enabled (DirectToVgpr + MI4x4) and supported skinny MacroTile
- optimized postGSU kernel: separate postGSU kernels for different GSU values, loop unroll for GSU loop, wider global load depending on array size, and parallel reduction depending on array size
- auto LdsPad calculation for TileMajorLds + MI16x16
- auto LdsPad calculation for UnrollMajorLds + MI16x16 + VectorWidth

##### Changes

- cleared hipErrorNotFound error since it is an expected part of the search
- modified hipcc search path for Linux
- changed PCI ID from 32bit to 64bit for ROCm SMI HW monitor
- changed LdsBlockSizePerPad to LdsBlockSizePerPadA, B to specify LBSPP separately
- changed the default value of LdsPadA, B, LdsBlockSizePerPadA, B from 0 to -1
- updated test cases according to parameter changes for LdsPad, LBSPP and ClusterLocalRead
- Replaced std::regex with fnmatch()/PathMatchSpec as a workaround to std::regex stack overflow known bug

##### Fixes

- hipcc compile append flag parallel-jobs=4
- race condition in Stream-K that appeared with large grids and small sizes
- mismatch issue with LdsPad + LdsBlockSizePerPad!=0 and TailLoop
- mismatch issue with LdsPad + LdsBlockSizePerPad!=0 and SplitLds
- incorrect reject condition check for DirectToLds + LdsBlockSizePerPad=-1 case
- small fix for LdsPad optimization (LdsElement calculation)

-------------------

## ROCm 6.0.2

The ROCm 6.0.2 point release consists of minor bug fixes to improve the stability of MI300 GPU applications. This release introduces several new driver features for system qualification on our partner server offerings.

#### hipFFT 1.0.13

hipFFT 1.0.13 for ROCm 6.0.2

##### Changes

* Removed the Git submodule for shared files between rocFFT and hipFFT; instead, just copy the files
 over (this should help simplify downstream builds and packaging)

### Library changes in ROCm 6.0.2

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.8](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-6.0.2) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-6.0.2) |
| hipBLAS | [2.0.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-6.0.2) |
| hipCUB | [3.0.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-6.0.2) |
| hipFFT | [1.0.13](https://github.com/ROCm/hipFFT/releases/tag/rocm-6.0.2) |
| hipRAND | [2.10.17](https://github.com/ROCm/hipRAND/releases/tag/rocm-6.0.2) |
| hipSOLVER | [2.0.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-6.0.2) |
| hipSPARSE | [3.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-6.0.2) |
| hipTensor | [1.1.0](https://github.com/ROCm/hipTensor/releases/tag/rocm-6.0.2) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-6.0.2) |
| MIVisionX | [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-6.0.2) |
| rccl | [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-6.0.2) |
| rocALUTION | [3.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-6.0.2) |
| rocBLAS | [4.0.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-6.0.2) |
| rocFFT | [1.0.25](https://github.com/ROCm/rocFFT/releases/tag/rocm-6.0.2) |
| rocm-cmake | [0.11.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-6.0.2) |
| rocPRIM | [3.0.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-6.0.2) |
| rocRAND | 2.10.17 ⇒ [3.0.0](https://github.com/ROCm/rocRAND/releases/tag/rocm-6.0.2) |
| rocSOLVER | [3.24.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-6.0.2) |
| rocSPARSE | [3.0.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-6.0.2) |
| rocThrust | [3.0.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-6.0.2) |
| rocWMMA | [1.3.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-6.0.2) |
| rpp | [1.4.0](https://github.com/ROCm/rpp/releases/tag/rocm-6.0.2) |
| Tensile | [4.39.0](https://github.com/ROCm/Tensile/releases/tag/rocm-6.0.2) |

#### rocRAND 3.0.0

rocRAND 3.0.0 for ROCm 6.0.2

##### Optimizations

- Improved MT19937 initialization and generation performance.

##### Changes

- Generator classes from `rocrand.hpp` are no longer copyable, in previous versions these copies
would copy internal references to the generators and would lead to double free or memory leak errors.
  These types should be moved instead of copied, and move constructors and operators are now defined
  for them.

##### Fixes

- `mt19937_engine` from `rocrand.hpp` is now move-constructible and move-assignable. Previously the
move constructor and move assignment operator was deleted for this class.
- Various fixes for the C++ wrapper header rocrand.hpp
  - fixed the name of `mrg31k3p` it is now correctly spelled (was incorrectly named`mrg31k3a` in
    previous versions).
  - added missing `order` setter method for `threefry4x64`
  - fixed the default ordering parameter for `lfsr113`
- Build error when using clang++ directly due to unsupported references to amdgpu-target

##### Removals

- Removed hipRAND submodule from rocRAND. hipRAND is now only available as a separate package.
- Removed references to and workarounds for deprecated hcc

-------------------

## ROCm 6.0.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->

ROCm 6.0 is a major release with new performance optimizations, expanded frameworks and library
support, and improved developer experience. This includes initial enablement of the AMD Instinct™
MI300 series. Future releases will further enable and optimize this new platform. Key features include:

* Improved performance in areas like lower precision math and attention layers.
* New hipSPARSELt library to accelerate AI workloads via AMD's sparse matrix core technique.
* Latest upstream support for popular AI frameworks like PyTorch, TensorFlow, and JAX.
* New support for libraries, such as DeepSpeed, ONNX-RT, and CuPy.
* Prepackaged HPC and AI containers on AMD Infinity Hub, with improved documentation and
  tutorials on the [AMD ROCm Docs](https://rocm.docs.amd.com) site.
* Consolidated developer resources and training on the new AMD ROCm Developer Hub.

The following section provide a release overview for ROCm 6.0. For additional details, you can refer to
the [Changelog](https://rocm.docs.amd.com/en/docs-6.0.0/about/CHANGELOG.html).

### OS and GPU support changes

AMD Instinct™ MI300A and MI300X Accelerator support has been enabled for limited operating
systems.

* Ubuntu 22.04.3 (MI300A and MI300X)
* RHEL 8.9 (MI300A)
* SLES 15 SP5 (MI300A)

We've added support for the following operating systems:

* RHEL 9.3
* RHEL 8.9

Note that, of ROCm 6.2, we've planned for end-of-support (EoS) for the following operating systems:

* Ubuntu 20.04.5
* SLES 15 SP4
* RHEL/CentOS 7.9

### New ROCm meta package

We've added a new ROCm meta package for easy installation of all ROCm core packages, tools, and
libraries. For example, the following command will install the full ROCm package: `apt-get install rocm`
(Ubuntu), or `yum install rocm` (RHEL).

### Filesystem Hierarchy Standard

ROCm 6.0 fully adopts the Filesystem Hierarchy Standard (FHS) reorganization goals. We've removed
the backward compatibility support for old file locations.

### Compiler location change

* The installation path of LLVM has been changed from `/opt/rocm-<rel>/llvm` to
  `/opt/rocm-<rel>/lib/llvm`. For backward compatibility, a symbolic link is provided to the old
  location and will be removed in a future release.
* The installation path of the device library bitcode has changed from `/opt/rocm-<rel>/amdgcn` to
  `/opt/rocm-<rel>/lib/llvm/lib/clang/<ver>/lib/amdgcn`. For backward compatibility, a symbolic link
  is provided and will be removed in a future release.

### Documentation

CMake support has been added for documentation in the
[ROCm repository](https://github.com/ROCm/ROCm).

### AMD Instinct™ MI50 end-of-support notice

AMD Instinct MI50, Radeon Pro VII, and Radeon VII products (collectively gfx906 GPUs) enters
maintenance mode in ROCm 6.0.

As outlined in [5.6.0](https://rocm.docs.amd.com/en/docs-5.6.0/release.html), ROCm 5.7 was the
final release for gfx906 GPUs in a fully supported state.

  * Henceforth, no new features and performance optimizations will be supported for the gfx906 GPUs.
  * Bug fixes and critical security patches will continue to be supported for the gfx906 GPUs until Q2
    2024 (end of maintenance \[EOM] will be aligned with the closest ROCm release).
  * Bug fixes will be made up to the next ROCm point release.
  * Bug fixes will not be backported to older ROCm releases for gfx906.
  * Distribution and operating system updates will continue per the ROCm release cadence for gfx906
    GPUs until EOM.

### Known issues

* Hang is observed with rocSPARSE tests: [Issue 2726](https://github.com/ROCm/ROCm/issues/2726).
* AddressSanitizer instrumentation is incorrect for device global variables:
  [Issue 2551](https://github.com/ROCm/ROCm/issues/2551).
* Dynamically loaded HIP runtime library references incorrect version of `hipDeviceGetProperties`
  API: [Issue 2728](https://github.com/ROCm/ROCm/issues/2728).
* Memory access violations when running rocFFT-HMM:
  [Issue 2730](https://github.com/ROCm/ROCm/issues/2730).

### Library changes

| Library | Version |
|---------|---------|
| AMDMIGraphX |  ⇒ [2.8](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-6.0.0) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-6.0.0) |
| HIP | [6.0.0](https://github.com/ROCm/HIP/releases/tag/rocm-6.0.0) |
| hipBLAS |  ⇒ [2.0.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-6.0.0) |
| hipCUB |  ⇒ [3.0.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-6.0.0) |
| hipFFT |  ⇒ [1.0.13](https://github.com/ROCm/hipFFT/releases/tag/rocm-6.0.0) |
| hipSOLVER |  ⇒ [2.0.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-6.0.0) |
| hipSPARSE |  ⇒ [3.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-6.0.0) |
| hipTensor |  ⇒ [1.1.0](https://github.com/ROCm/hipTensor/releases/tag/rocm-6.0.0) |
| MIOpen |  ⇒ [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-6.0.0) |
| rccl |  ⇒ [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-6.0.0) |
| rocALUTION |  ⇒ [3.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-6.0.0) |
| rocBLAS |  ⇒ [4.0.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-6.0.0) |
| rocFFT |  ⇒ [1.0.25](https://github.com/ROCm/rocFFT/releases/tag/rocm-6.0.0) |
| ROCgdb | [13.2](https://github.com/ROCm/ROCgdb/releases/tag/rocm-6.0.0) |
| rocm-cmake |  ⇒ [0.11.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-6.0.0) |
| rocPRIM |  ⇒ [3.0.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-6.0.0) |
| rocprofiler | [2.0.0](https://github.com/ROCm/rocprofiler/releases/tag/rocm-6.0.0) |
| rocRAND |  ⇒ [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-6.0.0) |
| rocSOLVER |  ⇒ [3.24.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-6.0.0) |
| rocSPARSE |  ⇒ [3.0.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-6.0.0) |
| rocThrust |  ⇒ [3.0.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-6.0.0) |
| rocWMMA |  ⇒ [1.3.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-6.0.0) |
| Tensile |  ⇒ [4.39.0](https://github.com/ROCm/Tensile/releases/tag/rocm-6.0.0) |

#### AMDMIGraphX 2.8

MIGraphX 2.8 for ROCm 6.0.0

##### Additions

* Support for TorchMIGraphX via PyTorch
* Boosted overall performance by integrating rocMLIR
* INT8 support for ONNX Runtime
* Support for ONNX version 1.14.1
* Added new operators: `Qlinearadd`, `QlinearGlobalAveragePool`, `Qlinearconv`, `Shrink`, `CastLike`,
  and `RandomUniform`
* Added an error message for when `gpu_targets` is not set during MIGraphX compilation
* Added parameter to set tolerances with `migraphx-driver` verify
* Added support for MXR files &gt; 4 GB
* Added `MIGRAPHX_TRACE_MLIR` flag
* BETA added capability for using ROCm Composable Kernels via the `MIGRAPHX_ENABLE_CK=1`
  environment variable

##### Optimizations

* Improved performance support for INT8
* Improved time precision while benchmarking candidate kernels from CK or MLIR
* Removed contiguous from reshape parsing
* Updated the `ConstantOfShape` operator to support Dynamic Batch
* Simplified dynamic shapes-related operators to their static versions, where possible
* Improved debugging tools for accuracy issues
* Included a print warning about `miopen_fusion` while generating `mxr`
* General reduction in system memory usage during model compilation
* Created additional fusion opportunities during model compilation
* Improved debugging for matchers
* Improved general debug messages

##### Fixes

* Fixed scatter operator for nonstandard shapes with some models from ONNX Model Zoo
* Provided a compile option to improve the accuracy of some models by disabling Fast-Math
* Improved layernorm + pointwise fusion matching to ignore argument order
* Fixed accuracy issue with `ROIAlign` operator
* Fixed computation logic for the `Trilu` operator
* Fixed support for the DETR model

##### Changes

* Changed MIGraphX version to 2.8
* Extracted the test packages into a separate deb file when building MIGraphX from source

##### Removals

* Removed building Python 2.7 bindings

#### AMD SMI

* Integrated the E-SMI library: You can now query CPU-related information directly through AMD SMI.
  Metrics include power, energy, performance, and other system details.

* Added support for gfx942 metrics: You can now query MI300 device metrics to get real-time
  information. Metrics include power, temperature, energy, and performance.

* Added support for compute and memory partitions

#### HIP 6.0.0

HIP 6.0.0 for ROCm 6.0.0

##### Additions

* New fields and structs for external resource interoperability
  * `hipExternalMemoryHandleDesc_st`
  * `hipExternalMemoryBufferDesc_st`
  * `hipExternalSemaphoreHandleDesc_st`
  * `hipExternalSemaphoreSignalParams_st`
  * `hipExternalSemaphoreWaitParams_st Enumerations`
  * `hipExternalMemoryHandleType_enum`
  * `hipExternalSemaphoreHandleType_enum`
  * `hipExternalMemoryHandleType_enum`

* New environment variable `HIP_LAUNCH_BLOCKING`
  * For serialization on kernel execution. The default value is 0 (disable); kernel will execute normally as
        defined in the queue. When this environment variable is set as 1 (enable), HIP runtime will
        serialize kernel enqueue; behaves the same as AMD_SERIALIZE_KERNEL.

* More members are added in HIP struct `hipDeviceProp_t`, for new feature capabilities including:
  * Texture
      * `int maxTexture1DMipmap;`
      * `int maxTexture2DMipmap[2];`
      * `int maxTexture2DLinear[3];`
      * `int maxTexture2DGather[2];`
      * `int maxTexture3DAlt[3];`
      * `int maxTextureCubemap;`
      * `int maxTexture1DLayered[2];`
      * `int maxTexture2DLayered[3];`
      * `int maxTextureCubemapLayered[2];`
  * Surface
      * `int maxSurface1D;`
      * `int maxSurface2D[2];`
      * `int maxSurface3D[3];`
      * `int maxSurface1DLayered[2];`
      * `int maxSurface2DLayered[3];`
      * `int maxSurfaceCubemap;`
      * `int maxSurfaceCubemapLayered[2];`
  * Device
      * `hipUUID uuid;`
      * `char luid[8];` this is an 8-byte unique identifier. Only valid on Windows
      * `unsigned int luidDeviceNodeMask;`

* LUID (Locally Unique Identifier) is supported for interoperability between devices. In HIP, more
        members are added in the struct `hipDeviceProp_t`, as properties to identify each device:
    * `char luid[8];`
    * `unsigned int luidDeviceNodeMask;`

:::{note}
HIP only supports LUID on Windows OS.
:::

##### Changes

* Some OpenGL Interop HIP APIs are moved from the hip_runtime_api header to a new header file hip_gl_interop.h for the AMD platform, as follows:
  * `hipGLGetDevices`
  * `hipGraphicsGLRegisterBuffer`
  * `hipGraphicsGLRegisterImage`

###### Changes impacting backward incompatibility

* Data types for members in `HIP_MEMCPY3D` structure are changed from `unsigned int` to `size_t`.
* The value of the flag `hipIpcMemLazyEnablePeerAccess` is changed to `0x01`, which was previously
  defined as `0`
* Some device property attributes are not currently supported in HIP runtime. In order to maintain
   consistency, the following related enumeration names are changed in `hipDeviceAttribute_t`
  * `hipDeviceAttributeName` is changed to `hipDeviceAttributeUnused1`
  * `hipDeviceAttributeUuid` is changed to `hipDeviceAttributeUnused2`
  * `hipDeviceAttributeArch` is changed to `hipDeviceAttributeUnused3`
  * `hipDeviceAttributeGcnArch` is changed to `hipDeviceAttributeUnused4`
  * `hipDeviceAttributeGcnArchName` is changed to `hipDeviceAttributeUnused5`
* HIP struct `hipArray` is removed from driver type header to comply with CUDA
* `hipArray_t` replaces `hipArray*`, as the pointer to array.
  * This allows `hipMemcpyAtoH` and `hipMemcpyHtoA` to have the correct array type which is
        equivalent to corresponding CUDA driver APIs.

##### Fixes

* Kernel launch maximum dimension validation is added specifically on gridY and gridZ in the HIP API `hipModule-LaunchKernel`. As a result,when `hipGetDeviceAttribute` is called for the value of `hipDeviceAttributeMaxGrid-Dim`, the behavior on the AMD platform is equivalent to NVIDIA.

* The HIP stream synchronization behavior is changed in internal stream functions, in which a flag "wait" is added and set when the current stream is null pointer while executing stream synchronization on other explicitly created streams. This change avoids blocking of execution on null/default stream. The change won't affect usage of applications, and makes them behave the same on the AMD platform as NVIDIA.

* Error handling behavior on unsupported GPU is fixed, HIP runtime will log out error message, instead of creating signal abortion error which is invisible to developers but continued kernel execution process. This is for the case when developers compile any application via hipcc, setting the option `--offload-arch` with GPU ID which is different from the one on the system.

* HIP complex vector type multiplication and division operations. On AMD platform, some duplicated complex operators are removed to avoid compilation failures. In HIP, `hipFloatComplex` and `hipDoubleComplex` are defined as complex data types: `typedef float2 hipFloatComplex; typedef double2 hipDoubleComplex;` Any application that uses complex multiplication and division operations needs to replace '*' and '/' operators with the following:
  * `hipCmulf()` and `hipCdivf()` for `hipFloatComplex`
  * `hipCmul()` and `hipCdiv()` for `hipDoubleComplex`
Note: These complex operations are equivalent to corresponding types/functions on NVIDIA platform.

##### Removals

* Deprecated Heterogeneous Compute (HCC) symbols and flags are removed from the HIP source code, including:
  * Build options on obsolete `HCC_OPTIONS` were removed from cmake.
  * Micro definitions are removed:
    * `HIP_INCLUDE_HIP_HCC_DETAIL_DRIVER_TYPES_H`
    * `HIP_INCLUDE_HIP_HCC_DETAIL_HOST_DEFINES_H`
  * Compilation flags for the platform definitions
    * AMD platform
      * `HIP_PLATFORM_HCC`
      * `HCC`
      * `HIP_ROCclr`
    * NVIDIA platform
      * `HIP_PLATFORM_NVCC`
* The [hcc_detail](https://github.com/ROCm/clr/tree/1949b1621a802ffb1492616adbae6154bfbe64ef/hipamd/include/hip/hcc_detail) and [nvcc_detail](https://github.com/ROCm/clr/tree/1949b1621a802ffb1492616adbae6154bfbe64ef/hipamd/include/hips/nvcc_detail) directories in the clr repository are removed.
* Deprecated gcnArch is removed from hip device struct `hipDeviceProp_t`.
* Deprecated `enum hipMemoryType memoryType;` is removed from HIP struct `hipPointerAttribute_t` union.

#### hipBLAS 2.0.0

hipBLAS 2.0.0 for ROCm 6.0.0

##### Additions

* New option to define `HIPBLAS_USE_HIP_BFLOAT16` to switch API to use the `hip_bfloat16` type
* New `hipblasGemmExWithFlags` API

##### Deprecations

* `hipblasDatatype_t`; use `hipDataType` instead
* `hipblasComplex`; use `hipComplex` instead
* `hipblasDoubleComplex`; use `hipDoubleComplex` instead
* Use of `hipblasDatatype_t` for `hipblasGemmEx` for compute-type; use `hipblasComputeType_t` instead

##### Removals

* `hipblasXtrmm` (calculates B <- alpha * op(A) * B) has been replaced with `hipblasXtrmm` (calculates
  C <- alpha * op(A) * B)


#### hipCUB 3.0.0

hipCUB 3.0.0 for ROCm 6.0.0

##### Changes

* Removed `DOWNLOAD_ROCPRIM`: you can force rocPRIM to download using
  `DEPENDENCIES_FORCE_DOWNLOAD`

#### hipFFT 1.0.13

hipFFT 1.0.13 for ROCm 6.0.0

##### Additions

* `hipfftXtSetGPUs`, `hipfftXtMalloc, hipfftXtMemcpy`, `hipfftXtFree`, and `hipfftXtExecDescriptor` APIs
  have been implemented to allow FFT computing on multiple devices in a single process

##### Changes

* `hipfft-rider` has been renamed to `hipfft-bench`; it is controlled by the `BUILD_CLIENTS_BENCH`
  CMake option (note that a link for the old file name is installed, and the old `BUILD_CLIENTS_RIDER`
  CMake option is accepted for backwards compatibility, but both will be removed in a future release)
* Binaries in debug builds no longer have a `-d` suffix
* The minimum rocFFT required version has been updated to 1.0.21

#### hipSOLVER 2.0.0

hipSOLVER 2.0.0 for ROCm 6.0.0

##### Additions

* Added hipBLAS as an optional dependency to `hipsolver-test`
  * You can use the `BUILD_HIPBLAS_TESTS` CMake option to test the compatibility between hipSOLVER
    and hipBLAS

##### Changes

* The `hipsolverOperation_t` type is now an alias of `hipblasOperation_t`
* The `hipsolverFillMode_t` type is now an alias of `hipblasFillMode_t`
* The `hipsolverSideMode_t` type is now an alias of `hipblasSideMode_t`

##### Fixes

* Tests for hipSOLVER info updates in `ORGBR/UNGBR`, `ORGQR/UNGQR`, `ORGTR/UNGTR`,
  `ORMQR/UNMQR`, and `ORMTR/UNMTR`

#### hipSPARSE 3.0.0

hipSPARSE 3.0.0 for ROCm 6.0.0

##### Additions

* Added `hipsparseGetErrorName` and `hipsparseGetErrorString`

##### Changes

* Changed the `hipsparseSpSV_solve()` API function to match the cuSPARSE API
* Changed generic API functions to use const descriptors
* Improved documentation

#### hipTensor 1.1.0

hipTensor 1.1.0 for ROCm 6.0.0

##### Additions

* Architecture support for gfx942
* Client tests configuration parameters now support YAML file input format

##### Changes

* Doxygen now treats warnings as errors

##### Fixes

* Client tests output redirections now behave accordingly
* Removed dependency static library deployment
* Security issues for documentation
* Compile issues in debug mode
* Corrected soft link for ROCm deployment

#### MIOpen 2.19.0

MIOpen 2.19.0 for ROCm 6.0.0

##### Additions

* ROCm 5.5 support for gfx1101 (Navi32)

##### Changes

* Tuning results for MLIR on ROCm 5.5
* Bumped MLIR commit to 5.5.0 release tag

##### Fixes

* 3-D convolution host API bug
* `[HOTFIX][MI200][FP16]` has been disabled for `ConvHipImplicitGemmBwdXdlops` when FP16_ALT is
  required

####	MIVisionX

* Added Comprehensive CTests to aid developers
* Introduced Doxygen support for complete API documentation
* Simplified dependencies for rocAL

#### OpenMP

* MI300:
  * Added support for gfx942 targets
  * Fixed declare target variable access in unified_shared_memory mode
  * Enabled OMPX_APU_MAPS environment variable for MI200 and gfx942
  * Handled global pointers in forced USM (`OMPX_APU_MAPS`)

* Nextgen AMDGPU plugin:
  * Respect `GPU_MAX_HW_QUEUES` in the AMDGPU Nextgen plugin, which takes precedence over the
  standard `LIBOMPTARGET_AMDGPU_NUM_HSA_QUEUES` environment variable
  * Changed the default for `LIBOMPTARGET_AMDGPU_TEAMS_PER_CU` from 4 to 6
  * Fixed the behavior of the `OMPX_FORCE_SYNC_REGIONS` environment variable, which is used to
  force synchronous target regions (the default is to use an asynchronous implementation)
  * Added support for and enabled default of code object version 5
  * Implemented target OMPT callbacks and trace records support in the nextgen plugin

* Specialized kernels:
  * Removes redundant copying of arrays when xteam reductions are active but not offloaded
  * Tuned the number of teams for BigJumpLoop
  * Enables specialized kernel generation with nested OpenMP pragma, as long as there is no nested
    omp-parallel directive

##### Additions

* `-fopenmp-runtimelib={lib,lib-perf,lib-debug}` to select libs
* Warning if mixed HIP / OpenMP offloading (i.e., if HIP language mode is active, but OpenMP target
  directives are encountered)
* Introduced compile-time limit for the number of GPUs supported in a system: 16 GPUs in a single
  node is currently the maximum supported

##### Changes

* Correctly compute number of waves when workgroup size is less than the wave size
* Implemented `LIBOMPTARGET_KERNEL_TRACE=3`, which prints DEVID traces and API timings
* ASAN support for openmp release, debug, and perf libraries
* Changed LDS lowering default to hybrid

##### Fixes

* Fixed RUNPATH for gdb plugin
* Fixed hang in OMPT support if flush trace is called when there are no helper threads

#### rccl 2.15.5

RCCL 2.15.5 for ROCm 6.0.0

##### Additions

* HW-topology-aware binary tree implementation
* Experimental support for MSCCL
* New unit tests for hipGraph support
* NPKit integration

##### Changes

* Compatibility with NCCL 2.15.5
* Renamed the unit test executable to `rccl-UnitTests`

##### Fixes

* rocm-smi ID conversion
* Support for `HIP_VISIBLE_DEVICES` for unit tests
* Support for p2p transfers to non (HIP) visible devices

##### Removals

* Removed TransferBench from tools as it exists in standalone repo:
  [https://github.com/ROCm/TransferBench](https://github.com/ROCm/TransferBench)

#### rocALUTION 3.0.3

rocALUTION 3.0.3 for ROCm 6.0.0

##### Additions

* Support for 64bit integer vectors
* Inclusive and exclusive sum functionality for vector classes
* Transpose functionality for `GlobalMatrix` and `LocalMatrix`
* `TripleMatrixProduct` functionality for `LocalMatrix`
* `Sort()` function for `LocalVector` class
* Multiple stream support to the HIP backend

##### Optimizations

* `GlobalMatrix::Apply()` now uses multiple streams to better hide communication

##### Changes

* Matrix dimensions and number of non-zeros are now stored using 64-bit integers
* Improved the ILUT preconditioner

##### Fixes

* Unit tests no longer ignore BCSR block dimension
* Fixed documentation typos
* Bug in multi-coloring for non-symmetric matrix patterns

##### Removals

* `LocalVector::GetIndexValues(ValueType*)`
* `LocalVector::SetIndexValues(const ValueType*)`
* `LocalMatrix::RSDirectInterpolation(const LocalVector&, const LocalVector&, LocalMatrix*, LocalMatrix*)`
* `LocalMatrix::RSExtPIInterpolation(const LocalVector&, const LocalVector&, bool, float, LocalMatrix*, LocalMatrix*)`
* `LocalMatrix::RugeStueben()`
* `LocalMatrix::AMGSmoothedAggregation(ValueType, const LocalVector&, const LocalVector&, LocalMatrix*, LocalMatrix*, int)`
* `LocalMatrix::AMGAggregation(const LocalVector&, LocalMatrix*, LocalMatrix*)`

#### rocBLAS 4.0.0

rocBLAS 4.0.0 for ROCm 6.0.0

##### Additions

* Beta API `rocblas_gemm_batched_ex3` and `rocblas_gemm_strided_batched_ex3`
* Input/output type f16_r/bf16_r and execution type f32_r support for Level 2 gemv_batched and
  gemv_strided_batched
* Use of `rocblas_status_excluded_from_build` when calling functions that require Tensile (when using
  rocBLAS built without Tensile)
* System for asynchronous kernel launches that set a `rocblas_status` failure based on a
  `hipPeekAtLastError` discrepancy

##### Optimizations

* TRSM performance for small sizes (m < 32 && n < 32)

##### Fixes

* Made offset calculations for 64-bit rocBLAS functions safe
  * Fixes for very large leading dimension or increment potentially causing overflow:
    * Level2: `gbmv`, `gemv`, `hbmv`, `sbmv`, `spmv`, `tbmv`, `tpmv`, `tbsv`, and `tpsv`
* Lazy loading supports heterogeneous architecture setup and load-appropriate tensile library files,
  based on device architecture
* Guards against no-op kernel launches that result in a potential `hipGetLastError`

##### Changes

* Reduced the default verbosity of `rocblas-test` (you can see all tests by setting the
  `GTEST_LISTENER=PASS_LINE_IN_LOG` environment variable)

##### Deprecations

* Atomic operations will be disabled by default in a future release of rocBLAS (you can enable atomic
  operations using the `rocblas_set_atomics_mode` function)

##### Removals

* `rocblas_gemm_ext2` API function
* In-place trmm API from Legacy BLAS is replaced by an API that supports both in-place and
  out-of-place trmm
* int8x4 support is removed (int8 support is unchanged)
* `#define __STDC_WANT_IEC_60559_TYPES_EXT__` is removed from `rocblas-types.h` (if you want
  ISO/IEC TS 18661-3:2015 functionality, you must define `__STDC_WANT_IEC_60559_TYPES_EXT__`
  before including `float.h`, `math.h`, and `rocblas.h`)
* The default build removes device code for gfx803 architecture from the fat binary

#### rocFFT 1.0.25

rocFFT 1.0.25 for ROCm 6.0.0

##### Additions

* Implemented experimental APIs to allow computing FFTs on data distributed across multiple devices
  in a single process

  * `rocfft_field` is a new type that can be added to a plan description to describe the layout of FFT
    input or output
  * `rocfft_field_add_brick` can be called to describe the brick decomposition of an FFT field, where each
    brick can be assigned a different device

  These interfaces are still experimental and subject to change. Your feedback is appreciated.
  You can raise questions and concerns by opening issues in the
  [rocFFT issue tracker](https://github.com/ROCm/rocFFT/issues).

  Note that multi-device FFTs currently have several limitations (we plan to address these in future
  releases):

  * Real-complex (forward or inverse) FFTs are not supported
  * Planar format fields are not supported
  * Batch (the `number_of_transforms` provided to `rocfft_plan_create`) must be 1
  * FFT input is gathered to the current device at run time, so all FFT data must fit on that device

##### Optimizations

* Improved the performance of several 2D/3D real FFTs supported by `2D_SINGLE` kernel. Offline
  tuning provides more optimization for fx90a
* Removed an extra kernel launch from even-length, real-complex FFTs that use callbacks

##### Changes

* Built kernels in a solution map to the library kernel cache
* Real forward transforms (real-to-complex) no longer overwrite input; rocFFT may still overwrite real
  inverse (complex-to-real) input, as this allows for faster performance

* `rocfft-rider` and `dyna-rocfft-rider` have been renamed to `rocfft-bench` and `dyna-rocfft-bench`;
  these are controlled by the `BUILD_CLIENTS_BENCH` CMake option
  * Links for the former file names are installed, and the former `BUILD_CLIENTS_RIDER` CMake option
    is accepted for compatibility, but both will be removed in a future release
* Binaries in debug builds no longer have a `-d` suffix

##### Fixes

* rocFFT now correctly handles load callbacks that convert data from a smaller data type (e.g., 16-bit
  integers -> 32-bit float)

#### ROCgdb 13.2

ROCgdb 13.2 for ROCm 6.0.0

##### Additions

* Support for watchpoints on scratch memory addresses.
* Added support for gfx1100, gfx1101, and gfx1102.
* Added support for gfx942.

##### Optimizations

* Improved performances when handling the end of a process with a large number of threads.

##### Known issues

* On certain configurations, ROCgdb can show the following warning message:
  `warning: Probes-based dynamic linker interface failed. Reverting to original interface.`
  This does not affect ROCgdb's functionalities.

* ROCgdb cannot debug a program on an AMDGPU device past a
  `s_sendmsg sendmsg(MSG_DEALLOC_VGPRS)` instruction. If an exception is reported after this
  instruction has been executed (including asynchronous exceptions), the wave is killed and the
  exceptions are only reported by the ROCm runtime.

#### rocm-cmake 0.11.0

rocm-cmake 0.11.0 for ROCm 6.0.0

##### Changes

* Improved validation, documentation, and rocm-docs-core integration for ROCMSphinxDoc

##### Fixes

* Fixed extra `make` flags passed for Clang-Tidy (ROCMClangTidy).
* Fixed issues with ROCMTest when using a module in a subdirectory

#### ROCm Compiler

* On MI300, kernel arguments can be preloaded into SGPRs rather than passed in memory. This
  feature is enabled with a compiler option, which also controls the number of arguments to pass in
   SGPRs.

* Improved register allocation at -O0: Avoid compiler crashes ( 'ran out of registers during register allocation' )

* Improved generation of debug information:
    * Improve compile time
    * Avoid compiler crashes

#### rocPRIM 3.0.0

rocPRIM 3.0.0 for ROCm 6.0.0

##### Additions

* `block_sort::sort()` overload for keys and values with a dynamic size, for all block sort algorithms
* All `block_sort::sort()` overloads with a dynamic size are now supported for
  `block_sort_algorithm::merge_sort` and `block_sort_algorithm::bitonic_sort`
*  New two-way partition primitive `partition_two_way`, which can write to two separate iterators

##### Optimizations

* Improved `partition` performance

##### Fixes

* Fixed `rocprim::MatchAny` for devices with 64-bit warp size
  * Note that `rocprim::MatchAny` is deprecated; use `rocprim::match_any` instead

#### Roc Profiler 2.0.0

Roc Profiler 2.0.0 for ROCm 6.0.0

##### Additions

* Updated supported GPU architectures in README with profiler versions
* Automatic ISA dumping for ATT. See README.
* CSV mode for ATT. See README.
* Added option to control kernel name truncation.
* Limit rocprof(v1) script usage to only supported architectures.
* Added Tool versioning to be able to run rocprofv2 using rocprof. See README for more information.
* Added Plugin Versioning way in rocprofv2. See README for more details.
* Added `--version` in rocprof and rocprofv2 to be able to see the current rocprof/v2 version along with ROCm version information.

#### rocRAND 2.10.17

rocRAND 2.10.17 for ROCm 6.0.0

##### Optimizations

* Improved MT19937 initialization and generation performance

##### Changes

* Generator classes from `rocrand.hpp` are no longer copyable (in previous versions these copies
  would copy internal references to the generators and would lead to double free or memory leak
  errors)
  * These types should be moved instead of copied; move constructors and operators are now
    defined

##### Fixes

* `mt19937_engine` from `rocrand.hpp` is now move-constructible and move-assignable (the move
  constructor and move assignment operator was deleted for this class)
* Various fixes for the C++ wrapper header `rocrand.hpp`
  * The name of `mrg31k3p` it is now correctly spelled (was incorrectly named `mrg31k3a` in previous
    versions)
  * Added the missing `order` setter method for `threefry4x64`
  * Fixed the default ordering parameter for `lfsr113`
* Build error when using Clang++ directly resulting from unsupported `amdgpu-target` references

##### Removals

* Removed the hipRAND submodule from rocRAND; hipRAND is now only available as a separate
  package
* Removed references to, and workarounds for, the deprecated hcc

#### rocSOLVER 3.24.0

rocSOLVER 3.24.0 for ROCm 6.0.0

##### Additions

* Cholesky refactorization for sparse matrices: `CSRRF_REFACTCHOL`
* Added `rocsolver_rfinfo_mode` and the ability to specify the desired refactorization routine (see `rocsolver_set_rfinfo_mode`)

##### Changes

* `CSRRF_ANALYSIS` and `CSRRF_SOLVE` now support sparse Cholesky factorization

#### rocSPARSE 3.0.2

rocSPARSE 3.0.2 for ROCm 6.0.0

##### Additions

* `rocsparse_inverse_permutation`
* Mixed-precisions for SpVV
* Uniform int8 precision for gather and scatter

##### Changes

* Function arguments for `rocsparse_spmv`
* Function arguments for `rocsparse_xbsrmv` routines
* When using host pointer mode, you must now call `hipStreamSynchronize` following `doti`, `dotci`,
  `spvv`, and `csr2ell`
* Improved documentation
* Improved verbose output during argument checking on API function calls

##### Fixes

* Bug in `rocsparse-bench` where the SpMV algorithm was not taken into account in CSR format
* BSR and GEBSR routines (`bsrmv`, `bsrsv`, `bsrmm`, `bsrgeam`, `gebsrmv`, `gebsrmm`) didn't always
  show `block_dim==0` as an invalid size
* Passing `nnz = 0` to `doti` or `dotci` wasn't always returning a dot product of 0

##### Removals

* Auto stages from `spmv`, `spmm`, `spgemm`, `spsv`, `spsm`, and `spitsv`
* Formerly deprecated `rocsparse_spmm_ex` routine

#### rocThrust 3.0.0

rocThrust 3.0.0 for ROCm 6.0.0

##### Additions

* Updated to match upstream Thrust 2.0.1
* `NV_IF_TARGET` macro from libcu++ for NVIDIA backend and HIP implementation for HIP backend

##### Changes

* The CMake build system now accepts `GPU_TARGETS` in addition to `AMDGPU_TARGETS` for
  setting targeted GPU architectures
  * `GPU_TARGETS=all` compiles for all supported architectures
  * `AMDGPU_TARGETS` is only provided for backwards compatibility (`GPU_TARGETS` is preferred)
* Removed CUB symlink from the root of the repository
* Removed support for deprecated macros (`THRUST_DEVICE_BACKEND` and
  `THRUST_HOST_BACKEND`)

##### Known issues

* The `THRUST_HAS_CUDART` macro, which is no longer used in Thrust (it's provided only for legacy
  support) is replaced with `NV_IF_TARGET` and `THRUST_RDC_ENABLED` in the NVIDIA backend. The
  HIP backend doesn't have a `THRUST_RDC_ENABLED` macro, so some branches in Thrust code may
  be unreachable in the HIP backend.

