| # 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. |
| |
| from __future__ import print_function |
| import os |
| # uncomment to set the number of worker threads. |
| # os.environ["MXNET_CPU_WORKER_NTHREADS"] = "4" |
| import time |
| import mxnet as mx |
| |
| |
| def run_imageiter(path_rec, n, batch_size=32): |
| |
| data = mx.img.ImageIter(batch_size=batch_size, |
| data_shape=(3, 224, 224), |
| path_imgrec=path_rec, |
| rand_crop=True, |
| rand_resize=True, |
| rand_mirror=True) |
| data.reset() |
| tic = time.time() |
| for i in range(n): |
| data.next() |
| mx.nd.waitall() |
| print(batch_size*n/(time.time() - tic)) |
| |
| |
| if __name__ == '__main__': |
| mx.profiler.set_config(profile_all=True, filename='profile_imageiter.json') |
| mx.profiler.set_state('run') |
| run_imageiter('test.rec', 20) # See https://mxnet.io/tutorials/python/image_io.html for how to create .rec files. |
| mx.profiler.set_state('stop') |