conv2d_unify_ir pass adapt for pynative

mindspore/ccsrc/backend/optimizer/ascend/mindir/conv2d_unify_mindir.cc

@@ -37,6 +37,7 @@ constexpr auto kAttrPadList = "pad_list";
 constexpr auto kAttrPads = "pads";
 constexpr auto kAttrMode = "mode";
 constexpr auto kAttrChannelMultiplier = "channel_multiplier";
+constexpr auto kAttrPerm = "perm";
 
 bool NeedUpdate(const CNodePtr &conv2d, std::vector<size_t> in_shape, std::vector<size_t> out_shape) {
   MS_EXCEPTION_IF_NULL(conv2d);
@@ -86,9 +87,16 @@ CNodePtr CreateTranspose(const FuncGraphPtr &graph, const CNodePtr &conv2d, cons
   MS_EXCEPTION_IF_NULL(graph);
   MS_EXCEPTION_IF_NULL(conv2d);
   MS_EXCEPTION_IF_NULL(input_node);
+  auto ms_context = MsContext::GetInstance();
+  MS_EXCEPTION_IF_NULL(ms_context);
   auto perm = std::vector<int64_t>{1, 0, 2, 3};
-  std::vector<AnfNodePtr> transpose_inputs = {NewValueNode(std::make_shared<Primitive>(kTransposeOpName)), input_node,
-                                              CreatePermValueNode(graph, perm)};
+  std::vector<AnfNodePtr> transpose_inputs;
+  if (ms_context->get_param<int>(MS_CTX_EXECUTION_MODE) == kPynativeMode) {
+    transpose_inputs = {NewValueNode(std::make_shared<Primitive>(kTransposeOpName)), input_node};
+  } else {
+    transpose_inputs = {NewValueNode(std::make_shared<Primitive>(kTransposeOpName)), input_node,
+                        CreatePermValueNode(graph, perm)};
+  }
   auto transpose = graph->NewCNode(transpose_inputs);
   MS_EXCEPTION_IF_NULL(transpose);
   transpose->set_scope(conv2d->scope());
@@ -111,6 +119,9 @@ CNodePtr CreateTranspose(const FuncGraphPtr &graph, const CNodePtr &conv2d, cons
   auto output_names = std::vector<std::string>{"output"};
   AnfAlgo::SetNodeAttr(kAttrInputNames, MakeValue(input_names), transpose);
   AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), transpose);
+  if (ms_context->get_param<int>(MS_CTX_EXECUTION_MODE) == kPynativeMode) {
+    AnfAlgo::SetNodeAttr(kAttrPerm, MakeValue(perm), transpose);
+  }
   return transpose;
 }