#### rocWMMA 1.3.0

rocWMMA 1.3.0 for ROCm 6.0.0

##### Additions

* Support for gfx942
* Support for f8, bf8, and xfloat32 data types
* support for `HIP_NO_HALF`, `__ HIP_NO_HALF_CONVERSIONS__`, and
    `__ HIP_NO_HALF_OPERATORS__` (e.g., PyTorch environment)

##### Changes

* rocWMMA with hipRTC now supports `bfloat16_t` data type
* gfx11 WMMA now uses lane swap instead of broadcast for layout adjustment
* Updated samples GEMM parameter validation on host arch

##### Fixes

* Disabled GoogleTest static library deployment
* Extended tests now build in large code model

#### Tensile 4.39.0

Tensile 4.39.0 for ROCm 6.0.0

##### Additions

* Added `aquavanjaram` support: gfx942, fp8/bf8 datatype, xf32 datatype, and
  stochastic rounding for various datatypes
* Added and updated tuning scripts
* Added `DirectToLds` support for larger data types with 32-bit global load (old parameter `DirectToLds`
  is replaced with `DirectToLdsA` and `DirectToLdsB`), and the corresponding test cases
* Added the average of frequency, power consumption, and temperature information for the winner
  kernels to the CSV file
* Added asmcap check for MFMA + const src
* Added support for wider local read + pack with v_perm (with `VgprForLocalReadPacking=True`)
* Added a new parameter to increase `miLatencyLeft`

##### Optimizations

* Enabled `InitAccVgprOpt` for `MatrixInstruction` cases
* Implemented local read related parameter calculations with `DirectToVgpr`
* Enabled dedicated vgpr allocation for local read + pack
* Optimized code initialization
* Optimized sgpr allocation
* Supported DGEMM TLUB + RLVW=2 for odd N (edge shift change)
* Enabled `miLatency` optimization for specific data types, and fixed
  instruction scheduling

##### Changes

* Removed old code for DTL + (bpe * GlobalReadVectorWidth &gt; 4)
* Changed/updated failed CI tests for gfx11xx, InitAccVgprOpt, and DTLds
* Removed unused `CustomKernels` and `ReplacementKernels`
* Added a reject condition for DTVB + TransposeLDS=False (not supported so far)
* Removed unused code for DirectToLds
* Updated test cases for DTV + TransposeLDS=False
* Moved the `MinKForGSU` parameter from `globalparameter` to `BenchmarkCommonParameter` to
  support smaller K
* Changed how to calculate `latencyForLR` for miLatency
* Set minimum value of `latencyForLRCount` for 1LDSBuffer to avoid getting rejected by
  overflowedResources=5 (related to miLatency)
* Refactored allowLRVWBforTLUandMI and renamed it as VectorWidthB
* Supported multi-gpu for different architectures in lazy library loading
* Enabled dtree library for batch &gt; 1
* Added problem scale feature for dtree selection
* Modified non-lazy load build to skip experimental logic

##### Fixes

* Predicate ordering for fp16alt impl round near zero mode to unbreak distance modes
* Boundary check for mirror dims and re-enable disabled mirror dims test cases
* Merge error affecting i8 with WMMA
* Mismatch issue with DTLds + TSGR + TailLoop
* Bug with `InitAccVgprOpt` + GSU&gt;1 and a mismatch issue with PGR=0
* Override for unloaded solutions when lazy loading
* Adding missing headers
* Boost link for a clean build on Ubuntu 22
* Bug in `forcestoresc1` arch selection
* Compiler directive for gfx942
* Formatting for `DecisionTree_test.cpp`

### Library changes in ROCm 6.0.0

| Library | Version |
|---------|---------|
| AMDMIGraphX | 2.7 ⇒ [2.8](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-6.0.0) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-6.0.0) |
| hipBLAS | 1.1.0 ⇒ [2.0.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-6.0.0) |
| hipCUB | 2.13.1 ⇒ [3.0.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-6.0.0) |
| hipFFT | 1.0.12 ⇒ [1.0.13](https://github.com/ROCm/hipFFT/releases/tag/rocm-6.0.0) |
| hipRAND | 2.10.16 ⇒ [2.10.17](https://github.com/ROCm/hipRAND/releases/tag/rocm-6.0.0) |
| hipSOLVER | 1.8.2 ⇒ [2.0.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-6.0.0) |
| hipSPARSE | 2.3.8 ⇒ [3.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-6.0.0) |
| hipTensor | [1.1.0](https://github.com/ROCm/hipTensor/releases/tag/rocm-6.0.0) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-6.0.0) |
| MIVisionX | [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-6.0.0) |
| rccl | [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-6.0.0) |
| rocALUTION | 2.1.11 ⇒ [3.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-6.0.0) |
| rocBLAS | 3.1.0 ⇒ [4.0.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-6.0.0) |
| rocFFT | 1.0.24 ⇒ [1.0.25](https://github.com/ROCm/rocFFT/releases/tag/rocm-6.0.0) |
| rocm-cmake | 0.10.0 ⇒ [0.11.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-6.0.0) |
| rocPRIM | 2.13.1 ⇒ [3.0.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-6.0.0) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-6.0.0) |
| rocSOLVER | 3.23.0 ⇒ [3.24.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-6.0.0) |
| rocSPARSE | 2.5.4 ⇒ [3.0.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-6.0.0) |
| rocThrust | 2.18.0 ⇒ [3.0.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-6.0.0) |
| rocWMMA | 1.2.0 ⇒ [1.3.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-6.0.0) |
| rpp | 1.2.0 ⇒ [1.4.0](https://github.com/ROCm/rpp/releases/tag/rocm-6.0.0) |
| Tensile | 4.38.0 ⇒ [4.39.0](https://github.com/ROCm/Tensile/releases/tag/rocm-6.0.0) |

#### AMDMIGraphX 2.8

MIGraphX 2.8 for ROCm 6.0.0

##### Additions

* Support for MI300 GPUs
* Support for TorchMIGraphX via PyTorch
* Boosted overall performance by integrating rocMLIR
* INT8 support for ONNX Runtime
* Support for ONNX version 1.14.1
* Added new operators: `Qlinearadd`, `QlinearGlobalAveragePool`, `Qlinearconv`, `Shrink`, `CastLike`,
  and `RandomUniform`
* Added an error message for when `gpu_targets` is not set during MIGraphX compilation
* Added parameter to set tolerances with `migraphx-driver` verify
* Added support for MXR files &gt; 4 GB
* Added `MIGRAPHX_TRACE_MLIR` flag
* BETA added capability for using ROCm Composable Kernels via the `MIGRAPHX_ENABLE_CK=1`
  environment variable

##### Optimizations

* Improved performance support for INT8
* Improved time precision while benchmarking candidate kernels from CK or MLIR
* Removed contiguous from reshape parsing
* Updated the `ConstantOfShape` operator to support Dynamic Batch
* Simplified dynamic shapes-related operators to their static versions, where possible
* Improved debugging tools for accuracy issues
* Included a print warning about `miopen_fusion` while generating `mxr`
* General reduction in system memory usage during model compilation
* Created additional fusion opportunities during model compilation
* Improved debugging for matchers
* Improved general debug messages

##### Fixes

* Fixed scatter operator for nonstandard shapes with some models from ONNX Model Zoo
* Provided a compile option to improve the accuracy of some models by disabling Fast-Math
* Improved layernorm + pointwise fusion matching to ignore argument order
* Fixed accuracy issue with `ROIAlign` operator
* Fixed computation logic for the `Trilu` operator
* Fixed support for the DETR model

##### Changes

* Changed MIGraphX version to 2.8
* Extracted the test packages into a separate deb file when building MIGraphX from source

##### Removals

* Removed building Python 2.7 bindings

#### hipBLAS 2.0.0

hipBLAS 2.0.0 for ROCm 6.0.0

##### Additions

- added option to define HIPBLAS_USE_HIP_BFLOAT16 to switch API to use hip_bfloat16 type
- added hipblasGemmExWithFlags API

##### Deprecatations

- hipblasDatatype_t is deprecated and will be removed in a future release and replaced with hipDataType
- hipblasComplex and hipblasDoubleComplex are deprecated and will be removed in a future release and replaced with hipComplex and hipDoubleComplex
- use of hipblasDatatype_t for hipblasGemmEx for compute-type is deprecated and will be replaced with hipblasComputeType_t in a future release

##### Removals

- hipblasXtrmm that calculates B &lt;- alpha * op(A) * B is removed and replaced with hipblasXtrmm that calculates C &lt;- alpha * op(A) * B

#### hipCUB 3.0.0

hipCUB 3.0.0 for ROCm 6.0.0

##### Changes

- Removed `DOWNLOAD_ROCPRIM`, forcing rocPRIM to download can be done with `DEPENDENCIES_FORCE_DOWNLOAD`.

#### hipFFT 1.0.13

hipFFT 1.0.13 for ROCm 6.0.0

##### Additions

- Implemented hipfftXtSetGPUs, hipfftXtMalloc, hipfftXtMemcpy, hipfftXtFree, hipfftXtExecDescriptor APIs to allow computing FFTs on multiple devices in a single process.

##### Changes

- hipfft-rider has been renamed to hipfft-bench, controlled by the BUILD_CLIENTS_BENCH CMake option.  A link for the
  old file name is installed, and the old BUILD_CLIENTS_RIDER CMake option is accepted for compatibility but both
  will be removed in a future release.
- Binaries in debug builds no longer have a &#34;-d&#34; suffix.
- The minimum rocFFT required version has been updated to 1.0.21.

#### hipRAND 2.10.17

hipRAND 2.10.17 for ROCm 6.0.0

##### Fixes

- Fixed benchmark and unit test builds on Windows.

#### hipSOLVER 2.0.0

hipSOLVER 2.0.0 for ROCm 6.0.0

##### Additions

- Added hipBLAS as an optional dependency to hipsolver-test. Use the `BUILD_HIPBLAS_TESTS` CMake option to test compatibility between hipSOLVER and hipBLAS.

##### Changes

- Types hipsolverOperation_t, hipsolverFillMode_t, and hipsolverSideMode_t are now aliases of hipblasOperation_t, hipblasFillMode_t, and hipblasSideMode_t.

##### Fixes

- Fixed tests for hipsolver info updates in ORGBR/UNGBR, ORGQR/UNGQR,
  ORGTR/UNGTR, ORMQR/UNMQR, and ORMTR/UNMTR.

#### hipSPARSE 3.0.0

hipSPARSE 3.0.0 for ROCm 6.0.0

##### Additions

- Added hipsparseGetErrorName and hipsparseGetErrorString

##### Changes

- Changed hipsparseSpSV_solve() API function to match cusparse API
- Changed generic API functions to use const descriptors
- Documentation improved

#### hipTensor 1.1.0

hipTensor 1.1.0 for ROCm 6.0.0

##### Additions

* Architecture support for gfx940, gfx941, and gfx942
* Client tests configuration parameters now support YAML file input format

##### Changes

* Doxygen now treats warnings as errors

##### Fixes

* Client tests output redirections now behave accordingly
* Removed dependency static library deployment
* Security issues for documentation
* Compile issues in debug mode
* Corrected soft link for ROCm deployment

#### rocALUTION 3.0.3

rocALUTION 3.0.3 for ROCm 6.0.0

##### Additions

- Added support for 64bit integer vectors
- Added inclusive and exclusive sum functionality for Vector classes
- Added Transpose functionality for Global/LocalMatrix
- Added TripleMatrixProduct functionality LocalMatrix
- Added Sort() function for LocalVector class
- Added multiple stream support to the HIP backend

##### Optimizations

- GlobalMatrix::Apply() now uses multiple streams to better hide communication

##### Changes

- Matrix dimensions and number of non-zeros are now stored using 64bit integers
- Improved ILUT preconditioner

##### Fixes

- Unit tests do not ignore BCSR block dimension anymore
- Fixed typos in the documentation
- Fixed a bug in multicoloring for non-symmetric matrix patterns

##### Removals

- Removed LocalVector::GetIndexValues(ValueType\*)
- Removed LocalVector::SetIndexValues(const ValueType\*)
- Removed LocalMatrix::RSDirectInterpolation(const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*)
- Removed LocalMatrix::RSExtPIInterpolation(const LocalVector&amp;, const LocalVector&amp;, bool, float, LocalMatrix\*, LocalMatrix\*)
- Removed LocalMatrix::RugeStueben()
- Removed LocalMatrix::AMGSmoothedAggregation(ValueType, const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*, int)
- Removed LocalMatrix::AMGAggregation(const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*)

#### rocBLAS 4.0.0

rocBLAS 4.0.0 for ROCm 6.0.0

##### Additions

- Addition of beta API rocblas_gemm_batched_ex3 and rocblas_gemm_strided_batched_ex3
- Added input/output type f16_r/bf16_r and execution type f32_r support for Level 2 gemv_batched and gemv_strided_batched
- Added rocblas_status_excluded_from_build to be used when calling functions which require Tensile when using rocBLAS built without Tensile
- Added system for async kernel launches setting a failure rocblas_status based on hipPeekAtLastError discrepancy

##### Optimizations

- Trsm performance for small sizes m &lt; 32 &amp;&amp; n &lt; 32

##### Fixes

- Make offset calculations for rocBLAS functions 64 bit safe. Fixes for very large leading dimension or increment potentially causing overflow:
  - Level2: gbmv, gemv, hbmv, sbmv, spmv, tbmv, tpmv, tbsv, tpsv
- Lazy loading to support heterogeneous architecture setup and load appropriate tensile library files based on the device&#39;s architecture
- Guard against no-op kernel launches resulting in potential hipGetLastError

##### Changes

- Default verbosity of rocblas-test reduced. To see all tests set environment variable GTEST_LISTENER=PASS_LINE_IN_LOG

##### Deprecatations

- In a future release atomic operations will be disabled by default so results will be repeatable. Atomic operations can always be enabled or disabled using the function rocblas_set_atomics_mode. Enabling atomic operations can improve performance.

##### Removals

- rocblas_gemm_ext2 API function is removed
- in-place trmm API from Legacy BLAS is removed. It is replaced by an API that supports both in-place and out-of-place trmm
- int8x4 support is removed. int8 support is unchanged
- The #define STDC_WANT_IEC_60559_TYPES_EXT has been removed from rocblas-types.h. Users who want ISO/IEC TS 18661-3:2015 functionality must define STDC_WANT_IEC_60559_TYPES_EXT before including float.h, math.h, and rocblas.h
- The default build removes device code for gfx803 architecture from the fat binary

#### rocFFT 1.0.25

rocFFT 1.0.25 for ROCm 6.0.0

##### Additions

- Implemented experimental APIs to allow computing FFTs on data distributed across multiple devices in a single process.

  `rocfft_field` is a new type that can be added to a plan description, to describe layout of FFT input or output.  `rocfft_field_add_brick` can be called one or more times to describe a brick decomposition of an FFT field, where each brick can be assigned a different device.

  These interfaces are still experimental and subject to change.  We are interested to hear feedback on them.  Questions and concerns may be raised by opening issues on the [rocFFT issue tracker](https://github.com/ROCmSoftwarePlatform/rocFFT/issues).

  Note that at this time, multi-device FFTs have several limitations:

  * Real-complex (forward or inverse) FFTs are not currently supported.
  * Planar format fields are not currently supported.
  * Batch (i.e. `number_of_transforms` provided to `rocfft_plan_create`) must be 1.
  * The FFT input is gathered to the current device at execute time, so all of the FFT data must fit on that device.

  We expect these limitations to be removed in future releases.

##### Optimizations

- Improved performance of some small 2D/3D real FFTs supported by 2D_SINGLE kernel. gfx90a gets more optimization
  by offline tuning.
- Removed an extra kernel launch from even-length real-complex FFTs that use callbacks.

##### Changes

- Built kernels in solution-map to library kernel cache.
- Real forward transforms (real-to-complex) no longer overwrite input.  rocFFT still may overwrite real inverse (complex-to-real) input, as this allows for faster performance.

- rocfft-rider and dyna-rocfft-rider have been renamed to rocfft-bench and dyna-rocfft-bench, controlled by the
  BUILD_CLIENTS_BENCH CMake option.  Links for the old file names are installed, and the old
  BUILD_CLIENTS_RIDER CMake option is accepted for compatibility but both will be removed in a future release.
- Binaries in debug builds no longer have a &#34;-d&#34; suffix.

##### Fixes

- rocFFT now correctly handles load callbacks that convert data from a smaller data type (e.g. 16-bit integers -&gt; 32-bit float).

#### rocm-cmake 0.11.0

rocm-cmake 0.11.0 for ROCm 6.0.0

##### Changes

- ROCMSphinxDoc: Improved validation, documentation and rocm-docs-core integration.

##### Fixes

- ROCMClangTidy: Fixed extra make flags passed for clang tidy.
- ROCMTest: Fixed issues when using module in a subdirectory.

#### rocPRIM 3.0.0

rocPRIM 3.0.0 for ROCm 6.0.0

##### Additions

- `block_sort::sort()` overload for keys and values with a dynamic size, for all block sort algorithms. Additionally, all `block_sort::sort()` overloads with a dynamic size are now supported for `block_sort_algorithm::merge_sort` and `block_sort_algorithm::bitonic_sort`.
- New two-way partition primitive `partition_two_way` which can write to two separate iterators.

##### Optimizations

- Improved the performance of `partition`.

##### Fixes

- Fixed `rocprim::MatchAny` for devices with 64-bit warp size. The function `rocprim::MatchAny` is deprecated and `rocprim::match_any` is preferred instead.

#### rocSOLVER 3.24.0

rocSOLVER 3.24.0 for ROCm 6.0.0

##### Additions

- Cholesky refactorization for sparse matrices
    - CSRRF_REFACTCHOL
- Added `rocsolver_rfinfo_mode` and the ability to specify the desired refactorization routine (see `rocsolver_set_rfinfo_mode`).

##### Changes

- CSRRF_ANALYSIS and CSRRF_SOLVE now support sparse Cholesky factorization

#### rocSPARSE 3.0.2

rocSPARSE 3.0.2 for ROCm 6.0.0

##### Additions

- Added rocsparse_inverse_permutation
- Added mixed precisions for SpVV
- Added uniform int8 precision for Gather and Scatter

##### Optimizations

- Optimization to doti routine
- Optimization to spin-looping algorithms

##### Changes

- Changed rocsparse_spmv function arguments
- Changed rocsparse_xbsrmv routines function arguments
- doti, dotci, spvv, and csr2ell now require calling hipStreamSynchronize after when using host pointer mode
- Improved documentation
- Improved verbose output during argument checking on API function calls

##### Fixes

- Fixed a bug in rocsparse-bench, where SpMV algorithm was not taken into account in CSR format
- Fixed the BSR/GEBSR routines bsrmv, bsrsv, bsrmm, bsrgeam, gebsrmv, gebsrmm so that block_dim==0 is considered an invalid size
- Fixed bug where passing nnz = 0 to doti or dotci did not always return a dot product of 0

##### Deprecatations

- Deprecated rocsparse_spmv_ex
- Deprecated rocsparse_xbsrmv_ex routines

##### Removals

- Removed auto stages from spmv, spmm, spgemm, spsv, spsm, and spitsv.
- Removed rocsparse_spmm_ex routine

#### rocThrust 3.0.0

rocThrust 3.0.0 for ROCm 6.0.0

##### Additions

- Updated to match upstream Thrust 2.0.1
- NV_IF_TARGET macro from libcu++ for NVIDIA backend and HIP implementation for HIP backend.

##### Changes

- The cmake build system now additionally accepts `GPU_TARGETS` in addition to `AMDGPU_TARGETS` for
  setting the targeted gpu architectures. `GPU_TARGETS=all` will compile for all supported architectures.
  `AMDGPU_TARGETS` is only provided for backwards compatibility, `GPU_TARGETS` should be preferred.

##### Fixes

- Fixed a segmentation fault when binary search / upper bound / lower bound / equal range was invoked with `hip_rocprim::execute_on_stream_base` policy.

##### Removals

- Removed cub symlink from the root of the repository.
- Removed support for deprecated macros (THRUST_DEVICE_BACKEND and THRUST_HOST_BACKEND).

##### Known issues

- For NVIDIA backend, `NV_IF_TARGET` and `THRUST_RDC_ENABLED` intend to substitute the `THRUST_HAS_CUDART` macro, which is now no longer used in Thrust (provided for legacy support only). However, there is no `THRUST_RDC_ENABLED` macro available for the HIP backend, so some branches in Thrust&#39;s code may be unreachable in the HIP backend.

#### rocWMMA 1.3.0

rocWMMA 1.3.0 for ROCm 6.0.0

##### Additions

- Added support for gfx940, gfx941 and gfx942 targets
- Added support for f8, bf8 and xfloat32 datatypes
- Added support for HIP_NO_HALF, __ HIP_NO_HALF_CONVERSIONS__ and __ HIP_NO_HALF_OPERATORS__ (e.g. pytorch environment)

##### Changes

- rocWMMA with hipRTC now supports bfloat16_t datatype
- gfx11 wmma now uses lane swap instead of broadcast for layout adjustment
- Updated samples GEMM parameter validation on host arch

##### Fixes

- Disabled gtest static library deployment
- Extended tests now build in large code model

#### rpp 1.4.0

rpp for ROCm 6.0.0

##### Additions

* New Tests

##### Optimizations

* Readme Updates

##### Changes

* **Backend** - Default Backend set to `HIP`

##### Fixes

* Minor bugs and warnings

###### Tested Configurations

* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `8`
* ROCm: rocm-core - `5.0.0.50000-49`
* Clang - Version `6.0`
* CMake - Version `3.22.3`
* Boost - Version `1.72`
* IEEE 754-based half-precision floating-point library - Version `1.12.0`

#### Tensile 4.39.0

Tensile 4.39.0 for ROCm 6.0.0

##### Additions

- Added aquavanjaram support: gfx940/gfx941/gfx942, fp8/bf8 datatype, xf32 datatype, and stochastic rounding for various datatypes
- Added/updated tuning scripts
- Added DirectToLds support for larger data types with 32bit global load (old parameter DirectToLds is replaced with DirectToLdsA and DirectToLdsB), and the corresponding test cases
- Added the average of frequency, power consumption, and temperature information for the winner kernels to the CSV file
- Added asmcap check for MFMA + const src
- Added support for wider local read + pack with v_perm (with VgprForLocalReadPacking=True)
- Added a new parameter to increase miLatencyLeft

##### Optimizations

- Enabled InitAccVgprOpt for MatrixInstruction cases
- Implemented local read related parameter calculations with DirectToVgpr
- Adjusted miIssueLatency for gfx940
- Enabled dedicated vgpr allocation for local read + pack
- Optimized code initialization
- Optimized sgpr allocation
- Supported DGEMM TLUB + RLVW=2 for odd N (edge shift change)
- Enabled miLatency optimization for (gfx940/gfx941 + MFMA) for specific data types, and fixed instruction scheduling

##### Changes

- Removed old code for DTL + (bpe * GlobalReadVectorWidth &gt; 4)
- Changed/updated failed CI tests for gfx11xx, InitAccVgprOpt, and DTLds
- Removed unused CustomKernels and ReplacementKernels
- Added a reject condition for DTVB + TransposeLDS=False (not supported so far)
- Removed unused code for DirectToLds
- Updated test cases for DTV + TransposeLDS=False
- Moved parameter MinKForGSU from globalparameter to BenchmarkCommonParameter to support smaller K
- Changed how to calculate latencyForLR for miLatency
- Set minimum value of latencyForLRCount for 1LDSBuffer to avoid getting rejected by overflowedResources=5 (related to miLatency)
- Refactored allowLRVWBforTLUandMI and renamed it as VectorWidthB
- Supported multi-gpu for different architectures in lazy library loading
- Enabled dtree library for batch &gt; 1
- Added problem scale feature for dtree selection
- Enabled ROCm SMI for gfx940/941.
- Modified non-lazy load build to skip experimental logic

##### Fixes

- Fixed predicate ordering for fp16alt impl round near zero mode to unbreak distance modes
- Fixed boundary check for mirror dims and re-enable disabled mirror dims test cases
- Fixed merge error affecting i8 with wmma
- Fixed mismatch issue with DTLds + TSGR + TailLoop
- Fixed a bug with InitAccVgprOpt + GSU&gt;1 and a mismatch issue with PGR=0
- Fixed override for unloaded solutions when lazy loading
- Fixed build some errors (adding missing headers)
- Fixed boost link for a clean build on ubuntu22
- Fixed bug in forcestoresc1 arch selection
- Fixed compiler directive for gfx941 and gfx942
- Fixed formatting for DecisionTree_test.cpp

-------------------

## ROCm 5.7.1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->

### What's new in this release

ROCm 5.7.1 is a point release with several bug fixes in the HIP runtime.

#### Installing all GPU AddressSanitizer packages with a single command

ROCm 5.7.1 simplifies the installation steps for the optional AddressSanitizer (ASan) packages. This
release provides the meta package *rocm-ml-sdk-asan* for ease of ASan installation. The following
command can be used to install all ASan packages rather than installing each package separately,

        sudo apt-get install rocm-ml-sdk-asan

For more detailed information about using the GPU AddressSanitizer, refer to the
[user guide](https://rocm.docs.amd.com/en/docs-5.7.1/understand/using_gpu_sanitizer.html)

### ROCm libraries

#### rocBLAS
A new functionality rocblas-gemm-tune and an environment variable
ROCBLAS_TENSILE_GEMM_OVERRIDE_PATH are added to rocBLAS in the ROCm 5.7.1 release.

`rocblas-gemm-tune` is used to find the best-performing GEMM kernel for each GEMM problem set. It
has a command line interface, which mimics the --yaml input used by rocblas-bench. To generate the
expected --yaml input, profile logging can be used, by setting the environment variable
ROCBLAS_LAYER4.

For more information on rocBLAS logging, see Logging in rocBLAS, in the
[API Reference Guide](https://rocm.docs.amd.com/projects/rocBLAS/en/docs-5.7.1/API_Reference_Guide.html#logging-in-rocblas).

An example input file: Expected output (note selected GEMM idx may differ): Where the far right values
(solution_index) are the indices of the best-performing kernels for those GEMMs in the rocBLAS kernel
library. These indices can be directly used in future GEMM calls. See
` rocBLAS/samples/example_user_driven_tuning.cpp` for sample code of directly using kernels via their
indices.

If the output is stored in a file, the results can be used to override default kernel selection with the
kernels found by setting the environment variable ROCBLAS_TENSILE_GEMM_OVERRIDE_PATH, which
points to the stored file.

For more details, refer to the
[rocBLAS Programmer's Guide](https://rocm.docs.amd.com/projects/rocBLAS/en/docs-5.7.1/Programmers_Guide.html).

#### HIP 5.7.1 (for ROCm 5.7.1)

ROCm 5.7.1 is a point release with several bug fixes in the HIP runtime.

### Defect fixes

The `hipPointerGetAttributes` API returns the correct HIP memory type as `hipMemoryTypeManaged`
for managed memory.

### Library changes in ROCm 5.7.1

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.7](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.7.1) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-5.7.1) |
| hipBLAS | [1.1.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.7.1) |
| hipCUB | [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.7.1) |
| hipFFT | [1.0.12](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.7.1) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.7.1) |
| hipSOLVER | 1.8.1 ⇒ [1.8.2](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.7.1) |
| hipSPARSE | [2.3.8](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.7.1) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.7.1) |
| MIVisionX | [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.7.1) |
| rocALUTION | [2.1.11](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.7.1) |
| rocBLAS | [3.1.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.7.1) |
| rocFFT | [1.0.24](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.7.1) |
| rocm-cmake | [0.10.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.7.1) |
| rocPRIM | [2.13.1](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.7.1) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.7.1) |
| rocSOLVER | [3.23.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.7.1) |
| rocSPARSE | [2.5.4](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.7.1) |
| rocThrust | [2.18.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.7.1) |
| rocWMMA | [1.2.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.7.1) |
| rpp | [1.2.0](https://github.com/ROCm/rpp/releases/tag/rocm-5.7.1) |
| Tensile | [4.38.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.7.1) |

#### hipSOLVER 1.8.2

hipSOLVER 1.8.2 for ROCm 5.7.1

##### Fixed

- Fixed conflicts between the hipsolver-dev and -asan packages by excluding
  hipsolver_module.f90 from the latter

-------------------

## ROCm 5.7.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->

### Release highlights for ROCm 5.7

New features include:

* A new library (hipTensor)
* Optimizations for rocRAND and MIVisionX
* AddressSanitizer for host and device code (GPU) is now available as a beta

Note that ROCm 5.7.0 is EOS for MI50. 5.7 versions of ROCm are the last major releases in the ROCm 5
series. This release is Linux-only.

:::{important}
The next major ROCm release (ROCm 6.0) will not be backward compatible with the ROCm 5 series.
Changes will include: splitting LLVM packages into more manageable sizes, changes to the HIP runtime
API, splitting rocRAND and hipRAND into separate packages, and reorganizing our file structure.
:::

#### AMD Instinct™ MI50 end-of-support notice

AMD Instinct MI50, Radeon Pro VII, and Radeon VII products (collectively gfx906 GPUs) will enter
maintenance mode starting Q3 2023.

As outlined in [5.6.0](https://rocm.docs.amd.com/en/docs-5.6.0/release.html), ROCm 5.7 will be the
final release for gfx906 GPUs to be in a fully supported state.

* ROCm 6.0 release will show MI50s as "under maintenance" for
  {doc}`Linux<rocm-install-on-linux:reference/system-requirements>` and
  {doc}`Windows<rocm-install-on-windows:reference/system-requirements>`

* No new features and performance optimizations will be supported for the gfx906 GPUs beyond this
  major release (ROCm 5.7).

* Bug fixes and critical security patches will continue to be supported for the gfx906 GPUs until Q2
  2024 (end of maintenance \[EOM] will be aligned with the closest ROCm release).

* Bug fixes during the maintenance will be made to the next ROCm point release.

* Bug fixes will not be backported to older ROCm releases for gfx906.

* Distribution and operating system updates will continue per the ROCm release cadence for gfx906
  GPUs until EOM.

#### Feature updates

##### Non-hostcall HIP printf

**Current behavior**

The current version of HIP printf relies on hostcalls, which, in turn, rely on PCIe atomics. However, PCle
atomics are unavailable in some environments, and, as a result, HIP-printf does not work in those
environments. Users may see the following error from runtime (with AMD_LOG_LEVEL 1 and above):

```shell
    Pcie atomics not enabled, hostcall not supported
```

**Workaround**

The ROCm 5.7 release introduces an alternative to the current hostcall-based implementation that
leverages an older OpenCL-based printf scheme, which does not rely on hostcalls/PCIe atomics.

:::{note}
This option is less robust than hostcall-based implementation and is intended to be a
workaround when hostcalls do not work.
:::

The printf variant is now controlled via a new compiler option -mprintf-kind=<value>. This is
supported only for HIP programs and takes the following values,

* “hostcall” – This currently available implementation relies on hostcalls, which require the system to
  support PCIe atomics. It is the default scheme.

* “buffered” – This implementation leverages the older printf scheme used by OpenCL; it relies on a
  memory buffer where printf arguments are stored during the kernel execution, and then the runtime
  handles the actual printing once the kernel finishes execution.

**NOTE**: With the new workaround:

* The printf buffer is fixed size and non-circular.  After the buffer is filled, calls to printf will not result in
  additional output.

* The printf call returns either 0 (on success) or -1 (on failure, due to full buffer), unlike the hostcall
  scheme that returns the number of characters printed.

##### Beta release of LLVM AddressSanitizer (ASan) with the GPU

The ROCm 5.7 release introduces the beta release of LLVM AddressSanitizer (ASan) with the GPU. The
LLVM ASan provides a process that allows developers to detect runtime addressing errors in
applications and libraries. The detection is achieved using a combination of compiler-added
instrumentation and runtime techniques, including function interception and replacement.

Until now, the LLVM ASan process was only available for traditional purely CPU applications. However,
ROCm has extended this mechanism to additionally allow the detection of some addressing errors on
the GPU in heterogeneous applications. Ideally, developers should treat heterogeneous HIP and
OpenMP applications like pure CPU applications. However, this simplicity has not been achieved yet.

Refer to the documentation on LLVM ASan with the GPU at
[LLVM AddressSanitizer User Guide](../conceptual/using-gpu-sanitizer.md).

:::{note}
The beta release of LLVM ASan for ROCm is currently tested and validated on Ubuntu 20.04.
:::

#### Defect fixes

The following defects are fixed in ROCm v5.7:

* Test hangs observed in HMM RCCL

* NoGpuTst test of Catch2 fails with Docker

* Failures observed with non-HMM HIP directed catch2 tests with XNACK+

* Multiple test failures and test hangs observed in hip-directed catch2 tests with xnack+

#### HIP 5.7.0

##### Optimizations

##### Additions

* Added `meta_group_size`/`rank` for getting the number of tiles and rank of a tile in the partition

* Added new APIs supporting Windows only, under development on Linux

    * `hipMallocMipmappedArray` for allocating a mipmapped array on the device

    * `hipFreeMipmappedArray` for freeing a mipmapped array on the device

    * `hipGetMipmappedArrayLevel` for getting a mipmap level of a HIP mipmapped array

    * `hipMipmappedArrayCreate` for creating a mipmapped array

    * `hipMipmappedArrayDestroy` for destroy a mipmapped array

    * `hipMipmappedArrayGetLevel` for getting a mipmapped array on a mipmapped level

##### Changes

##### Fixes

##### Known issues

* HIP memory type enum values currently don't support equivalent value to
  `cudaMemoryTypeUnregistered`, due to HIP functionality backward compatibility.
* HIP API `hipPointerGetAttributes` could return invalid value in case the input memory pointer was not
  allocated through any HIP API on device or host.

##### Upcoming changes for HIP in ROCm 6.0 release

* Removal of `gcnarch` from hipDeviceProp_t structure

* Addition of new fields in hipDeviceProp_t structure

    * maxTexture1D

    * maxTexture2D

    * maxTexture1DLayered

    * maxTexture2DLayered

    * sharedMemPerMultiprocessor

    * deviceOverlap

    * asyncEngineCount

    * surfaceAlignment

    * unifiedAddressing

    * computePreemptionSupported

    * hostRegisterSupported

    * uuid

* Removal of deprecated code -hip-hcc codes from hip code tree

* Correct hipArray usage in HIP APIs such as `hipMemcpyAtoH` and `hipMemcpyHtoA`

* HIPMEMCPY_3D fields correction to avoid truncation of "size_t" to "unsigned int" inside
  `hipMemcpy3D()`

* Renaming of 'memoryType' in `hipPointerAttribute_t` structure to 'type'

* Correct `hipGetLastError` to return the last error instead of last API call's return code

* Update `hipExternalSemaphoreHandleDesc` to add "unsigned int reserved[16]"

* Correct handling of flag values in `hipIpcOpenMemHandle` for `hipIpcMemLazyEnablePeerAccess`

* Remove `hiparray*` and make it opaque with `hipArray_t`

### Library changes in ROCm 5.7.0

| Library | Version |
|---------|---------|
| AMDMIGraphX | 2.5 ⇒ [2.7](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.7.0) |
| composable_kernel | [0.2.0](https://github.com/ROCm/composable_kernel/releases/tag/rocm-5.7.0) |
| hipBLAS | 0.54.0 ⇒ [1.1.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.7.0) |
| hipCUB | [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.7.0) |
| hipFFT | [1.0.12](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.7.0) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.7.0) |
| hipSOLVER | 1.8.0 ⇒ [1.8.1](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.7.0) |
| hipSPARSE | 2.3.7 ⇒ [2.3.8](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.7.0) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.7.0) |
| MIVisionX | 2.4.0 ⇒ [2.5.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.7.0) |
| rocALUTION | 2.1.9 ⇒ [2.1.11](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.7.0) |
| rocBLAS | 3.0.0 ⇒ [3.1.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.7.0) |
| rocFFT | 1.0.23 ⇒ [1.0.24](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.7.0) |
| rocm-cmake | 0.9.0 ⇒ [0.10.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.7.0) |
| rocPRIM | 2.13.0 ⇒ [2.13.1](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.7.0) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.7.0) |
| rocSOLVER | 3.22.0 ⇒ [3.23.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.7.0) |
| rocSPARSE | 2.5.2 ⇒ [2.5.4](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.7.0) |
| rocThrust | [2.18.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.7.0) |
| rocWMMA | 1.1.0 ⇒ [1.2.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.7.0) |
| rpp | [1.2.0](https://github.com/ROCm/rpp/releases/tag/rocm-5.7.0) |
| Tensile | 4.37.0 ⇒ [4.38.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.7.0) |

#### AMDMIGraphX 2.7

MIGraphX 2.7 for ROCm 5.7.0

##### Added

- Enabled hipRTC to not require dev packages for migraphx runtime and allow the ROCm install to be in a different directory than it was during build time
- Add support for multi-target execution
- Added Dynamic Batch support with C++/Python APIs
- Add migraphx.create_argument to python API
- Added dockerfile example for Ubuntu 22.04
- Add TensorFlow supported ops in driver similar to exist onnx operator list
- Add a MIGRAPHX_TRACE_MATCHES_FOR env variable to filter the matcher trace
- Improved debugging by printing max,min,mean and stddev values for TRACE_EVAL = 2
- use fast_math flag instead of ENV flag for GELU
- Print message from driver if offload copy is set for compiled program

##### Optimizations

- Optimized for ONNX Runtime 1.14.0
- Improved compile times by only building for the GPU on the system
- Improve performance of pointwise/reduction kernels when using NHWC layouts
- Load specific version of the migraphx_py library
- Annotate functions with the block size so the compiler can do a better job of optimizing
- Enable reshape on nonstandard shapes
- Use half HIP APIs to compute max and min
- Added support for broadcasted scalars to unsqueeze operator
- Improved multiplies with dot operator
- Handle broadcasts across dot and concat
- Add verify namespace for better symbol resolution

##### Fixed

- Resolved accuracy issues with FP16 resnet50
- Update cpp generator to handle inf from  float
- Fix assertion error during verify and make DCE work with tuples
- Fix convert operation for NaNs
- Fix shape typo in API test
- Fix compile warnings for shadowing variable names
- Add missing specialization for the `nullptr` for the hash function

##### Changed

- Bumped version of half library to 5.6.0
- Bumped CI to support rocm 5.6
- Make building tests optional
- replace np.bool with bool as per numpy request

##### Removed

- Removed int8x4 rocBlas calls due to deprecation
- removed std::reduce usage since not all OS&#39; support it

#### composable_kernel 0.2.0

CK 0.2.0 for ROCm 5.7.0

##### Fixed

- Fixed a bug in 6-dimensional kernels (#555).
- Fixed grouped ConvBwdWeight test case failure (#524).

