!265 [bug]fix InsertGradientOf with Parameter.

Merge pull request !265 from vlne-v1/I1EE1P-insertgradiendof-with-parameter

mindspore/ccsrc/optimizer/irpass.cc

@@ -40,6 +40,7 @@
 #include "optimizer/irpass/incorporate_getitem.h"
 #include "optimizer/irpass/incorporate_call.h"
 #include "optimizer/irpass/grad_var_prepare.h"
+#include "optimizer/irpass/param_replace.h"
 
 namespace mindspore {
 namespace opt {
@@ -81,6 +82,7 @@ OptimizeIRPassLib::OptimizeIRPassLib() {
   get_make_ref_eliminate_ =
     MakeSubstitution(GetMakeRefEliminater(), "get_make_ref_eliminate", {prim::kPrimGetRefKey, prim::kPrimGetRefValue});
   replace_refkey_by_param_ = MakeSubstitution(ReplaceRefkeyByParam(), "replace_refkey_by_param", IsValueNode<RefKey>);
+  replace_old_param_ = MakeSubstitution(ReplaceOldParam(), "replace_old_param", IsParam);
 
   // Gradient transforms
   expand_jprim_ = MakeSubstitution(ExpandJPrim(), "expand_jprim", prim::kPrimJ);

mindspore/ccsrc/optimizer/irpass.h

@@ -58,6 +58,7 @@ class OptimizeIRPassLib {
   SubstitutionPtr make_ref_eliminate_;
   SubstitutionPtr get_make_ref_eliminate_;
   SubstitutionPtr replace_refkey_by_param_;
+  SubstitutionPtr replace_old_param_;
 
   // Branch culling
   SubstitutionPtr switch_simplify_;

mindspore/ccsrc/optimizer/irpass/param_replace.h

@@ -0,0 +1,60 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_CCSRC_OPTIMIZER_IRPASS_PARAM_REPLACE_H_
+#define MINDSPORE_CCSRC_OPTIMIZER_IRPASS_PARAM_REPLACE_H_
+
+#include <memory>
+
+#include "optimizer/optimizer.h"
+#include "optimizer/irpass.h"
+#include "ir/visitor.h"
+#include "operator/ops.h"
+#include "pipeline/parse/parse.h"
+
+namespace mindspore {
+namespace opt {
+namespace irpass {
+class ReplaceOldParam : public AnfVisitor {
+ public:
+  AnfNodePtr operator()(const OptimizerPtr &optimizer, const AnfNodePtr &node) override {
+    if (!IsParam(node)) {
+      return nullptr;
+    }
+    auto resource = std::dynamic_pointer_cast<pipeline::Resource>(optimizer->resource());
+    MS_EXCEPTION_IF_NULL(resource);
+
+    auto top_graph = resource->func_graph();  // parse::Parser::GetTopFuncGraph();
+    MS_EXCEPTION_IF_NULL(top_graph);
+
+    auto param_node = node->cast<ParameterPtr>();
+    if (!param_node->has_default() || node->func_graph() == top_graph) {
+      return nullptr;
+    }
+    auto para_name = param_node->name();
+    for (const auto &tnode : top_graph->parameters()) {
+      auto para = tnode->cast<ParameterPtr>();
+      if (para != nullptr && para->name() == para_name) {
+        return para;
+      }
+    }
+    return nullptr;
+  }
+};
+}  // namespace irpass
+}  // namespace opt
+}  // namespace mindspore
+#endif  // MINDSPORE_CCSRC_OPTIMIZER_IRPASS_PARAM_REPLACE_H_

mindspore/ccsrc/pipeline/action.cc

@@ -88,6 +88,7 @@ FuncGraphPtr Renormalize(const ResourcePtr& res, const FuncGraphPtr& func_graph,
   double t2 = GetTime();
 #endif
   auto ret = ProgramSpecialize(res, func_graph, result.context);
+  res->set_func_graph(ret);
 #ifdef ENABLE_PROFILE
   double t3 = GetTime();
   MsProfile::StatTime("renormalize.infer", t2 - t1);

mindspore/ccsrc/pipeline/pass.cc

@@ -114,11 +114,9 @@ OptPassGroupMap GetOptPassesA(const opt::irpass::OptimizeIRPassLib& irpass) {
   opt::OptPassConfig grad = opt::OptPassConfig({irpass.expand_jprim_}, true);
   opt::irpass::ResolveIRPassLib resolve_irpass;
 
-  opt::OptPassConfig resolve_pass = opt::OptPassConfig({
-    resolve_irpass.resolver_resolve_,
-    resolve_irpass.resolver_getattr_,
-    irpass.get_make_ref_eliminate_,
-  });
+  opt::OptPassConfig resolve_pass =
+    opt::OptPassConfig({resolve_irpass.resolver_resolve_, resolve_irpass.resolver_getattr_,
+                        irpass.get_make_ref_eliminate_, irpass.replace_old_param_});
 
   OptPassGroupMap map_a({{"a_1", a_1},
                          {"a_2", a_2},

tests/ut/python/pynative_mode/test_insert_grad_of.py

@@ -129,7 +129,7 @@ def test_cell_assign():
             self.matrix_g = mindspore.Parameter(Tensor(np.ones([2, 2], np.float32)), name="matrix_g")
 
         def save_gradient(self, dout):
-            self.matrix_g = dout
+            self.matrix_g = dout + self.matrix_g
             return dout
 
         def construct(self, x, y):