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56 lines
2.0 KiB
56 lines
2.0 KiB
# 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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from concurrent import futures
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import time
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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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import test_cpu_lenet
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from mindspore import Tensor
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class MSService(ms_service_pb2_grpc.MSServiceServicer):
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def Predict(self, request, context):
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request_data = request.data
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request_label = request.label
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data_from_buffer = np.frombuffer(request_data.data, dtype=np.float32)
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data_from_buffer = data_from_buffer.reshape(request_data.tensor_shape.dims)
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data = Tensor(data_from_buffer)
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label_from_buffer = np.frombuffer(request_label.data, dtype=np.int32)
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label_from_buffer = label_from_buffer.reshape(request_label.tensor_shape.dims)
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label = Tensor(label_from_buffer)
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result = test_cpu_lenet.test_lenet(data, label)
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result_reply = ms_service_pb2.PredictReply()
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result_reply.result.tensor_shape.dims.extend(result.shape())
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result_reply.result.data = result.asnumpy().tobytes()
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return result_reply
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def serve():
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=1))
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ms_service_pb2_grpc.add_MSServiceServicer_to_server(MSService(), server)
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server.add_insecure_port('[::]:50051')
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server.start()
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try:
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while True:
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time.sleep(60*60*24) # one day in seconds
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except KeyboardInterrupt:
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server.stop(0)
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if __name__ == '__main__':
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serve()
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