##### Optimizations

- Improve proformance of normalization kernel

##### Added

- Added support on NAVI3x.
- Added user tutorial (#563).
- Added more instances for irregular GEMM sizes (#560).
- Added inter-wave consumer-producer programming model for GEMM kernels (#310).
- Added multi-D GEMM client APIs (#534).
- Added multi-embeddings support (#542).
- Added Navi3x blockwise GEMM and real GEMM support (#541).
- Added Navi grouped ConvBwdWeight support (#505).

##### Changed

- Changed ...

#### hipBLAS 1.1.0

hipBLAS 1.1.0 for ROCm 5.7.0

##### Changed

- updated documentation requirements

##### Dependencies

- dependency rocSOLVER now depends on rocSPARSE

#### hipSOLVER 1.8.1

hipSOLVER 1.8.1 for ROCm 5.7.0

##### Changed

- Changed hipsolver-test sparse input data search paths to be relative to the test executable

#### hipSPARSE 2.3.8

hipSPARSE 2.3.8 for ROCm 5.7.0

##### Improved

- Fix compilation failures when using cusparse 12.1.0 backend
- Fix compilation failures when using cusparse 12.0.0 backend
- Fix compilation failures when using cusparse 10.1 (non-update versions) as backend
- Minor improvements

#### MIVisionX 2.5.0

MIVisionX for ROCm 5.7.0

##### Added

* CTest - OpenVX Tests
* Hardware Support

##### Optimizations

* CMakeList Cleanup

##### Changed

* rocAL - PyBind Link to prebuilt library
  + PyBind11
  + RapidJSON
* Setup Updates
* RPP Version - 1.2.0
* Dockerfiles - Updates &amp; bugfix

##### Fixed

* rocAL bug fix and updates

##### Tested Configurations

* Windows `10` / `11`
* Linux distribution
  + Ubuntu - `20.04` / `22.04`
  + CentOS - `7` / `8`
  + RHEL - `8` / `9`
  + SLES - `15-SP4`
* ROCm: rocm-core - `5.4.3.50403-121`
* miopen-hip - `2.19.0.50403-121`
* miopen-opencl - `2.18.0.50300-63`
* migraphx - `2.4.0.50403-121`
* Protobuf - [V3.12.4](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.4)
* OpenCV - [4.6.0](https://github.com/opencv/opencv/releases/tag/4.6.0)
* RPP - [1.2.0](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/1.2.0)
* FFMPEG - [n4.4.2](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.4.2)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.5.4`

##### Known Issues

* OpenCV 4.X support for some apps missing

##### Mivisionx Dependency Map



##### Hip Backend

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `new component added to the level`
- ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm HIP &lt;br&gt; +Level 1                             | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `librocal.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `rocal_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

##### Opencl Backend

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `new component added to the level`
- ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `librocal.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `rocal_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

**NOTE:** OpenVX and the OpenVX logo are trademarks of the Khronos Group Inc.

#### rocALUTION 2.1.11

rocALUTION 2.1.11 for ROCm 5.7.0

##### Added

- Added support for gfx940, gfx941 and gfx942

##### Improved

- Fixed OpenMP runtime issue with Windows toolchain

#### rocBLAS 3.1.0

rocBLAS 3.1.0 for ROCm 5.7.0

##### Added

- yaml lock step argument scanning for rocblas-bench and rocblas-test clients. See Programmers Guide for details.
- rocblas-gemm-tune is used to find the best performing GEMM kernel for each of a given set of GEMM problems.

##### Fixed

- make offset calculations for rocBLAS functions 64 bit safe.  Fixes for very large leading dimensions or increments potentially causing overflow:
  - Level 1: axpy, copy, rot, rotm, scal, swap, asum, dot, iamax, iamin, nrm2
  - Level 2: gemv, symv, hemv, trmv, ger, syr, her, syr2, her2, trsv
  - Level 3: gemm, symm, hemm, trmm, syrk, herk, syr2k, her2k, syrkx, herkx, trsm, trtri, dgmm, geam
  - General: set_vector, get_vector, set_matrix, get_matrix
  - Related fixes: internal scalar loads with &gt; 32bit offsets
  - fix in-place functionality for all trtri sizes

##### Changed

- dot when using rocblas_pointer_mode_host is now synchronous to match legacy BLAS as it stores results in host memory
- enhanced reporting of installation issues caused by runtime libraries (Tensile)
- standardized internal rocblas C++ interface across most functions

##### Deprecated

- Removal of __STDC_WANT_IEC_60559_TYPES_EXT__ define in future release

##### Dependencies

- optional use of AOCL BLIS 4.0 on Linux for clients
- optional build tool only dependency on python psutil

#### rocFFT 1.0.24

rocFFT 1.0.24 for ROCm 5.7.0

##### Optimizations

- Improved performance of complex forward/inverse 1D FFTs (2049 &lt;= length &lt;= 131071) that use Bluestein&#39;s algorithm.

##### Added

- Implemented a solution map version converter and finish the first conversion from ver.0 to ver.1. Where version 1 removes some incorrect kernels (sbrc/sbcr using half_lds)

##### Changed

- Moved rocfft_rtc_helper executable to lib/rocFFT directory on Linux.
- Moved library kernel cache to lib/rocFFT directory.

#### rocm-cmake 0.10.0

rocm-cmake 0.10.0 for ROCm 5.7.0

##### Added

- Added ROCMTest module
- ROCMCreatePackage: Added support for ASAN packages

#### rocPRIM 2.13.1

rocPRIM 2.13.1 for ROCm 5.7.0

##### Changed

- Deprecated configuration `radix_sort_config` for device-level radix sort as it no longer matches the algorithm&#39;s parameters. New configuration `radix_sort_config_v2` is preferred instead.
- Removed erroneous implementation of device-level `inclusive_scan` and `exclusive_scan`. The prior default implementation using lookback-scan now is the only available implementation.
- The benchmark metric indicating the bytes processed for `exclusive_scan_by_key` and `inclusive_scan_by_key` has been changed to incorporate the key type. Furthermore, the benchmark log has been changed such that these algorithms are reported as `scan` and `scan_by_key` instead of `scan_exclusive` and `scan_inclusive`.
- Deprecated configurations `scan_config` and `scan_by_key_config` for device-level scans, as they no longer match the algorithm&#39;s parameters. New configurations `scan_config_v2` and `scan_by_key_config_v2` are preferred instead.

##### Fixed

- Fixed build issue caused by missing header in `thread/thread_search.hpp`.

#### rocSOLVER 3.23.0

rocSOLVER 3.23.0 for ROCm 5.7.0

##### Added

- LU factorization without pivoting for block tridiagonal matrices:
    - GEBLTTRF_NPVT now supports interleaved\_batched format
- Linear system solver without pivoting for block tridiagonal matrices:
    - GEBLTTRS_NPVT now supports interleaved\_batched format

##### Fixed

- Fixed stack overflow in sparse tests on Windows

##### Changed

- Changed rocsolver-test sparse input data search paths to be relative to the test executable
- Changed build scripts to default to compressed debug symbols in Debug builds

#### rocSPARSE 2.5.4

rocSPARSE 2.5.4 for ROCm 5.7.0

##### Added

- Added more mixed precisions for SpMV, (matrix: float, vectors: double, calculation: double) and (matrix: rocsparse_float_complex, vectors: rocsparse_double_complex, calculation: rocsparse_double_complex)
- Added support for gfx940, gfx941 and gfx942

##### Improved

- Fixed a bug in csrsm and bsrsm

##### Known Issues

In csritlu0, the algorithm rocsparse_itilu0_alg_sync_split_fusion has some accuracy issues to investigate with XNACK enabled. The fallback is rocsparse_itilu0_alg_sync_split.

#### rocWMMA 1.2.0

rocWMMA 1.2.0 for ROCm 5.7.0

##### Changed

- Fixed a bug with synchronization
- Updated rocWMMA cmake versioning

#### rpp 1.2.0

rpp for ROCm 5.7.0

##### Added

* New Tests

##### Optimizations

* Readme Updates

##### Changed

* **Backend** - Default Backend set to `HIP`

##### Fixed

* Minor bugs and warnings

##### Tested Configurations

* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `8`
* ROCm: rocm-core - `5.0.0.50000-49`
* Clang - Version `6.0`
* CMake - Version `3.22.3`
* Boost - Version `1.72`
* IEEE 754-based half-precision floating-point library - Version `1.12.0`

##### Known Issues

* `CPU` only backend not enabled

##### Rpp 1.1.0



##### Rpp 1.0.0



##### Rpp 0.99



##### Rpp 0.98



##### Rpp 0.97



##### Rpp 0.96



##### Rpp 0.95



##### Rpp 0.93



#### Tensile 4.38.0

Tensile 4.38.0 for ROCm 5.7.0

##### Added

- Added support for FP16 Alt Round Near Zero Mode (this feature allows the generation of alternate kernels with intermediate rounding instead of truncation)
- Added user-driven solution selection feature

##### Optimizations

- Enabled LocalSplitU with MFMA for I8 data type
- Optimized K mask code in mfmaIter
- Enabled TailLoop code in NoLoadLoop to prefetch global/local read
- Enabled DirectToVgpr in TailLoop for NN, TN, and TT matrix orientations
- Optimized DirectToLds test cases to reduce the test duration

##### Changed

- Removed DGEMM NT custom kernels and related test cases
- Changed noTailLoop logic to apply noTailLoop only for NT
- Changed the range of AssertFree0ElementMultiple and Free1
- Unified aStr, bStr generation code in mfmaIter

##### Fixed

- Fixed LocalSplitU mismatch issue for SGEMM
- Fixed BufferStore=0 and Ldc != Ldd case
- Fixed mismatch issue with TailLoop + MatrixInstB &gt; 1

-------------------

## ROCm 5.6.1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->

### What's new in this release

ROCm 5.6.1 is a point release with several bug fixes in the HIP runtime.

#### HIP 5.6.1 (for ROCm 5.6.1)

### Defect fixes

* `hipMemcpy` device-to-device (inter-device) is now asynchronous with respect to the host
* Enabled xnack+ check in HIP catch2 tests hang when executing tests
* Memory leak when code object files are loaded/unloaded via hipModuleLoad/hipModuleUnload APIs
* Using `hipGraphAddMemFreeNode` no longer results in a crash

### Library changes in ROCm 5.6.1

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.5](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.6.1) |
| hipBLAS | [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.6.1) |
| hipCUB | [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.6.1) |
| hipFFT | [1.0.12](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.6.1) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.6.1) |
| hipSOLVER | [1.8.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.6.1) |
| hipSPARSE | 2.3.6 ⇒ [2.3.7](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.6.1) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.6.1) |
| MIVisionX | [2.4.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.6.1) |
| rccl | [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-5.6.1) |
| rocALUTION | [2.1.9](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.6.1) |
| rocBLAS | [3.0.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.6.1) |
| rocFFT | [1.0.23](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.6.1) |
| rocm-cmake | [0.9.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.6.1) |
| rocPRIM | [2.13.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.6.1) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.6.1) |
| rocSOLVER | [3.22.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.6.1) |
| rocSPARSE | [2.5.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.6.1) |
| rocThrust | [2.18.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.6.1) |
| rocWMMA | [1.1.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.6.1) |
| Tensile | [4.37.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.6.1) |

#### hipSPARSE 2.3.7

hipSPARSE 2.3.7 for ROCm 5.6.1

##### Bugfix

- Reverted an undocumented API change in hipSPARSE 2.3.6 that affected hipsparseSpSV_solve function

-------------------

## ROCm 5.6.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->
<!-- markdownlint-disable header-increment -->
### Release highlights

ROCm 5.6 consists of several AI software ecosystem improvements to our fast-growing user base.  A
few examples include:

* New documentation portal at https://rocm.docs.amd.com
* Ongoing software enhancements for LLMs, ensuring full compliance with the HuggingFace unit test
  suite
* OpenAI Triton, CuPy, HIP Graph support, and many other library performance enhancements
* Improved ROCm deployment and development tools, including CPU-GPU (rocGDB) debugger,
  profiler, and docker containers
* New pseudorandom generators are available in rocRAND.  Added support for half-precision
  transforms in hipFFT/rocFFT.  Added LU refactorization and linear system solver for sparse matrices in
  rocSOLVER.

### OS and GPU support changes

* SLES15 SP5 support was added this release. SLES15 SP3 support was dropped.
* AMD Instinct MI50, Radeon Pro VII, and Radeon VII products (collectively referred to as gfx906 GPUs)
  will be entering the maintenance mode starting Q3 2023. This will be aligned with ROCm 5.7 GA
  release date.
  * No new features and performance optimizations will be supported for the gfx906 GPUs beyond
    ROCm 5.7
  * Bug fixes / critical security patches will continue to be supported for the gfx906 GPUs till Q2 2024
    (EOM will be aligned with the closest ROCm release)
  * Bug fixes during the maintenance will be made to the next ROCm point release
  * Bug fixes will not be back ported to older ROCm releases for this SKU
  * Distro / Operating system updates will continue per the ROCm release cadence for gfx906 GPUs till
    EOM.

### AMDSMI CLI 23.0.0.4

#### Additions

* AMDSMI CLI tool enabled for Linux Bare Metal & Guest

* Package: amd-smi-lib

#### Known issues

* not all Error Correction Code (ECC) fields are currently supported

* RHEL 8 & SLES 15 have extra install steps

### Kernel modules (DKMS)

#### Fixes

* Stability fix for multi GPU system reproducible via ROCm_Bandwidth_Test as reported in
  [Issue 2198](https://github.com/ROCm/ROCm/issues/2198).

### HIP 5.6 (for ROCm 5.6)

#### Optimizations

* Consolidation of hipamd, rocclr and OpenCL projects in clr
* Optimized lock for graph global capture mode

#### Additions

* Added hipRTC support for amd_hip_fp16
* Added hipStreamGetDevice implementation to get the device associated with the stream
* Added HIP_AD_FORMAT_SIGNED_INT16 in hipArray formats
* hipArrayGetInfo for getting information about the specified array
* hipArrayGetDescriptor for getting 1D or 2D array descriptor
* hipArray3DGetDescriptor to get 3D array descriptor

#### Changes

* hipMallocAsync to return success for zero size allocation to match hipMalloc
* Separation of hipcc perl binaries from HIP project to hipcc project. hip-devel package depends on newly added hipcc package
* Consolidation of hipamd, ROCclr, and OpenCL repositories into a single repository called clr. Instructions are updated to build HIP from sources in the HIP Installation guide
* Removed hipBusBandwidth and hipCommander samples from hip-tests

#### Fixes

* Fixed regression in hipMemCpyParam3D when offset is applied

#### Known issues

* Limited testing on xnack+ configuration
  * Multiple HIP tests failures (gpuvm fault or hangs)
* hipSetDevice and hipSetDeviceFlags APIs return hipErrorInvalidDevice instead of hipErrorNoDevice, on a system without GPU
* Known memory leak when code object files are loaded/unloaded via hipModuleLoad/hipModuleUnload APIs. Issue will be fixed in a future ROCm release

#### Upcoming changes in future release

* Removal of gcnarch from hipDeviceProp_t structure
* Addition of new fields in hipDeviceProp_t structure
  * maxTexture1D
  * maxTexture2D
  * maxTexture1DLayered
  * maxTexture2DLayered
  * sharedMemPerMultiprocessor
  * deviceOverlap
  * asyncEngineCount
  * surfaceAlignment
  * unifiedAddressing
  * computePreemptionSupported
  * uuid
* Removal of deprecated code
  * hip-hcc codes from hip code tree
* Correct hipArray usage in HIP APIs such as hipMemcpyAtoH and hipMemcpyHtoA
* HIPMEMCPY_3D fields correction (unsigned int -> size_t)
* Renaming of 'memoryType' in hipPointerAttribute_t structure to 'type'

### ROCgdb-13 (For ROCm 5.6.0)

#### Optimizations

* Improved performances when handling the end of a process with a large number of threads.

#### Known issues

* On certain configurations, ROCgdb can show the following warning message:

  `warning: Probes-based dynamic linker interface failed. Reverting to original interface.`

  This does not affect ROCgdb's functionalities.

### ROCprofiler (for ROCm 5.6.0)

In ROCm 5.6 the `rocprofilerv1` and `rocprofilerv2` include and library files of
ROCm 5.5 are split into separate files. The `rocmtools` files that were
deprecated in ROCm 5.5 have been removed.

  | ROCm 5.6        | rocprofilerv1                       | rocprofilerv2                          |
  |-----------------|-------------------------------------|----------------------------------------|
  | **Tool script** | `bin/rocprof`                       | `bin/rocprofv2`                        |
  | **API include** | `include/rocprofiler/rocprofiler.h` | `include/rocprofiler/v2/rocprofiler.h` |
  | **API library** | `lib/librocprofiler.so.1`           | `lib/librocprofiler.so.2`              |

The ROCm Profiler Tool that uses `rocprofilerV1` can be invoked using the
following command:

```sh
rocprof …
```

To write a custom tool based on the `rocprofilerV1` API do the following:

```C
main.c:
#include <rocprofiler/rocprofiler.h> // Use the rocprofilerV1 API
int main() {
  // Use the rocprofilerV1 API
  return 0;
}
```

This can be built in the following manner:

```sh
gcc main.c -I/opt/rocm-5.6.0/include -L/opt/rocm-5.6.0/lib -lrocprofiler64
```

The resulting `a.out` will depend on
`/opt/rocm-5.6.0/lib/librocprofiler64.so.1`.

The ROCm Profiler that uses `rocprofilerV2` API can be invoked using the
following command:

```sh
rocprofv2 …
```

To write a custom tool based on the `rocprofilerV2` API do the following:

```C
main.c:
#include <rocprofiler/v2/rocprofiler.h> // Use the rocprofilerV2 API
int main() {
  // Use the rocprofilerV2 API
  return 0;
}
```

This can be built in the following manner:

```sh
gcc main.c -I/opt/rocm-5.6.0/include -L/opt/rocm-5.6.0/lib -lrocprofiler64-v2
```

The resulting `a.out` will depend on
`/opt/rocm-5.6.0/lib/librocprofiler64.so.2`.

#### Optimizations

* Improved Test Suite

#### Additions

* 'end_time' need to be disabled in roctx_trace.txt

#### Fixes

* rocprof in ROcm/5.4.0 gpu selector broken.
* rocprof in ROCm/5.4.1 fails to generate kernel info.
* rocprof clobbers LD_PRELOAD.

### Library changes in ROCm 5.6.0

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.5](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.6.0) |
| hipBLAS | [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.6.0) |
| hipCUB | [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.6.0) |
| hipFFT | 1.0.11 ⇒ [1.0.12](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.6.0) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.6.0) |
| hipSOLVER | 1.7.0 ⇒ [1.8.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.6.0) |
| hipSPARSE | 2.3.5 ⇒ [2.3.6](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.6.0) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.6.0) |
| MIVisionX | 2.3.0 ⇒ [2.4.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.6.0) |
| rccl | [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-5.6.0) |
| rocALUTION | 2.1.8 ⇒ [2.1.9](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.6.0) |
| rocBLAS | 2.47.0 ⇒ [3.0.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.6.0) |
| rocFFT | 1.0.22 ⇒ [1.0.23](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.6.0) |
| rocm-cmake | 0.8.1 ⇒ [0.9.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.6.0) |
| rocPRIM | [2.13.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.6.0) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.6.0) |
| rocSOLVER | 3.21.0 ⇒ [3.22.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.6.0) |
| rocSPARSE | 2.5.1 ⇒ [2.5.2](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.6.0) |
| rocThrust | 2.17.0 ⇒ [2.18.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.6.0) |
| rocWMMA | 1.0 ⇒ [1.1.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.6.0) |
| Tensile | 4.36.0 ⇒ [4.37.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.6.0) |

#### hipFFT 1.0.12

hipFFT 1.0.12 for ROCm 5.6.0

##### Added

- Implemented the hipfftXtMakePlanMany, hipfftXtGetSizeMany, hipfftXtExec APIs, to allow requesting half-precision transforms.

##### Changed

- Added --precision argument to benchmark/test clients.  --double is still accepted but is deprecated as a method to request a double-precision transform.

#### hipSOLVER 1.8.0

hipSOLVER 1.8.0 for ROCm 5.6.0

##### Added

- Added compatibility API with hipsolverRf prefix

#### hipSPARSE 2.3.6

hipSPARSE 2.3.6 for ROCm 5.6.0

##### Added

- Added SpGEMM algorithms

##### Changed

- For hipsparseXbsr2csr and hipsparseXcsr2bsr, blockDim == 0 now returns HIPSPARSE_STATUS_INVALID_SIZE

#### MIVisionX 2.4.0

MIVisionX for ROCm 5.6.0

##### Added

* OpenVX FP16 Support
* rocAL - CPU, HIP, &amp; OCL backends
* AMD RPP - CPU, HIP, &amp; OCL backends
* MIVisionX Setup Support for RHEL
* Extended OS Support
* Docker Support for Ubuntu `22.04`
* Tests

##### Optimizations

* CMakeList Cleanup
* MIGraphX Extension Updates
* rocAL - Documentation
* CMakeList Updates &amp; Cleanup

##### Changed

* rocAL - Changing Python Lib Path
* Docker Support - Ubuntu 18 Support Dropped
* RPP - Link to Version 1.0.0
* rocAL - support updates
* Setup Updates

##### Fixed

* rocAL bug fix and updates
* AMD RPP - bug fixes
* CMakeLists - Issues
* RPATH - Link Issues

##### Tested Configurations

* Windows `10` / `11`
* Linux distribution
  + Ubuntu - `20.04` / `22.04`
  + CentOS - `7` / `8`
  + RHEL - `8` / `9`
  + SLES - `15-SP3`
* ROCm: rocm-core - `5.4.3.50403-121`
* miopen-hip - `2.19.0.50403-121`
* miopen-opencl - `2.18.0.50300-63`
* migraphx - `2.4.0.50403-121`
* Protobuf - [V3.12.4](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.4)
* OpenCV - [4.6.0](https://github.com/opencv/opencv/releases/tag/4.6.0)
* RPP - [1.0.0](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/1.0.0)
* FFMPEG - [n4.4.2](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.4.2)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.4.2`

##### Known Issues

* OpenCV 4.X support for some apps missing

##### Mivisionx Dependency Map

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `new component added to the level`
- ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                               | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                       | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/blue_square.png) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `librocal.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://raw.githubusercontent.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/develop/docs/data/green_square.png) `rocal_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

**NOTE:** OpenVX and the OpenVX logo are trademarks of the Khronos Group Inc.

#### rocALUTION 2.1.9

rocALUTION 2.1.9 for ROCm 5.6.0

##### Improved

- Fixed synchronization issues in level 1 routines

#### rocBLAS 3.0.0

rocBLAS 3.0.0 for ROCm 5.6.0

##### Optimizations

- Improved performance of Level 2 rocBLAS GEMV on gfx90a GPU for non-transposed problems having small matrices and larger batch counts. Performance enhanced for problem sizes when m and n &lt;= 32 and batch_count &gt;= 256.
- Improved performance of rocBLAS syr2k for single, double, and double-complex precision, and her2k for double-complex precision. Slightly improved performance for general sizes on gfx90a.

##### Added

- Added bf16 inputs and f32 compute support to Level 1 rocBLAS Extension functions axpy_ex, scal_ex and nrm2_ex.

##### Deprecated

- trmm inplace is deprecated. It will be replaced by trmm that has both inplace and out-of-place functionality
- rocblas_query_int8_layout_flag() is deprecated and will be removed in a future release
- rocblas_gemm_flags_pack_int8x4 enum is deprecated and will be removed in a future release
- rocblas_set_device_memory_size() is deprecated and will be replaced by a future function rocblas_increase_device_memory_size()
- rocblas_is_user_managing_device_memory() is deprecated and will be removed in a future release

##### Removed

- is_complex helper was deprecated and now removed.  Use rocblas_is_complex instead.
- The enum truncate_t and the value truncate was deprecated and now removed from. It was replaced by rocblas_truncate_t and rocblas_truncate, respectively.
- rocblas_set_int8_type_for_hipblas was deprecated and is now removed.
- rocblas_get_int8_type_for_hipblas was deprecated and is now removed.

##### Dependencies

- build only dependency on python joblib added as used by Tensile build
- fix for cmake install on some OS when performed by install.sh -d --cmake_install

##### Fixed

- make trsm offset calculations 64 bit safe

##### Changed

- refactor rotg test code

#### rocFFT 1.0.23

rocFFT 1.0.23 for ROCm 5.6.0

##### Added

- Implemented half-precision transforms, which can be requested by passing rocfft_precision_half to rocfft_plan_create.
- Implemented a hierarchical solution map which saves how to decompose a problem and the kernels to be used.
- Implemented a first version of offline-tuner to support tuning kernels for C2C/Z2Z problems.

##### Changed

- Replaced std::complex with hipComplex data types for data generator.
- FFT plan dimensions are now sorted to be row-major internally where possible, which produces better plans if the dimensions were accidentally specified in a different order (column-major, for example).
- Added --precision argument to benchmark/test clients.  --double is still accepted but is deprecated as a method to request a double-precision transform.

##### Fixed

- Fixed over-allocation of LDS in some real-complex kernels, which was resulting in kernel launch failure.

#### rocm-cmake 0.9.0

rocm-cmake 0.9.0 for ROCm 5.6.0

##### Added

- Added the option ROCM_HEADER_WRAPPER_WERROR
    - Compile-time C macro in the wrapper headers causes errors to be emitted instead of warnings.
    - Configure-time CMake option sets the default for the C macro.

#### rocSOLVER 3.22.0

rocSOLVER 3.22.0 for ROCm 5.6.0

##### Added

- LU refactorization for sparse matrices
    - CSRRF_ANALYSIS
    - CSRRF_SUMLU
    - CSRRF_SPLITLU
    - CSRRF_REFACTLU
- Linear system solver for sparse matrices
    - CSRRF_SOLVE
- Added type `rocsolver_rfinfo` for use with sparse matrix routines

##### Optimized

- Improved the performance of BDSQR and GESVD when singular vectors are requested

##### Fixed

- BDSQR and GESVD should no longer hang when the input contains `NaN` or `Inf`

#### rocSPARSE 2.5.2

rocSPARSE 2.5.2 for ROCm 5.6.0

##### Improved

- Fixed a memory leak in csritsv
- Fixed a bug in csrsm and bsrsm

#### rocThrust 2.18.0

rocThrust 2.18.0 for ROCm 5.6.0

##### Fixed

- `lower_bound`, `upper_bound`, and `binary_search` failed to compile for certain types.

##### Changed

- Updated `docs` directory structure to match the standard of [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core).

#### rocWMMA 1.1.0

rocWMMA 1.1.0 for ROCm 5.6.0

##### Added

- Added cross-lane operation backends (Blend, Permute, Swizzle and Dpp)
- Added GPU kernels for rocWMMA unit test pre-process and post-process operations (fill, validation)
- Added performance gemm samples for half, single and double precision
- Added rocWMMA cmake versioning
- Added vectorized support in coordinate transforms
- Included ROCm smi for runtime clock rate detection
- Added fragment transforms for transpose and change data layout

##### Changed

- Default to GPU rocBLAS validation against rocWMMA
- Re-enabled int8 gemm tests on gfx9
- Upgraded to C++17
- Restructured unit test folder for consistency
- Consolidated rocWMMA samples common code

#### Tensile 4.37.0

Tensile 4.37.0 for ROCm 5.6.0

##### Added

- Added user driven tuning API
- Added decision tree fallback feature
- Added SingleBuffer + AtomicAdd option for GlobalSplitU
- DirectToVgpr support for fp16 and Int8 with TN orientation
- Added new test cases for various functions
- Added SingleBuffer algorithm for ZGEMM/CGEMM
- Added joblib for parallel map calls
- Added support for MFMA + LocalSplitU + DirectToVgprA+B
- Added asmcap check for MIArchVgpr
- Added support for MFMA + LocalSplitU
- Added frequency, power, and temperature data to the output

##### Optimizations

- Improved the performance of GlobalSplitU with SingleBuffer algorithm
- Reduced the running time of the extended and pre_checkin tests
- Optimized the Tailloop section of the assembly kernel
- Optimized complex GEMM (fixed vgpr allocation, unified CGEMM and ZGEMM code in MulMIoutAlphaToArch)
- Improved the performance of the second kernel of MultipleBuffer algorithm

##### Changed

- Updated custom kernels with 64-bit offsets
- Adapted 64-bit offset arguments for assembly kernels
- Improved temporary register re-use to reduce max sgpr usage
- Removed some restrictions on VectorWidth and DirectToVgpr
- Updated the dependency requirements for Tensile
- Changed the range of AssertSummationElementMultiple
- Modified the error messages for more clarity
- Changed DivideAndReminder to vectorStaticRemainder in case quotient is not used
- Removed dummy vgpr for vectorStaticRemainder
- Removed tmpVgpr parameter from vectorStaticRemainder/Divide/DivideAndReminder
- Removed qReg parameter from vectorStaticRemainder

##### Fixed

- Fixed tmp sgpr allocation to avoid over-writing values (alpha)
- 64-bit offset parameters for post kernels
- Fixed gfx908 CI test failures
- Fixed offset calculation to prevent overflow for large offsets
- Fixed issues when BufferLoad and BufferStore are equal to zero
- Fixed StoreCInUnroll + DirectToVgpr + no useInitAccVgprOpt mismatch
- Fixed DirectToVgpr + LocalSplitU + FractionalLoad mismatch
- Fixed the memory access error related to StaggerU + large stride
- Fixed ZGEMM 4x4 MatrixInst mismatch
- Fixed DGEMM 4x4 MatrixInst mismatch
- Fixed ASEM + GSU + NoTailLoop opt mismatch
- Fixed AssertSummationElementMultiple + GlobalSplitU issues
- Fixed ASEM + GSU + TailLoop inner unroll

-------------------

## ROCm 5.5.1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->
### What's new in this release

#### HIP SDK for Windows

AMD is pleased to announce the availability of the HIP SDK for Windows as part
of ROCm software. The
[HIP SDK OS and GPU support page](https://rocm.docs.amd.com/en/docs-5.5.1/release/windows_support.html)
lists the versions of Windows and GPUs validated by AMD. HIP SDK features on
Windows are described in detail in our
[What is ROCm?](https://rocm.docs.amd.com/en/docs-5.5.1/rocm.html#rocm-on-windows)
page and differs from the Linux feature set. Visit
[Quick Start](https://rocm.docs.amd.com/en/docs-5.5.1/deploy/windows/quick_start.html#)
page to get started. Known issues are tracked on
[GitHub](https://github.com/ROCm/ROCm/issues?q=is%3Aopen+label%3A5.5.1+label%3A%22Verified+Issue%22+label%3AWindows).

#### HIP API change

The following HIP API is updated in the ROCm 5.5.1 release:

##### `hipDeviceSetCacheConfig`

* The return value for `hipDeviceSetCacheConfig` is updated from `hipErrorNotSupported` to
  `hipSuccess`

### Library changes in ROCm 5.5.1

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.5](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.5.1) |
| hipBLAS | [0.54.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.5.1) |
| hipBLASLt | [0.1.0](https://github.com/ROCm/hipBLASLt/releases/tag/rocm-5.5.1) |
| hipCUB | [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.5.1) |
| hipFFT | [1.0.11](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.5.1) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.5.1) |
| hipSOLVER | [1.7.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.5.1) |
| hipSPARSE | [2.3.5](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.5.1) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.5.1) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.5.1) |
| rccl | [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-5.5.1) |
| rocALUTION | [2.1.8](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.5.1) |
| rocBLAS | [2.47.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.5.1) |
| rocFFT | [1.0.22](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.5.1) |
| rocm-cmake | [0.8.1](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.5.1) |
| rocPRIM | [2.13.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.5.1) |
| rocRAND | [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.5.1) |
| rocSOLVER | [3.21.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.5.1) |
| rocSPARSE | [2.5.1](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.5.1) |
| rocThrust | [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.5.1) |
| rocWMMA | [1.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.5.1) |
| Tensile | [4.36.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.5.1) |

-------------------

## ROCm 5.5.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->
### What's new in this release

#### HIP enhancements

The ROCm v5.5 release consists of the following HIP enhancements:

##### Enhanced stack size limit

In this release, the stack size limit is increased from 16k to 131056 bytes (or 128K - 16).
Applications requiring to update the stack size can use hipDeviceSetLimit API.

##### `hipcc` changes

The following hipcc changes are implemented in this release:

* `hipcc` will not implicitly link to `libpthread` and `librt`, as they are no longer a link time dependence
  for HIP programs.  Applications that depend on these libraries must explicitly link to them.
* `-use-staticlib` and `-use-sharedlib` options are deprecated.

##### Future changes

* Separation of `hipcc` binaries (Perl scripts) from HIP to `hipcc` project. Users will access separate
  `hipcc` package for installing `hipcc` binaries in future ROCm releases.

* In a future ROCm release, the following samples will be removed from the `hip-tests` project.
  * `hipBusbandWidth` at <https://github.com/ROCm/hip-tests/tree/752f3295baddeb122aa8dc18d254cb9df6fd619d/samples/1_Utils/hipBusBandwidth>
  * `hipCommander` at <https://github.com/ROCm/hip-tests/tree/752f3295baddeb122aa8dc18d254cb9df6fd619d/samples/1_Utils/hipCommander>

  Note that the samples will continue to be available in previous release branches.
* Removal of gcnarch from hipDeviceProp_t structure
* Addition of new fields in hipDeviceProp_t structure
  * maxTexture1D
  * maxTexture2D
  * maxTexture1DLayered
  * maxTexture2DLayered
  * sharedMemPerMultiprocessor
  * deviceOverlap
  * asyncEngineCount
  * surfaceAlignment
  * unifiedAddressing
  * computePreemptionSupported
  * hostRegisterSupported
  * uuid
* Removal of deprecated code
  * hip-hcc codes from hip code tree
* Correct hipArray usage in HIP APIs such as hipMemcpyAtoH and hipMemcpyHtoA
* HIPMEMCPY_3D fields correction to avoid truncation of "size_t" to "unsigned int" inside hipMemcpy3D()
* Renaming of 'memoryType' in hipPointerAttribute_t structure to 'type'
* Correct hipGetLastError to return the last error instead of last API call's return code
* Update hipExternalSemaphoreHandleDesc to add "unsigned int reserved\[16]"
* Correct handling of flag values in hipIpcOpenMemHandle for hipIpcMemLazyEnablePeerAccess
* Remove hiparray* and make it opaque with hipArray_t

##### New HIP APIs in this release

:::{note}
This is a pre-official version (beta) release of the new APIs and may contain unresolved issues.
:::

###### Memory management HIP APIs

The new memory management HIP API is as follows:

* Sets information on the specified pointer \[BETA].

  ```cpp
  hipError_t hipPointerSetAttribute(const void* value, hipPointer_attribute attribute, hipDeviceptr_t ptr);
  ```

###### Module management HIP APIs

The new module management HIP APIs are as follows:

* Launches kernel $f$ with launch parameters and shared memory on stream with arguments passed
  to `kernelParams`, where thread blocks can cooperate and synchronize as they run.

  ```cpp
  hipError_t hipModuleLaunchCooperativeKernel(hipFunction_t f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ, unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, hipStream_t stream, void** kernelParams);
  ```

* Launches kernels on multiple devices where thread blocks can cooperate and synchronize as they
  run.

  ```cpp
  hipError_t hipModuleLaunchCooperativeKernelMultiDevice(hipFunctionLaunchParams* launchParamsList, unsigned int numDevices, unsigned int flags);
  ```

###### HIP graph management APIs

The new HIP graph management APIs are as follows:

* Creates a memory allocation node and adds it to a graph \[BETA]

  ```cpp
  hipError_t hipGraphAddMemAllocNode(hipGraphNode_t* pGraphNode, hipGraph_t graph, const hipGraphNode_t* pDependencies, size_t numDependencies, hipMemAllocNodeParams* pNodeParams);
  ```

* Return parameters for memory allocation node \[BETA]

  ```cpp
  hipError_t hipGraphMemAllocNodeGetParams(hipGraphNode_t node, hipMemAllocNodeParams* pNodeParams);
  ```

* Creates a memory free node and adds it to a graph \[BETA]

  ```cpp
  hipError_t hipGraphAddMemFreeNode(hipGraphNode_t* pGraphNode, hipGraph_t graph, const hipGraphNode_t* pDependencies, size_t numDependencies, void* dev_ptr);
  ```

* Returns parameters for memory free node \[BETA].

  ```cpp
  hipError_t hipGraphMemFreeNodeGetParams(hipGraphNode_t node, void* dev_ptr);
  ```

* Write a DOT file describing graph structure \[BETA].

  ```cpp
  hipError_t hipGraphDebugDotPrint(hipGraph_t graph, const char* path, unsigned int flags);
  ```

* Copies attributes from source node to destination node \[BETA].

  ```cpp
  hipError_t hipGraphKernelNodeCopyAttributes(hipGraphNode_t hSrc, hipGraphNode_t hDst);
  ```

* Enables or disables the specified node in the given graphExec \[BETA]

  ```cpp
  hipError_t hipGraphNodeSetEnabled(hipGraphExec_t hGraphExec, hipGraphNode_t hNode, unsigned int isEnabled);
  ```

* Query whether a node in the given graphExec is enabled \[BETA]

  ```cpp
  hipError_t hipGraphNodeGetEnabled(hipGraphExec_t hGraphExec, hipGraphNode_t hNode, unsigned int* isEnabled);
  ```

##### OpenMP enhancements

This release consists of the following OpenMP enhancements:

* Additional support for OMPT functions `get_device_time` and `get_record_type`
* Added support for min/max fast fp atomics on AMD GPUs
* Fixed the use of the abs function in C device regions

### Deprecations and warnings

#### HIP deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

##### Linux file system hierarchy standard for ROCm

ROCm packages have adopted the Linux foundation file system hierarchy standard in this release to ensure ROCm components follow open source conventions for Linux-based distributions. While moving to a new file system hierarchy, ROCm ensures backward compatibility with its 5.1 version or older file system hierarchy. See below for a detailed explanation of the new file system hierarchy and backward compatibility.

