diff --git a/mindspore/ccsrc/include/common/utils/utils.h b/mindspore/ccsrc/include/common/utils/utils.h
index d60fc56d512..528cde2d538 100644
--- a/mindspore/ccsrc/include/common/utils/utils.h
+++ b/mindspore/ccsrc/include/common/utils/utils.h
@@ -1137,6 +1137,7 @@ constexpr auto kAttrPreKernelGraph = "pre_kernel_graph";
 constexpr auto kAttrNeedInline = "need_inline";
 constexpr auto kAttrOriFusionName = "ori_fusion_name";
 constexpr auto kAttrDynamicLenName = "is_dynamic_len";
+constexpr auto kAttrForFormatChange = "for_format_change";
 
 // FuncGraph Flags
 constexpr auto kFlagIsPynativeBpropGraph = "is_pynative_bprop_graph";
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/ascend_backend_optimization.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/ascend_backend_optimization.cc
index cb6d2659caf..aab89d19134 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/ascend_backend_optimization.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/ascend_backend_optimization.cc
@@ -187,6 +187,7 @@
 #include "plugin/device/ascend/optimizer/optimizer_factory.h"
 #include "plugin/device/ascend/hal/common/ascend_utils.h"
 #include "plugin/device/ascend/optimizer/ir_fission/ascend_convert_tuple_input_to_dynamic_input.h"
+#include "plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.h"
 
 namespace mindspore {
 namespace opt {
@@ -313,6 +314,7 @@ void AscendDataLayout(const std::shared_ptr<session::KernelGraph> &kernel_graph)
   data_layout_pm->AddPass(std::make_shared<CommonSubexpressionElimination>());
   data_layout_pm->AddPass(std::make_shared<RemoveReshapePair>());
   data_layout_pm->AddPass(std::make_shared<EliminateRedundantOp>());
+  data_layout_pm->AddPass(std::make_shared<ReplaceTransDataWithTranspose>());
   if (kernel_graph->has_flag(kFlagPyNativeRunInGraph)) {
     data_layout_pm->AddPass(std::make_shared<EliminateGraphOutputTransdata>());
   }
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.cc
new file mode 100644
index 00000000000..50f1ce4b192
--- /dev/null
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.cc
@@ -0,0 +1,155 @@
+/**
+ * Copyright 2023 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.
+ */
+
+#include "plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.h"
+#include <string>
+#include <memory>
+#include <set>
+#include <vector>
+#include "backend/common/optimizer/optimizer.h"
+#include "backend/common/optimizer/helper.h"
+#include "plugin/device/ascend/optimizer/ascend_helper.h"
+
+namespace mindspore {
+namespace opt {
+namespace {
+const size_t kTransDataInputIndex = 1;
+
+bool CheckTransDataSupport(const AnfNodePtr &node) {
+  MS_EXCEPTION_IF_NULL(node);
+  if (!common::AnfAlgo::IsDynamicShape(node)) {
+    return true;
+  }
+  static std::set<string> format_list = {kOpFormat_DEFAULT, kOpFormat_NCHW, kOpFormat_CHWN, kOpFormat_HWCN,
+                                         kOpFormat_NHWC};
+  auto input_format = AnfAlgo::GetInputFormat(node, 0);
+  auto output_format = AnfAlgo::GetOutputFormat(node, 0);
+  auto input_shape = AnfAlgo::GetInputDeviceShape(node, 0);
+  auto output_shape = AnfAlgo::GetOutputDeviceShape(node, 0);
+  return format_list.find(input_format) == format_list.end() || format_list.find(output_format) == format_list.end() ||
+         input_shape.size() != kDim4 || output_shape.size() != kDim4;
+}
+
+std::vector<int64_t> GetTransposePerm(const AnfNodePtr &node) {
+  MS_EXCEPTION_IF_NULL(node);
+  auto input_format = AnfAlgo::GetInputFormat(node, 0);
+  auto output_format = AnfAlgo::GetOutputFormat(node, 0);
+  if (input_format == kOpFormat_DEFAULT) {
+    input_format = kOpFormat_NCHW;
+  }
