From 8deb48191fa995aa7426ae26a86b0b3a7c4497d8 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Sat, 24 Dec 2022 20:09:36 +0000 Subject: [PATCH] Bump pytorch-lightning from 1.8.5.post0 to 1.8.6 Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 1.8.5.post0 to 1.8.6. - [Release notes](https://github.com/Lightning-AI/lightning/releases) - [Commits](https://github.com/Lightning-AI/lightning/compare/1.8.5.post0...1.8.6) --- updated-dependencies: - dependency-name: pytorch-lightning dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] --- poetry.lock | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1cbdefc..738f147 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1431,7 +1431,7 @@ python-versions = ">=3.5" [[package]] name = "pytorch-lightning" -version = "1.8.5.post0" +version = "1.8.6" description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate." category = "main" optional = false @@ -1450,8 +1450,7 @@ tqdm = ">=4.57.0" typing-extensions = ">=4.0.0" [package.extras] -all = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "colossalai (>=0.1.10)", "coverage (==6.5.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "torchvision (>=0.10.0)", "uvicorn"] -colossalai = ["colossalai (>=0.1.10)"] +all = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "torchvision (>=0.10.0)", "uvicorn"] deepspeed = ["deepspeed (>=0.6.0)"] dev = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "fastapi", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.15.2)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"] examples = ["gym[classic-control] (>=0.17.0)", "ipython[all]", "torchvision (>=0.10.0)"] @@ -1459,7 +1458,7 @@ extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.15.2)", "matplot fairscale = ["fairscale (>=0.4.5)"] hivemind = ["hivemind (==1.1.2)"] horovod = ["horovod (>=0.21.2,!=0.24.0)"] -strategies = ["colossalai (>=0.1.10)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)"] +strategies = ["deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (==1.1.2)", "horovod (>=0.21.2,!=0.24.0)"] test = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "fastapi", "onnxruntime", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.2)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"] [[package]] @@ -3088,8 +3087,8 @@ python-json-logger = [ {file = "python_json_logger-2.0.4-py3-none-any.whl", hash = "sha256:3b03487b14eb9e4f77e4fc2a023358b5394b82fd89cecf5586259baed57d8c6f"}, ] pytorch-lightning = [ - {file = "pytorch-lightning-1.8.5.post0.tar.gz", hash = "sha256:af5ea24ccdecaba1dababdabb3c6ad2533e1f19ff9344618b873961ce8ffeafc"}, - {file = "pytorch_lightning-1.8.5.post0-py3-none-any.whl", hash = "sha256:062e05e67bad353fce411fd92dc628e21f58a605747b7c811c9e7c689de9b82c"}, + {file = "pytorch-lightning-1.8.6.tar.gz", hash = "sha256:c4af783579a1528e07f40dd9bd0128c162bbbcf74fe1ce4292fec63fa7e76ada"}, + {file = "pytorch_lightning-1.8.6-py3-none-any.whl", hash = "sha256:8b6b4126b85c56a9dd08a03f7096ce749bcb452a9a50f6201a7165dbd92d866d"}, ] pytz = [ {file = "pytz-2022.6-py2.py3-none-any.whl", hash = "sha256:222439474e9c98fced559f1709d89e6c9cbf8d79c794ff3eb9f8800064291427"},