##### New file system hierarchy

The following is the new file system hierarchy:4

```text
/opt/rocm-<ver>
    | --bin
      | --All externally exposed Binaries
    | --libexec
        | --<component>
            | -- Component specific private non-ISA executables (architecture independent)
    | --include
        | -- <component>
            | --<header files>
    | --lib
        | --lib<soname>.so -> lib<soname>.so.major -> lib<soname>.so.major.minor.patch
            (public libraries linked with application)
        | --<component> (component specific private library, executable data)
        | --<cmake>
            | --components
                | --<component>.config.cmake
    | --share
        | --html/<component>/*.html
        | --info/<component>/*.[pdf, md, txt]
        | --man
        | --doc
            | --<component>
                | --<licenses>
        | --<component>
            | --<misc files> (arch independent non-executable)
            | --samples

```

:::{note}
ROCm will not support backward compatibility with the v5.1(old) file system hierarchy in its next major
release.
:::

For more information, refer to <https://refspecs.linuxfoundation.org/fhs.shtml>.

##### Backward compatibility with older file systems

ROCm has moved header files and libraries to its new location as indicated in the above structure and
included symbolic-link and wrapper header files in its old location for backward compatibility.

:::{note}
ROCm will continue supporting backward compatibility until the next major release.
:::
##### Wrapper header files

Wrapper header files are placed in the old location (`/opt/rocm-xxx/<component>/include`) with a
warning message to include files from the new location (`/opt/rocm-xxx/include`) as shown in the
example below:

```cpp
// Code snippet from hip_runtime.h
#pragma message “This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip”.
#include "hip/hip_runtime.h"
```

The wrapper header files’ backward compatibility deprecation is as follows:

* `#pragma` message announcing deprecation -- ROCm v5.2 release
* `#pragma` message changed to `#warning` -- Future release
* `#warning` changed to `#error` -- Future release
* Backward compatibility wrappers removed -- Future release

##### Library files

Library files are available in the `/opt/rocm-xxx/lib` folder. For backward compatibility, the old library
location (`/opt/rocm-xxx/<component>/lib`) has a soft link to the library at the new location.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/
total 4
drwxr-xr-x 4 root root 4096 May 12 10:45 cmake
lrwxrwxrwx 1 root root   24 May 10 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```

##### CMake config files

All CMake configuration files are available in the `/opt/rocm-xxx/lib/cmake/<component>` folder.
For backward compatibility, the old CMake locations (`/opt/rocm-xxx/<component>/lib/cmake`)
consist of a soft link to the new CMake config.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/cmake/hip/
total 0
lrwxrwxrwx 1 root root 42 May 10 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```

#### ROCm support for Code Object V3 deprecated

Support for Code Object v3 is deprecated and will be removed in a future release.

#### Comgr V3.0 changes

The following APIs and macros have been marked as deprecated. These are expected to be removed in
a future ROCm release and coincides with the release of Comgr v3.0.

##### API changes

* `amd_comgr_action_info_set_options()`
* `amd_comgr_action_info_get_options()`

##### Actions and data types

* `AMD_COMGR_ACTION_ADD_DEVICE_LIBRARIES`
* `AMD_COMGR_ACTION_COMPILE_SOURCE_TO_FATBIN`

For replacements, see the `AMD_COMGR_ACTION_INFO_GET`/`SET_OPTION_LIST APIs`, and the
`AMD_COMGR_ACTION_COMPILE_SOURCE_(WITH_DEVICE_LIBS)_TO_BC` macros.

#### Deprecated environment variables

The following environment variables are removed in this ROCm release:

* `GPU_MAX_COMMAND_QUEUES`
* `GPU_MAX_WORKGROUP_SIZE_2D_X`
* `GPU_MAX_WORKGROUP_SIZE_2D_Y`
* `GPU_MAX_WORKGROUP_SIZE_3D_X`
* `GPU_MAX_WORKGROUP_SIZE_3D_Y`
* `GPU_MAX_WORKGROUP_SIZE_3D_Z`
* `GPU_BLIT_ENGINE_TYPE`
* `GPU_USE_SYNC_OBJECTS`
* `AMD_OCL_SC_LIB`
* `AMD_OCL_ENABLE_MESSAGE_BOX`
* `GPU_FORCE_64BIT_PTR`
* `GPU_FORCE_OCL20_32BIT`
* `GPU_RAW_TIMESTAMP`
* `GPU_SELECT_COMPUTE_RINGS_ID`
* `GPU_USE_SINGLE_SCRATCH`
* `GPU_ENABLE_LARGE_ALLOCATION`
* `HSA_LOCAL_MEMORY_ENABLE`
* `HSA_ENABLE_COARSE_GRAIN_SVM`
* `GPU_IFH_MODE`
* `OCL_SYSMEM_REQUIREMENT`
* `OCL_CODE_CACHE_ENABLE`
* `OCL_CODE_CACHE_RESET`

### Known issues in this release

The following are the known issues in this release.

#### `DISTRIBUTED`/`TEST_DISTRIBUTED_SPAWN` fails

When user applications call `ncclCommAbort` to destruct communicators and then create new
communicators repeatedly, subsequent communicators may fail to initialize.

This issue is under investigation and will be resolved in a future release.

### Library changes in ROCm 5.5.0

| Library | Version |
|---------|---------|
| AMDMIGraphX | [2.5](https://github.com/ROCm/AMDMIGraphX/releases/tag/rocm-5.5.0) |
| hipBLAS | 0.53.0 ⇒ [0.54.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.5.0) |
| hipBLASLt | [0.1.0](https://github.com/ROCm/hipBLASLt/releases/tag/rocm-5.5.0) |
| hipCUB | 2.13.0 ⇒ [2.13.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.5.0) |
| hipFFT | 1.0.10 ⇒ [1.0.11](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.5.0) |
| hipRAND | [2.10.16](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.5.0) |
| hipSOLVER | 1.6.0 ⇒ [1.7.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.5.0) |
| hipSPARSE | 2.3.3 ⇒ [2.3.5](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.5.0) |
| MIOpen | [2.19.0](https://github.com/ROCm/MIOpen/releases/tag/rocm-5.5.0) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.5.0) |
| rccl | 2.13.4 ⇒ [2.15.5](https://github.com/ROCm/rccl/releases/tag/rocm-5.5.0) |
| rocALUTION | 2.1.3 ⇒ [2.1.8](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.5.0) |
| rocBLAS | 2.46.0 ⇒ [2.47.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.5.0) |
| rocFFT | 1.0.21 ⇒ [1.0.22](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.5.0) |
| rocm-cmake | 0.8.0 ⇒ [0.8.1](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.5.0) |
| rocPRIM | 2.12.0 ⇒ [2.13.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.5.0) |
| rocRAND | 2.10.16 ⇒ [2.10.17](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.5.0) |
| rocSOLVER | 3.20.0 ⇒ [3.21.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.5.0) |
| rocSPARSE | 2.4.0 ⇒ [2.5.1](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.5.0) |
| rocThrust | [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.5.0) |
| rocWMMA | 0.9 ⇒ [1.0](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.5.0) |
| Tensile | 4.35.0 ⇒ [4.36.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.5.0) |

#### AMDMIGraphX 2.5

MIGraphX 2.5 for ROCm 5.5.0

##### Added

- Y-Model feature to store tuning information with the optimized model
- Added Python 3.10 bindings
- Accuracy checker tool based on ONNX Runtime
- ONNX Operators parse_split, and Trilu
- Build support for ROCm MLIR
- Added migraphx-driver flag to print optimizations in python (--python)
- Added JIT implementation of the Gather and Pad operator which results in better handling of larger tensor sizes.

##### Optimizations

- Improved performance of Transformer based models
- Improved performance of the Pad, Concat, Gather, and Pointwise operators
- Improved onnx/pb file loading speed
- Added general optimize pass which runs several passes such as simplify_reshapes/algebra and DCE in loop.

##### Fixed

- Improved parsing Tensorflow Protobuf files
- Resolved various accuracy issues with some onnx models
- Resolved a gcc-12 issue with mivisionx
- Improved support for larger sized models and batches
- Use --offload-arch instead of --cuda-gpu-arch for the HIP compiler
- Changes inside JIT to use float accumulator for large reduce ops of half type to avoid overflow.
- Changes inside JIT to temporarily use cosine to compute sine function.

##### Changed

- Changed version/location of 3rd party build dependencies to pick up fixes

#### hipBLAS 0.54.0

hipBLAS 0.54.0 for ROCm 5.5.0

##### Added

- added option to opt-in to use __half for hipblasHalf type in the API for c++ users who define HIPBLAS_USE_HIP_HALF
- added scripts to plot performance for multiple functions
- data driven hipblas-bench and hipblas-test execution via external yaml format data files
- client smoke test added for quick validation using command hipblas-test --yaml hipblas_smoke.yaml

##### Fixed

- fixed datatype conversion functions to support more rocBLAS/cuBLAS datatypes
- fixed geqrf to return successfully when nullptrs are passed in with n == 0 || m == 0
- fixed getrs to return successfully when given nullptrs with corresponding size = 0
- fixed getrs to give info = -1 when transpose is not an expected type
- fixed gels to return successfully when given nullptrs with corresponding size = 0
- fixed gels to give info = -1 when transpose is not in (&#39;N&#39;, &#39;T&#39;) for real cases or not in (&#39;N&#39;, &#39;C&#39;) for complex cases

##### Changed

- changed reference code for Windows to OpenBLAS
- hipblas client executables all now begin with hipblas- prefix

#### hipBLASLt 0.1.0

hipBLASLt 0.1.0 for ROCm 5.5.0

##### Added

- Enable hipBLASLt APIs
- Support gfx90a
- Support problem type: fp32, fp16, bf16
- Support activation: relu, gelu
- Support bias vector
- Support Scale D vector
- Integreate with tensilelite kernel generator
- Add Gtest: hipblaslt-test
- Add full function tool: hipblaslt-bench
- Add sample app: example_hipblaslt_preference

##### Optimizations

- Gridbase solution search algorithm for untuned size
- Tune 10k sizes for each problem type

#### hipCUB 2.13.1

hipCUB 2.13.1 for ROCm 5.5.0

##### Added

- Benchmarks for `BlockShuffle`, `BlockLoad`, and `BlockStore`.

##### Changed

- CUB backend references CUB and Thrust version 1.17.2.
- Improved benchmark coverage of `BlockScan` by adding `ExclusiveScan`, benchmark coverage of `BlockRadixSort` by adding `SortBlockedToStriped`, and benchmark coverage of `WarpScan` by adding `Broadcast`.

##### Fixed

- Windows HIP SDK support

##### Known Issues

- `BlockRadixRankMatch` is currently broken under the rocPRIM backend.
- `BlockRadixRankMatch` with a warp size that does not exactly divide the block size is broken under the CUB backend.

#### hipFFT 1.0.11

hipFFT 1.0.11 for ROCm 5.5.0

##### Fixed

- Fixed old version rocm include/lib folders not removed on upgrade.

#### hipRAND 2.10.16

hipRAND 2.10.16 for ROCm 5.5.0

##### Added

- rocRAND backend support for Sobol 64, Scrambled Sobol 32 and 64, and MT19937.
- `hiprandGenerateLongLong` for generating 64-bits uniformly distributed integers with Sobol 64 and Scrambled Sobol 64.

##### Changed

- Python 2.7 is no longer officially supported.

#### hipSOLVER 1.7.0

hipSOLVER 1.7.0 for ROCm 5.5.0

##### Added

- Added functions
  - gesvdj
    - hipsolverSgesvdj_bufferSize, hipsolverDgesvdj_bufferSize, hipsolverCgesvdj_bufferSize, hipsolverZgesvdj_bufferSize
    - hipsolverSgesvdj, hipsolverDgesvdj, hipsolverCgesvdj, hipsolverZgesvdj
  - gesvdjBatched
    - hipsolverSgesvdjBatched_bufferSize, hipsolverDgesvdjBatched_bufferSize, hipsolverCgesvdjBatched_bufferSize, hipsolverZgesvdjBatched_bufferSize
    - hipsolverSgesvdjBatched, hipsolverDgesvdjBatched, hipsolverCgesvdjBatched, hipsolverZgesvdjBatched

#### hipSPARSE 2.3.5

hipSPARSE 2.3.5 for ROCm 5.5.0

##### Improved

- Fixed an issue, where the rocm folder was not removed on upgrade of meta packages
- Fixed a compilation issue with cusparse backend
- Added more detailed messages on unit test failures due to missing input data
- Improved documentation
- Fixed a bug with deprecation messages when using gcc9 (Thanks @Maetveis)

#### MIOpen 2.19.0

MIOpen 2.19.0 for ROCm 5.5.0

##### Added

- ROCm 5.5 support for gfx1101 (Navi32)

##### Changed

- Tuning results for MLIR on ROCm 5.5
- Bumping MLIR commit to 5.5.0 release tag

##### Fixed

- Fix 3d convolution Host API bug
- [HOTFIX][MI200][FP16] Disabled ConvHipImplicitGemmBwdXdlops when FP16_ALT is required.

#### rccl 2.15.5

RCCL 2.15.5 for ROCm 5.5.0

##### Changed

- Compatibility with NCCL 2.15.5
- Unit test executable renamed to rccl-UnitTests

##### Added

- HW-topology aware binary tree implementation
- Experimental support for MSCCL
- New unit tests for hipGraph support
- NPKit integration

##### Fixed

- rocm-smi ID conversion
- Support for HIP_VISIBLE_DEVICES for unit tests
- Support for p2p transfers to non (HIP) visible devices

##### Removed

- Removed TransferBench from tools.  Exists in standalone repo: https://github.com/ROCmSoftwarePlatform/TransferBench

#### rocALUTION 2.1.8

rocALUTION 2.1.8 for ROCm 5.5.0

##### Added

- Added build support for Navi32

##### Improved

- Fixed a typo in MPI backend
- Fixed a bug with the backend when HIP support is disabled
- Fixed a bug in SAAMG hierarchy building on HIP backend
- Improved SAAMG hierarchy build performance on HIP backend

##### Changed

- LocalVector::GetIndexValues(ValueType\*) is deprecated, use LocalVector::GetIndexValues(const LocalVector&amp;, LocalVector\*) instead
- LocalVector::SetIndexValues(const ValueType\*) is deprecated, use LocalVector::SetIndexValues(const LocalVector&amp;, const LocalVector&amp;) instead
- LocalMatrix::RSDirectInterpolation(const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*) is deprecated, use LocalMatrix::RSDirectInterpolation(const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*) instead
- LocalMatrix::RSExtPIInterpolation(const LocalVector&amp;, const LocalVector&amp;, bool, float, LocalMatrix\*, LocalMatrix\*) is deprecated, use LocalMatrix::RSExtPIInterpolation(const LocalVector&amp;, const LocalVector&amp;, bool, LocalMatrix\*) instead
- LocalMatrix::RugeStueben() is deprecated
- LocalMatrix::AMGSmoothedAggregation(ValueType, const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*, int) is deprecated, use LocalMatrix::AMGAggregation(ValueType, const LocalVector&amp;, const LocalVector&amp;, LocalMatrix\*, int) instead
- LocalMatrix::AMGAggregation(const LocalVector&amp;, LocalMatrix\*, LocalMatrix\*) is deprecated, use LocalMatrix::AMGAggregation(const LocalVector&amp;, LocalMatrix\*) instead

#### rocBLAS 2.47.0

rocBLAS 2.47.0 for ROCm 5.5.0

##### Added

- added functionality rocblas_geam_ex for matrix-matrix minimum operations
- added HIP Graph support as beta feature for rocBLAS Level 1, Level 2, and Level 3(pointer mode host) functions
- added beta features API. Exposed using compiler define ROCBLAS_BETA_FEATURES_API
- added support for vector initialization in the rocBLAS test framework with negative increments
- added windows build documentation for forthcoming support using ROCm HIP SDK
- added scripts to plot performance for multiple functions

##### Optimizations

- improved performance of Level 2 rocBLAS GEMV for float and double precision. Performance enhanced by 150-200% for certain problem sizes when (m==n) measured on a gfx90a GPU.
- improved performance of Level 2 rocBLAS GER for float, double and complex float precisions. Performance enhanced by 5-7% for certain problem sizes measured on a gfx90a GPU.
- improved performance of Level 2 rocBLAS SYMV for float and double precisions. Performance enhanced by 120-150% for certain problem sizes measured on both gfx908 and gfx90a GPUs.

##### Fixed

- fixed setting of executable mode on client script rocblas_gentest.py to avoid potential permission errors with clients rocblas-test and rocblas-bench
- fixed deprecated API compatibility with Visual Studio compiler
- fixed test framework memory exception handling for Level 2 functions when the host memory allocation exceeds the available memory

##### Changed

- install.sh internally runs rmake.py (also used on windows) and rmake.py may be used directly by developers on linux (use --help)
- rocblas client executables all now begin with rocblas- prefix

##### Removed

- install.sh removed options -o --cov as now Tensile will use the default COV format, set by cmake define Tensile_CODE_OBJECT_VERSION=default

#### rocFFT 1.0.22

rocFFT 1.0.22 for ROCm 5.5.0

##### Optimizations

- Improved performance of 1D lengths &lt; 2048 that use Bluestein&#39;s algorithm.
- Reduced time for generating code during plan creation.
- Optimized 3D R2C/C2R lengths 32, 84, 128.
- Optimized batched small 1D R2C/C2R cases.

##### Added

- Added gfx1101 to default AMDGPU_TARGETS.

##### Changed

- Moved client programs to C++17.
- Moved planar kernels and infrequently used Stockham kernels to be runtime-compiled.
- Moved transpose, real-complex, Bluestein, and Stockham kernels to library kernel cache.

##### Fixed

- Removed zero-length twiddle table allocations, which fixes errors from hipMallocManaged.
- Fixed incorrect freeing of HIP stream handles during twiddle computation when multiple devices are present.

#### rocm-cmake 0.8.1

rocm-cmake 0.8.1 for ROCm 5.5.0

##### Fixed

- ROCMInstallTargets: Added compatibility symlinks for included cmake files in `&lt;ROCM&gt;/lib/cmake/&lt;PACKAGE&gt;`.

##### Changed

- ROCMHeaderWrapper: The wrapper header deprecation message is now a deprecation warning.

#### rocPRIM 2.13.0

rocPRIM 2.13.0 for ROCm 5.5.0

##### Added

- New block level `radix_rank` primitive.
- New block level `radix_rank_match` primitive.

##### Changed

- Improved the performance of `block_radix_sort` and `device_radix_sort`.

##### Known Issues

- Disabled GPU error messages relating to incorrect warp operation usage with Navi GPUs on Windows, due to GPU printf performance issues on Windows.

##### Fixed

- Fixed benchmark build on Windows

#### rocRAND 2.10.17

rocRAND 2.10.17 for ROCm 5.5.0

##### Added

- MT19937 pseudo random number generator based on M. Matsumoto and T. Nishimura, 1998, Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator.
- New benchmark for the device API using Google Benchmark, `benchmark_rocrand_device_api`, replacing `benchmark_rocrand_kernel`. `benchmark_rocrand_kernel` is deprecated and will be removed in a future version. Likewise, `benchmark_curand_host_api` is added to replace `benchmark_curand_generate` and `benchmark_curand_device_api` is added to replace `benchmark_curand_kernel`.
- experimental HIP-CPU feature
- ThreeFry pseudorandom number generator based on Salmon et al., 2011, &#34;Parallel random numbers: as easy as 1, 2, 3&#34;.

##### Changed

- Python 2.7 is no longer officially supported.

##### Fixed

- Windows HIP SDK support

#### rocSOLVER 3.21.0

rocSOLVER 3.21.0 for ROCm 5.5.0

##### Added

- SVD for general matrices using Jacobi algorithm:
    - GESVDJ (with batched and strided\_batched versions)
- LU factorization without pivoting for block tridiagonal matrices:
    - GEBLTTRF_NPVT (with batched and strided\_batched versions)
- Linear system solver without pivoting for block tridiagonal matrices:
    - GEBLTTRS_NPVT (with batched and strided\_batched, versions)
- Product of triangular matrices
    - LAUUM
- Added experimental hipGraph support for rocSOLVER functions

##### Optimized

- Improved the performance of SYEVJ/HEEVJ.

##### Changed

- STEDC, SYEVD/HEEVD and SYGVD/HEGVD now use fully implemented Divide and Conquer approach.

##### Fixed

- SYEVJ/HEEVJ should now be invariant under matrix scaling.
- SYEVJ/HEEVJ should now properly output the eigenvalues when no sweeps are executed.
- Fixed GETF2\_NPVT and GETRF\_NPVT input data initialization in tests and benchmarks.
- Fixed rocblas missing from the dependency list of the rocsolver deb and rpm packages.

#### rocSPARSE 2.5.1

rocSPARSE 2.5.1 for ROCm 5.5.0

##### Added

- Added bsrgemm and spgemm for BSR format
- Added bsrgeam
- Added build support for Navi32
- Added experimental hipGraph support for some rocSPARSE routines
- Added csritsv, spitsv csr iterative triangular solve
- Added mixed precisions for SpMV
- Added batched SpMM for transpose A in COO format with atomic atomic algorithm

##### Improved

- Optimization to csr2bsr
- Optimization to csr2csr_compress
- Optimization to csr2coo
- Optimization to gebsr2csr
- Optimization to csr2gebsr
- Fixes to documentation
- Fixes a bug in COO SpMV gridsize
- Fixes a bug in SpMM gridsize when using very large matrices

##### Known Issues

- In csritlu0, the algorithm rocsparse_itilu0_alg_sync_split_fusion has some accuracy issues to investigate with XNACK enabled. The fallback is rocsparse_itilu0_alg_sync_split.

#### rocWMMA 1.0

rocWMMA 1.0 for ROCm 5.5.0

##### Added

- Added support for wave32 on gfx11+
- Added infrastructure changes to support hipRTC
- Added performance tracking system

##### Changed

- Modified the assignment of hardware information
- Modified the data access for unsigned datatypes
- Added library config to support multiple architectures

#### Tensile 4.36.0

Tensile 4.36.0 for ROCm 5.5.0

##### Added

- Add functions for user-driven tuning
- Add GFX11 support: HostLibraryTests yamls, rearragne FP32(C)/FP64(C) instruction order, archCaps for instruction renaming condition, adjust vgpr bank for A/B/C for optimize, separate vscnt and vmcnt, dual mac
- Add binary search for Grid-Based algorithm
- Add reject condition for (StoreCInUnroll + BufferStore=0) and (DirectToVgpr + ScheduleIterAlg&lt;3 + PrefetchGlobalRead==2)
- Add support for (DirectToLds + hgemm + NN/NT/TT) and (DirectToLds + hgemm + GlobalLoadVectorWidth &lt; 4)
- Add support for (DirectToLds + hgemm(TLU=True only) or sgemm + NumLoadsCoalesced &gt; 1)
- Add GSU SingleBuffer algorithm for HSS/BSS
- Add gfx900:xnack-, gfx1032, gfx1034, gfx1035
- Enable gfx1031 support

##### Optimizations

- Use AssertSizeLessThan for BufferStoreOffsetLimitCheck if it is smaller than MT1
- Improve InitAccVgprOpt

##### Changed

- Use global_atomic for GSU instead of flat and global_store for debug code
- Replace flat_load/store with global_load/store
- Use global_load/store for BufferLoad/Store=0 and enable scheduling
- LocalSplitU support for HGEMM+HPA when MFMA disabled
- Update Code Object Version
- Type cast local memory to COMPUTE_DATA_TYPE in LDS to avoid precision loss
- Update asm cap cache arguments
- Unify SplitGlobalRead into ThreadSeparateGlobalRead and remove SplitGlobalRead
- Change checks, error messages, assembly syntax, and coverage for DirectToLds
- Remove unused cmake file
- Clean up the LLVM dependency code
- Update ThreadSeparateGlobalRead test cases for PrefetchGlobalRead=2
- Update sgemm/hgemm test cases for DirectToLds and ThreadSepareteGlobalRead

##### Fixed

- Add build-id to header of compiled source kernels
- Fix solution index collisions
- Fix h beta vectorwidth4 correctness issue for WMMA
- Fix an error with BufferStore=0
- Fix mismatch issue with (StoreCInUnroll + PrefetchGlobalRead=2)
- Fix MoveMIoutToArch bug
- Fix flat load correctness issue on I8 and flat store correctness issue
- Fix mismatch issue with BufferLoad=0 + TailLoop for large array sizes
- Fix code generation error with BufferStore=0 and StoreCInUnrollPostLoop
- Fix issues with DirectToVgpr + ScheduleIterAlg&lt;3
- Fix mismatch issue with DGEMM TT + LocalReadVectorWidth=2
- Fix mismatch issue with PrefetchGlobalRead=2
- Fix mismatch issue with DirectToVgpr + PrefetchGlobalRead=2 + small tile size
- Fix an error with PersistentKernel=0 + PrefetchAcrossPersistent=1 + PrefetchAcrossPersistentMode=1
- Fix mismatch issue with DirectToVgpr + DirectToLds + only 1 iteration in unroll loop case
- Remove duplicate GSU kernels: for GSU = 1, GSUAlgorithm SingleBuffer and MultipleBuffer kernels are identical
- Fix for failing CI tests due to CpuThreads=0
- Fix mismatch issue with DirectToLds + PrefetchGlobalRead=2
- Remove the reject condition for ThreadSeparateGlobalRead and DirectToLds (HGEMM, SGEMM only)
- Modify reject condition for minimum lanes of ThreadSeparateGlobalRead (SGEMM or larger data type only)

-------------------

## ROCm 5.4.3
<!-- markdownlint-disable first-line-h1 -->
### Deprecations and warnings

#### HIP Perl scripts deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

##### Linux file system hierarchy standard for ROCm

ROCm packages have adopted the Linux foundation file system hierarchy standard in this release to
ensure ROCm components follow open source conventions for Linux-based distributions. While
moving to a new file system hierarchy, ROCm ensures backward compatibility with its 5.1 version or
older file system hierarchy. See below for a detailed explanation of the new file system hierarchy and
backward compatibility.

##### New file system hierarchy

The following is the new file system hierarchy:4

```text
/opt/rocm-<ver>
    | --bin
      | --All externally exposed Binaries
    | --libexec
        | --<component>
            | -- Component specific private non-ISA executables (architecture independent)
    | --include
        | -- <component>
            | --<header files>
    | --lib
        | --lib<soname>.so -> lib<soname>.so.major -> lib<soname>.so.major.minor.patch
            (public libraries linked with application)
        | --<component> (component specific private library, executable data)
        | --<cmake>
            | --components
                | --<component>.config.cmake
    | --share
        | --html/<component>/*.html
        | --info/<component>/*.[pdf, md, txt]
        | --man
        | --doc
            | --<component>
                | --<licenses>
        | --<component>
            | --<misc files> (arch independent non-executable)
            | --samples

```

:::{note}
ROCm will not support backward compatibility with the v5.1(old) file system hierarchy in its next major
release.
:::

For more information, refer to <https://refspecs.linuxfoundation.org/fhs.shtml>.

##### Backward compatibility with older file systems

ROCm has moved header files and libraries to its new location as indicated in the above structure and
included symbolic-link and wrapper header files in its old location for backward compatibility.

:::{note}
ROCm will continue supporting backward compatibility until the next major release.
:::

##### Wrapper header files

Wrapper header files are placed in the old location (`/opt/rocm-xxx/<component>/include`) with a
warning message to include files from the new location (`/opt/rocm-xxx/include`) as shown in the
example below:

```cpp
// Code snippet from hip_runtime.h
#pragma message “This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip”.
#include "hip/hip_runtime.h"
```

The wrapper header files’ backward compatibility deprecation is as follows:

* `#pragma` message announcing deprecation -- ROCm v5.2 release
* `#pragma` message changed to `#warning` -- Future release
* `#warning` changed to `#error` -- Future release
* Backward compatibility wrappers removed -- Future release

##### Library files

Library files are available in the `/opt/rocm-xxx/lib` folder. For backward compatibility, the old library
location (`/opt/rocm-xxx/<component>/lib`) has a soft link to the library at the new location.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/
total 4
drwxr-xr-x 4 root root 4096 May 12 10:45 cmake
lrwxrwxrwx 1 root root   24 May 10 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```

##### CMake config files

All CMake configuration files are available in the `/opt/rocm-xxx/lib/cmake/<component>` folder. For
backward compatibility, the old CMake locations (`/opt/rocm-xxx/<component>/lib/cmake`) consist of
a soft link to the new CMake config.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/cmake/hip/
total 0
lrwxrwxrwx 1 root root 42 May 10 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```

### Defect fixes

#### Compiler improvements

In ROCm v5.4.3, improvements to the compiler address errors with the following signatures:

* "error: unhandled SGPR spill to memory"
* "cannot scavenge register without an emergency spill slot!"
* "error: ran out of registers during register allocation"

### Known issues

#### Compiler option error at runtime

Some users may encounter a “Cannot find Symbol” error at runtime when using `-save-temps`. While
most `-save-temps` use cases work correctly, this error may appear occasionally.

This issue is under investigation, and the known workaround is not to use `-save-temps` when the error
appears.

### Library changes in ROCm 5.4.3

| Library | Version |
|---------|---------|
| hipBLAS | [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.4.3) |
| hipCUB | [2.13.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.4.3) |
| hipFFT | [1.0.10](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.4.3) |
| hipSOLVER | [1.6.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.4.3) |
| hipSPARSE | [2.3.3](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.4.3) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.4.3) |
| rccl | [2.13.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.4.3) |
| rocALUTION | [2.1.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.4.3) |
| rocBLAS | [2.46.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.4.3) |
| rocFFT | 1.0.20 ⇒ [1.0.21](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.4.3) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.4.3) |
| rocPRIM | [2.12.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.4.3) |
| rocRAND | [2.10.16](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.4.3) |
| rocSOLVER | [3.20.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.4.3) |
| rocSPARSE | [2.4.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.4.3) |
| rocThrust | [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.4.3) |
| rocWMMA | [0.9](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.4.3) |
| Tensile | [4.35.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.4.3) |

#### rocFFT 1.0.21

rocFFT 1.0.21 for ROCm 5.4.3

##### Fixed

- Removed source directory from rocm_install_targets call to prevent installation of rocfft.h in an unintended location.

-------------------

## ROCm 5.4.2
<!-- markdownlint-disable first-line-h1 -->
### Deprecations and warnings

#### HIP Perl scripts deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available  before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

#### `hipcc` options deprecation

The following hipcc options are being deprecated and will be removed in a future release:

* The `--amdgpu-target` option is being deprecated, and user must use the `–offload-arch` option to
  specify the GPU architecture.
* The `--amdhsa-code-object-version` option is being deprecated.  Users can use the Clang/LLVM
  option `-mllvm -mcode-object-version` to debug issues related to code object versions.
* The `--hipcc-func-supp`/`--hipcc-no-func-supp` options are being deprecated, as the function calls
  are already supported in production on AMD GPUs.

### Known issues

Under certain circumstances typified by high register pressure, users may encounter a compiler abort
with one of the following error messages:

* > `error: unhandled SGPR spill to memory`

* > `cannot scavenge register without an emergency spill slot!`

* > `error: ran out of registers during register allocation`

This is a known issue and will be fixed in a future release.

### Library changes in ROCm 5.4.2

| Library | Version |
|---------|---------|
| hipBLAS | [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.4.2) |
| hipCUB | [2.13.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.4.2) |
| hipFFT | [1.0.10](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.4.2) |
| hipSOLVER | [1.6.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.4.2) |
| hipSPARSE | [2.3.3](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.4.2) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.4.2) |
| rccl | [2.13.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.4.2) |
| rocALUTION | [2.1.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.4.2) |
| rocBLAS | [2.46.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.4.2) |
| rocFFT | [1.0.20](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.4.2) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.4.2) |
| rocPRIM | [2.12.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.4.2) |
| rocRAND | [2.10.16](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.4.2) |
| rocSOLVER | [3.20.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.4.2) |
| rocSPARSE | [2.4.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.4.2) |
| rocThrust | [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.4.2) |
| rocWMMA | [0.9](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.4.2) |
| Tensile | [4.35.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.4.2) |

-------------------

## ROCm 5.4.1
<!-- markdownlint-disable first-line-h1 -->
### What's new in this release

#### HIP enhancements

The ROCm v5.4.1 release consists of the following new HIP API:

##### New HIP API - hipLaunchHostFunc

The following new HIP API is introduced in the ROCm v5.4.1 release.

:::{note}
This is a pre-official version (beta) release of the new APIs.
:::

```cpp
hipError_t hipLaunchHostFunc(hipStream_t stream, hipHostFn_t fn, void* userData);
```

This swaps the stream capture mode of a thread.

```text
@param [in] mode - Pointer to mode value to swap with the current mode
```

This parameter returns `#hipSuccess`, `#hipErrorInvalidValue`.

For more information, refer to the HIP API documentation at
/bundle/HIP_API_Guide/page/modules.html.

### Deprecations and warnings

#### HIP Perl scripts deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available  before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

### IFWI fixes

These defects were identified and documented as known issues in previous ROCm releases and are
fixed in this release.

#### AMD Instinct™ MI200 firmware IFWI maintenance update #3

This IFWI release fixes the following issue in AMD Instinct™ MI210/MI250 Accelerators.

After prolonged periods of operation, certain MI200 Instinct™ Accelerators may perform in a degraded
way resulting in application failures.

In this package, AMD delivers a new firmware version for MI200 GPU accelerators and a firmware
installation tool – AMD FW FLASH 1.2.

| GPU   | Productionp part number | SKU | IFWI name |
|-------|------------|--------|---------------|
| MI210 | 113-D673XX | D67302 | D6730200V.110 |
| MI210 | 113-D673XX | D67301 | D6730100V.073 |
| MI250 | 113-D652XX | D65209 | D6520900.073  |
| MI250 | 113-D652XX | D65210 | D6521000.073  |

Instructions on how to download and apply MI200 maintenance updates are available at:

<https://www.amd.com/en/support/server-accelerators/amd-instinct/amd-instinct-mi-series/amd-instinct-mi210>

#### AMD Instinct™ MI200 SRIOV virtualization support

Maintenance update #3, combined with ROCm 5.4.1, now provides SRIOV virtualization support for all
AMD Instinct™ MI200 devices.

### Library changes in ROCm 5.4.1

| Library | Version |
|---------|---------|
| hipBLAS | [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.4.1) |
| hipCUB | [2.13.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.4.1) |
| hipFFT | [1.0.10](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.4.1) |
| hipSOLVER | [1.6.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.4.1) |
| hipSPARSE | [2.3.3](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.4.1) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.4.1) |
| rccl | [2.13.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.4.1) |
| rocALUTION | [2.1.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.4.1) |
| rocBLAS | [2.46.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.4.1) |
| rocFFT | 1.0.19 ⇒ [1.0.20](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.4.1) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.4.1) |
| rocPRIM | [2.12.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.4.1) |
| rocRAND | [2.10.16](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.4.1) |
| rocSOLVER | [3.20.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.4.1) |
| rocSPARSE | [2.4.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.4.1) |
| rocThrust | [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.4.1) |
| rocWMMA | [0.9](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.4.1) |
| Tensile | [4.35.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.4.1) |

#### rocFFT 1.0.20

rocFFT 1.0.20 for ROCm 5.4.1

##### Fixed

- Fixed incorrect results on strided large 1D FFTs where batch size does not equal the stride.

-------------------

## ROCm 5.4.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->
### What's new in this release

#### HIP enhancements

The ROCm v5.4 release consists of the following HIP enhancements:

##### Support for wall_clock64

A new timer function wall_clock64() is supported, which returns wall clock count at a constant
frequency on the device.

```cpp
long long int wall_clock64();
```

It returns wall clock count at a constant frequency on the device, which can be queried via HIP API with
the hipDeviceAttributeWallClockRate attribute of the device in the HIP application code.

