!3429 Optimize the time of producting cacha key in pynative

Merge pull request !3429 from JoyLvliang/optimize-the-time-of-producting-cacha-key-in-pynative

mindspore/ccsrc/pipeline/pynative/base.h

@@ -49,8 +49,9 @@ enum PynativeStatusCode {
 enum RunOpArgsEnum { PY_PRIM = 0, PY_NAME, PY_INPUTS, PY_ARGS_NUM };
 
 struct OpExecInfo {
-  PrimitivePyPtr py_primitive;
   std::string op_name;
+  std::string prim_id;
+  PrimitivePyPtr py_primitive;
   AbstractBasePtr abstract;
   ValuePtr value = nullptr;
 

mindspore/ccsrc/pipeline/pynative/pynative_execute.cc

@@ -144,6 +144,7 @@ static std::string GetId(const py::object &obj) {
 
 static std::string GetOpId(const OpExecInfoPtr &op_exec_info) {
   auto id = GetId(op_exec_info->py_primitive->GetPyObj());
+  op_exec_info->prim_id = id;
   return id;
 }
 
@@ -306,6 +307,8 @@ OpExecInfoPtr GenerateOpExecInfo(const py::args &args) {
   auto inst = PynativeExecutor::GetInstance();
   if (inst->grad_flag()) {
     op_exec_info->value = inst->GetForwardValue(op_exec_info);
+  } else {
+    (void)GetOpId(op_exec_info);
   }
   op_exec_info->op_inputs = args[PY_INPUTS];
   ConvertInputs(prim, args[PY_INPUTS], op_exec_info);
@@ -317,23 +320,21 @@ std::string GetSingleOpGraphInfo(const OpExecInfoPtr &op_exec_info,
   MS_EXCEPTION_IF_NULL(op_exec_info);
   std::string graph_info;
   // get input tensor info
-  size_t input_num = op_exec_info->op_inputs.size();
-  for (size_t index = 0; index < input_num; ++index) {
-    auto input = op_exec_info->op_inputs[index];
-    if (py::isinstance<tensor::Tensor>(input)) {
-      auto tensor_ptr = py::cast<tensor::TensorPtr>(input);
-      (void)graph_info.append(tensor_ptr->GetShapeAndDataTypeInfo() + "_");
-    }
+  for (const auto &tensor : input_tensors) {
+    MS_EXCEPTION_IF_NULL(tensor);
+    auto tensor_shape = tensor->shape();
+    (void)std::for_each(tensor_shape.begin(), tensor_shape.end(),
+                        [&](const auto &dim) { (void)graph_info.append(std::to_string(dim) + "_"); });
+    (void)graph_info.append(std::to_string(tensor->data_type()) + "_");
   }
   // get prim and abstract info
-  MS_EXCEPTION_IF_NULL(op_exec_info->abstract);
-  (void)graph_info.append(std::to_string((uintptr_t)(op_exec_info->py_primitive.get())) + "_" +
-                          op_exec_info->abstract->ToString());
+  (void)graph_info.append(op_exec_info->prim_id + "_");
   // get attr info
-  auto attr_map = op_exec_info->py_primitive->evaluate_added_attrs();
-  for (const auto &element : attr_map) {
-    (void)graph_info.append(element.second->ToString() + " ");
-  }
+  const auto &op_prim = op_exec_info->py_primitive;
+  MS_EXCEPTION_IF_NULL(op_prim);
+  const auto &attr_map = op_prim->evaluate_added_attrs();
+  (void)std::for_each(attr_map.begin(), attr_map.end(),
+                      [&](const auto &element) { (void)graph_info.append(element.second->ToString() + "_"); });
   return graph_info;
 }
 

tests/st/pynative/test_pynative_resnet50.py

@@ -428,7 +428,7 @@ def test_pynative_resnet50():
         end_time = time.time()
         cost_time = end_time - start_time
         print("======step: ", step, " loss: ", loss_output.asnumpy(), " cost time: ", cost_time)
-        if step > 1 and cost_time > 0.32:
+        if step > 1 and cost_time > 0.21:
             exceed_num = exceed_num + 1
     assert exceed_num < 10
     
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