mindspore/serving/example/python_client/ms_client.py

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# 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.
# ============================================================================
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import sys
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import grpc
import numpy as np
import ms_service_pb2
import ms_service_pb2_grpc
def run():
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if len(sys.argv) > 2:
sys.exit("input error")
channel_str = ""
if len(sys.argv) == 2:
split_args = sys.argv[1].split('=')
if len(split_args) > 1:
channel_str = split_args[1]
else:
channel_str = 'localhost:5500'
else:
channel_str = 'localhost:5500'
channel = grpc.insecure_channel(channel_str)
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stub = ms_service_pb2_grpc.MSServiceStub(channel)
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:
result = stub.Predict(request)
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)
except grpc.RpcError as e:
print(e.details())
status_code = e.code()
print(status_code.name)
print(status_code.value)
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if __name__ == '__main__':
run()