Example:

```cpp
int wallClkRate = 0; //in kilohertz
+HIPCHECK(hipDeviceGetAttribute(&wallClkRate, hipDeviceAttributeWallClockRate, deviceId));
```

Where hipDeviceAttributeWallClockRate is a device attribute.

:::{note}
The wall clock frequency is a per-device attribute.
:::

##### New registry added for GPU_MAX_HW_QUEUES

The GPU_MAX_HW_QUEUES registry defines the maximum number of independent hardware queues
allocated per process per device.

The environment variable controls how many independent hardware queues HIP runtime can create
per process, per device. If the application allocates more HIP streams than this number, then the HIP
runtime reuses the same hardware queues for the new streams in a round-robin manner.

:::{note}
This maximum number does not apply to hardware queues created for CU-masked HIP streams or
cooperative queues for HIP Cooperative Groups (there is only one queue per device).
:::

For more details, refer to the HIP Programming Guide.

#### New HIP APIs in this release

The following new HIP APIs are available in the ROCm v5.4 release.

:::{note}
This is a pre-official version (beta) release of the new APIs.
:::

##### Error handling

```cpp
hipError_t hipDrvGetErrorName(hipError_t hipError, const char** errorString);
```

This returns HIP errors in the text string format.

```cpp
hipError_t hipDrvGetErrorString(hipError_t hipError, const char** errorString);
```

This returns text string messages with more details about the error.

For more information, refer to the HIP API Guide.

##### HIP tests source separation

With ROCm v5.4, a separate GitHub project is created at

<https://github.com/ROCm/hip-tests>

This contains HIP catch2 tests and samples, and new tests will continue to develop.

In future ROCm releases, catch2 tests and samples will be removed from the HIP project.

### OpenMP enhancements

This release consists of the following OpenMP enhancements:

* Enable new device RTL in libomptarget as default.
* New flag `-fopenmp-target-fast` to imply `-fopenmp-target-ignore-env-vars -fopenmp-assume-no-thread-state -fopenmp-assume-no-nested-parallelism`.
* Support for the collapse clause and non-unit stride in cases where the no-loop specialized kernel is
  generated.
* Initial implementation of optimized cross-team sum reduction for float and double type scalars.
* Pool-based optimization in the OpenMP runtime to reduce locking during data transfer.

### Deprecations and warnings

#### HIP Perl scripts deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

##### Linux file system hierarchy standard for ROCm

ROCm packages have adopted the Linux foundation file system hierarchy standard in this release to
ensure ROCm components follow open source conventions for Linux-based distributions. While
moving to a new file system hierarchy, ROCm ensures backward compatibility with its 5.1 version or
older file system hierarchy. See below for a detailed explanation of the new file system hierarchy and
backward compatibility.

##### New file system hierarchy

The following is the new file system hierarchy:

```text
/opt/rocm-<ver>
    | --bin
      | --All externally exposed Binaries
    | --libexec
        | --<component>
            | -- Component specific private non-ISA executables (architecture independent)
    | --include
        | -- <component>
            | --<header files>
    | --lib
        | --lib<soname>.so -> lib<soname>.so.major -> lib<soname>.so.major.minor.patch
            (public libraries linked with application)
        | --<component> (component specific private library, executable data)
        | --<cmake>
            | --components
                | --<component>.config.cmake
    | --share
        | --html/<component>/*.html
        | --info/<component>/*.[pdf, md, txt]
        | --man
        | --doc
            | --<component>
                | --<licenses>
        | --<component>
            | --<misc files> (arch independent non-executable)
            | --samples

```

:::{note}
ROCm will not support backward compatibility with the v5.1(old) file system hierarchy in its next major
release.
:::

For more information, refer to <https://refspecs.linuxfoundation.org/fhs.shtml>.

##### Backward compatibility with older file systems

ROCm has moved header files and libraries to its new location as indicated in the above structure and
included symbolic-link and wrapper header files in its old location for backward compatibility.

:::{note}
ROCm will continue supporting backward compatibility until the next major release.
:::

##### Wrapper header files

Wrapper header files are placed in the old location (`/opt/rocm-xxx/<component>/include`) with a
warning message to include files from the new location (`/opt/rocm-xxx/include`) as shown in the
example below:

```cpp
// Code snippet from hip_runtime.h
#pragma message “This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip”.
#include "hip/hip_runtime.h"
```

The wrapper header files’ backward compatibility deprecation is as follows:

* `#pragma` message announcing deprecation -- ROCm v5.2 release
* `#pragma` message changed to `#warning` -- Future release
* `#warning` changed to `#error` -- Future release
* Backward compatibility wrappers removed -- Future release

##### Library files

Library files are available in the `/opt/rocm-xxx/lib` folder. For backward compatibility, the old library
location (`/opt/rocm-xxx/<component>/lib`) has a soft link to the library at the new location.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/
total 4
drwxr-xr-x 4 root root 4096 May 12 10:45 cmake
lrwxrwxrwx 1 root root   24 May 10 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```

##### CMake config files

All CMake configuration files are available in the `/opt/rocm-xxx/lib/cmake/<component>` folder. For
backward compatibility, the old CMake locations (`/opt/rocm-xxx/<component>/lib/cmake`) consist of
a soft link to the new CMake config.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/cmake/hip/
total 0
lrwxrwxrwx 1 root root 42 May 10 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```

### Defect fixes

The following defects are fixed in this release.

These defects were identified and documented as known issues in previous ROCm releases and are
fixed in this release.

#### Memory allocated using hipHostMalloc() with flags didn't exhibit fine-grain behavior

##### Issue

The test was incorrectly using the `hipDeviceAttributePageableMemoryAccess` device attribute to
determine coherent support.

##### Fix

`hipHostMalloc()` allocates memory with fine-grained access by default when the environment variable
`HIP_HOST_COHERENT=1` is used.

For more information, refer to {doc}`hip:doxygen/html/index`.


#### SoftHang with `hipStreamWithCUMask` test on AMD Instinct™

##### Issue

On GFX10 GPUs, kernel execution hangs when it is launched on streams created using
`hipStreamWithCUMask`.

##### Fix

On GFX10 GPUs, each workgroup processor encompasses two compute units, and the compute units
must be enabled as a pair. The `hipStreamWithCUMask` API unit test cases are updated to set compute
unit mask (cuMask) in pairs for GFX10 GPUs.

#### ROCm tools GPU IDs

The HIP language device IDs are not the same as the GPU IDs reported by the tools. GPU IDs are
globally unique and guaranteed to be consistent across APIs and processes.

GPU IDs reported by ROCTracer and ROCProfiler or ROCm Tools are HSA Driver Node ID of that GPU,
as it is a unique ID for that device in that particular node.

### Library changes in ROCm 5.4.0

| Library | Version |
|---------|---------|
| hipBLAS | 0.52.0 ⇒ [0.53.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.4.0) |
| hipCUB | 2.12.0 ⇒ [2.13.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.4.0) |
| hipFFT | 1.0.9 ⇒ [1.0.10](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.4.0) |
| hipSOLVER | 1.5.0 ⇒ [1.6.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.4.0) |
| hipSPARSE | 2.3.1 ⇒ [2.3.3](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.4.0) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.4.0) |
| rccl | 2.12.10 ⇒ [2.13.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.4.0) |
| rocALUTION | 2.1.0 ⇒ [2.1.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.4.0) |
| rocBLAS | 2.45.0 ⇒ [2.46.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.4.0) |
| rocFFT | 1.0.18 ⇒ [1.0.19](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.4.0) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.4.0) |
| rocPRIM | 2.11.0 ⇒ [2.12.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.4.0) |
| rocRAND | 2.10.15 ⇒ [2.10.16](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.4.0) |
| rocSOLVER | 3.19.0 ⇒ [3.20.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.4.0) |
| rocSPARSE | 2.2.0 ⇒ [2.4.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.4.0) |
| rocThrust | 2.16.0 ⇒ [2.17.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.4.0) |
| rocWMMA | 0.8 ⇒ [0.9](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.4.0) |
| Tensile | 4.34.0 ⇒ [4.35.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.4.0) |

#### hipBLAS 0.53.0

hipBLAS 0.53.0 for ROCm 5.4.0

##### Added

- Allow for selection of int8 datatype
- Added support for hipblasXgels and hipblasXgelsStridedBatched operations (with s,d,c,z precisions),
  only supported with rocBLAS backend
- Added support for hipblasXgelsBatched operations (with s,d,c,z precisions)

#### hipCUB 2.13.0

hipCUB 2.13.0 for ROCm 5.4.0

##### Added

- CMake functionality to improve build parallelism of the test suite that splits compilation units by
function or by parameters.
- New overload for `BlockAdjacentDifference::SubtractLeftPartialTile` that takes a predecessor item.

##### Changed

- Improved build parallelism of the test suite by splitting up large compilation units for `DeviceRadixSort`,
`DeviceSegmentedRadixSort` and `DeviceSegmentedSort`.
- CUB backend references CUB and thrust version 1.17.1.

#### hipFFT 1.0.10

hipFFT 1.0.10 for ROCm 5.4.0

##### Added

- Added hipfftExtPlanScaleFactor API to efficiently multiply each output element of a FFT by a given scaling factor.  Result scaling must be supported in the backend FFT library.

##### Changed

- When hipFFT is built against the rocFFT backend, rocFFT 1.0.19 or higher is now required.

#### hipSOLVER 1.6.0

hipSOLVER 1.6.0 for ROCm 5.4.0

##### Added

- Added compatibility-only functions
  - gesvdaStridedBatched
    - hipsolverDnSgesvdaStridedBatched_bufferSize, hipsolverDnDgesvdaStridedBatched_bufferSize, hipsolverDnCgesvdaStridedBatched_bufferSize, hipsolverDnZgesvdaStridedBatched_bufferSize
    - hipsolverDnSgesvdaStridedBatched, hipsolverDnDgesvdaStridedBatched, hipsolverDnCgesvdaStridedBatched, hipsolverDnZgesvdaStridedBatched

#### hipSPARSE 2.3.3

hipSPARSE 2.3.3 for ROCm 5.4.0

##### Added

- Added hipsparseCsr2cscEx2_bufferSize and hipsparseCsr2cscEx2 routines

##### Changed

- HIPSPARSE_ORDER_COLUMN has been renamed to HIPSPARSE_ORDER_COL to match cusparse

#### rccl 2.13.4

RCCL 2.13.4 for ROCm 5.4.0

##### Changed

- Compatibility with NCCL 2.13.4
- Improvements to RCCL when running with hipGraphs
- RCCL_ENABLE_HIPGRAPH environment variable is no longer necessary to enable hipGraph support
- Minor latency improvements

##### Fixed

- Resolved potential memory access error due to asynchronous memset

#### rocALUTION 2.1.3

rocALUTION 2.1.3 for ROCm 5.4.0

##### Added

- Added build support for Navi31 and Navi33
- Added support for non-squared global matrices

##### Improved

- Fixed a memory leak in MatrixMult on HIP backend
- Global structures can now be used with a single process

##### Changed

- Switched GTest death test style to &#39;threadsafe&#39;
- GlobalVector::GetGhostSize() is deprecated and will be removed
- ParallelManager::GetGlobalSize(), ParallelManager::GetLocalSize(), ParallelManager::SetGlobalSize() and ParallelManager::SetLocalSize() are deprecated and will be removed
- Vector::GetGhostSize() is deprecated and will be removed
- Multigrid::SetOperatorFormat(unsigned int) is deprecated and will be removed, use Multigrid::SetOperatorFormat(unsigned int, int) instead
- RugeStuebenAMG::SetCouplingStrength(ValueType) is deprecated and will be removed, use SetStrengthThreshold(float) instead

#### rocBLAS 2.46.0

rocBLAS 2.46.0 for ROCm 5.4.0

##### Added

- client smoke test dataset added for quick validation using command rocblas-test --yaml rocblas_smoke.yaml
- Added stream order device memory allocation as a non-default beta option.

##### Optimized

- Improved trsm performance for small sizes by using a substitution method technique
- Improved syr2k and her2k performance significantly by using a block-recursive algorithm

##### Changed

- Level 2, Level 1, and Extension functions: argument checking when the handle is set to rocblas_pointer_mode_host now returns the status of rocblas_status_invalid_pointer only for pointers that must be dereferenced based on the alpha and beta argument values.  With handle mode rocblas_pointer_mode_device only pointers that are always dereferenced regardless of alpha and beta values are checked and so may lead to a return status of rocblas_status_invalid_pointer.   This improves consistency with legacy BLAS behaviour.
- Add variable to turn on/off ieee16/ieee32 tests for mixed precision gemm
- Allow hipBLAS to select int8 datatype
- Disallow B == C &amp;&amp; ldb != ldc in rocblas_xtrmm_outofplace

##### Fixed

- FORTRAN interfaces generalized for FORTRAN compilers other than gfortran
- fix for trsm_strided_batched rocblas-bench performance gathering
- Fix for rocm-smi path in commandrunner.py script to match ROCm 5.2 and above

#### rocFFT 1.0.19

rocFFT 1.0.19 for ROCm 5.4.0

##### Optimizations

- Optimized some strided large 1D plans.

##### Added

- Added rocfft_plan_description_set_scale_factor API to efficiently multiply each output element of a FFT by a given scaling factor.
- Created a rocfft_kernel_cache.db file next to the installed library. SBCC kernels are moved to this file when built with the library, and are runtime-compiled for new GPU architectures.
- Added gfx1100 and gfx1102 to default AMDGPU_TARGETS.

##### Changed

- Moved runtime compilation cache to in-memory by default.  A default on-disk cache can encounter contention problems
on multi-node clusters with a shared filesystem.  rocFFT can still be told to use an on-disk cache by setting the
ROCFFT_RTC_CACHE_PATH environment variable.

#### rocPRIM 2.12.0

rocPRIM 2.12.0 for ROCm 5.4.0

##### Changed

- `device_partition`, `device_unique`, and `device_reduce_by_key` now support problem
  sizes larger than 2^32 items.

##### Removed

- `block_sort::sort()` overload for keys and values with a dynamic size. This overload was documented but the
  implementation is missing. To avoid further confusion the documentation is removed until a decision is made on
  implementing the function.

##### Fixed

- Fixed the compilation failure in `device_merge` if the two key iterators don&#39;t match.

#### rocRAND 2.10.16

rocRAND 2.10.16 for ROCm 5.4.0

##### Added

- MRG31K3P pseudorandom number generator based on L&#39;Ecuyer and Touzin, 2000, &#34;Fast combined multiple recursive generators with multipliers of the form a = ±2q ±2r&#34;.
- LFSR113 pseudorandom number generator based on L&#39;Ecuyer, 1999, &#34;Tables of maximally equidistributed combined LFSR generators&#34;.
- SCRAMBLED_SOBOL32 and SCRAMBLED_SOBOL64 quasirandom number generators. The Scrambled Sobol sequences are generated by scrambling the output of a Sobol sequence.

##### Changed

- The `mrg_&lt;distribution&gt;_distribution` structures, which provided numbers based on MRG32K3A, are now replaced by `mrg_engine_&lt;distribution&gt;_distribution`, where `&lt;distribution&gt;` is `log_normal`, `normal`, `poisson`, or `uniform`. These structures provide numbers for MRG31K3P (with template type `rocrand_state_mrg31k3p`) and MRG32K3A (with template type `rocrand_state_mrg32k3a`).

##### Fixed

- Sobol64 now returns 64 bits random numbers, instead of 32 bits random numbers. As a result, the performance of this generator has regressed.
- Fixed a bug that prevented compiling code in C++ mode (with a host compiler) when it included the rocRAND headers on Windows.

#### rocSOLVER 3.20.0

rocSOLVER 3.20.0 for ROCm 5.4.0

##### Added

- Partial SVD for bidiagonal matrices:
    - BDSVDX
- Partial SVD for general matrices:
    - GESVDX (with batched and strided\_batched versions)

##### Changed

- Changed `ROCSOLVER_EMBED_FMT` default to `ON` for users building directly with CMake.
  This matches the existing default when building with install.sh or rmake.py.

#### rocSPARSE 2.4.0

rocSPARSE 2.4.0 for ROCm 5.4.0

##### Added

- Added rocsparse_spmv_ex routine
- Added rocsparse_bsrmv_ex_analysis and rocsparse_bsrmv_ex routines
- Added csritilu0 routine
- Added build support for Navi31 and Navi 33

##### Improved

- Optimization to segmented algorithm for COO SpMV by performing analysis
- Improve performance when generating random matrices.
- Fixed bug in ellmv
- Optimized bsr2csr routine
- Fixed integer overflow bugs

#### rocThrust 2.17.0

rocThrust 2.17.0 for ROCm 5.4.0

##### Added

- Updated to match upstream Thrust 1.17.0

#### rocWMMA 0.9

rocWMMA 0.9 for ROCm 5.4.0

##### Added

- Added gemm driver APIs for flow control builtins
- Added benchmark logging systems
- Restructured tests to follow naming convention. Added macros for test generation

##### Changed

- Changed CMake to accomodate the modified test infrastructure
- Fine tuned the multi-block kernels with and without lds
- Adjusted Maximum Vector Width to dWordx4 Width
- Updated Efficiencies to display as whole number percentages
- Updated throughput from GFlops/s to TFlops/s
- Reset the ad-hoc tests to use smaller sizes
- Modified the output validation to use CPU-based implementation against rocWMMA
- Modified the extended vector test to return error codes for memory allocation failures

#### Tensile 4.35.0

Tensile 4.35.0 for ROCm 5.4.0

##### Added

- Async DMA support for Transpose Data Layout (ThreadSeparateGlobalReadA/B)
- Option to output library logic in dictionary format
- No solution found error message for benchmarking client
- Exact K check for StoreCInUnrollExact
- Support for CGEMM + MIArchVgpr
- client-path parameter for using prebuilt client
- CleanUpBuildFiles global parameter
- Debug flag for printing library logic index of winning solution
- NumWarmups global parameter for benchmarking
- Windows support for benchmarking client
- DirectToVgpr support for CGEMM
- TensileLibLogicToYaml for creating tuning configs from library logic solutions

##### Optimizations

- Put beta code and store separately if StoreCInUnroll = x4 store
- Improved performance for StoreCInUnroll + b128 store

##### Changed

- Re-enable HardwareMonitor for gfx90a
- Decision trees use MLFeatures instead of Properties

##### Fixed

- Reject DirectToVgpr + MatrixInstBM/BN &gt; 1
- Fix benchmark timings when using warmups and/or validation
- Fix mismatch issue with DirectToVgprB + VectorWidth &gt; 1
- Fix mismatch issue with DirectToLds + NumLoadsCoalesced &gt; 1 + TailLoop
- Fix incorrect reject condition for DirectToVgpr
- Fix reject condition for DirectToVgpr + MIWaveTile &lt; VectorWidth
- Fix incorrect instruction generation with StoreCInUnroll

-------------------

## ROCm 5.3.3
<!-- markdownlint-disable first-line-h1 -->
### Defect fixes

#### Issue with rocTHRUST and rocPRIM libraries

There was a known issue with rocTHRUST and rocPRIM libraries supporting iterator and types in ROCm
v5.3.x releases.

* `thrust::merge` no longer correctly supports different iterator types for `keys_input1` and
  `keys_input2`.
* `rocprim::device_merge` no longer correctly supports using different types for `keys_input1` and
  `keys_input2`.

This issue is resolved with the following fixes to compilation failures:

* rocPRIM: in device_merge if the two key iterators do not match.
* rocTHRUST: in thrust::merge if the two key iterators do not match.

### Library changes in ROCm 5.3.3

| Library | Version |
|---------|---------|
| hipBLAS | [0.52.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.3.3) |
| hipCUB | [2.12.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.3.3) |
| hipFFT | [1.0.9](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.3.3) |
| hipSOLVER | [1.5.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.3.3) |
| hipSPARSE | [2.3.1](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.3.3) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.3.3) |
| rccl | [2.12.10](https://github.com/ROCm/rccl/releases/tag/rocm-5.3.3) |
| rocALUTION | [2.1.0](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.3.3) |
| rocBLAS | [2.45.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.3.3) |
| rocFFT | [1.0.18](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.3.3) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.3.3) |
| rocPRIM | [2.11.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.3.3) |
| rocRAND | [2.10.15](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.3.3) |
| rocSOLVER | [3.19.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.3.3) |
| rocSPARSE | [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.3.3) |
| rocThrust | [2.16.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.3.3) |
| rocWMMA | [0.8](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.3.3) |
| Tensile | [4.34.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.3.3) |

-------------------

## ROCm 5.3.2
<!-- markdownlint-disable first-line-h1 -->
### Defect fixes

The following known issues in ROCm v5.3.2 are fixed in this release.

#### Peer-to-peer DMA mapping errors with SLES and RHEL

Peer-to-Peer Direct Memory Access (DMA) mapping errors on Dell systems (R7525 and R750XA) with
SLES 15 SP3/SP4 and RHEL 9.0 are fixed in this release.

Previously, running `rocminfo` resulted in Peer-to-Peer DMA mapping errors.

#### RCCL tuning table

The RCCL tuning table is updated for supported platforms.

#### SGEMM (F32 GEMM) routines in rocBLAS

Functional correctness failures in SGEMM (F32 GEMM) routines in rocBLAS for certain problem sizes
and ranges are fixed in this release.

### Known issues

This section consists of known issues in this release.

#### AMD Instinct™ MI200 SRIOV virtualization issue

There is a known issue in this ROCm v5.3 release with all AMD Instinct™ MI200 devices running within
a virtual function (VF) under SRIOV virtualization. This issue will likely impact the functionality of
SRIOV-based workloads but does not impact Discrete Device Assignment (DDA) or bare metal.

Until a fix is provided, users should rely on ROCm v5.2.3 to support their SRIOV workloads.

#### AMD Instinct™ MI200 firmware updates

Customers cannot update the Integrated Firmware Image (IFWI) for AMD Instinct™ MI200 accelerators.

An updated firmware maintenance bundle consisting of an installation tool and images specific to
AMD Instinct™ MI200 accelerators is under planning and will be available soon.

#### Known issue with rocThrust and rocPRIM libraries

There is a known known issue with rocThrust and rocPRIM libraries supporting iterator and types in
ROCm v5.3.x releases.

* `thrust::merge` no longer correctly supports different iterator types for `keys_input1` and
  `keys_input2`.

* `rocprim::device_merge` no longer correctly supports using different types for `keys_input1` and
  `keys_input2`.

This issue is currently under investigation and will be resolved in a future release.

### Library changes in ROCm 5.3.2

| Library | Version |
|---------|---------|
| hipBLAS | [0.52.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.3.2) |
| hipCUB | [2.12.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.3.2) |
| hipFFT | [1.0.9](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.3.2) |
| hipSOLVER | [1.5.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.3.2) |
| hipSPARSE | [2.3.1](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.3.2) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.3.2) |
| rccl | [2.12.10](https://github.com/ROCm/rccl/releases/tag/rocm-5.3.2) |
| rocALUTION | [2.1.0](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.3.2) |
| rocBLAS | [2.45.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.3.2) |
| rocFFT | [1.0.18](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.3.2) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.3.2) |
| rocPRIM | [2.11.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.3.2) |
| rocRAND | [2.10.15](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.3.2) |
| rocSOLVER | [3.19.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.3.2) |
| rocSPARSE | [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.3.2) |
| rocThrust | [2.16.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.3.2) |
| rocWMMA | [0.8](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.3.2) |
| Tensile | [4.34.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.3.2) |

-------------------

## ROCm 5.3.0
<!-- markdownlint-disable first-line-h1 -->
### Deprecations and warnings

#### HIP Perl scripts deprecation

The `hipcc` and `hipconfig` Perl scripts are deprecated. In a future release, compiled binaries will be
available as `hipcc.bin` and `hipconfig.bin` as replacements for the Perl scripts.

:::{note}
There will be a transition period where the Perl scripts and compiled binaries are available  before the
scripts are removed. There will be no functional difference between the Perl scripts and their compiled
binary counterpart. No user action is required. Once these are available, users can optionally switch to
`hipcc.bin` and `hipconfig.bin`. The `hipcc`/`hipconfig` soft link will be assimilated to point from
`hipcc`/`hipconfig` to the respective compiled binaries as the default option.
:::

#### Linux file system hierarchy standard for ROCm

ROCm packages have adopted the Linux foundation file system hierarchy standard in this release to
ensure ROCm components follow open source conventions for Linux-based distributions. While
moving to a new file system hierarchy, ROCm ensures backward compatibility with its 5.1 version or
older file system hierarchy. See below for a detailed explanation of the new file system hierarchy and
backward compatibility.

##### New file system hierarchy

The following is the new file system hierarchy:

```text
/opt/rocm-<ver>
    | --bin
      | --All externally exposed Binaries
    | --libexec
        | --<component>
            | -- Component specific private non-ISA executables (architecture independent)
    | --include
        | -- <component>
            | --<header files>
    | --lib
        | --lib<soname>.so -> lib<soname>.so.major -> lib<soname>.so.major.minor.patch
            (public libraries linked with application)
        | --<component> (component specific private library, executable data)
        | --<cmake>
            | --components
                | --<component>.config.cmake
    | --share
        | --html/<component>/*.html
        | --info/<component>/*.[pdf, md, txt]
        | --man
        | --doc
            | --<component>
                | --<licenses>
        | --<component>
            | --<misc files> (arch independent non-executable)
            | --samples

```

:::{note}
ROCm will not support backward compatibility with the v5.1(old) file system hierarchy in its next major
release.
:::

For more information, refer to <https://refspecs.linuxfoundation.org/fhs.shtml>.

##### Backward compatibility with older file systems

ROCm has moved header files and libraries to its new location as indicated in the above structure and
included symbolic-link and wrapper header files in its old location for backward compatibility.

:::{note}
ROCm will continue supporting backward compatibility until the next major release.
:::

##### Wrapper header files

Wrapper header files are placed in the old location (`/opt/rocm-xxx/<component>/include`) with a
warning message to include files from the new location (`/opt/rocm-xxx/include`) as shown in the
example below:

```cpp
// Code snippet from hip_runtime.h
#pragma message “This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip”.
#include "hip/hip_runtime.h"
```

The wrapper header files’ backward compatibility deprecation is as follows:

* `#pragma` message announcing deprecation -- ROCm v5.2 release
* `#pragma` message changed to `#warning` -- Future release
* `#warning` changed to `#error` -- Future release
* Backward compatibility wrappers removed -- Future release

##### Library files

Library files are available in the `/opt/rocm-xxx/lib` folder. For backward compatibility, the old library
location (`/opt/rocm-xxx/<component>/lib`) has a soft link to the library at the new location.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/
total 4
drwxr-xr-x 4 root root 4096 May 12 10:45 cmake
lrwxrwxrwx 1 root root   24 May 10 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```

##### CMake config files

All CMake configuration files are available in the `/opt/rocm-xxx/lib/cmake/<component>` folder. For
backward compatibility, the old CMake locations (`/opt/rocm-xxx/<component>/lib/cmake`) consist of
a soft link to the new CMake config.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/cmake/hip/
total 0
lrwxrwxrwx 1 root root 42 May 10 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```

### Defect fixes

The following defects are fixed in this release.

These defects were identified and documented as known issues in previous ROCm releases and are
fixed in the ROCm v5.3 release.

#### Kernel produces incorrect results with ROCm 5.2

User code did not initialize certain data constructs, leading to a correctness issue. A strict reading of
the C++ standard suggests that failing to initialize these data constructs is undefined behavior.
However, a special case was added for a specific compiler builtin to handle the uninitialized data in a
defined manner.

The compiler fix consists of the following patches:

* A new `noundef` attribute is added. This attribute denotes when a function call argument or return
  value may never contain uninitialized bits. For more information, see
  <https://reviews.llvm.org/D81678>
* The application of this attribute was refined such that it was not added to a specific compiler built-in
  where the compiler knows that inactive lanes do not impact program execution. For more
  information, see
  <https://github.com/ROCm/llvm-project/commit/accf36c58409268ca1f216cdf5ad812ba97ceccd>.

### Known issues

This section consists of known issues in this release.

#### Issue with OpenMP-extras package upgrade

The `openmp-extras` package has been split into runtime (`openmp-extras-runtime`) and dev
(`openmp-extras-devel`) packages. This change has broken the upgrade support for the
`openmp-extras` package in RHEL/SLES.

An available workaround in RHEL is to use the following command for upgrades:

```sh
sudo yum upgrade rocm-language-runtime --allowerasing

```

An available workaround in SLES is to use the following command for upgrades:

```sh
zypper update --force-resolution <meta-package>
```

#### AMD Instinct™ MI200 SRIOV virtualization issue

There is a known issue in this ROCm v5.3 release with all AMD Instinct™ MI200 devices running within
a virtual function (VF) under SRIOV virtualization. This issue will likely impact the functionality of
SRIOV-based workloads, but does not impact Discrete Device Assignment (DDA) or Bare Metal.

Until a fix is provided, users should rely on ROCm v5.2.3 to support their SRIOV workloads.

#### System crash when IMMOU is enabled

If input-output memory management unit (IOMMU) is enabled in SBIOS and ROCm is installed, the
system may report the following failure or errors when running workloads such as bandwidth test,
clinfo, and HelloWord.cl and cause a system crash.

* IO PAGE FAULT
* IRQ remapping does not support X2APIC mode
* NMI error

Workaround: To avoid the system crash, add `amd_iommu=on iommu=pt` as the kernel bootparam, as
indicated in the warning message.

### Library changes in ROCm 5.3.0

| Library | Version |
|---------|---------|
| hipBLAS | 0.51.0 ⇒ [0.52.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.3.0) |
| hipCUB | 2.11.1 ⇒ [2.12.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.3.0) |
| hipFFT | 1.0.8 ⇒ [1.0.9](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.3.0) |
| hipSOLVER | 1.4.0 ⇒ [1.5.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.3.0) |
| hipSPARSE | 2.2.0 ⇒ [2.3.1](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.3.0) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.3.0) |
| rccl | [2.12.10](https://github.com/ROCm/rccl/releases/tag/rocm-5.3.0) |
| rocALUTION | 2.0.3 ⇒ [2.1.0](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.3.0) |
| rocBLAS | 2.44.0 ⇒ [2.45.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.3.0) |
| rocFFT | 1.0.17 ⇒ [1.0.18](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.3.0) |
| rocm-cmake | [0.8.0](https://github.com/ROCm/rocm-cmake/releases/tag/rocm-5.3.0) |
| rocPRIM | 2.10.14 ⇒ [2.11.0](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.3.0) |
| rocRAND | 2.10.14 ⇒ [2.10.15](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.3.0) |
| rocSOLVER | 3.18.0 ⇒ [3.19.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.3.0) |
| rocSPARSE | [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.3.0) |
| rocThrust | 2.15.0 ⇒ [2.16.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.3.0) |
| rocWMMA | 0.7 ⇒ [0.8](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.3.0) |
| Tensile | 4.33.0 ⇒ [4.34.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.3.0) |

#### hipBLAS 0.52.0

hipBLAS 0.52.0 for ROCm 5.3.0

##### Added

- Added --cudapath option to install.sh to allow user to specify which cuda build they would like to use.
- Added --installcuda option to install.sh to install cuda via a package manager. Can be used with new --installcudaversion
  option to specify which version of cuda to install.

##### Fixed

- Fixed #includes to support a compiler version.
- Fixed client dependency support in install.sh

#### hipCUB 2.12.0

hipCUB 2.12.0 for ROCm 5.3.0

##### Added

- UniqueByKey device algorithm
- SubtractLeft, SubtractLeftPartialTile, SubtractRight, SubtractRightPartialTile overloads in BlockAdjacentDifference.
  - The old overloads (FlagHeads, FlagTails, FlagHeadsAndTails) are deprecated.
- DeviceAdjacentDifference algorithm.
- Extended benchmark suite of `DeviceHistogram`, `DeviceScan`, `DevicePartition`, `DeviceReduce`,
`DeviceSegmentedReduce`, `DeviceSegmentedRadixSort`, `DeviceRadixSort`, `DeviceSpmv`, `DeviceMergeSort`,
`DeviceSegmentedSort`

##### Changed

- Obsolated type traits defined in util_type.hpp. Use the standard library equivalents instead.
- CUB backend references CUB and thrust version 1.16.0.
- DeviceRadixSort&#39;s num_items parameter&#39;s type is now templated instead of being an int.
  - If an integral type with a size at most 4 bytes is passed (i.e. an int), the former logic applies.
  - Otherwise the algorithm uses a larger indexing type that makes it possible to sort input data over 2**32 elements.
- Improved build parallelism of the test suite by splitting up large compilation units

#### hipFFT 1.0.9

hipFFT 1.0.9 for ROCm 5.3.0

##### Changed

- Clean up build warnings.
- GNUInstall Dir enhancements.
- Requires gtest 1.11.

#### hipSOLVER 1.5.0

hipSOLVER 1.5.0 for ROCm 5.3.0

##### Added

- Added functions
  - syevj
    - hipsolverSsyevj_bufferSize, hipsolverDsyevj_bufferSize, hipsolverCheevj_bufferSize, hipsolverZheevj_bufferSize
    - hipsolverSsyevj, hipsolverDsyevj, hipsolverCheevj, hipsolverZheevj
  - syevjBatched
    - hipsolverSsyevjBatched_bufferSize, hipsolverDsyevjBatched_bufferSize, hipsolverCheevjBatched_bufferSize, hipsolverZheevjBatched_bufferSize
    - hipsolverSsyevjBatched, hipsolverDsyevjBatched, hipsolverCheevjBatched, hipsolverZheevjBatched
  - sygvj
    - hipsolverSsygvj_bufferSize, hipsolverDsygvj_bufferSize, hipsolverChegvj_bufferSize, hipsolverZhegvj_bufferSize
    - hipsolverSsygvj, hipsolverDsygvj, hipsolverChegvj, hipsolverZhegvj
- Added compatibility-only functions
  - syevdx/heevdx
    - hipsolverDnSsyevdx_bufferSize, hipsolverDnDsyevdx_bufferSize, hipsolverDnCheevdx_bufferSize, hipsolverDnZheevdx_bufferSize
    - hipsolverDnSsyevdx, hipsolverDnDsyevdx, hipsolverDnCheevdx, hipsolverDnZheevdx
  - sygvdx/hegvdx
    - hipsolverDnSsygvdx_bufferSize, hipsolverDnDsygvdx_bufferSize, hipsolverDnChegvdx_bufferSize, hipsolverDnZhegvdx_bufferSize
    - hipsolverDnSsygvdx, hipsolverDnDsygvdx, hipsolverDnChegvdx, hipsolverDnZhegvdx
- Added --mem_query option to hipsolver-bench, which will print the amount of device memory workspace required by the function.

##### Changed

- The rocSOLVER backend will now set `info` to zero if rocSOLVER does not reference `info`. (Applies to orgbr/ungbr, orgqr/ungqr, orgtr/ungtr, ormqr/unmqr, ormtr/unmtr, gebrd, geqrf, getrs, potrs, and sytrd/hetrd).
- gesvdj will no longer require extra workspace to transpose `V` when `jobz` is `HIPSOLVER_EIG_MODE_VECTOR` and `econ` is 1.

##### Fixed

- Fixed Fortran return value declarations within hipsolver_module.f90
- Fixed gesvdj_bufferSize returning `HIPSOLVER_STATUS_INVALID_VALUE` when `jobz` is `HIPSOLVER_EIG_MODE_NOVECTOR` and 1 &lt;= `ldv` &lt; `n`
- Fixed gesvdj returning `HIPSOLVER_STATUS_INVALID_VALUE` when `jobz` is `HIPSOLVER_EIG_MODE_VECTOR`, `econ` is 1, and `m` &lt; `n`

#### hipSPARSE 2.3.1

hipSPARSE 2.3.1 for ROCm 5.3.0

##### Added

- Add SpMM and SpMM batched for CSC format

#### rocALUTION 2.1.0

rocALUTION 2.1.0 for ROCm 5.3.0

##### Added

- Benchmarking tool
- Ext+I Interpolation with sparsify strategies added for RS-AMG

##### Improved

- ParallelManager

#### rocBLAS 2.45.0

rocBLAS 2.45.0 for ROCm 5.3.0

##### Added

- install.sh option --upgrade_tensile_venv_pip to upgrade Pip in Tensile Virtual Environment. The corresponding CMake option is TENSILE_VENV_UPGRADE_PIP.
- install.sh option --relocatable or -r adds rpath and removes ldconf entry on rocBLAS build.
- install.sh option --lazy-library-loading to enable on-demand loading of tensile library files at runtime to speedup rocBLAS initialization.
- Support for RHEL9 and CS9.
- Added Numerical checking routine for symmetric, Hermitian, and triangular matrices, so that they could be checked for any numerical abnormalities such as NaN, Zero, infinity and denormal value.

##### Optimizations

- trmm_outofplace performance improvements for all sizes and data types using block-recursive algorithm.
- herkx performance improvements for all sizes and data types using block-recursive algorithm.
- syrk/herk performance improvements by utilising optimised syrkx/herkx code.
- symm/hemm performance improvements for all sizes and datatypes using block-recursive algorithm.

