deepxIR:ir列表

Author: miaobyte

doc/deepxIR/ir.md

@@ -0,0 +1,36 @@
+#IR设计说明
+
+1.除了newtensor以外，其他IR均不创建新的张量，而是引用已有的张量
+2.IR的输入输出均使用张量名，而不是张量指针（后期IR可能支持直接用值）
+3.命名，t开头为张量名，a开头为参数名，v开头为vector名
+##IR列表
+
+| IR | 说明 | 例子 |例子作用|
+| --- | --- | --- | --- |
+| argset | 设置参数 | argset@int32 1->a1 |设置a1为int32类型，值为1|
+| argset | 设置参数 | argset@int32 1->a1 |设置a2为int32类型，值为2|
+| argset | 设置vector参数 | argset@int32 1 2 3->vec1 |设置vec1为int32类型，值为1 2 3|
+| argset | 设置vector参数 | argset@int32 0 1 2->vec2 |设置vec2为int32类型，值为0 1 2|
+| argdel | 删除参数 | argdel a |删除a参数|
+| newtensor | 创建张量 | newtensor@int32 vec1->t1 |创建一个int32类型的张量t1，并从vec1中复制数据|
+| constant | tensor初始化-填充固定值 | constant@int32 a1->t1 |给t1填充固定值，值引用a1|
+| arange | tensor初始化-生成序列 | arange@int32 a1 a2>t1 |给t1生成序列，从a1开始，步长为a2|
+| uniform | tensor初始化-均匀分布 | uniform@int32 a1 a2>t1 |给t1生成均匀分布，low为a1，high为a2|
+| add | 矩阵加法 | add@float32 t1 t2->t3 |t3=t1+t2|
+| add_scalar | 矩阵加法 | add_scalar@float32 t1 a1->t3 |t3=t1+a1,a1为常数|
+| sub | 矩阵减法 | sub@float32 t1 t2->t3 |t3=t1-t2|
+| mul | 矩阵乘法 | mul@float32 t1 t2->t3 |t3=t1*t2|
+| mul_scalar | 矩阵乘法 | mul_scalar@float32 t1 a1->t3 |t3=t1*a1,a1为常数|
+| div | 除法 | div@float32 t1 t2->t3 |t3=t1/t2|
+| div_scalar | 除法 | div_scalar@float32 t1 a1->t3 |t3=t1/a1,a1为常数|
+| mod (还没实现)| 取模 | mod@float32 t1 t2->t3 |t3=t1%t2|
+| mod_scalar (还没实现) | 取模 | mod_scalar@float32 t1 a1->t3 |t3=t1%a1,a1为常数|
+| exp | 指数 | exp@float32 t1->t3 |t3=exp(t1)|
+| sqrt | 平方根 | sqrt@float32 t1->t3 |t3=sqrt(t1)|
+| log | 对数 | log@float32 t1->t3 |t3=log(t1)|
+| sum | 规约计算-按dims求和 | sum@float32 t1 vec2->t3 |t3=sum(t1,dims=vec2),按vec2的维度求和|
+| max | 规约计算-按dims求最大值 | max@float32 t1 t2->t3 |t3=max(t1,t2) |
+| max_scalar | 规约计算-按dims求最大值 | max_scalar@float32 t1 a1->t3 |t3=max(t1,a1),a1为常数|
+| min | 规约计算-按dims求最小值 | min@float32 t1 t2->t3 |t3=min(t1,t2) |
+| min_scalar | 规约计算-按dims求最小值 | min_scalar@float32 t1 a1->t3 |t3=min(t1,a1),a1为常数|
+

…ter/op-mem-ompsimd/src/deepx/mem/mem.hpp excuter/common/src/deepx/mem/mem.hppexcuter/op-mem-ompsimd/src/deepx/mem/mem.hpp renamed to excuter/common/src/deepx/mem/mem.hpp excuter/op-mem-ompsimd/src/deepx/mem/mem.hpp renamed to excuter/common/src/deepx/mem/mem.hpp

@@ -19,19 +19,6 @@ namespace deepx::mem
 
         std::unordered_map<std::string, std::shared_ptr<TensorBase>> mem;
         int tempidx = 0;
-
-        // template <typename T>
-        // static std::shared_ptr<void> type_erase(const std::shared_ptr<Tensor<T>> &ptr)
-        // {
-        //     return std::static_pointer_cast<void>(ptr);
-        // }
-
-        // template <typename T>
-        // static std::shared_ptr<Tensor<T>> type_restore(const std::shared_ptr<void> &ptr)
-        // {
-        //     return std::static_pointer_cast<Tensor<T>>(ptr);
-        // }
-
     public:
         Mem() = default;
         ~Mem() = default;
@@ -62,7 +49,7 @@ namespace deepx::mem
         {
             if (args.find(name) != args.end())
             {
-                cerr << "Argument already exists: " << name << endl;
+                cerr << "arg already exists: " << name << endl;
             }
             args[name] = value;
         }
@@ -72,7 +59,7 @@ namespace deepx::mem
         {
             if (args.find(name) == args.end())
             {
-                cerr << "Argument not found: " << name << endl;
+                cerr << "arg not found: " << name << endl;
                 return T();
             }
             return any_cast<T>(args.at(name));
@@ -83,7 +70,7 @@ namespace deepx::mem
         {
             if (args.find(name) != args.end())
             {
-                cerr << "Vector already exists: " << name << endl;
+                cerr << "vector already exists: " << name << endl;
                 return;
             }
             args[name] = value;
@@ -94,7 +81,7 @@ namespace deepx::mem
         {
             if (args.find(name) == args.end())
             {
-                cerr << "Vector not found: " << name << endl;
+                cerr << "vector not found: " << name << endl;
                 return vector<T>();
             }
             auto v = any_cast<vector<T>>(args.at(name));
@@ -108,7 +95,7 @@ namespace deepx::mem
         {
             if (mem.find(name) != mem.end())
             {
-                cerr << "Tensor already exists: " << name << endl;
+                cerr << "tensor already exists: " << name << endl;
                 return;
             }
             auto ptr = std::make_shared<Tensor<T>>(std::move(tensor));
@@ -120,7 +107,7 @@ namespace deepx::mem
         {
             if (mem.find(name) != mem.end())
             {
-                cerr << "Tensor already exists: " << name << endl;
+                cerr << "tensor already exists: " << name << endl;
                 return;
             }
             auto ptr = std::make_shared<Tensor<T>>(tensor);
@@ -160,7 +147,7 @@ namespace deepx::mem
             {
                 if (mem.find(name) == mem.end())
                 {
-                    cerr << "Tensor not found: " << name << endl;
+                    cerr << "tensor not found: " << name << endl;
                     continue;
                 }
                 auto ptr = mem.at(name);