forked from mindspore-Ecosystem/mindspore
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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import sys
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import grpc
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import numpy as np
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import ms_service_pb2
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import ms_service_pb2_grpc
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def run():
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if len(sys.argv) > 2:
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sys.exit("input error")
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channel_str = ""
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if len(sys.argv) == 2:
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split_args = sys.argv[1].split('=')
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if len(split_args) > 1:
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channel_str = split_args[1]
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else:
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channel_str = 'localhost:5500'
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else:
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channel_str = 'localhost:5500'
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channel = grpc.insecure_channel(channel_str)
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stub = ms_service_pb2_grpc.MSServiceStub(channel)
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request = ms_service_pb2.PredictRequest()
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x = request.data.add()
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x.tensor_shape.dims.extend([2, 2])
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x.tensor_type = ms_service_pb2.MS_FLOAT32
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x.data = (np.ones([2, 2]).astype(np.float32)).tobytes()
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y = request.data.add()
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y.tensor_shape.dims.extend([2, 2])
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y.tensor_type = ms_service_pb2.MS_FLOAT32
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y.data = (np.ones([2, 2]).astype(np.float32)).tobytes()
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try:
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result = stub.Predict(request)
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result_np = np.frombuffer(result.result[0].data, dtype=np.float32).reshape(result.result[0].tensor_shape.dims)
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print("ms client received: ")
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print(result_np)
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except grpc.RpcError as e:
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print(e.details())
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status_code = e.code()
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print(status_code.name)
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print(status_code.value)
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if __name__ == '__main__':
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run()
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