##### Changed

- Unifying library logic file names: affects HBH (-&gt;HHS_BH), BBH (-&gt;BBS_BH), 4xi8BH (-&gt;4xi8II_BH). All HPA types are using the new naming convention now.
- Level 3 function argument checking when the handle is set to rocblas_pointer_mode_host now returns the status of rocblas_status_invalid_pointer only for pointers that must be dereferenced based on the alpha and beta argument values. With handle mode rocblas_pointer_mode_device only pointers that are always dereferenced regardless of alpha and beta values are checked and so may lead to a return status of rocblas_status_invalid_pointer. This improves consistency with legacy BLAS behaviour.
- Level 1, 2, and 3 function argument checking for enums is now more rigorously matching legacy BLAS so returns rocblas_status_invalid_value if arguments do not match the accepted subset.
- Add quick-return for internal trmm and gemm template functions.
- Moved function block sizes to a shared header file.
- Level 1, 2, and 3 functions use rocblas_stride datatype for offset.
- Modified the matrix and vector memory allocation in our test infrastructure for all Level 1, 2, 3 and BLAS_EX functions.
- Added specific initialization for symmetric, Hermitian, and triangular matrix types in our test infrastructure.
- Added NaN tests to the test infrastructure for the rest of Level 3, BLAS_EX functions.

##### Fixed

- Improved logic to #include &lt;filesystem&gt; vs &lt;experimental/filesystem&gt;.
- install.sh -s option to build rocblas as a static library.
- dot function now sets the device results asynchronously for N &lt;= 0

##### Deprecated

- is_complex helper is now deprecated.  Use rocblas_is_complex instead.
- The enum truncate_t and the value truncate is now deprecated and will removed from the ROCm release 6.0. It is replaced by rocblas_truncate_t and rocblas_truncate, respectively. The new enum rocblas_truncate_t and the value rocblas_truncate could be used from this ROCm release for an easy transition.

##### Removed

- install.sh options  --hip-clang , --no-hip-clang, --merge-files, --no-merge-files are removed.

#### rocFFT 1.0.18

rocFFT 1.0.18 for ROCm 5.3.0

##### Changed

- Runtime compilation cache now looks for environment variables XDG_CACHE_HOME (on Linux) and LOCALAPPDATA (on
  Windows) before falling back to HOME.

##### Optimizations

- Optimized 2D R2C/C2R to use 2-kernel plans where possible.
- Improved performance of the Bluestein algorithm.
- Optimized sbcc-168 and 100 by using half-lds.

##### Fixed

- Fixed occasional failures to parallelize runtime compilation of kernels.
  Failures would be retried serially and ultimately succeed, but this would take extra time.
- Fixed failures of some R2C 3D transforms that use the unsupported TILE_UNALGNED SBRC kernels.
  An example is 98^3 R2C out-of-place.
- Fixed bugs in SBRC_ERC type.

#### rocm-cmake 0.8.0

rocm-cmake 0.8.0 for ROCm 5.3.0

##### Fixed

- Fixed error in prerm scripts created by `rocm_create_package` that could break uninstall for packages using the `PTH` option.

##### Changed

- `ROCM_USE_DEV_COMPONENT` set to on by default for all platforms. This means that Windows will now generate runtime and devel packages by default
- ROCMInstallTargets now defaults `CMAKE_INSTALL_LIBDIR` to `lib` if not otherwise specified.
- Changed default Debian compression type to xz and enabled multi-threaded package compression.
- `rocm_create_package` will no longer warn upon failure to determine version of program rpmbuild.

#### rocPRIM 2.11.0

rocPRIM 2.11.0 for ROCm 5.3.0

##### Added

- New functions `subtract_left` and `subtract_right` in `block_adjacent_difference` to apply functions
  on pairs of adjacent items distributed between threads in a block.
- New device level `adjacent_difference` primitives.
- Added experimental tooling for automatic kernel configuration tuning for various architectures
- Benchmarks collect and output more detailed system information
- CMake functionality to improve build parallelism of the test suite that splits compilation units by
function or by parameters.
- Reverse iterator.

#### rocRAND 2.10.15

rocRAND 2.10.15 for ROCm 5.3.0

##### Changed

- Increased number of warmup iterations for rocrand_benchmark_generate from 5 to 15 to eliminate corner cases that would generate artificially high benchmark scores.

#### rocSOLVER 3.19.0

rocSOLVER 3.19.0 for ROCm 5.3.0

##### Added

- Partial eigensolver routines for symmetric/hermitian matrices:
    - SYEVX (with batched and strided\_batched versions)
    - HEEVX (with batched and strided\_batched versions)
- Generalized symmetric- and hermitian-definite partial eigensolvers:
    - SYGVX (with batched and strided\_batched versions)
    - HEGVX (with batched and strided\_batched versions)
- Eigensolver routines for symmetric/hermitian matrices using Jacobi algorithm:
    - SYEVJ (with batched and strided\_batched versions)
    - HEEVJ (with batched and strided\_batched versions)
- Generalized symmetric- and hermitian-definite eigensolvers using Jacobi algorithm:
    - SYGVJ (with batched and strided\_batched versions)
    - HEGVJ (with batched and strided\_batched versions)
- Added --profile_kernels option to rocsolver-bench, which will include kernel calls in the
  profile log (if profile logging is enabled with --profile).

##### Changed

- Changed rocsolver-bench result labels `cpu_time` and `gpu_time` to
  `cpu_time_us` and `gpu_time_us`, respectively.

##### Removed

- Removed dependency on cblas from the rocsolver test and benchmark clients.

##### Fixed

- Fixed incorrect SYGS2/HEGS2, SYGST/HEGST, SYGV/HEGV, and SYGVD/HEGVD results for batch counts
  larger than 32.
- Fixed STEIN memory access fault when nev is 0.
- Fixed incorrect STEBZ results for close eigenvalues when range = index.
- Fixed git unsafe repository error when building with `./install.sh -cd` as a non-root user.

#### rocThrust 2.16.0

rocThrust 2.16.0 for ROCm 5.3.0

##### Changed

- rocThrust functionality dependent on device malloc works is functional as ROCm 5.2 reneabled device malloc. Device launched `thrust::sort` and `thrust::sort_by_key` are available for use.

#### rocWMMA 0.8

rocWMMA 0.8 for ROCm 5.3.0

#### Tensile 4.34.0

Tensile 4.34.0 for ROCm 5.3.0

##### Added

- Lazy loading of solution libraries and code object files
- Support for dictionary style logic files
- Support for decision tree based logic files using dictionary format
- DecisionTreeLibrary for solution selection
- DirectToLDS support for HGEMM
- DirectToVgpr support for SGEMM
- Grid based distance metric for solution selection
- Support for gfx11xx
- Support for DirectToVgprA/B + TLU=False
- ForkParameters Groups as a way of specifying solution parameters
- Support for a new Tensile yaml config format
- TensileClientConfig for generating Tensile client config files
- Options for TensileCreateLibrary to build client and create client config file

##### Optimizations

- Solution generation is now cached and is not repeated if solution parameters are unchanged

##### Changed

- Default MACInstruction to FMA

##### Fixed

- Accept StaggerUStride=0 as valid
- Reject invalid data types for UnrollLoopEfficiencyEnable
- Fix invalid code generation issues related to DirectToVgpr
- Return hipErrorNotFound if no modules are loaded
- Fix performance drop for NN ZGEMM with 96x64 macro tile
- Fix memory violation for general batched kernels when alpha/beta/K = 0

-------------------

## ROCm 5.2.3
<!-- markdownlint-disable first-line-h1 -->
### Changes in this release

#### Ubuntu 18.04 end-of-life announcement

Support for Ubuntu 18.04 ends in this release. Future releases of ROCm will not provide prebuilt
packages for Ubuntu 18.04.

#### HIP runtime

##### Fixes

* A bug was discovered in the HIP graph capture implementation in the ROCm v5.2.0 release. If the
  same kernel is called twice (with different argument values) in a graph capture, the implementation
  only kept the argument values for the second kernel call.

* A bug was introduced in the hiprtc implementation in the ROCm v5.2.0 release. This bug caused the
  `hiprtcGetLoweredName` call to fail for named expressions with whitespace in it.

Example:

The named expression `my_sqrt<complex<double>>` passed but `my_sqrt<complex<double >>`
failed.

#### RCCL

##### Additions

Compatibility with NCCL 2.12.10

* Packages for test and benchmark executables on all supported OSes using CPack

* Added custom signal handler - opt-in with RCCL_ENABLE_SIGNALHANDLER=1

  * Additional details provided if Binary File Descriptor library (BFD) is pre-installed.

* Added experimental support for using multiple ranks per device

  * Requires using a new interface to create communicator (ncclCommInitRankMulti), refer to the
    interface documentation for details.

  * To avoid potential deadlocks, user might have to set an environment variables increasing the
    number of hardware queues. For example,

```sh
export GPU_MAX_HW_QUEUES=16
```

* Added support for reusing ports in NET/IB channels

  * Opt-in with NCCL_IB_SOCK_CLIENT_PORT_REUSE=1 and NCCL_IB_SOCK_SERVER_PORT_REUSE=1

  * When "Call to bind failed: Address already in use" error happens in large-scale AlltoAll (for example,
    \>=64 MI200 nodes), users are suggested to opt-in either one or both of the options to resolve the
    massive port usage issue

  * Avoid using NCCL_IB_SOCK_SERVER_PORT_REUSE when NCCL_NCHANNELS_PER_NET_PEER is tuned
    \>1

##### Removals

* Removed experimental clique-based kernels

#### Development tools

No notable changes in this release for development tools, including the compiler, profiler, and
debugger deployment and management tools

No notable changes in this release for deployment and management tools.

For release information for older ROCm releases, refer to
<https://github.com/ROCm/ROCm/blob/master/CHANGELOG.md>

### Library changes in ROCm 5.2.3

| Library | Version |
|---------|---------|
| hipBLAS | [0.51.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.2.3) |
| hipCUB | [2.11.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.2.3) |
| hipFFT | [1.0.8](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.2.3) |
| hipSOLVER | [1.4.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.2.3) |
| hipSPARSE | [2.2.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.2.3) |
| MIVisionX | [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.2.3) |
| rccl | 2.11.4 ⇒ [2.12.10](https://github.com/ROCm/rccl/releases/tag/rocm-5.2.3) |
| rocALUTION | [2.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.2.3) |
| rocBLAS | [2.44.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.2.3) |
| rocFFT | [1.0.17](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.2.3) |
| rocPRIM | [2.10.14](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.2.3) |
| rocRAND | [2.10.14](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.2.3) |
| rocSOLVER | [3.18.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.2.3) |
| rocSPARSE | [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.2.3) |
| rocThrust | [2.15.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.2.3) |
| rocWMMA | [0.7](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.2.3) |
| Tensile | [4.33.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.2.3) |

#### rccl 2.12.10

RCCL 2.12.10 for ROCm 5.2.3

##### Added

- Compatibility with NCCL 2.12.10
- Packages for test and benchmark executables on all supported OSes using CPack.
- Adding custom signal handler - opt-in with RCCL_ENABLE_SIGNALHANDLER=1
  - Additional details provided if Binary File Descriptor library (BFD) is pre-installed
- Adding support for reusing ports in NET/IB channels
  - Opt-in with NCCL_IB_SOCK_CLIENT_PORT_REUSE=1 and NCCL_IB_SOCK_SERVER_PORT_REUSE=1
  - When &#34;Call to bind failed : Address already in use&#34; error happens in large-scale AlltoAll
    (e.g., &gt;=64 MI200 nodes), users are suggested to opt-in either one or both of the options
    to resolve the massive port usage issue
  - Avoid using NCCL_IB_SOCK_SERVER_PORT_REUSE when NCCL_NCHANNELS_PER_NET_PEER is tuned &gt;1

##### Removed

- Removed experimental clique-based kernels

-------------------

## ROCm 5.2.1


### Library changes in ROCm 5.2.1

| Library | Version |
|---------|---------|
| hipBLAS | [0.51.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.2.1) |
| hipCUB | [2.11.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.2.1) |
| hipFFT | [1.0.8](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.2.1) |
| hipSOLVER | [1.4.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.2.1) |
| hipSPARSE | [2.2.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.2.1) |
| MIVisionX | 2.2.0 ⇒ [2.3.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.2.1) |
| rccl | [2.11.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.2.1) |
| rocALUTION | [2.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.2.1) |
| rocBLAS | [2.44.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.2.1) |
| rocFFT | [1.0.17](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.2.1) |
| rocPRIM | [2.10.14](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.2.1) |
| rocRAND | [2.10.14](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.2.1) |
| rocSOLVER | [3.18.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.2.1) |
| rocSPARSE | [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.2.1) |
| rocThrust | [2.15.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.2.1) |
| rocWMMA | [0.7](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.2.1) |
| Tensile | [4.33.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.2.1) |

#### MIVisionX 2.3.0

MIVisionX for ROCm 5.2.1

##### Added

* Docker Support for ROCm `5.2.X`

##### Optimizations

*

##### Changed

*

##### Fixed

*

##### Tested Configurations

* Windows `10` / `11`
* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `7` / `8`
  + SLES - `15-SP2`
* ROCm: rocm-core - `5.2.0.50200-65`
* miopen-hip - `2.16.0.50101-48`
* miopen-opencl - `2.16.0.50101-48`
* migraphx - `2.1.0.50101-48`
* Protobuf - [V3.12.4](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.4)
* OpenCV - [4.5.5](https://github.com/opencv/opencv/releases/tag/4.5.5)
* RPP - [0.93](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/0.93)
* FFMPEG - [n4.4.2](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.4.2)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.3.4`

##### Known Issues

* OpenCV 4.X support for some apps missing

##### Mivisionx Dependency Map

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](docs/images/green_square.png) `new component added to the level`
- ![#1589F0](docs/images/blue_square.png) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](docs/images/green_square.png) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](docs/images/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](docs/images/green_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](docs/images/green_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](docs/images/green_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](docs/images/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](docs/images/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](docs/images/green_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](docs/images/green_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                               | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](docs/images/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](docs/images/green_square.png) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                       | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](docs/images/blue_square.png) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](docs/images/blue_square.png) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](docs/images/blue_square.png) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](docs/images/blue_square.png) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](docs/images/green_square.png) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](docs/images/green_square.png) `librali.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](docs/images/green_square.png) `rali_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

-------------------

## ROCm 5.2.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-duplicate-header -->
### What's new in this release

#### HIP enhancements

The ROCm v5.2 release consists of the following HIP enhancements:

##### HIP installation guide updates

The HIP Installation Guide is updated to include building HIP tests from source on the AMD and
NVIDIA platforms.

For more details, refer to the HIP Installation Guide v5.2.

##### Support for device-side malloc on HIP-Clang

HIP-Clang now supports device-side malloc. This implementation does not require the use of
`hipDeviceSetLimit(hipLimitMallocHeapSize,value)` nor respect any setting. The heap is fully dynamic
and can grow until the available free memory on the device is consumed.

The test codes at the following link show how to implement applications using malloc and free
functions in device kernels:

<https://github.com/ROCm/HIP/blob/d6224a55390bf2d8fd0180c21bae44f0d718d1eb/tests/src/deviceLib/hipDeviceMalloc.cpp>

##### New HIP APIs in this release

The following new HIP APIs are available in the ROCm v5.2 release. Note that this is a pre-official
version (beta) release of the new APIs:

###### Device management HIP APIs

The new device management HIP APIs are as follows:

* Gets a UUID for the device. This API returns a UUID for the device.

  ```cpp
  hipError_t hipDeviceGetUuid(hipUUID* uuid, hipDevice_t device);
  ```

  Note that this new API corresponds to the following CUDA API:

  ```cpp
    CUresult cuDeviceGetUuid(CUuuid* uuid, CUdevice dev);
  ```

* Gets default memory pool of the specified device

  ```cpp
  hipError_t hipDeviceGetDefaultMemPool(hipMemPool_t* mem_pool, int device);
  ```

* Sets the current memory pool of a device

  ```cpp
  hipError_t hipDeviceSetMemPool(int device, hipMemPool_t mem_pool);
  ```

* Gets the current memory pool for the specified device

  ```cpp
  hipError_t hipDeviceGetMemPool(hipMemPool_t* mem_pool, int device);
  ```

###### New HIP runtime APIs in memory management

The new Stream Ordered Memory Allocator functions of HIP runtime APIs in memory management are:

* Allocates memory with stream ordered semantics

  ```cpp
  hipError_t hipMallocAsync(void** dev_ptr, size_t size, hipStream_t stream);
  ```

* Frees memory with stream ordered semantics

  ```cpp
  hipError_t hipFreeAsync(void* dev_ptr, hipStream_t stream);
  ```

* Releases freed memory back to the OS

  ```cpp
  hipError_t hipMemPoolTrimTo(hipMemPool_t mem_pool, size_t min_bytes_to_hold);
  ```

* Sets attributes of a memory pool

  ```cpp
  hipError_t hipMemPoolSetAttribute(hipMemPool_t mem_pool, hipMemPoolAttr attr, void* value);
  ```

* Gets attributes of a memory pool

  ```cpp
  hipError_t hipMemPoolGetAttribute(hipMemPool_t mem_pool, hipMemPoolAttr attr, void* value);
  ```

* Controls visibility of the specified pool between devices

  ```cpp
  hipError_t hipMemPoolSetAccess(hipMemPool_t mem_pool, const hipMemAccessDesc* desc_list, size_t count);
  ```

* Returns the accessibility of a pool from a device

  ```cpp
  hipError_t hipMemPoolGetAccess(hipMemAccessFlags* flags, hipMemPool_t mem_pool, hipMemLocation* location);
  ```

* Creates a memory pool

  ```cpp
  hipError_t hipMemPoolCreate(hipMemPool_t* mem_pool, const hipMemPoolProps* pool_props);
  ```

* Destroys the specified memory pool

  ```cpp
  hipError_t hipMemPoolDestroy(hipMemPool_t mem_pool);
  ```

* Allocates memory from a specified pool with stream ordered semantics

  ```cpp
  hipError_t hipMallocFromPoolAsync(void** dev_ptr, size_t size, hipMemPool_t mem_pool, hipStream_t stream);
  ```

* Exports a memory pool to the requested handle type

  ```cpp
  hipError_t hipMemPoolExportToShareableHandle(
      void*                      shared_handle,
      hipMemPool_t               mem_pool,
      hipMemAllocationHandleType handle_type,
      unsigned int               flags);
  ```

* Imports a memory pool from a shared handle

  ```cpp
  hipError_t hipMemPoolImportFromShareableHandle(
      hipMemPool_t*              mem_pool,
      void*                      shared_handle,
      hipMemAllocationHandleType handle_type,
      unsigned int               flags);
  ```

* Exports data to share a memory pool allocation between processes

  ```cpp
  hipError_t hipMemPoolExportPointer(hipMemPoolPtrExportData* export_data, void* dev_ptr);
  Import a memory pool allocation from another process.t
  hipError_t hipMemPoolImportPointer(
      void**                   dev_ptr,
      hipMemPool_t             mem_pool,
      hipMemPoolPtrExportData* export_data);
  ```

###### HIP graph management APIs

The new HIP Graph Management APIs are as follows:

* Enqueues a host function call in a stream

  ```cpp
  hipError_t hipLaunchHostFunc(hipStream_t stream, hipHostFn_t fn, void* userData);
  ```

* Swaps the stream capture mode of a thread

  ```cpp
  hipError_t hipThreadExchangeStreamCaptureMode(hipStreamCaptureMode* mode);
  ```

* Sets a node attribute

  ```cpp
  hipError_t hipGraphKernelNodeSetAttribute(hipGraphNode_t hNode, hipKernelNodeAttrID attr, const hipKernelNodeAttrValue* value);
  ```

* Gets a node attribute

  ```cpp
  hipError_t hipGraphKernelNodeGetAttribute(hipGraphNode_t hNode, hipKernelNodeAttrID attr, hipKernelNodeAttrValue* value);
  ```

###### Support for virtual memory management APIs

The new APIs for virtual memory management are as follows:

* Frees an address range reservation made via hipMemAddressReserve

  ```cpp
  hipError_t hipMemAddressFree(void* devPtr, size_t size);
  ```

* Reserves an address range

  ```cpp
  hipError_t hipMemAddressReserve(void** ptr, size_t size, size_t alignment, void* addr, unsigned long long flags);
  ```

* Creates a memory allocation described by the properties and size

  ```cpp
  hipError_t hipMemCreate(hipMemGenericAllocationHandle_t* handle, size_t size, const hipMemAllocationProp* prop, unsigned long long flags);
  ```

* Exports an allocation to a requested shareable handle type

  ```cpp
  hipError_t hipMemExportToShareableHandle(void* shareableHandle, hipMemGenericAllocationHandle_t handle, hipMemAllocationHandleType handleType, unsigned long long flags);
  ```

* Gets the access flags set for the given location and ptr

  ```cpp
  hipError_t hipMemGetAccess(unsigned long long* flags, const hipMemLocation* location, void* ptr);
  ```

* Calculates either the minimal or recommended granularity

  ```cpp
  hipError_t hipMemGetAllocationGranularity(size_t* granularity, const hipMemAllocationProp* prop, hipMemAllocationGranularity_flags option);
  ```

* Retrieves the property structure of the given handle

  ```cpp
  hipError_t hipMemGetAllocationPropertiesFromHandle(hipMemAllocationProp* prop, hipMemGenericAllocationHandle_t handle);
  ```

* Imports an allocation from a requested shareable handle type

  ```cpp
  hipError_t hipMemImportFromShareableHandle(hipMemGenericAllocationHandle_t* handle, void* osHandle, hipMemAllocationHandleType shHandleType);
  ```

* Maps an allocation handle to a reserved virtual address range

  ```cpp
  hipError_t hipMemMap(void* ptr, size_t size, size_t offset, hipMemGenericAllocationHandle_t handle, unsigned long long flags);
  ```

* Maps or unmaps subregions of sparse HIP arrays and sparse HIP mipmapped arrays

  ```cpp
  hipError_t hipMemMapArrayAsync(hipArrayMapInfo* mapInfoList, unsigned int count, hipStream_t stream);
  ```

* Release a memory handle representing a memory allocation, that  was previously allocated through hipMemCreate

  ```cpp
  hipError_t hipMemRelease(hipMemGenericAllocationHandle_t handle);
  ```

* Returns the allocation handle of the backing memory allocation given the address

  ```cpp
  hipError_t hipMemRetainAllocationHandle(hipMemGenericAllocationHandle_t* handle, void* addr);
  ```

* Sets the access flags for each location specified in desc for the given virtual address range

  ```cpp
  hipError_t hipMemSetAccess(void* ptr, size_t size, const hipMemAccessDesc* desc, size_t count);
  ```

* Unmaps memory allocation of a given address range

  ```cpp
  hipError_t hipMemUnmap(void* ptr, size_t size);
  ```

For more information, refer to the HIP API documentation at
{doc}`hip:doxygen/html/modules`.

##### Planned HIP changes in future releases

Changes to `hipDeviceProp_t`, `HIPMEMCPY_3D`, and `hipArray` structures (and related HIP APIs) are
planned in the next major release. These changes may impact backward compatibility.

Refer to the release notes in subsequent releases for more information.

#### ROCm math and communication libraries

In this release, ROCm math and communication libraries consist of the following enhancements and
fixes:

* New rocWMMA for matrix multiplication and accumulation operations acceleration

This release introduces a new ROCm C++ library for accelerating mixed-precision matrix multiplication
and accumulation (MFMA) operations leveraging specialized GPU matrix cores. rocWMMA provides a
C++ API to facilitate breaking down matrix multiply accumulate problems into fragments and using
them in block-wise operations that are distributed in parallel across GPU wavefronts. The API is a
header library of GPU device code, meaning matrix core acceleration may be compiled directly into
your kernel device code. This can benefit from compiler optimization in the generation of kernel
assembly and does not incur additional overhead costs of linking to external runtime libraries or having
to launch separate kernels.

rocWMMA is released as a header library and includes test and sample projects to validate and
illustrate example usages of the C++ API. GEMM matrix multiplication is used as primary validation
given the heavy precedent for the library. However, the usage portfolio is growing significantly and
demonstrates different ways rocWMMA may be consumed.

For more information, refer to [Communication libraries](../reference/api-libraries.md).

#### OpenMP enhancements in this release

##### OMPT target support

The OpenMP runtime in ROCm implements a subset of the OMPT device APIs, as described in the
OpenMP specification document. These are APIs that allow first-party tools to examine the profile
and traces for kernels that execute on a device. A tool may register callbacks for data transfer and
kernel dispatch entry points. A tool may use APIs to start and stop tracing for device-related activities,
such as data transfer and kernel dispatch timings and associated metadata. If device tracing is enabled,
trace records for device activities are collected during program execution and returned to the tool
using the APIs described in the specification.

Following is an example demonstrating how a tool would use the OMPT target APIs supported. The
README in /opt/rocm/llvm/examples/tools/ompt outlines the steps to follow, and you can run the
provided example as indicated below:

```sh
cd /opt/rocm/llvm/examples/tools/ompt/veccopy-ompt-target-tracing
make run
```

The file `veccopy-ompt-target-tracing.c` simulates how a tool would initiate device activity tracing. The
file `callbacks.h` shows the callbacks that may be registered and implemented by the tool.

### Deprecations and warnings

#### Linux file system hierarchy standard for ROCm

ROCm packages have adopted the Linux foundation file system hierarchy standard in this release to
ensure ROCm components follow open source conventions for Linux-based distributions. While
moving to a new file system hierarchy, ROCm ensures backward compatibility with its 5.1 version or
older file system hierarchy. See below for a detailed explanation of the new file system hierarchy and
backward compatibility.

##### New file system hierarchy

The following is the new file system hierarchy:

```text
/opt/rocm-<ver>
    | --bin
      | --All externally exposed Binaries
    | --libexec
        | --<component>
            | -- Component specific private non-ISA executables (architecture independent)
    | --include
        | -- <component>
            | --<header files>
    | --lib
        | --lib<soname>.so -> lib<soname>.so.major -> lib<soname>.so.major.minor.patch
            (public libraries linked with application)
        | --<component> (component specific private library, executable data)
        | --<cmake>
            | --components
                | --<component>.config.cmake
    | --share
        | --html/<component>/*.html
        | --info/<component>/*.[pdf, md, txt]
        | --man
        | --doc
            | --<component>
                | --<licenses>
        | --<component>
            | --<misc files> (arch independent non-executable)
            | --samples

```

:::{note}
ROCm will not support backward compatibility with the v5.1(old) file system hierarchy in its next major
release.
:::

For more information, refer to <https://refspecs.linuxfoundation.org/fhs.shtml>.

##### Backward compatibility with older file systems

ROCm has moved header files and libraries to its new location as indicated in the above structure and
included symbolic-link and wrapper header files in its old location for backward compatibility.

:::{note}
ROCm will continue supporting backward compatibility until the next major release.
:::

##### Wrapper header files

Wrapper header files are placed in the old location (`/opt/rocm-xxx/<component>/include`) with a
warning message to include files from the new location (`/opt/rocm-xxx/include`) as shown in the
example below:

```cpp
// Code snippet from hip_runtime.h
#pragma message “This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip”.
#include "hip/hip_runtime.h"
```

The wrapper header files’ backward compatibility deprecation is as follows:

* `#pragma` message announcing deprecation -- ROCm v5.2 release
* `#pragma` message changed to `#warning` -- Future release
* `#warning` changed to `#error` -- Future release
* Backward compatibility wrappers removed -- Future release

##### Library files

Library files are available in the `/opt/rocm-xxx/lib` folder. For backward compatibility, the old library
location (`/opt/rocm-xxx/<component>/lib`) has a soft link to the library at the new location.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/
total 4
drwxr-xr-x 4 root root 4096 May 12 10:45 cmake
lrwxrwxrwx 1 root root   24 May 10 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```

##### CMake config files

All CMake configuration files are available in the `/opt/rocm-xxx/lib/cmake/<component>` folder. For
backward compatibility, the old CMake locations (`/opt/rocm-xxx/<component>/lib/cmake`) consist of
a soft link to the new CMake config.

Example:

```bash
$ ls -l /opt/rocm/hip/lib/cmake/hip/
total 0
lrwxrwxrwx 1 root root 42 May 10 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```

#### Planned deprecation of hip-rocclr and hip-base packages

In the ROCm v5.2 release, hip-rocclr and hip-base packages (Debian and RPM) are planned for
deprecation and will be removed in a future release. hip-runtime-amd and hip-dev(el) will replace
these packages respectively. Users of hip-rocclr must install two packages, hip-runtime-amd and
hip-dev, to get the same set of packages installed by hip-rocclr previously.

Currently, both package names hip-rocclr (or) hip-runtime-amd and hip-base (or) hip-dev(el) are
supported.

#### Deprecation of integrated HIP directed tests

The integrated HIP directed tests, which are currently built by default, are deprecated in this release.
The default building and execution support through CMake will be removed in future release.

### Defect fixes

| Defect |  Fix |
|--------|------|
| ROCmInfo does not list gpus | code fix |
| Hang observed while restoring cooperative group samples | code fix |
| ROCM-SMI over SRIOV: Unsupported commands do not return proper error message | code fix |

### Known issues

This section consists of known issues in this release.

#### Compiler error on gfx1030 when compiling at -O0

##### Issue

A compiler error occurs when using -O0 flag to compile code for gfx1030 that calls atomicAddNoRet,
which is defined in amd_hip_atomic.h. The compiler generates an illegal instruction for gfx1030.

##### Workaround

The workaround is not to use the -O0 flag for this case. For higher optimization levels, the compiler
does not generate an invalid instruction.

#### System freeze observed during CUDA memtest checkpoint

##### Issue

Checkpoint/Restore in Userspace (CRIU) requires 20 MB of VRAM approximately to checkpoint and
restore. The CRIU process may freeze if the maximum amount of available VRAM is allocated to
checkpoint applications.

##### Workaround

To use CRIU to checkpoint and restore your application, limit the amount of VRAM the application uses
to ensure at least 20 MB is available.

#### HPC test fails with the “HSA_STATUS_ERROR_MEMORY_FAULT” error

##### Issue

The compiler may incorrectly compile a program that uses the `__shfl_sync(mask, value, srcLane)`
function when the "value" parameter to the function is undefined along some path to the function. For
most functions, uninitialized inputs cause undefined behavior, but the definition for `__shfl_sync` should
allow for undefined values.

##### Workaround

The workaround is to initialize the parameters to `__shfl_sync`.

:::{note}
When the `-Wall` compilation flag is used, the compiler generates a warning indicating the variable is
initialized along some path.
:::

Example:

