text: # 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.
  # ============================================================================
  import grpc
  import numpy as np
  import ms_service_pb2
  import ms_service_pb2_grpc
  
  
  def run():
      channel = grpc.insecure_channel('localhost:50051')
      stub = ms_service_pb2_grpc.MSServiceStub(channel)
      # request = ms_service_pb2.EvalRequest()
      # request.name = 'haha'
      # response = stub.Eval(request)
      # print("ms client received: " + response.message)
  
      request = ms_service_pb2.PredictRequest()
      request.data.tensor_shape.dims.extend([32, 1, 32, 32])
      request.data.tensor_type = ms_service_pb2.MS_FLOAT32
      request.data.data = (np.ones([32, 1, 32, 32]).astype(np.float32) * 0.01).tobytes()
  
      request.label.tensor_shape.dims.extend([32])
      request.label.tensor_type = ms_service_pb2.MS_INT32
      request.label.data = np.ones([32]).astype(np.int32).tobytes()
  
      result = stub.Test(request)
      #result_np = np.frombuffer(result.result.data, dtype=np.float32).reshape(result.result.tensor_shape.dims)
      print("ms client test call received: ")
      #print(result_np)
  
  
  
  if __name__ == '__main__':
      run()
  