|
- # 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:5500')
- stub = ms_service_pb2_grpc.MSServiceStub(channel)
- request = ms_service_pb2.PredictRequest()
-
- x = request.data.add()
- x.tensor_shape.dims.extend([4])
- x.tensor_type = ms_service_pb2.MS_FLOAT32
- x.data = (np.ones([4]).astype(np.float32)).tobytes()
-
- y = request.data.add()
- y.tensor_shape.dims.extend([4])
- y.tensor_type = ms_service_pb2.MS_FLOAT32
- y.data = (np.ones([4]).astype(np.float32)).tobytes()
-
- result = stub.Predict(request)
- print(result)
- result_np = np.frombuffer(result.result[0].data, dtype=np.float32).reshape(result.result[0].tensor_shape.dims)
- print("ms client received: ")
- print(result_np)
-
- if __name__ == '__main__':
- run()
|