```cpp
double res = 0.0; // Initialize the input to __shfl_sync.
if (lane == 0) {
  res = <some expression>
}
res = __shfl_sync(mask, res, 0);
```

#### Kernel produces incorrect result

##### Issue

In recent changes to Clang, insertion of the noundef attribute to all the function arguments has been
enabled by default.

In the HIP kernel, variable var in shfl_sync may not be initialized, so LLVM IR treats it as undef.

So, the function argument that is potentially undef (because it is not initialized) has always been
assumed to be noundef by LLVM IR (since Clang has inserted the noundef attribute). This leads to
ambiguous kernel execution.

##### Workaround

* Skip adding `noundef` attribute to functions tagged with convergent  attribute. Refer to
  <https://reviews.llvm.org/D124158> for more information.

* Introduce shuffle attribute and add it to `__shfl` like APIs at hip headers. Clang can skip adding the
  `noundef` attribute, if it finds that argument is tagged with shuffle attribute. Refer to
  <https://reviews.llvm.org/D125378> for more information.

* Introduce clang builtin for `__shfl` to identify it and skip adding `noundef` attribute.

* Introduce `__builtin_freeze` to use on the relevant arguments in library wrappers. The library/header
  need to insert freezes on the relevant inputs.

#### Issue with applications triggering oversubscription

There is a known issue with applications that trigger oversubscription. A hardware hang occurs when
ROCgdb is used on AMD Instinct™ MI50 and MI100 systems.

This issue is under investigation and will be fixed in a future release.

### Library changes in ROCm 5.2.0

| Library | Version |
|---------|---------|
| hipBLAS | 0.50.0 ⇒ [0.51.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.2.0) |
| hipCUB | 2.11.0 ⇒ [2.11.1](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.2.0) |
| hipFFT | 1.0.7 ⇒ [1.0.8](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.2.0) |
| hipSOLVER | 1.3.0 ⇒ [1.4.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.2.0) |
| hipSPARSE | 2.1.0 ⇒ [2.2.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.2.0) |
| MIVisionX | [2.2.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.2.0) |
| rccl | [2.11.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.2.0) |
| rocALUTION | 2.0.2 ⇒ [2.0.3](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.2.0) |
| rocBLAS | 2.43.0 ⇒ [2.44.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.2.0) |
| rocFFT | 1.0.16 ⇒ [1.0.17](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.2.0) |
| rocPRIM | 2.10.13 ⇒ [2.10.14](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.2.0) |
| rocRAND | 2.10.13 ⇒ [2.10.14](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.2.0) |
| rocSOLVER | 3.17.0 ⇒ [3.18.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.2.0) |
| rocSPARSE | 2.1.0 ⇒ [2.2.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.2.0) |
| rocThrust | 2.14.0 ⇒ [2.15.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.2.0) |
| rocWMMA | [0.7](https://github.com/ROCm/rocWMMA/releases/tag/rocm-5.2.0) |
| Tensile | 4.32.0 ⇒ [4.33.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.2.0) |

#### hipBLAS 0.51.0

hipBLAS 0.51.0 for ROCm 5.2.0

##### Added

- Packages for test and benchmark executables on all supported OSes using CPack.
- Added File/Folder Reorg Changes with backward compatibility support enabled using ROCM-CMAKE wrapper functions
- Added user-specified initialization option to hipblas-bench

##### Fixed

- Fixed version gathering in performance measuring script

#### hipCUB 2.11.1

hipCUB 2.11.1 for ROCm 5.2.0

##### Added

- Packages for tests and benchmark executable on all supported OSes using CPack.

#### hipFFT 1.0.8

hipFFT 1.0.8 for ROCm 5.2.0

##### Added

- Added File/Folder Reorg Changes with backward compatibility support using ROCM-CMAKE wrapper functions.
- Packages for test and benchmark executables on all supported OSes using CPack.

#### hipSOLVER 1.4.0

hipSOLVER 1.4.0 for ROCm 5.2.0

##### Added

- Package generation for test and benchmark executables on all supported OSes using CPack.
- File/Folder Reorg
  - Added File/Folder Reorg Changes with backward compatibility support using ROCM-CMAKE wrapper functions.

##### Fixed

- Fixed the ReadTheDocs documentation generation.

#### hipSPARSE 2.2.0

hipSPARSE 2.2.0 for ROCm 5.2.0

##### Added

- Packages for test and benchmark executables on all supported OSes using CPack.

#### rocALUTION 2.0.3

rocALUTION 2.0.3 for ROCm 5.2.0

##### Added

- Packages for test and benchmark executables on all supported OSes using CPack.

#### rocBLAS 2.44.0

rocBLAS 2.44.0 for ROCm 5.2.0

##### Added

- Packages for test and benchmark executables on all supported OSes using CPack.
- Added Denormal number detection to the Numerical checking helper function to detect denormal/subnormal numbers in the input and the output vectors of rocBLAS level 1 and 2 functions.
- Added Denormal number detection to the Numerical checking helper function to detect denormal/subnormal numbers in the input and the output general matrices of rocBLAS level 2 and 3 functions.
- Added NaN initialization tests to the yaml files of Level 2 rocBLAS batched and strided-batched functions for testing purposes.
- Added memory allocation check to avoid disk swapping during rocblas-test runs by skipping tests.

##### Optimizations

- Improved performance of non-batched and batched her2 for all sizes and data types.
- Improved performance of non-batched and batched amin for all data types using shuffle reductions.
- Improved performance of non-batched and batched amax for all data types using shuffle reductions.
- Improved performance of trsv for all sizes and data types.

##### Changed

- Modifying gemm_ex for HBH (High-precision F16). The alpha/beta data type remains as F32 without narrowing to F16 and expanding back to F32 in the kernel. This change prevents rounding errors due to alpha/beta conversion in situations where alpha/beta are not exactly represented as an F16.
- Modified non-batched and batched asum, nrm2 functions to use shuffle instruction based reductions.
- For gemm, gemm_ex, gemm_ex2 internal API use rocblas_stride datatype for offset.
- For symm, hemm, syrk, herk, dgmm, geam internal API use rocblas_stride datatype for offset.
-  AMD copyright year for all rocBLAS files.
- For gemv (transpose-case), typecasted the &#39;lda&#39;(offset) datatype to size_t during offset calculation to avoid overflow and remove duplicate template functions.

##### Fixed

- For function her2 avoid overflow in offset calculation.
- For trsm when alpha == 0 and on host, allow A to be nullptr.
- Fixed memory access issue in trsv.
- Fixed git pre-commit script to update only AMD copyright year.
- Fixed dgmm, geam test functions to set correct stride values.
- For functions ssyr2k and dsyr2k allow trans == rocblas_operation_conjugate_transpose.
- Fixed compilation error for clients-only build.

##### Removed

- Remove Navi12 (gfx1011) from fat binary.

#### rocFFT 1.0.17

rocFFT 1.0.17 for ROCm 5.2.0

##### Added

- Packages for test and benchmark executables on all supported OSes using CPack.
- Added File/Folder Reorg Changes with backward compatibility support using ROCM-CMAKE wrapper functions.

##### Changed

- Improved reuse of twiddle memory between plans.
- Set a default load/store callback when only one callback
  type is set via the API for improved performance.

##### Optimizations

- Introduced a new access pattern of lds (non-linear) and applied it on
  sbcc kernels len 64 to get performance improvement.

##### Fixed

- Fixed plan creation failure in cases where SBCC kernels would need to write to non-unit-stride buffers.

#### rocPRIM 2.10.14

rocPRIM 2.10.14 for ROCm 5.2.0

##### Added

- Packages for tests and benchmark executable on all supported OSes using CPack.
- Added File/Folder Reorg Changes and Enabled Backward compatibility support using wrapper headers.

#### rocRAND 2.10.14

rocRAND 2.10.14 for ROCm 5.2.0

##### Added

- Backward compatibility for deprecated `#include &lt;rocrand.h&gt;` using wrapper header files.
- Packages for test and benchmark executables on all supported OSes using CPack.

#### rocSOLVER 3.18.0

rocSOLVER 3.18.0 for ROCm 5.2.0

##### Added

- Partial eigenvalue decomposition routines:
    - STEBZ
    - STEIN
- Package generation for test and benchmark executables on all supported OSes using CPack.
- Added tests for multi-level logging
- Added tests for rocsolver-bench client
- File/Folder Reorg
  - Added File/Folder Reorg Changes with backward compatibility support using ROCM-CMAKE wrapper functions.

##### Fixed

- Fixed compatibility with libfmt 8.1

#### rocSPARSE 2.2.0

rocSPARSE 2.2.0 for ROCm 5.2.0

##### Added

- batched SpMM for CSR, COO and Blocked ELL formats.
- Packages for test and benchmark executables on all supported OSes using CPack.
- Clients file importers and exporters.

##### Improved

- Clients code size reduction.
- Clients error handling.
- Clients benchmarking for performance tracking.

##### Changed

- Test adjustments due to roundoff errors.
- Fixing API calls compatiblity with rocPRIM.

##### Known Issues

- none

#### rocThrust 2.15.0

rocThrust 2.15.0 for ROCm 5.2.0

##### Added

- Packages for tests and benchmark executable on all supported OSes using CPack.

#### rocWMMA 0.7

rocWMMA 0.7 for ROCm 5.2.0

##### Added

- Added unit tests for DLRM kernels
- Added GEMM sample
- Added DLRM sample
- Added SGEMV sample
- Added unit tests for cooperative wmma load and stores
- Added unit tests for IOBarrier.h
- Added wmma load/ store  tests for different matrix types (A, B and Accumulator)
- Added more block sizes 1, 2, 4, 8 to test MmaSyncMultiTest
- Added block sizes 4, 8 to test MmaSynMultiLdsTest
- Added support for wmma load / store layouts with block dimension greater than 64
- Added IOShape structure to define the attributes of mapping and layouts for all wmma matrix types
- Added CI testing for rocWMMA

##### Changed

- Renamed wmma to rocwmma in cmake, header files and documentation
- Renamed library files
- Modified Layout.h to use different matrix offset calculations (base offset, incremental offset and cumulative offset)
- Opaque load/store continue to use incrementatl offsets as they fill the entire block
- Cooperative load/store use cumulative offsets as they fill only small portions for the entire block
- Increased Max split counts to 64 for cooperative load/store
- Moved all the wmma definitions, API headers to rocwmma namespace
- Modified wmma fill unit tests to validate all matrix types (A, B, Accumulator)

#### Tensile 4.33.0

Tensile 4.33.0 for ROCm 5.2.0

##### Added

- TensileUpdateLibrary for updating old library logic files
- Support for TensileRetuneLibrary to use sizes from separate file
- ZGEMM DirectToVgpr/DirectToLds/StoreCInUnroll/MIArchVgpr support
- Tests for denorm correctness
- Option to write different architectures to different TensileLibrary files

##### Optimizations

- Optimize MessagePackLoadLibraryFile by switching to fread
- DGEMM tail loop optimization for PrefetchAcrossPersistentMode=1/DirectToVgpr

##### Changed

- Alpha/beta datatype remains as F32 for HPA HGEMM
- Force assembly kernels to not flush denorms
- Use hipDeviceAttributePhysicalMultiProcessorCount as multiProcessorCount

##### Fixed

- Fix segmentation fault when run i8 datatype with TENSILE_DB=0x80

-------------------

## ROCm 5.1.3


### Library changes in ROCm 5.1.3

| Library | Version |
|---------|---------|
| hipBLAS | [0.50.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.1.3) |
| hipCUB | [2.11.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.1.3) |
| hipFFT | [1.0.7](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.1.3) |
| hipRAND | [2.10.13](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.1.3) |
| hipSOLVER | [1.3.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.1.3) |
| hipSPARSE | [2.1.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.1.3) |
| MIVisionX | 2.1.0 ⇒ [2.2.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.1.3) |
| rccl | [2.11.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.1.3) |
| rocALUTION | [2.0.2](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.1.3) |
| rocBLAS | [2.43.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.1.3) |
| rocFFT | [1.0.16](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.1.3) |
| rocPRIM | [2.10.13](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.1.3) |
| rocRAND | [2.10.13](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.1.3) |
| rocSOLVER | [3.17.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.1.3) |
| rocSPARSE | [2.1.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.1.3) |
| rocThrust | [2.14.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.1.3) |
| Tensile | [4.32.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.1.3) |

#### MIVisionX 2.2.0

MIVisionX for ROCm 5.1.3

##### Added

*

##### Optimizations

*

##### Changed

* DockerFiles - Updates to install ROCm 5.1.1 Plus

##### Fixed

*

##### Tested Configurations

* Windows `10` / `11`
* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `7` / `8`
  + SLES - `15-SP2`
* ROCm: rocm-core - `5.1.1.50101-48 `
* miopen-hip - `2.16.0.50101-48`
* miopen-opencl - `2.16.0.50101-48`
* migraphx - `2.1.0.50101-48`
* Protobuf - [V3.12.0](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.0)
* OpenCV - [4.5.5](https://github.com/opencv/opencv/releases/tag/4.5.5)
* RPP - [0.93](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/0.93)
* FFMPEG - [n4.0.4](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.0.4)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.3.0`

##### Known Issues

*

##### Mivisionx Dependency Map

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `new component added to the level`
- ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                                                                                              | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `librali.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `rali_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

-------------------

## ROCm 5.1.1


### Library changes in ROCm 5.1.1

| Library | Version |
|---------|---------|
| hipBLAS | [0.50.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.1.1) |
| hipCUB | [2.11.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.1.1) |
| hipFFT | [1.0.7](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.1.1) |
| hipRAND | [2.10.13](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.1.1) |
| hipSOLVER | [1.3.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.1.1) |
| hipSPARSE | [2.1.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.1.1) |
| MIVisionX | [2.1.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.1.1) |
| rccl | [2.11.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.1.1) |
| rocALUTION | [2.0.2](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.1.1) |
| rocBLAS | [2.43.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.1.1) |
| rocFFT | [1.0.16](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.1.1) |
| rocPRIM | [2.10.13](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.1.1) |
| rocRAND | [2.10.13](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.1.1) |
| rocSOLVER | [3.17.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.1.1) |
| rocSPARSE | [2.1.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.1.1) |
| rocThrust | [2.14.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.1.1) |
| Tensile | [4.32.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.1.1) |

-------------------

## ROCm 5.1.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-blanks-blockquote -->
### What's new in this release

#### HIP enhancements

The ROCm v5.1 release consists of the following HIP enhancements.

##### HIP installation guide updates

The HIP installation guide now includes information on installing and building HIP from source on
AMD and NVIDIA platforms.

Refer to the HIP Installation Guide v5.1 for more details.

##### Support for HIP graph

ROCm v5.1 extends support for HIP Graph.

##### Planned changes for HIP in future releases

###### Separation of hiprtc (libhiprtc) library from hip runtime (amdhip64)

On ROCm/Linux, to maintain backward compatibility, the hipruntime library (amdhip64) will continue
to include hiprtc symbols in future releases. The backward compatible support may be discontinued by
removing hiprtc symbols from the hipruntime library (amdhip64) in the next major release.

###### hipDeviceProp_t structure enhancements

Changes to the hipDeviceProp_t structure in the next major release may result in backward
incompatibility. More details on these changes will be provided in subsequent releases.

#### ROCDebugger enhancements

##### Multi-language source-level debugger

The compiler now generates a source-level variable and function argument debug information.

The accuracy is guaranteed if the compiler options `-g -O0` are used and apply only to HIP.

This enhancement enables ROCDebugger users to interact with the HIP source-level variables and
function arguments.

:::{note}
The newly-suggested compiler -g option must be used instead of the previously-suggested `-ggdb`
option. Although the effect of these two options is currently equivalent, this is not guaranteed for the
future, as changes might be made by the upstream LLVM community.
:::

##### Machine interface lanes support

ROCDebugger Machine Interface (MI) extends support to lanes, which includes the following
enhancements:

* Added a new -lane-info command, listing the current thread's lanes.

* The -thread-select command now supports a lane switch to switch to a specific lane of a thread:

  ```sh
  -thread-select -l LANE THREAD
  ```

* The =thread-selected notification gained a lane-id attribute. This enables the frontend to know which
  lane of the thread was selected.

* The *stopped asynchronous record gained lane-id and hit-lanes attributes.  The former indicates
  which lane is selected, and the latter indicates which lanes explain the stop.

* MI commands now accept a global --lane option, similar to the global --thread and --frame options.

* MI varobjs are now lane-aware.

For more information, refer to the ROC Debugger User Guide at {doc}`ROCgdb <rocgdb:index>`.

##### Enhanced - clone-inferior command

The clone-inferior command now ensures that the TTY, CMD, ARGS, and AMDGPU PRECISE-MEMORY
settings are copied from the original inferior to the new one.  All modifications to the environment
variables done using the 'set environment' or 'unset environment' commands are also copied to the
new inferior.

#### MIOpen support for RDNA GPUs

This release includes support for AMD Radeon™ Pro W6800, in addition to other bug fixes and
performance improvements as listed below:

* MIOpen now supports RDNA GPUs!! (via MIOpen PRs 973, 780, 764, 740, 739, 677, 660, 653, 493, 498)

* Fixed a correctness issue with ImplicitGemm algorithm

* Updated the performance data for new kernel versions

* Improved MIOpen build time by splitting large kernel header files

* Fixed an issue in reduction kernels for padded tensors

* Various other bug fixes and performance improvements

For more information, see {doc}`Documentation <miopen:index>`.

#### Checkpoint restore support with CRIU

The new Checkpoint Restore in Userspace (CRIU) functionality is implemented to support AMD GPU
and ROCm applications.

CRIU is a userspace tool to Checkpoint and Restore an application.

CRIU lacked the support for checkpoint restore applications that used device files such as a GPU. With
this ROCm release, CRIU is enhanced with a new plugin to support AMD GPUs, which includes:

* Single and Multi GPU systems (Gfx9)
* Checkpoint / Restore on a different system
* Checkpoint / Restore inside a docker container
* PyTorch
* TensorFlow
* Using CRIU Image Streamer

For more information, refer to
<https://github.com/checkpoint-restore/criu/tree/criu-dev/plugins/amdgpu>

:::{note}
The CRIU plugin (amdgpu_plugin) is merged upstream with the CRIU repository. The KFD kernel
patches are also available upstream with the amd-staging-drm-next branch (public) and the ROCm 5.1
release branch.
:::

:::{note}
This is a Beta release of the Checkpoint and Restore functionality, and some features are not available
in this release.
:::

For more information, refer to the following websites:

* <https://github.com/ROCm/criu/blob/amdgpu_plugin-03252022/Documentation/amdgpu_plugin.txt>

* <https://criu.org/Main_Page>

### Defect fixes

The following defects are fixed in this release.

#### Driver fails to load after installation

The issue with the driver failing to load after ROCm installation is now fixed.

The driver installs successfully, and the server reboots with working rocminfo and clinfo.

#### ROCDebugger defect fixes

##### Breakpoints in GPU kernel code before kernel is loaded

Previously, setting a breakpoint in device code by line number before the device code was loaded into
the program resulted in ROCgdb incorrectly moving the breakpoint to the first following line that
contains host code.

Now, the breakpoint is left pending.  When the GPU kernel gets loaded, the breakpoint resolves to a
location in the kernel.

##### Registers invalidated after write

Previously, the stale just-written value was presented as a current value.

ROCgdb now invalidates the cached values of registers whose content might differ after being written.
For example, registers with read-only bits.

ROCgdb also invalidates all volatile registers when a volatile register is written.  For example, writing
VCC invalidates the content of STATUS as STATUS.VCCZ may change.

##### Scheduler-locking and GPU wavefronts

When scheduler-locking is in effect, new wavefronts created by a resumed thread, CPU, or GPU
wavefront, are held in the halt state. For example, the "set scheduler-locking" command.

##### ROCDebugger fails before completion of kernel execution

It was possible (although erroneous) for a debugger to load GPU code in memory, send it to the
device, start executing a kernel on the device, and dispose of the original code before the kernel had
finished execution. If a breakpoint was hit after this point, the debugger failed with an internal error
while trying to access the debug information.

This issue is now fixed by ensuring that the debugger keeps a local copy of the original code and
debug information.

### Known issues

#### Random memory access fault errors observed while running math libraries unit tests

**Issue:** Random memory access fault issues are observed while running Math libraries unit tests.
This issue is encountered in ROCm v5.0, ROCm v5.0.1, and ROCm v5.0.2.

Note, the faults only occur in the SRIOV environment.

**Workaround:** Use SDMA to update the page table. The Guest set up steps are as follows:

```sh
sudo modprobe amdgpu vm_update_mode=0
```

To verify, use

**Guest:**

```sh
cat /sys/module/amdgpu/parameters/vm_update_mode 0
```

Where expectation is 0.

#### CU masking causes application to freeze

Using CU Masking results in an application freeze or runs exceptionally slowly. This issue is noticed
only in the GFX10 suite of products. Note, this issue is observed only in GFX10 suite of products.

This issue is under active investigation at this time.

#### Failed checkpoint in Docker containers

A defect with Ubuntu images kernel-5.13-30-generic and kernel-5.13-35-generic with Overlay FS
results in incorrect reporting of the mount ID.

This issue with Ubuntu causes CRIU checkpointing to fail in Docker containers.

As a workaround, use an older version of the kernel. For example, Ubuntu 5.11.0-46-generic.

#### Issue with restoring workloads using cooperative groups feature

Workloads that use the cooperative groups function to ensure all waves can be resident at the same
time may fail to restore correctly. This issue is under investigation and will be fixed in a future release.

#### Radeon Pro V620 and W6800 workstation GPUs

##### No support for ROCDebugger on SRIOV

ROCDebugger is not supported in the SRIOV environment on any GPU.

This is a known issue and will be fixed in a future release.

#### Random error messages in ROCm SMI for SR-IOV

Random error messages are generated by unsupported functions or commands.

This is a known issue and will be fixed in a future release.

### Library changes in ROCm 5.1.0

| Library | Version |
|---------|---------|
| hipBLAS | 0.49.0 ⇒ [0.50.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.1.0) |
| hipCUB | 2.10.13 ⇒ [2.11.0](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.1.0) |
| hipFFT | 1.0.4 ⇒ [1.0.7](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.1.0) |
| hipRAND | [2.10.13](https://github.com/ROCm/hipRAND/releases/tag/rocm-5.1.0) |
| hipSOLVER | 1.2.0 ⇒ [1.3.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.1.0) |
| hipSPARSE | 2.0.0 ⇒ [2.1.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.1.0) |
| MIVisionX | [2.1.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.1.0) |
| rccl | 2.10.3 ⇒ [2.11.4](https://github.com/ROCm/rccl/releases/tag/rocm-5.1.0) |
| rocALUTION | 2.0.1 ⇒ [2.0.2](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.1.0) |
| rocBLAS | 2.42.0 ⇒ [2.43.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.1.0) |
| rocFFT | 1.0.13 ⇒ [1.0.16](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.1.0) |
| rocPRIM | 2.10.12 ⇒ [2.10.13](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.1.0) |
| rocRAND | 2.10.12 ⇒ [2.10.13](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.1.0) |
| rocSOLVER | 3.16.0 ⇒ [3.17.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.1.0) |
| rocSPARSE | 2.0.0 ⇒ [2.1.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.1.0) |
| rocThrust | 2.13.0 ⇒ [2.14.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.1.0) |
| Tensile | 4.31.0 ⇒ [4.32.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.1.0) |

#### hipBLAS 0.50.0

hipBLAS 0.50.0 for ROCm 5.1.0

##### Added

- Added library version and device information to hipblas-test output
- Added --rocsolver-path command line option to choose path to pre-built rocSOLVER, as
  absolute or relative path
- Added --cmake_install command line option to update cmake to minimum version if required
- Added cmake-arg parameter to pass in cmake arguments while building
- Added infrastructure to support readthedocs hipBLAS documentation.

##### Fixed

- Added hipblasVersionMinor define. hipblaseVersionMinor remains defined
  for backwards compatibility.
- Doxygen warnings in hipblas.h header file.

##### Changed

- rocblas-path command line option can be specified as either absolute or relative path
- Help message improvements in install.sh and rmake.py
- Updated googletest dependency from 1.10.0 to 1.11.0

#### hipCUB 2.11.0

hipCUB 2.11.0 for ROCm 5.1.0

##### Added

- Device segmented sort
- Warp merge sort, WarpMask and thread sort from cub 1.15.0 supported in hipCUB
- Device three way partition

##### Changed

- Device_scan and device_segmented_scan: inclusive_scan now uses the input-type as accumulator-type, exclusive_scan uses initial-value-type.
  - This particularly changes behaviour of small-size input types with large-size output types (e.g. short input, int output).
  - And low-res input with high-res output (e.g. float input, double output)
  - Block merge sort no longer supports non power of two blocksizes

#### hipFFT 1.0.7

hipFFT 1.0.7 for ROCm 5.1.0

##### Changed

- Use fft_params struct for accuracy and benchmark clients.

#### hipRAND 2.10.13

hipRAND 2.10.13 for ROCm 5.1.0

##### Changed

- Header file installation location changed to match other libraries.
  - Using the `hiprand.h` header file should now use `#include &lt;hiprand/hiprand.h&gt;`, rather than `#include &lt;hiprand.h&gt;`
  - Symlinks are included for backwards compatibility

#### hipSOLVER 1.3.0

hipSOLVER 1.3.0 for ROCm 5.1.0

##### Added

- Added functions
  - gels
    - hipsolverSSgels_bufferSize, hipsolverDDgels_bufferSize, hipsolverCCgels_bufferSize, hipsolverZZgels_bufferSize
    - hipsolverSSgels, hipsolverDDgels, hipsolverCCgels, hipsolverZZgels
- Added library version and device information to hipsolver-test output.
- Added compatibility API with hipsolverDn prefix.
- Added compatibility-only functions
  - gesvdj
    - hipsolverDnSgesvdj_bufferSize, hipsolverDnDgesvdj_bufferSize, hipsolverDnCgesvdj_bufferSize, hipsolverDnZgesvdj_bufferSize
    - hipsolverDnSgesvdj, hipsolverDnDgesvdj, hipsolverDnCgesvdj, hipsolverDnZgesvdj
  - gesvdjBatched
    - hipsolverDnSgesvdjBatched_bufferSize, hipsolverDnDgesvdjBatched_bufferSize, hipsolverDnCgesvdjBatched_bufferSize, hipsolverDnZgesvdjBatched_bufferSize
    - hipsolverDnSgesvdjBatched, hipsolverDnDgesvdjBatched, hipsolverDnCgesvdjBatched, hipsolverDnZgesvdjBatched
  - syevj
    - hipsolverDnSsyevj_bufferSize, hipsolverDnDsyevj_bufferSize, hipsolverDnCheevj_bufferSize, hipsolverDnZheevj_bufferSize
    - hipsolverDnSsyevj, hipsolverDnDsyevj, hipsolverDnCheevj, hipsolverDnZheevj
  - syevjBatched
    - hipsolverDnSsyevjBatched_bufferSize, hipsolverDnDsyevjBatched_bufferSize, hipsolverDnCheevjBatched_bufferSize, hipsolverDnZheevjBatched_bufferSize
    - hipsolverDnSsyevjBatched, hipsolverDnDsyevjBatched, hipsolverDnCheevjBatched, hipsolverDnZheevjBatched
  - sygvj
    - hipsolverDnSsygvj_bufferSize, hipsolverDnDsygvj_bufferSize, hipsolverDnChegvj_bufferSize, hipsolverDnZhegvj_bufferSize
    - hipsolverDnSsygvj, hipsolverDnDsygvj, hipsolverDnChegvj, hipsolverDnZhegvj

##### Changed

- The rocSOLVER backend now allows hipsolverXXgels and hipsolverXXgesv to be called in-place when B == X.
- The rocSOLVER backend now allows rwork to be passed as a null pointer to hipsolverXgesvd.

##### Fixed

- bufferSize functions will now return HIPSOLVER_STATUS_NOT_INITIALIZED instead of HIPSOLVER_STATUS_INVALID_VALUE when both handle and lwork are null.
- Fixed rare memory allocation failure in syevd/heevd and sygvd/hegvd caused by improper workspace array allocation outside of rocSOLVER.

#### hipSPARSE 2.1.0

hipSPARSE 2.1.0 for ROCm 5.1.0

##### Added

- Added gtsv_interleaved_batch and gpsv_interleaved_batch routines
- Add SpGEMM_reuse

##### Changed

- Changed BUILD_CUDA with USE_CUDA in install script and cmake files
- Update googletest to 11.1

##### Improved

- Fixed a bug in SpMM Alg versioning

##### Known Issues

- none

#### rccl 2.11.4

RCCL 2.11.4 for ROCm 5.1.0

##### Added

- Compatibility with NCCL 2.11.4

##### Known Issues

- Managed memory is not currently supported for clique-based kernels

#### rocALUTION 2.0.2

rocALUTION 2.0.2 for ROCm 5.1.0

##### Added

- Added out-of-place matrix transpose functionality
- Added LocalVector&lt;bool&gt;

#### rocBLAS 2.43.0

rocBLAS 2.43.0 for ROCm 5.1.0

##### Added

- Option to install script for number of jobs to use for rocBLAS and Tensile compilation (-j, --jobs)
- Option to install script to build clients without using any Fortran (--clients_no_fortran)
- rocblas_client_initialize function, to perform rocBLAS initialize for clients(benchmark/test) and report the execution time.
- Added tests for output of reduction functions when given bad input
- Added user specified initialization (rand_int/trig_float/hpl) for initializing matrices and vectors in rocblas-bench

##### Optimizations

- Improved performance of trsm with side == left and n == 1
- Improved perforamnce of trsm with side == left and m &lt;= 32 along with side == right and n &lt;= 32

##### Changed

- For syrkx and trmm internal API use rocblas_stride datatype for offset
- For non-batched and batched gemm_ex functions if the C matrix pointer equals the D matrix pointer (aliased) their respective type and leading dimension arguments must now match
- Test client dependencies updated to GTest 1.11
- non-global false positives reported by cppcheck from file based suppression to inline suppression. File based suppression will only be used for global false positives.
- Help menu messages in install.sh
- For ger function, typecast the &#39;lda&#39;(offset) datatype to size_t during offset calculation to avoid overflow and remove duplicate template functions.
- Modified default initialization from rand_int to hpl for initializing matrices and vectors in rocblas-bench

##### Fixed

- For function trmv (non-transposed cases) avoid overflow in offset calculation
- Fixed cppcheck errors/warnings
- Fixed doxygen warnings

#### rocFFT 1.0.16

rocFFT 1.0.16 for ROCm 5.1.0

##### Changed

- Supported unaligned tile dimension for SBRC_2D kernels.
- Improved (more RAII) test and benchmark infrastructure.
- Enabled runtime compilation of length-2304 FFT kernel during plan creation.

##### Optimizations

- Optimized more large 1D cases by using L1D_CC plan.
- Optimized 3D 200^3 C2R case.
- Optimized 1D 2^30 double precision on MI200.

##### Fixed

- Fixed correctness of some R2C transforms with unusual strides.

##### Removed

- The hipFFT API (header) has been removed from after a long deprecation period.  Please use the [hipFFT](https://github.com/ROCmSoftwarePlatform/hipFFT) package/repository to obtain the hipFFT API.

#### rocPRIM 2.10.13

rocPRIM 2.10.13 for ROCm 5.1.0

##### Fixed

- Fixed radix sort int64_t bug introduced in [2.10.11]

##### Added

- Future value
- Added device partition_three_way to partition input to three output iterators based on two predicates

##### Changed

- The reduce/scan algorithm precision issues in the tests has been resolved for half types.

##### Known Issues

- device_segmented_radix_sort unit test failing for HIP on Windows

#### rocRAND 2.10.13

rocRAND 2.10.13 for ROCm 5.1.0

##### Added

- Generating a random sequence different sizes now produces the same sequence without gaps
  indepent of how many values are generated per call.
  - Only in the case of XORWOW, MRG32K3A, PHILOX4X32_10, SOBOL32 and SOBOL64
  - This only holds true if the size in each call is a divisor of the distributions
    `output_width` due to performance
  - Similarly the output pointer has to be aligned to `output_width * sizeof(output_type)`

##### Changed

- [hipRAND](https://github.com/ROCmSoftwarePlatform/hipRAND.git) split into a separate package
- Header file installation location changed to match other libraries.
  - Using the `rocrand.h` header file should now use `#include &lt;rocrand/rocrand.h&gt;`, rather than `#include &lt;rocrand/rocrand.h&gt;`
- rocRAND still includes hipRAND using a submodule
  - The rocRAND package also sets the provides field with hipRAND, so projects which require hipRAND can begin to specify it.

##### Fixed

- Fix offset behaviour for XORWOW, MRG32K3A and PHILOX4X32_10 generator, setting offset now
  correctly generates the same sequence starting from the offset.
  - Only uniform int and float will work as these can be generated with a single call to the generator

##### Known Issues

- kernel_xorwow unit test is failing for certain GPU architectures.

#### rocSOLVER 3.17.0

rocSOLVER 3.17.0 for ROCm 5.1.0

##### Optimized

- Optimized non-pivoting and batch cases of the LU factorization

##### Fixed

- Fixed missing synchronization in SYTRF with `rocblas_fill_lower` that could potentially
  result in incorrect pivot values.
- Fixed multi-level logging output to file with the `ROCSOLVER_LOG_PATH`,
  `ROCSOLVER_LOG_TRACE_PATH`, `ROCSOLVER_LOG_BENCH_PATH` and `ROCSOLVER_LOG_PROFILE_PATH`
  environment variables.
- Fixed performance regression in the batched LU factorization of tiny matrices

#### rocSPARSE 2.1.0

rocSPARSE 2.1.0 for ROCm 5.1.0

##### Added

- gtsv_interleaved_batch
- gpsv_interleaved_batch
- SpGEMM_reuse
- Allow copying of mat info struct

##### Improved

- Optimization for SDDMM
- Allow unsorted matrices in csrgemm multipass algorithm

##### Known Issues

- none

#### rocThrust 2.14.0

rocThrust 2.14.0 for ROCm 5.1.0

##### Added

- Updated to match upstream Thrust 1.15.0

##### Known Issues

- async_copy, partition, and stable_sort_by_key unit tests are failing on HIP on Windows.

#### Tensile 4.32.0

Tensile 4.32.0 for ROCm 5.1.0

##### Added

- Better control of parallelism to control memory usage
- Support for multiprocessing on Windows for TensileCreateLibrary
- New JSD metric and metric selection functionality
- Initial changes to support two-tier solution selection

##### Optimized

- Optimized runtime of TensileCreateLibraries by reducing max RAM usage
- StoreCInUnroll additional optimizations plus adaptive K support
- DGEMM NN optimizations with PrefetchGlobalRead(PGR)=2 support

##### Changed

- Update Googletest to 1.11.0

##### Removed

- Remove no longer supported benchmarking steps

-------------------

## ROCm 5.0.2
<!-- markdownlint-disable first-line-h1 -->
### Defect fixes

The following defects are fixed in the ROCm v5.0.2 release.

#### Issue with hostcall facility in HIP runtime

In ROCm v5.0, when using the “assert()” call in a HIP kernel, the compiler may sometimes fail to emit
kernel metadata related to the hostcall facility, which results in incomplete initialization of the hostcall
facility in the HIP runtime. This can cause the HIP kernel to crash when it attempts to execute the
“assert()” call.

The root cause was an incorrect check in the compiler to determine whether the hostcall facility is
required by the kernel. This is fixed in the ROCm v5.0.2 release.

The resolution includes a compiler change, which emits the required metadata by default, unless the
compiler can prove that the hostcall facility is not required by the kernel. This ensures that the
“assert()” call never fails.

:::{note}
This fix may lead to breakage in some OpenMP offload use cases, which use print inside a target region
and result in an abort in device code. The issue will be fixed in a future release.
:::

The compatibility matrix in the [Deep-learning guide](./how-to/deep-learning-rocm.md) is updated for
ROCm v5.0.2.

### Library changes in ROCm 5.0.2

| Library | Version |
|---------|---------|
| hipBLAS | [0.49.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.0.2) |
| hipCUB | [2.10.13](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.0.2) |
| hipFFT | [1.0.4](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.0.2) |
| hipSOLVER | [1.2.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.0.2) |
| hipSPARSE | [2.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.0.2) |
| MIVisionX | 2.0.1 ⇒ [2.1.0](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.0.2) |
| rccl | [2.10.3](https://github.com/ROCm/rccl/releases/tag/rocm-5.0.2) |
| rocALUTION | [2.0.1](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.0.2) |
| rocBLAS | [2.42.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.0.2) |
| rocFFT | [1.0.13](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.0.2) |
| rocPRIM | [2.10.12](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.0.2) |
| rocRAND | [2.10.12](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.0.2) |
| rocSOLVER | [3.16.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.0.2) |
| rocSPARSE | [2.0.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.0.2) |
| rocThrust | [2.13.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.0.2) |
| Tensile | [4.31.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.0.2) |

#### MIVisionX 2.1.0

MIVisionX for ROCm 5.0.2

##### Added

* New Tests - AMD_MEDIA

##### Optimizations

* Readme Updates
* HIP Buffer Transfer - Eliminate cupy usage

##### Changed

* **Backend** - Default Backend set to `HIP`

##### Fixed

* Minor bugs and warnings
* AMD_MEDIA - Bug Fixes

##### Tested Configurations

* Windows 10
* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `7` / `8`
  + SLES - `15-SP2`
* ROCm: rocm-dev - `4.5.2.40502-164`
* rocm-cmake - [rocm-4.2.0](https://github.com/RadeonOpenCompute/rocm-cmake/releases/tag/rocm-4.2.0)
* MIOpenGEMM - [1.1.5](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/releases/tag/1.1.5)
* MIOpen - [2.14.0](https://github.com/ROCmSoftwarePlatform/MIOpen/releases/tag/2.14.0)
* Protobuf - [V3.12.0](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.0)
* OpenCV - [4.5.5](https://github.com/opencv/opencv/releases/tag/4.5.5)
* RPP - [0.92](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/0.92)
* FFMPEG - [n4.0.4](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.0.4)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.0.0`

##### Known Issues

* `TBD`

##### Mivisionx Dependency Map

**Docker Image:** `sudo docker build -f docker/ubuntu20/{DOCKER_LEVEL_FILE_NAME}.dockerfile -t {mivisionx-level-NUMBER} .`

- ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `new component added to the level`
- ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                   | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Docker Tag                                                                                                                                                                                                     |
| ----------- | -------------------------------------------------- | ------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                      | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities           | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                                                                                              | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4              | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `librali.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `rali_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

-------------------

## ROCm 5.0.1
<!-- markdownlint-disable first-line-h1 -->
### Deprecations and warnings

#### Refactor of HIPCC/HIPCONFIG

In prior ROCm releases, by default, the hipcc/hipconfig Perl scripts were used to identify and set target
compiler options, target platform, compiler, and runtime appropriately.

In ROCm v5.0.1, hipcc.bin and hipconfig.bin have been added as the compiled binary implementations
of the hipcc and hipconfig. These new binaries are currently a work-in-progress, considered, and
marked as experimental. ROCm plans to fully transition to hipcc.bin and hipconfig.bin in the a future
ROCm release. The existing hipcc and hipconfig Perl scripts are renamed to `hipcc.pl` and `hipconfig.pl`
respectively. New top-level hipcc and hipconfig Perl scripts are created, which can switch between the
Perl script or the compiled binary based on the environment variable `HIPCC_USE_PERL_SCRIPT`.

In ROCm 5.0.1, by default, this environment variable is set to use hipcc and hipconfig through the Perl
scripts.

Subsequent Perl scripts will no longer be available in ROCm in a future release.

### Library changes in ROCm 5.0.1

| Library | Version |
|---------|---------|
| hipBLAS | [0.49.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.0.1) |
| hipCUB | [2.10.13](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.0.1) |
| hipFFT | [1.0.4](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.0.1) |
| hipSOLVER | [1.2.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.0.1) |
| hipSPARSE | [2.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.0.1) |
| MIVisionX | [2.0.1](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.0.1) |
| rccl | [2.10.3](https://github.com/ROCm/rccl/releases/tag/rocm-5.0.1) |
| rocALUTION | [2.0.1](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.0.1) |
| rocBLAS | [2.42.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.0.1) |
| rocFFT | [1.0.13](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.0.1) |
| rocPRIM | [2.10.12](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.0.1) |
| rocRAND | [2.10.12](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.0.1) |
| rocSOLVER | [3.16.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.0.1) |
| rocSPARSE | [2.0.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.0.1) |
| rocThrust | [2.13.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.0.1) |
| Tensile | [4.31.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.0.1) |

-------------------

## ROCm 5.0.0
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable no-blanks-blockquote -->
### What's new in this release

#### HIP enhancements

The ROCm v5.0 release consists of the following HIP enhancements.

##### HIP installation guide updates

The HIP Installation Guide is updated to include building HIP from source on the NVIDIA platform.

Refer to the HIP Installation Guide v5.0 for more details.

##### Managed memory allocation

Managed memory, including the `__managed__` keyword, is now supported in the HIP combined host/device compilation. Through unified memory allocation, managed memory allows data to be shared and accessible to both the CPU and GPU using a single pointer. The allocation is managed by the AMD GPU driver using the Linux Heterogeneous Memory Management (HMM) mechanism. The user can call managed memory API hipMallocManaged to allocate a large chunk of HMM memory, execute kernels on a device, and fetch data between the host and device as needed.

:::{note}
In a HIP application,  it is recommended to do a capability check before calling the managed memory APIs. For example,

 ```cpp
 int managed_memory = 0;
 HIPCHECK(hipDeviceGetAttribute(&managed_memory,
   hipDeviceAttributeManagedMemory,p_gpuDevice));
 if (!managed_memory ) {
   printf ("info: managed memory access not supported on the device %d\n Skipped\n", p_gpuDevice);
 }
 else {
   HIPCHECK(hipSetDevice(p_gpuDevice));
   HIPCHECK(hipMallocManaged(&Hmm, N * sizeof(T)));
 . . .
 }
 ```
:::

:::{note}
The managed memory capability check may not be necessary; however, if HMM is not supported, managed malloc will fall back to using system memory. Other managed memory API calls will, then, have
:::

Refer to the HIP API documentation for more details on managed memory APIs.

For the application, see

<https://github.com/ROCm/HIP/blob/rocm-4.5.x/tests/src/runtimeApi/memory/hipMallocManaged.cpp>

#### New environment variable

The following new environment variable is added in this release:

| Environment Variable | Value                 | Description |
|----------------------|-----------------------|-------------|
| HSA_COOP_CU_COUNT    | 0 or 1 (default is 0) | Some processors support more CUs than can reliably be used in a cooperative dispatch. Setting the environment variable HSA_COOP_CU_COUNT to 1 will cause ROCr to return the correct CU count for cooperative groups through the HSA_AMD_AGENT_INFO_COOPERATIVE_COMPUTE_UNIT_COUNT attribute of hsa_agent_get_info(). Setting HSA_COOP_CU_COUNT to other values, or leaving it unset, will cause ROCr to return the same CU count for the attributes HSA_AMD_AGENT_INFO_COOPERATIVE_COMPUTE_UNIT_COUNT and HSA_AMD_AGENT_INFO_COMPUTE_UNIT_COUNT. Future ROCm releases will make HSA_COOP_CU_COUNT=1 the default. |

### Breaking changes

#### Runtime breaking change

Re-ordering of the enumerated type in hip_runtime_api.h to better match NV.  See below for the difference in enumerated types.

ROCm software will be affected if any of the defined enums listed below are used in the code.  Applications built with ROCm v5.0 enumerated types will work with a ROCm 4.5.2 driver. However, an undefined behavior error will occur with a ROCm v4.5.2 application that uses these enumerated types with a ROCm 5.0 runtime.