+  if (output_format == kOpFormat_DEFAULT) {
+    output_format = kOpFormat_NCHW;
+  }
+  std::vector<int64_t> perm_value;
+  for (size_t i = 0; i < output_format.size(); i++) {
+    auto index = input_format.find((output_format[i]));
+    if (index == std::string::npos) {
+      MS_LOG(EXCEPTION) << "Can not find output dim [" << output_format[i] << "] in input format [" << input_format
+                        << "].";
+    }
+    perm_value.emplace_back(index);
+  }
+  return perm_value;
+}
+
+ValueNodePtr CreatePermValueNode(const FuncGraphPtr &graph, const AnfNodePtr &node) {
+  MS_EXCEPTION_IF_NULL(node);
+  auto perm = GetTransposePerm(node);
+  auto perm_value = std::make_shared<tensor::Tensor>(perm, kInt64);
+  auto perm_node = NewValueNode(perm_value);
+  MS_EXCEPTION_IF_NULL(perm_node);
+  auto value_abstract = perm_value->ToAbstract();
+  perm_node->set_abstract(value_abstract);
+  auto kernel_info = std::make_shared<device::KernelInfo>();
+  MS_EXCEPTION_IF_NULL(kernel_info);
+  perm_node->set_kernel_info(kernel_info);
+  kernel::KernelBuildInfo::KernelBuildInfoBuilder builder;
+  builder.SetOutputsFormat({kOpFormat_DEFAULT});
+  builder.SetOutputsDeviceType({kNumberTypeInt64});
+  builder.SetOutputsKernelObjectType({kernel::KernelObjectType::TENSOR});
+  AnfAlgo::SetSelectKernelBuildInfo(builder.Build(), perm_node.get());
+  auto kernel_graph = graph->cast<KernelGraphPtr>();
+  MS_EXCEPTION_IF_NULL(kernel_graph);
+  kernel_graph->AddValueNodeToGraph(perm_node);
+  return perm_node;
+}
+
+void SetKernelBuildInfo(const AnfNodePtr &transdata, const AnfNodePtr &transpose) {
+  MS_EXCEPTION_IF_NULL(transpose);
+  MS_EXCEPTION_IF_NULL(transdata);
+  kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
+  selected_kernel_builder.SetInputsFormat({AnfAlgo::GetInputFormat(transdata, 0), kOpFormat_DEFAULT});
+  selected_kernel_builder.SetInputsDeviceType(
+    {AnfAlgo::GetInputDeviceDataType(transdata, 0), TypeId::kNumberTypeInt64});
+  selected_kernel_builder.SetOutputsFormat({AnfAlgo::GetOutputFormat(transdata, 0)});
+  selected_kernel_builder.SetOutputsDeviceType({AnfAlgo::GetOutputDeviceDataType(transdata, 0)});
+  selected_kernel_builder.SetInputsKernelObjectType(
+    {kernel::KernelObjectType::TENSOR, kernel::KernelObjectType::TENSOR});
+  selected_kernel_builder.SetOutputsKernelObjectType({kernel::KernelObjectType::TENSOR});
+  selected_kernel_builder.SetInputsReshapeType({"", ""});
+  selected_kernel_builder.SetOutputsReshapeType({""});
+  selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
+  selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
+  AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), transpose.get());
+}
+
+AnfNodePtr CreateNewTranspose(const FuncGraphPtr &func_graph, const AnfNodePtr &node, const PatternProcessPass &pass) {
+  MS_EXCEPTION_IF_NULL(func_graph);
+  MS_EXCEPTION_IF_NULL(node);
+  auto cnode = node->cast<CNodePtr>();
+  MS_EXCEPTION_IF_NULL(cnode);
+  auto perm_node = CreatePermValueNode(func_graph, node);
+  std::vector<AnfNodePtr> inputs = {NewValueNode(std::make_shared<Primitive>(kTransposeOpName)),
+                                    cnode->input(kTransDataInputIndex), perm_node};
+  auto transpose = pass.NewCNode(inputs, func_graph);
+  MS_EXCEPTION_IF_NULL(transpose);
+  SetKernelBuildInfo(node, transpose);
+  std::vector<std::string> input_names = {"x", "perm"};
+  std::vector<std::string> output_names = {"output"};
+  common::AnfAlgo::SetNodeAttr(kAttrInputNames, MakeValue(input_names), transpose);
+  common::AnfAlgo::SetNodeAttr(kAttrOutputNames, MakeValue(output_names), transpose);
+  common::AnfAlgo::SetNodeAttr(kAttrForFormatChange, MakeValue(true), transpose);
