fix

ge/hybrid/node_executor/aicpu/aicpu_node_executor.h

@@ -65,23 +65,6 @@ class AicpuNodeTaskBase : public NodeTask {
 
   static Status AllocTensorBuffer(size_t size, std::unique_ptr<TensorBuffer> &tensor_buffer);
 
-  virtual Status CopyDataToHbm(TaskContext &context,
-                               const std::vector<std::unique_ptr<TensorBuffer>> &out_shape_hbm) = 0;
-
-  ///
-  /// read result summary and prepare copy task memory.
-  /// @param context task context
-  /// @param out_shape_hbm if scalar, TensorBuffer->data is null, size=0
-  /// @return SUCCESS:success other:failed
-  ///
-  Status ReadResultSummaryAndPrepareMemory(TaskContext &context,
-                                           std::vector<std::unique_ptr<TensorBuffer>> &out_shape_hbm);
-
-  Status UpdateShapeByHbmBuffer(TaskContext &context,
-                                const std::vector<std::unique_ptr<TensorBuffer>> &out_shape_hbm);
-
-  Status PrepareCopyInputs(const TaskContext &context,
-                           const std::vector<std::unique_ptr<TensorBuffer>> &out_shape_hbm);
   Status DistributeWaitTaskForAicpuBlockingOp(rtStream_t stream);
   Status CheckDeviceSupportBlockingAicpuOpProcess(bool &is_support);
   Status UpdateEventIdForBlockingAicpuOp();
@@ -132,14 +115,6 @@ class AicpuNodeTaskBase : public NodeTask {
   // for blocking aicpu op
   bool is_blocking_aicpu_op_ = false;
   rtEvent_t rt_event_ = nullptr;
-
-  std::vector<std::unique_ptr<TensorBuffer>> output_summary_;
-  std::vector<aicpu::FWKAdapter::ResultSummary> output_summary_host_;
-
-  std::unique_ptr<TensorBuffer> copy_input_release_flag_dev_;
-  std::unique_ptr<TensorBuffer> copy_input_data_size_dev_;
-  std::unique_ptr<TensorBuffer> copy_input_src_dev_;
-  std::unique_ptr<TensorBuffer> copy_input_dst_dev_;
 };
 
 class AicpuTfNodeTask : public AicpuNodeTaskBase {