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tests/python/profiling/simple_forward.py
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acphile
Simplify mxnet.gluon Block APIs (#18413)
19 июн 2020, 09:31
Не верифицирован
19 июн 2020, 09:31
cb54a4a
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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 mxnet as mx from mxnet.gluon import nn def simple_forward(): ctx = mx.gpu() mx.profiler.set_config(profile_all=True) mx.profiler.set_state('run') # define simple gluon network with random weights net = nn.Sequential() net.add(nn.Dense(128, activation='relu')) net.add(nn.Dense(64, activation='relu')) net.add(nn.Dense(10)) net.initialize(mx.init.Xavier(magnitude=2.24), ctx=ctx) input = mx.nd.zeros((128,), ctx=ctx) predictions = net(input) print('Ran simple NN forward, results:') print(predictions.asnumpy()) if __name__ == '__main__': simple_forward()