```diff
typedef enum hipDeviceAttribute_t {
-    hipDeviceAttributeMaxThreadsPerBlock,       ///< Maximum number of threads per block.
-    hipDeviceAttributeMaxBlockDimX,             ///< Maximum x-dimension of a block.
-    hipDeviceAttributeMaxBlockDimY,             ///< Maximum y-dimension of a block.
-    hipDeviceAttributeMaxBlockDimZ,             ///< Maximum z-dimension of a block.
-    hipDeviceAttributeMaxGridDimX,              ///< Maximum x-dimension of a grid.
-    hipDeviceAttributeMaxGridDimY,              ///< Maximum y-dimension of a grid.
-    hipDeviceAttributeMaxGridDimZ,              ///< Maximum z-dimension of a grid.
-    hipDeviceAttributeMaxSharedMemoryPerBlock,  ///< Maximum shared memory available per block in
-                                                ///< bytes.
-    hipDeviceAttributeTotalConstantMemory,      ///< Constant memory size in bytes.
-    hipDeviceAttributeWarpSize,                 ///< Warp size in threads.
-    hipDeviceAttributeMaxRegistersPerBlock,  ///< Maximum number of 32-bit registers available to a
-                                             ///< thread block. This number is shared by all thread
-                                             ///< blocks simultaneously resident on a
-                                             ///< multiprocessor.
-    hipDeviceAttributeClockRate,             ///< Peak clock frequency in kilohertz.
-    hipDeviceAttributeMemoryClockRate,       ///< Peak memory clock frequency in kilohertz.
-    hipDeviceAttributeMemoryBusWidth,        ///< Global memory bus width in bits.
-    hipDeviceAttributeMultiprocessorCount,   ///< Number of multiprocessors on the device.
-    hipDeviceAttributeComputeMode,           ///< Compute mode that device is currently in.
-    hipDeviceAttributeL2CacheSize,  ///< Size of L2 cache in bytes. 0 if the device doesn't have L2
-                                    ///< cache.
-    hipDeviceAttributeMaxThreadsPerMultiProcessor,  ///< Maximum resident threads per
-                                                    ///< multiprocessor.
-    hipDeviceAttributeComputeCapabilityMajor,       ///< Major compute capability version number.
-    hipDeviceAttributeComputeCapabilityMinor,       ///< Minor compute capability version number.
-    hipDeviceAttributeConcurrentKernels,  ///< Device can possibly execute multiple kernels
-                                          ///< concurrently.
-    hipDeviceAttributePciBusId,           ///< PCI Bus ID.
-    hipDeviceAttributePciDeviceId,        ///< PCI Device ID.
-    hipDeviceAttributeMaxSharedMemoryPerMultiprocessor,  ///< Maximum Shared Memory Per
-                                                         ///< Multiprocessor.
-    hipDeviceAttributeIsMultiGpuBoard,                   ///< Multiple GPU devices.
-    hipDeviceAttributeIntegrated,                        ///< iGPU
-    hipDeviceAttributeCooperativeLaunch,                 ///< Support cooperative launch
-    hipDeviceAttributeCooperativeMultiDeviceLaunch,      ///< Support cooperative launch on multiple devices
-    hipDeviceAttributeMaxTexture1DWidth,    ///< Maximum number of elements in 1D images
-    hipDeviceAttributeMaxTexture2DWidth,    ///< Maximum dimension width of 2D images in image elements
-    hipDeviceAttributeMaxTexture2DHeight,   ///< Maximum dimension height of 2D images in image elements
-    hipDeviceAttributeMaxTexture3DWidth,    ///< Maximum dimension width of 3D images in image elements
-    hipDeviceAttributeMaxTexture3DHeight,   ///< Maximum dimensions height of 3D images in image elements
-    hipDeviceAttributeMaxTexture3DDepth,    ///< Maximum dimensions depth of 3D images in image elements
+    hipDeviceAttributeCudaCompatibleBegin = 0,

-    hipDeviceAttributeHdpMemFlushCntl,      ///< Address of the HDP_MEM_COHERENCY_FLUSH_CNTL register
-    hipDeviceAttributeHdpRegFlushCntl,      ///< Address of the HDP_REG_COHERENCY_FLUSH_CNTL register
+    hipDeviceAttributeEccEnabled = hipDeviceAttributeCudaCompatibleBegin, ///< Whether ECC support is enabled.
+    hipDeviceAttributeAccessPolicyMaxWindowSize,        ///< Cuda only. The maximum size of the window policy in bytes.
+    hipDeviceAttributeAsyncEngineCount,                 ///< Cuda only. Asynchronous engines number.
+    hipDeviceAttributeCanMapHostMemory,                 ///< Whether host memory can be mapped into device address space
+    hipDeviceAttributeCanUseHostPointerForRegisteredMem,///< Cuda only. Device can access host registered memory
+                                                        ///< at the same virtual address as the CPU
+    hipDeviceAttributeClockRate,                        ///< Peak clock frequency in kilohertz.
+    hipDeviceAttributeComputeMode,                      ///< Compute mode that device is currently in.
+    hipDeviceAttributeComputePreemptionSupported,       ///< Cuda only. Device supports Compute Preemption.
+    hipDeviceAttributeConcurrentKernels,                ///< Device can possibly execute multiple kernels concurrently.
+    hipDeviceAttributeConcurrentManagedAccess,          ///< Device can coherently access managed memory concurrently with the CPU
+    hipDeviceAttributeCooperativeLaunch,                ///< Support cooperative launch
+    hipDeviceAttributeCooperativeMultiDeviceLaunch,     ///< Support cooperative launch on multiple devices
+    hipDeviceAttributeDeviceOverlap,                    ///< Cuda only. Device can concurrently copy memory and execute a kernel.
+                                                        ///< Deprecated. Use instead asyncEngineCount.
+    hipDeviceAttributeDirectManagedMemAccessFromHost,   ///< Host can directly access managed memory on
+                                                        ///< the device without migration
+    hipDeviceAttributeGlobalL1CacheSupported,           ///< Cuda only. Device supports caching globals in L1
+    hipDeviceAttributeHostNativeAtomicSupported,        ///< Cuda only. Link between the device and the host supports native atomic operations
+    hipDeviceAttributeIntegrated,                       ///< Device is integrated GPU
+    hipDeviceAttributeIsMultiGpuBoard,                  ///< Multiple GPU devices.
+    hipDeviceAttributeKernelExecTimeout,                ///< Run time limit for kernels executed on the device
+    hipDeviceAttributeL2CacheSize,                      ///< Size of L2 cache in bytes. 0 if the device doesn't have L2 cache.
+    hipDeviceAttributeLocalL1CacheSupported,            ///< caching locals in L1 is supported
+    hipDeviceAttributeLuid,                             ///< Cuda only. 8-byte locally unique identifier in 8 bytes. Undefined on TCC and non-Windows platforms
+    hipDeviceAttributeLuidDeviceNodeMask,               ///< Cuda only. Luid device node mask. Undefined on TCC and non-Windows platforms
+    hipDeviceAttributeComputeCapabilityMajor,           ///< Major compute capability version number.
+    hipDeviceAttributeManagedMemory,                    ///< Device supports allocating managed memory on this system
+    hipDeviceAttributeMaxBlocksPerMultiProcessor,       ///< Cuda only. Max block size per multiprocessor
+    hipDeviceAttributeMaxBlockDimX,                     ///< Max block size in width.
+    hipDeviceAttributeMaxBlockDimY,                     ///< Max block size in height.
+    hipDeviceAttributeMaxBlockDimZ,                     ///< Max block size in depth.
+    hipDeviceAttributeMaxGridDimX,                      ///< Max grid size  in width.
+    hipDeviceAttributeMaxGridDimY,                      ///< Max grid size  in height.
+    hipDeviceAttributeMaxGridDimZ,                      ///< Max grid size  in depth.
+    hipDeviceAttributeMaxSurface1D,                     ///< Maximum size of 1D surface.
+    hipDeviceAttributeMaxSurface1DLayered,              ///< Cuda only. Maximum dimensions of 1D layered surface.
+    hipDeviceAttributeMaxSurface2D,                     ///< Maximum dimension (width, height) of 2D surface.
+    hipDeviceAttributeMaxSurface2DLayered,              ///< Cuda only. Maximum dimensions of 2D layered surface.
+    hipDeviceAttributeMaxSurface3D,                     ///< Maximum dimension (width, height, depth) of 3D surface.
+    hipDeviceAttributeMaxSurfaceCubemap,                ///< Cuda only. Maximum dimensions of Cubemap surface.
+    hipDeviceAttributeMaxSurfaceCubemapLayered,         ///< Cuda only. Maximum dimension of Cubemap layered surface.
+    hipDeviceAttributeMaxTexture1DWidth,                ///< Maximum size of 1D texture.
+    hipDeviceAttributeMaxTexture1DLayered,              ///< Cuda only. Maximum dimensions of 1D layered texture.
+    hipDeviceAttributeMaxTexture1DLinear,               ///< Maximum number of elements allocatable in a 1D linear texture.
+                                                        ///< Use cudaDeviceGetTexture1DLinearMaxWidth() instead on Cuda.
+    hipDeviceAttributeMaxTexture1DMipmap,               ///< Cuda only. Maximum size of 1D mipmapped texture.
+    hipDeviceAttributeMaxTexture2DWidth,                ///< Maximum dimension width of 2D texture.
+    hipDeviceAttributeMaxTexture2DHeight,               ///< Maximum dimension hight of 2D texture.
+    hipDeviceAttributeMaxTexture2DGather,               ///< Cuda only. Maximum dimensions of 2D texture if gather operations  performed.
+    hipDeviceAttributeMaxTexture2DLayered,              ///< Cuda only. Maximum dimensions of 2D layered texture.
+    hipDeviceAttributeMaxTexture2DLinear,               ///< Cuda only. Maximum dimensions (width, height, pitch) of 2D textures bound to pitched memory.
+    hipDeviceAttributeMaxTexture2DMipmap,               ///< Cuda only. Maximum dimensions of 2D mipmapped texture.
+    hipDeviceAttributeMaxTexture3DWidth,                ///< Maximum dimension width of 3D texture.
+    hipDeviceAttributeMaxTexture3DHeight,               ///< Maximum dimension height of 3D texture.
+    hipDeviceAttributeMaxTexture3DDepth,                ///< Maximum dimension depth of 3D texture.
+    hipDeviceAttributeMaxTexture3DAlt,                  ///< Cuda only. Maximum dimensions of alternate 3D texture.
+    hipDeviceAttributeMaxTextureCubemap,                ///< Cuda only. Maximum dimensions of Cubemap texture
+    hipDeviceAttributeMaxTextureCubemapLayered,         ///< Cuda only. Maximum dimensions of Cubemap layered texture.
+    hipDeviceAttributeMaxThreadsDim,                    ///< Maximum dimension of a block
+    hipDeviceAttributeMaxThreadsPerBlock,               ///< Maximum number of threads per block.
+    hipDeviceAttributeMaxThreadsPerMultiProcessor,      ///< Maximum resident threads per multiprocessor.
+    hipDeviceAttributeMaxPitch,                         ///< Maximum pitch in bytes allowed by memory copies
+    hipDeviceAttributeMemoryBusWidth,                   ///< Global memory bus width in bits.
+    hipDeviceAttributeMemoryClockRate,                  ///< Peak memory clock frequency in kilohertz.
+    hipDeviceAttributeComputeCapabilityMinor,           ///< Minor compute capability version number.
+    hipDeviceAttributeMultiGpuBoardGroupID,             ///< Cuda only. Unique ID of device group on the same multi-GPU board
+    hipDeviceAttributeMultiprocessorCount,              ///< Number of multiprocessors on the device.
+    hipDeviceAttributeName,                             ///< Device name.
+    hipDeviceAttributePageableMemoryAccess,             ///< Device supports coherently accessing pageable memory
+                                                        ///< without calling hipHostRegister on it
+    hipDeviceAttributePageableMemoryAccessUsesHostPageTables, ///< Device accesses pageable memory via the host's page tables
+    hipDeviceAttributePciBusId,                         ///< PCI Bus ID.
+    hipDeviceAttributePciDeviceId,                      ///< PCI Device ID.
+    hipDeviceAttributePciDomainID,                      ///< PCI Domain ID.
+    hipDeviceAttributePersistingL2CacheMaxSize,         ///< Cuda11 only. Maximum l2 persisting lines capacity in bytes
+    hipDeviceAttributeMaxRegistersPerBlock,             ///< 32-bit registers available to a thread block. This number is shared
+                                                        ///< by all thread blocks simultaneously resident on a multiprocessor.
+    hipDeviceAttributeMaxRegistersPerMultiprocessor,    ///< 32-bit registers available per block.
+    hipDeviceAttributeReservedSharedMemPerBlock,        ///< Cuda11 only. Shared memory reserved by CUDA driver per block.
+    hipDeviceAttributeMaxSharedMemoryPerBlock,          ///< Maximum shared memory available per block in bytes.
+    hipDeviceAttributeSharedMemPerBlockOptin,           ///< Cuda only. Maximum shared memory per block usable by special opt in.
+    hipDeviceAttributeSharedMemPerMultiprocessor,       ///< Cuda only. Shared memory available per multiprocessor.
+    hipDeviceAttributeSingleToDoublePrecisionPerfRatio, ///< Cuda only. Performance ratio of single precision to double precision.
+    hipDeviceAttributeStreamPrioritiesSupported,        ///< Cuda only. Whether to support stream priorities.
+    hipDeviceAttributeSurfaceAlignment,                 ///< Cuda only. Alignment requirement for surfaces
+    hipDeviceAttributeTccDriver,                        ///< Cuda only. Whether device is a Tesla device using TCC driver
+    hipDeviceAttributeTextureAlignment,                 ///< Alignment requirement for textures
+    hipDeviceAttributeTexturePitchAlignment,            ///< Pitch alignment requirement for 2D texture references bound to pitched memory;
+    hipDeviceAttributeTotalConstantMemory,              ///< Constant memory size in bytes.
+    hipDeviceAttributeTotalGlobalMem,                   ///< Global memory available on devicice.
+    hipDeviceAttributeUnifiedAddressing,                ///< Cuda only. An unified address space shared with the host.
+    hipDeviceAttributeUuid,                             ///< Cuda only. Unique ID in 16 byte.
+    hipDeviceAttributeWarpSize,                         ///< Warp size in threads.

-    hipDeviceAttributeMaxPitch,             ///< Maximum pitch in bytes allowed by memory copies
-    hipDeviceAttributeTextureAlignment,     ///<Alignment requirement for textures
-    hipDeviceAttributeTexturePitchAlignment, ///<Pitch alignment requirement for 2D texture references bound to pitched memory;
-    hipDeviceAttributeKernelExecTimeout,    ///<Run time limit for kernels executed on the device
-    hipDeviceAttributeCanMapHostMemory,     ///<Device can map host memory into device address space
-    hipDeviceAttributeEccEnabled,           ///<Device has ECC support enabled
+    hipDeviceAttributeCudaCompatibleEnd = 9999,
+    hipDeviceAttributeAmdSpecificBegin = 10000,

-    hipDeviceAttributeCooperativeMultiDeviceUnmatchedFunc,        ///< Supports cooperative launch on multiple
-                                                                  ///devices with unmatched functions
-    hipDeviceAttributeCooperativeMultiDeviceUnmatchedGridDim,     ///< Supports cooperative launch on multiple
-                                                                  ///devices with unmatched grid dimensions
-    hipDeviceAttributeCooperativeMultiDeviceUnmatchedBlockDim,    ///< Supports cooperative launch on multiple
-                                                                  ///devices with unmatched block dimensions
-    hipDeviceAttributeCooperativeMultiDeviceUnmatchedSharedMem,   ///< Supports cooperative launch on multiple
-                                                                  ///devices with unmatched shared memories
-    hipDeviceAttributeAsicRevision,         ///< Revision of the GPU in this device
-    hipDeviceAttributeManagedMemory,        ///< Device supports allocating managed memory on this system
-    hipDeviceAttributeDirectManagedMemAccessFromHost, ///< Host can directly access managed memory on
-                                                      /// the device without migration
-    hipDeviceAttributeConcurrentManagedAccess,  ///< Device can coherently access managed memory
-                                                /// concurrently with the CPU
-    hipDeviceAttributePageableMemoryAccess,     ///< Device supports coherently accessing pageable memory
-                                                /// without calling hipHostRegister on it
-    hipDeviceAttributePageableMemoryAccessUsesHostPageTables, ///< Device accesses pageable memory via
-                                                              /// the host's page tables
-    hipDeviceAttributeCanUseStreamWaitValue ///< '1' if Device supports hipStreamWaitValue32() and
-                                            ///< hipStreamWaitValue64() , '0' otherwise.
+    hipDeviceAttributeClockInstructionRate = hipDeviceAttributeAmdSpecificBegin,  ///< Frequency in khz of the timer used by the device-side "clock*"
+    hipDeviceAttributeArch,                                     ///< Device architecture
+    hipDeviceAttributeMaxSharedMemoryPerMultiprocessor,         ///< Maximum Shared Memory PerMultiprocessor.
+    hipDeviceAttributeGcnArch,                                  ///< Device gcn architecture
+    hipDeviceAttributeGcnArchName,                              ///< Device gcnArch name in 256 bytes
+    hipDeviceAttributeHdpMemFlushCntl,                          ///< Address of the HDP_MEM_COHERENCY_FLUSH_CNTL register
+    hipDeviceAttributeHdpRegFlushCntl,                          ///< Address of the HDP_REG_COHERENCY_FLUSH_CNTL register
+    hipDeviceAttributeCooperativeMultiDeviceUnmatchedFunc,      ///< Supports cooperative launch on multiple
+                                                                ///< devices with unmatched functions
+    hipDeviceAttributeCooperativeMultiDeviceUnmatchedGridDim,   ///< Supports cooperative launch on multiple
+                                                                ///< devices with unmatched grid dimensions
+    hipDeviceAttributeCooperativeMultiDeviceUnmatchedBlockDim,  ///< Supports cooperative launch on multiple
+                                                                ///< devices with unmatched block dimensions
+    hipDeviceAttributeCooperativeMultiDeviceUnmatchedSharedMem, ///< Supports cooperative launch on multiple
+                                                                ///< devices with unmatched shared memories
+    hipDeviceAttributeIsLargeBar,                               ///< Whether it is LargeBar
+    hipDeviceAttributeAsicRevision,                             ///< Revision of the GPU in this device
+    hipDeviceAttributeCanUseStreamWaitValue,                    ///< '1' if Device supports hipStreamWaitValue32() and
+                                                                ///< hipStreamWaitValue64() , '0' otherwise.

+    hipDeviceAttributeAmdSpecificEnd = 19999,
+    hipDeviceAttributeVendorSpecificBegin = 20000,
+    // Extended attributes for vendors
 } hipDeviceAttribute_t;

 enum hipComputeMode {
```

### Known issues

#### Incorrect dGPU behavior when using AMDVBFlash tool

The AMDVBFlash tool, used for flashing the VBIOS image to dGPU, does not communicate with the
ROM Controller specifically when the driver is present. This is because the driver, as part of its runtime
power management feature, puts the dGPU to a sleep state.

As a workaround, users can run amdgpu.runpm=0, which temporarily disables the runtime power
management feature from the driver and dynamically changes some power control-related sysfs files.

#### Issue with START timestamp in ROCProfiler

Users may encounter an issue with the enabled timestamp functionality for monitoring one or multiple
counters. ROCProfiler outputs the following four timestamps for each kernel:

* Dispatch
* Start
* End
* Complete

##### Issue

This defect is related to the Start timestamp functionality, which incorrectly shows an earlier time than
the Dispatch timestamp.

To reproduce the issue,

1. Enable timing using the --timestamp on flag.

2. Use the -i option with the input filename that contains the name of the counter(s) to monitor.

3. Run the program.

4. Check the output result file.

##### Current behavior

BeginNS is lower than DispatchNS, which is incorrect.

##### Expected behavior

The correct order is:

Dispatch < Start < End < Complete

Users cannot use ROCProfiler to measure the time spent on each kernel because of the incorrect
timestamp with counter collection enabled.

##### Recommended workaround

Users are recommended to collect kernel execution timestamps without monitoring counters, as
follows:

1. ​Enable timing using the --timestamp on flag, and run the application.

2. Rerun the application using the -i option with the input filename that contains the name of the
  counter(s) to monitor, and save this to a different output file using the -o flag.

3. Check the output result file from step 1.

4. The order of timestamps correctly displays as: DispatchNS < BeginNS < EndNS < CompleteNS

5. Users can find the values of the collected counters in the output file generated in step 2.

#### Radeon Pro V620 and W6800 workstation GPUs

##### No support for SMI and ROCDebugger on SRIOV

System Management Interface (SMI) and ROCDebugger are not supported in the SRIOV environment
on any GPU. For more information, refer to the Systems Management Interface documentation.

### Deprecations and warnings

#### ROCm libraries changes – deprecations and deprecation removal

* The `hipFFT.h` header is now provided only by the hipFFT package. Up to ROCm 5.0, users would get
  `hipFFT.h` in the rocFFT package too.

* The GlobalPairwiseAMG class is now entirely removed, users should use the PairwiseAMG class
  instead.

* The rocsparse_spmm signature in 5.0 was changed to match that of rocsparse_spmm_ex.  In 5.0,
  rocsparse_spmm_ex is still present, but deprecated. Signature diff for rocsparse_spmm
  rocsparse_spmm in 5.0

  ```cpp
  rocsparse_status rocsparse_spmm(rocsparse_handle            handle,
                                  rocsparse_operation         trans_A,
                                  rocsparse_operation         trans_B,
                                  const void*                 alpha,
                                  const rocsparse_spmat_descr mat_A,
                                  const rocsparse_dnmat_descr mat_B,
                                  const void*                 beta,
                                  const rocsparse_dnmat_descr mat_C,
                                  rocsparse_datatype          compute_type,
                                  rocsparse_spmm_alg          alg,
                                  rocsparse_spmm_stage        stage,
                                  size_t*                     buffer_size,
                                  void*                       temp_buffer);
  ```

  rocSPARSE_spmm in 4.0

  ```cpp
  rocsparse_status rocsparse_spmm(rocsparse_handle            handle,
                                  rocsparse_operation         trans_A,
                                  rocsparse_operation         trans_B,
                                  const void*                 alpha,
                                  const rocsparse_spmat_descr mat_A,
                                  const rocsparse_dnmat_descr mat_B,
                                  const void*                 beta,
                                  const rocsparse_dnmat_descr mat_C,
                                  rocsparse_datatype          compute_type,
                                  rocsparse_spmm_alg          alg,
                                  size_t*                     buffer_size,
                                  void*                       temp_buffer);
  ```

#### HIP API deprecations and warnings

##### Warning - arithmetic operators of HIP complex and vector types

In this release, arithmetic operators of HIP complex and vector types are deprecated.

* As alternatives to arithmetic operators of HIP complex types, users can use arithmetic operators of
  `std::complex` types.

* As alternatives to arithmetic operators of HIP vector types, users can use the operators of the native
  clang vector type associated with the data member of HIP vector types.

During the deprecation, two macros `_HIP_ENABLE_COMPLEX_OPERATORS` and
`_HIP_ENABLE_VECTOR_OPERATORS` are provided to allow users to conditionally enable arithmetic
operators of HIP complex or vector types.

Note, the two macros are mutually exclusive and, by default, set to Off.

The arithmetic operators of HIP complex and vector types will be removed in a future release.

Refer to the HIP API Guide for more information.

#### Warning - compiler-generated code object version 4 deprecation

Support for loading compiler-generated code object version 4 will be deprecated in a future release
with no release announcement and replaced with code object 5 as the default version.

The current default is code object version 4.

#### Warning - MIOpenTensile deprecation

MIOpenTensile will be deprecated in a future release.

### Library changes in ROCm 5.0.0

| Library | Version |
|---------|---------|
| hipBLAS | [0.49.0](https://github.com/ROCm/hipBLAS/releases/tag/rocm-5.0.0) |
| hipCUB | [2.10.13](https://github.com/ROCm/hipCUB/releases/tag/rocm-5.0.0) |
| hipFFT | [1.0.4](https://github.com/ROCm/hipFFT/releases/tag/rocm-5.0.0) |
| hipSOLVER | [1.2.0](https://github.com/ROCm/hipSOLVER/releases/tag/rocm-5.0.0) |
| hipSPARSE | [2.0.0](https://github.com/ROCm/hipSPARSE/releases/tag/rocm-5.0.0) |
| MIVisionX | [2.0.1](https://github.com/ROCm/MIVisionX/releases/tag/rocm-5.0.0) |
| rccl | [2.10.3](https://github.com/ROCm/rccl/releases/tag/rocm-5.0.0) |
| rocALUTION | [2.0.1](https://github.com/ROCm/rocALUTION/releases/tag/rocm-5.0.0) |
| rocBLAS | [2.42.0](https://github.com/ROCm/rocBLAS/releases/tag/rocm-5.0.0) |
| rocFFT | [1.0.13](https://github.com/ROCm/rocFFT/releases/tag/rocm-5.0.0) |
| rocPRIM | [2.10.12](https://github.com/ROCm/rocPRIM/releases/tag/rocm-5.0.0) |
| rocRAND | [2.10.12](https://github.com/ROCm/rocRAND/releases/tag/rocm-5.0.0) |
| rocSOLVER | [3.16.0](https://github.com/ROCm/rocSOLVER/releases/tag/rocm-5.0.0) |
| rocSPARSE | [2.0.0](https://github.com/ROCm/rocSPARSE/releases/tag/rocm-5.0.0) |
| rocThrust | [2.13.0](https://github.com/ROCm/rocThrust/releases/tag/rocm-5.0.0) |
| Tensile | [4.31.0](https://github.com/ROCm/Tensile/releases/tag/rocm-5.0.0) |

#### hipBLAS 0.49.0

hipBLAS 0.49.0 for ROCm 5.0.0

##### Added

- Added rocSOLVER functions to hipblas-bench
- Added option ROCM_MATHLIBS_API_USE_HIP_COMPLEX to opt-in to use hipFloatComplex and hipDoubleComplex
- Added compilation warning for future trmm changes
- Added documentation to hipblas.h
- Added option to forgo pivoting for getrf and getri when ipiv is nullptr
- Added code coverage option

##### Fixed

- Fixed use of incorrect &#39;HIP_PATH&#39; when building from source.
- Fixed windows packaging
- Allowing negative increments in hipblas-bench
- Removed boost dependency

#### hipCUB 2.10.13

hipCUB 2.10.13 for ROCm 5.0.0

##### Fixed

- Added missing includes to hipcub.hpp

##### Added

- Bfloat16 support to test cases (device_reduce &amp; device_radix_sort)
- Device merge sort
- Block merge sort
- API update to CUB 1.14.0

##### Changed

- The SetupNVCC.cmake automatic target selector select all of the capabalities of all available card for NVIDIA backend.

#### hipFFT 1.0.4

hipFFT 1.0.4 for ROCm 5.0.0

##### Fixed

- Add calls to rocFFT setup/cleanup.
- Cmake fixes for clients and backend support.

##### Added

- Added support for Windows 10 as a build target.

#### hipSOLVER 1.2.0

hipSOLVER 1.2.0 for ROCm 5.0.0

##### Added

- Added functions
  - sytrf
    - hipsolverSsytrf_bufferSize, hipsolverDsytrf_bufferSize, hipsolverCsytrf_bufferSize, hipsolverZsytrf_bufferSize
    - hipsolverSsytrf, hipsolverDsytrf, hipsolverCsytrf, hipsolverZsytrf

##### Fixed

- Fixed use of incorrect `HIP_PATH` when building from source (#40).
  Thanks [@jakub329homola](https://github.com/jakub329homola)!

#### hipSPARSE 2.0.0

hipSPARSE 2.0.0 for ROCm 5.0.0

##### Added

- Added (conjugate) transpose support for csrmv, hybmv and spmv routines

#### MIVisionX 2.0.1

MIVisionX for ROCm 5.0.0

##### Added

* Support for cmake 3.22.X
* Support for OpenCV 4.X.X
* Support for mv_compile with the HIP GPU backend
* Support for tensor_compare node (less/greater/less_than/greater_than/equal onnx operators)

##### Optimizations

* Code Cleanup
* Readme Updates

##### Changed

* License Updates

##### Fixed

* Minor bugs and warnings
* Inference server application - OpenCL Backend
* vxCreateThreshold Fix - Apps &amp; Sample

##### Tested Configurations

* Windows 10
* Linux distribution
  + Ubuntu - `18.04` / `20.04`
  + CentOS - `7` / `8`
  + SLES - `15-SP2`
* ROCm: rocm-dev - `4.5.2.40502-164`
* rocm-cmake - [rocm-4.2.0](https://github.com/RadeonOpenCompute/rocm-cmake/releases/tag/rocm-4.2.0)
* MIOpenGEMM - [1.1.5](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/releases/tag/1.1.5)
* MIOpen - [2.14.0](https://github.com/ROCmSoftwarePlatform/MIOpen/releases/tag/2.14.0)
* Protobuf - [V3.12.0](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.0)
* OpenCV - [3.4.0](https://github.com/opencv/opencv/releases/tag/3.4.0)
* RPP - [0.92](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases/tag/0.92)
* FFMPEG - [n4.0.4](https://github.com/FFmpeg/FFmpeg/releases/tag/n4.0.4)
* Dependencies for all the above packages
* MIVisionX Setup Script - `V2.0.0`

##### Known Issues

* Package install requires **OpenCV** `v3.4.X` to execute `AMD OpenCV extensions`

##### Mivisionx Dependency Map

**Docker Image:** `docker pull kiritigowda/ubuntu-18.04:{TAGNAME}`

- ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `new component added to the level`
- ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `existing component from the previous level`

| Build Level | MIVisionX Dependencies                             | Modules                                                                  | Libraries and Executables                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Docker Tag                                                                                                                                                                                                     |
|-------------|----------------------------------------------------|--------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `Level_1`   | cmake &lt;br&gt; gcc &lt;br&gt; g++                            | amd_openvx  &lt;br&gt; utilities                                                              | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so` - OpenVX&amp;trade; Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - CPU with Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-1?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_2`   | ROCm OpenCL &lt;br&gt; +Level 1                          | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                     | ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib - CPU/GPU &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display OFF                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-2?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_3`   | OpenCV &lt;br&gt; FFMPEG &lt;br&gt; +Level 2                   | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; utilities                     | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-3?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_4`   | MIOpenGEMM &lt;br&gt; MIOpen &lt;br&gt; ProtoBuf &lt;br&gt; +Level 3 | amd_openvx &lt;br&gt;  amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; utilities          | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `inference_server_app` - Cloud Inference App                                                                                                                                                                                                                                                                                                                                       | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-4?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |
| `Level_5`   | AMD_RPP &lt;br&gt; rocAL deps &lt;br&gt; +Level 4               | amd_openvx &lt;br&gt; amd_openvx_extensions &lt;br&gt; apps &lt;br&gt; rocAL &lt;br&gt; utilities | ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libopenvx.so`  - OpenVX&amp;trade; Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvxu.so` - OpenVX&amp;trade; immediate node Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_loomsl.so` - Loom 360 Stitch Lib &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `loom_shell` - 360 Stitch App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_amd_media.so` - OpenVX&amp;trade; Media Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_opencv.so` - OpenVX&amp;trade; OpenCV InterOp Extension &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `mv_compile` - Neural Net Model Compile &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runcl` - OpenCL&amp;trade; program debug App &lt;br&gt; ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `runvx` - OpenVX&amp;trade; Graph Executor - Display ON &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `libvx_nn.so` - OpenVX&amp;trade; Neural Net Extension &lt;br&gt;  ![#1589F0](https://via.placeholder.com/15/1589F0/000000?text=+) `inference_server_app` - Cloud Inference App &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `libvx_rpp.so` - OpenVX&amp;trade; RPP Extension &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `librali.so` - Radeon Augmentation Library &lt;br&gt; ![#c5f015](https://via.placeholder.com/15/c5f015/000000?text=+) `rali_pybind.so` - rocAL Pybind Lib | [![Docker Image Version (tag latest semver)](https://img.shields.io/docker/v/kiritigowda/ubuntu-18.04/mivisionx-level-5?style=flat-square)](https://hub.docker.com/repository/docker/kiritigowda/ubuntu-18.04) |

#### rccl 2.10.3

RCCL 2.10.3 for ROCm 5.0.0

##### Added

- Compatibility with NCCL 2.10.3

##### Known Issues

- Managed memory is not currently supported for clique-based kernels

#### rocALUTION 2.0.1

rocALUTION 2.0.1 for ROCm 5.0.0

##### Changed

- Removed deprecated GlobalPairwiseAMG class, please use PairwiseAMG instead.
- Changed to C++ 14 Standard

##### Improved

- Added sanitizer option
- Improved documentation

#### rocBLAS 2.42.0

rocBLAS 2.42.0 for ROCm 5.0.0

##### Added

- Added rocblas_get_version_string_size convenience function
- Added rocblas_xtrmm_outofplace, an out-of-place version of rocblas_xtrmm
- Added hpl and trig initialization for gemm_ex to rocblas-bench
- Added source code gemm. It can be used as an alternative to Tensile for debugging and development
- Added option ROCM_MATHLIBS_API_USE_HIP_COMPLEX to opt-in to use hipFloatComplex and hipDoubleComplex

##### Optimizations

- Improved performance of non-batched and batched single-precision GER for size m &gt; 1024. Performance enhanced by 5-10% measured on a MI100 (gfx908) GPU.
- Improved performance of non-batched and batched HER for all sizes and data types. Performance enhanced by 2-17% measured on a MI100 (gfx908) GPU.

##### Changed

- Instantiate templated rocBLAS functions to reduce size of librocblas.so
- Removed static library dependency on msgpack
- Removed boost dependencies for clients

##### Fixed

- Option to install script to build only rocBLAS clients with a pre-built rocBLAS library
- Correctly set output of nrm2_batched_ex and nrm2_strided_batched_ex when given bad input
- Fix for dgmm with side == rocblas_side_left and a negative incx
- Fixed out-of-bounds read for small trsm
- Fixed numerical checking for tbmv_strided_batched

#### rocFFT 1.0.13

rocFFT 1.0.13 for ROCm 5.0.0

##### Optimizations

- Improved many plans by removing unnecessary transpose steps.
- Optimized scheme selection for 3D problems.
  - Imposed less restrictions on 3D_BLOCK_RC selection. More problems can use 3D_BLOCK_RC and
    have some performance gain.
  - Enabled 3D_RC. Some 3D problems with SBCC-supported z-dim can use less kernels and get benefit.
  - Force --length 336 336 56 (dp) use faster 3D_RC to avoid it from being skipped by conservative
    threshold test.
- Optimized some even-length R2C/C2R cases by doing more operations
  in-place and combining pre/post processing into Stockham kernels.
- Added radix-17.

##### Added

- Added new kernel generator for select fused-2D transforms.

##### Fixed

- Improved large 1D transform decompositions.

#### rocPRIM 2.10.12

rocPRIM 2.10.12 for ROCm 5.0.0

##### Fixed

- Enable bfloat16 tests and reduce threshold for bfloat16
- Fix device scan limit_size feature
- Non-optimized builds no longer trigger local memory limit errors

##### Added

- Added scan size limit feature
- Added reduce size limit feature
- Added transform size limit feature
- Add block_load_striped and block_store_striped
- Add gather_to_blocked to gather values from other threads into a blocked arrangement
- The block sizes for device merge sorts initial block sort and its merge steps are now separate in its kernel config
    - the block sort step supports multiple items per thread

##### Changed

- size_limit for scan, reduce and transform can now be set in the config struct instead of a parameter
- Device_scan and device_segmented_scan: `inclusive_scan` now uses the input-type as accumulator-type, `exclusive_scan` uses initial-value-type.
  - This particularly changes behaviour of small-size input types with large-size output types (e.g. `short` input, `int` output).
  - And low-res input with high-res output (e.g. `float` input, `double` output)
- Revert old Fiji workaround, because they solved the issue at compiler side
- Update README cmake minimum version number
- Block sort support multiple items per thread
    - currently only powers of two block sizes, and items per threads are supported and only for full blocks
- Bumped the minimum required version of CMake to 3.16

##### Known Issues

- Unit tests may soft hang on MI200 when running in hipMallocManaged mode.
- device_segmented_radix_sort, device_scan unit tests failing for HIP on Windows
- ReduceEmptyInput cause random faulire with bfloat16

#### rocRAND 2.10.12

rocRAND 2.10.12 for ROCm 5.0.0

##### Changed

- No updates or changes for ROCm 5.0.0.

#### rocSOLVER 3.16.0

rocSOLVER 3.16.0 for ROCm 5.0.0

##### Added

- Symmetric matrix factorizations:
    - LASYF
    - SYTF2, SYTRF (with batched and strided\_batched versions)
- Added `rocsolver_get_version_string_size` to help with version string queries
- Added `rocblas_layer_mode_ex` and the ability to print kernel calls in the trace and profile logs
- Expanded batched and strided\_batched sample programs.

##### Optimized

- Improved general performance of LU factorization
- Increased parallelism of specialized kernels when compiling from source, reducing build times on multi-core systems.

##### Changed

- The rocsolver-test client now prints the rocSOLVER version used to run the tests,
  rather than the version used to build them
- The rocsolver-bench client now prints the rocSOLVER version used in the benchmark

##### Fixed

- Added missing stdint.h include to rocsolver.h

#### rocSPARSE 2.0.0

rocSPARSE 2.0.0 for ROCm 5.0.0

##### Added

- csrmv, coomv, ellmv, hybmv for (conjugate) transposed matrices
- csrmv for symmetric matrices

##### Changed

- spmm\_ex is now deprecated and will be removed in the next major release

##### Improved

- Optimization for gtsv

#### rocThrust 2.13.0

rocThrust 2.13.0 for ROCm 5.0.0

##### Added

- Updated to match upstream Thrust 1.13.0
- Updated to match upstream Thrust 1.14.0
- Added async scan

##### Changed

- Scan algorithms: `inclusive_scan` now uses the input-type as accumulator-type, `exclusive_scan` uses initial-value-type.
    - This particularly changes behaviour of small-size input types with large-size output types (e.g. `short` input, `int` output).
    - And low-res input with high-res output (e.g. `float` input, `double` output)

#### Tensile 4.31.0

Tensile 4.31.0 for ROCm 5.0.0

##### Added

- DirectToLds support (x2/x4)
- DirectToVgpr support for DGEMM
- Parameter to control number of files kernels are merged into to better parallelize kernel compilation
- FP16 alternate implementation for HPA HGEMM on aldebaran

##### Optimized

- Add DGEMM NN custom kernel for HPL on aldebaran

##### Changed

- Update tensile_client executable to std=c++14

##### Removed

- Remove unused old Tensile client code

##### Fixed

- Fix hipErrorInvalidHandle during benchmarks
- Fix addrVgpr for atomic GSU
- Fix for Python 3.8: add case for Constant nodeType
- Fix architecture mapping for gfx1011 and gfx1012
- Fix PrintSolutionRejectionReason verbiage in KernelWriter.py
- Fix vgpr alignment problem when enabling flat buffer load