+  transpose->set_abstract(node->abstract());
+  transpose->set_scope(node->scope());
+  return transpose;
+}
+}  // namespace
+
+const BaseRef ReplaceTransDataWithTranspose::DefinePattern() const {
+  VarPtr x1 = std::make_shared<Var>();
+  return VectorRef({prim::kPrimTransData, x1});
+}
+
+const AnfNodePtr ReplaceTransDataWithTranspose::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
+                                                        const EquivPtr &) const {
+  MS_EXCEPTION_IF_NULL(func_graph);
+  MS_EXCEPTION_IF_NULL(node);
+  MS_LOG(DEBUG) << "Process node: " << node->fullname_with_scope();
+  if (CheckTransDataSupport(node)) {
+    MS_LOG(DEBUG) << "TransData is support, no need replace. node: " << node->fullname_with_scope();
+    return nullptr;
+  }
+  auto transpose = CreateNewTranspose(func_graph, node, *this);
+  MS_EXCEPTION_IF_NULL(transpose);
+  MS_LOG(DEBUG) << "TransData is not supported from input format " << AnfAlgo::GetInputFormat(node, 0)
+                << " to output format " << AnfAlgo::GetOutputFormat(node, 0)
+                << " in dynamic shape scenario, replace TransData with Transpose."
+                << " Origin TransData: " << node->fullname_with_scope()
+                << ", New Transpose: " << transpose->fullname_with_scope();
+  return transpose;
+}
+}  // namespace opt
+}  // namespace mindspore
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.h b/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.h
new file mode 100644
index 00000000000..2f680ad3f4a
--- /dev/null
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/format_type/replace_transdata_with_transpose.h
@@ -0,0 +1,38 @@
+/**
+ * Copyright 2023 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_BACKEND_OPTIMIZER_ASCEND_FORMAT_TYPE_REPLACE_TRANSDATA_WITH_TRANSPOSE_H
+#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_FORMAT_TYPE_REPLACE_TRANSDATA_WITH_TRANSPOSE_H
+
+#include <string>
+#include <memory>
+#include "backend/common/optimizer/optimizer.h"
+#include "backend/common/optimizer/helper.h"
+#include "plugin/device/ascend/optimizer/ascend_helper.h"
+
+namespace mindspore {
+namespace opt {
+class ReplaceTransDataWithTranspose : public PatternProcessPass {
+ public:
+  explicit ReplaceTransDataWithTranspose(bool multigraph = true)
+      : PatternProcessPass("replace_transdata_with_transpose", multigraph) {}
+  ~ReplaceTransDataWithTranspose() override = default;
+  const BaseRef DefinePattern() const override;
+  const AnfNodePtr Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node, const EquivPtr &) const override;
+};
+}  // namespace opt
+}  // namespace mindspore
+#endif  // MINDSPORE_REPLACE_TRANSDATA_WITH_TRANSPOSE_H
diff --git a/mindspore/core/ops/transpose.cc b/mindspore/core/ops/transpose.cc
index 43b9513217d..4d1ff9d0b66 100644
--- a/mindspore/core/ops/transpose.cc
+++ b/mindspore/core/ops/transpose.cc
@@ -82,6 +82,11 @@ class TransposeInfer : public abstract::OpInferBase {
     CheckAndConvertUtils::CheckInputArgs(input_args, kEqual, kInputNum, op_name);
     auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
     (void)CheckAndConvertUtils::CheckInteger("input_x size", SizeToLong(x_shape.size()), kGreaterThan, 0, op_name);
+
+    auto for_format_change_value = primitive->GetAttr(kAttrForFormatChange);
+    if (for_format_change_value != nullptr && GetValue<bool>(for_format_change_value)) {
+      return std::make_shared<abstract::Shape>(x_shape);
+    }
     ShapeVector p_value;
     if (x_shape[0] == 0) {
       MS_EXCEPTION(ValueError) << "For 'Transpose', first dim of input_x's shape can not be 0, but got 0.";