!7343 checkout the consistency of grad out in pynative cell hook

Merge pull request !7343 from JoyLvliang/checkout-the-consistency-of-grad-out-in-pynative-cell-hook

mindspore/ccsrc/pybind_api/ir/primitive_py.cc

@@ -15,18 +15,19 @@
  */
 
 #include "pybind_api/ir/primitive_py.h"
+
 #include <mutex>
 #include "ir/signature.h"
-#include "pipeline/jit/parse/python_adapter.h"
 #include "pipeline/jit/parse/data_converter.h"
+#include "pipeline/jit/parse/python_adapter.h"
 #include "pybind11/pytypes.h"
-#include "utils/convert_utils_base.h"
-#include "utils/convert_utils_py.h"
-#include "utils/primitive_utils.h"
-#include "utils/ms_context.h"
 #include "pybind_api/api_register.h"
 #include "pybind_api/export_flags.h"
 #include "pybind_api/ir/base_ref_py.h"
+#include "utils/convert_utils_base.h"
+#include "utils/convert_utils_py.h"
+#include "utils/ms_context.h"
+#include "utils/primitive_utils.h"
 
 namespace mindspore {
 namespace {
@@ -107,6 +108,42 @@ py::tuple check_bprop_out(const py::object &grads_obj, const py::tuple &py_args)
   return grads;
 }
 
+void PrimitivePy::CheckHookConsistency(const py::object &grad_out, const py::object &expected_grad_out) const {
+  if (py::isinstance<py::tuple>(expected_grad_out)) {
+    if (!py::isinstance<py::tuple>(grad_out)) {
+      hook_grad_.clear();
+      MS_EXCEPTION(TypeError) << "The output gradient should be a tuple!";
+    }
+    auto actual_out_tuple = py::cast<py::tuple>(grad_out);
+    auto expected_out_tuple = py::cast<py::tuple>(expected_grad_out);
+    if (actual_out_tuple.size() != expected_out_tuple.size()) {
+      hook_grad_.clear();
+      MS_EXCEPTION(ValueError) << "The tuple size of output gradient should be " << expected_out_tuple.size()
+                               << ", but it is " << actual_out_tuple.size();
+    }
+    for (size_t i = 0; i < expected_out_tuple.size(); ++i) {
+      CheckHookConsistency(actual_out_tuple[i], expected_out_tuple[i]);
+    }
+  }
+
+  if (py::isinstance<tensor::Tensor>(expected_grad_out)) {
+    if (!py::isinstance<tensor::Tensor>(grad_out)) {
+      hook_grad_.clear();
+      MS_EXCEPTION(TypeError) << "The output gradient should be a tensor!";
+    }
+    auto actual_out_tensor = py::cast<tensor::TensorPtr>(grad_out);
+    auto expected_out_tensor = py::cast<tensor::TensorPtr>(expected_grad_out);
+    MS_EXCEPTION_IF_NULL(actual_out_tensor);
+    MS_EXCEPTION_IF_NULL(expected_out_tensor);
+    if (actual_out_tensor->GetShapeAndDataTypeInfo() != expected_out_tensor->GetShapeAndDataTypeInfo()) {
+      hook_grad_.clear();
+      MS_EXCEPTION(ValueError) << "The output gradient is not consistent with the expected, it should be "
+                               << expected_out_tensor->GetShapeAndDataTypeInfo() << ", but it is "
+                               << actual_out_tensor->GetShapeAndDataTypeInfo();
+    }
+  }
+}
+
 BaseRef PrimitivePy::RunHookFunction(const VectorRef &args) const {
   py::tuple py_args = ConvertDatatoPyTuple(args);
   bool is_bprop = this->HasAttr(kBpropAttrName);
@@ -138,6 +175,7 @@ BaseRef PrimitivePy::RunHookFunction(const VectorRef &args) const {
       if (py::isinstance<py::none>(obj)) {
         obj = py_args[2];
       }
+      CheckHookConsistency(obj, py_args[2]);
       hook_grad_.erase(cell_id);
     } else {
       hook_grad_[cell_id] = py_args[2];
@@ -149,6 +187,7 @@ BaseRef PrimitivePy::RunHookFunction(const VectorRef &args) const {
     if (py::isinstance<py::none>(obj)) {
       obj = py_args[2];
     }
+    CheckHookConsistency(obj, py_args[2]);
   }
   obj = py::make_tuple(obj);
   return std::make_shared<PyObjectRef>(obj);

mindspore/ccsrc/pybind_api/ir/primitive_py.h

@@ -17,20 +17,20 @@
 #ifndef MINDSPORE_CCSRC_UTILS_PRIMITIVE_PY_H_
 #define MINDSPORE_CCSRC_UTILS_PRIMITIVE_PY_H_
 
-#include <unordered_map>
+#include <map>
-#include <vector>
 #include <memory>
 #include <string>
 #include <tuple>
-#include <map>
+#include <unordered_map>
+#include <vector>
 
 #include "abstract/abstract_value.h"
-#include "utils/misc.h"
+#include "frontend/parallel/ops_info/operator_info.h"
-#include "pybind11/pybind11.h"
-#include "utils/log_adapter.h"
 #include "ir/primitive.h"
 #include "ir/signature.h"
-#include "frontend/parallel/ops_info/operator_info.h"
+#include "pybind11/pybind11.h"
+#include "utils/log_adapter.h"
+#include "utils/misc.h"
 
 namespace py = pybind11;
 namespace mindspore {
@@ -69,6 +69,7 @@ class PrimitivePy : public Primitive {
 
  private:
   py::function GetComputeFunction() const;
+  void CheckHookConsistency(const py::object &grad_out, const py::object &expected_grad_out) const;
   py::object python_obj_;
   py::function hook_;
   std::vector<Signature> signatures_;