gpu optimize transpose

mindspore/ccsrc/backend/optimizer/gpu/insert_format_transform_op.cc

@@ -33,7 +33,25 @@ std::vector<int> TransposeAxis(const std::string &src_format, const std::string
   } else if ((src_format == kOpFormat_NHWC) && (dst_format == kOpFormat_NCHW)) {
     return {0, 3, 1, 2};
   } else {
-    MS_LOG(EXCEPTION) << "Invaild format transform, from " << src_format << " to " << dst_format;
+    MS_LOG(EXCEPTION) << "Invalid format transform, from " << src_format << " to " << dst_format;
+  }
+}
+
+// Transpose can be replaceed by nop reshape in some situations.
+// 1. out_shape [x, 1, 1, y] with transpose perm {0, 2, 3, 1}
+// 2. out_shape [x, y, 1, 1] with transpose perm {0, 3, 1, 2}
+bool IsFakeTranspose(const std::vector<size_t> &out_shape, const std::vector<int> &transpose_perm) {
+  if (out_shape.size() != 4) {
+    MS_LOG(EXCEPTION) << "Invalid data shape, 4-D data was needed, but get " << out_shape.size() << "-D.";
+  }
+  std::vector<int> perm1 = {0, 2, 3, 1};
+  std::vector<int> perm2 = {0, 3, 1, 2};
+  if (transpose_perm == perm1) {
+    return (out_shape[1] == 1 && out_shape[2] == 1);
+  } else if (transpose_perm == perm2) {
+    return (out_shape[2] == 1 && out_shape[3] == 1);
+  } else {
+    return false;
   }
 }
 
@@ -56,8 +74,16 @@ void SetTransposeOpBuildInfo(const std::string &input_format, const std::string
 CNodePtr InsertTransposeOp(const FuncGraphPtr &graph, const AnfNodePtr &node, const AnfNodePtr &used_node,
                            int used_node_index, const std::vector<int> &transpose_perm) {
   MS_EXCEPTION_IF_NULL(graph);
-  // 1.Create a transpose node.
-  auto transpose_prim = std::make_shared<Primitive>(prim::kPrimTranspose->name());
+  // 0.Judge whether it is a fake transpose
+  auto transed_shape = AnfAlgo::GetInputDeviceShape(used_node, used_node_index);
+  bool is_fake = IsFakeTranspose(transed_shape, transpose_perm);
+  // 1.Create a transpose node or a fake transpose node:reshape.
+  mindspore::PrimitivePtr transpose_prim;
+  if (is_fake) {
+    transpose_prim = std::make_shared<Primitive>(prim::kPrimReshape->name());
+  } else {
+    transpose_prim = std::make_shared<Primitive>(prim::kPrimTranspose->name());
+  }
   MS_EXCEPTION_IF_NULL(transpose_prim);
   // 2.Set the input of transpose.
   std::vector<AnfNodePtr> transpose_input = {NewValueNode(transpose_prim), node};
@@ -66,7 +92,9 @@ CNodePtr InsertTransposeOp(const FuncGraphPtr &graph, const AnfNodePtr &node, co
   auto transpose_type = {AnfAlgo::GetPrevNodeOutputInferDataType(used_node, used_node_index)};
   auto transpose_shape = {AnfAlgo::GetPrevNodeOutputInferShape(used_node, used_node_index)};
   AnfAlgo::SetOutputInferTypeAndShape(transpose_type, transpose_shape, transpose_op.get());
-  AnfAlgo::SetNodeAttr(kAttrPerm, MakeValue(transpose_perm), transpose_op);
+  if (!is_fake) {
+    AnfAlgo::SetNodeAttr(kAttrPerm, MakeValue(transpose_perm), transpose_op);
+  }
   // 4.Set the input of used_node.
   MS_LOG(DEBUG) << "Node: " << node->fullname_with_scope() << ", used node: " << used_node->fullname_with_scope()
                 << ", index: " << used_node_index;

mindspore/ccsrc/backend/optimizer/gpu/replace_bn_cast_fusion.cc

@@ -57,7 +57,7 @@ const AnfNodePtr ReplaceBNCastFusion::Process(const FuncGraphPtr &graph, const A
     if (item_idx == 0) {
       auto cast = GetRealNodeUsedList(graph, outlist->at(i).first);
       if (AnfAlgo::GetCNodeName(cast->at(0).first) != "Cast") {
-        return nullptr;
+        continue;
       }
       manager->Replace(utils::cast<CNodePtr>(cast->at(0).first), utils::cast<CNodePtr>(outlist->at(i).first));
       outputs_type.push_back(kNumberTypeFloat16);