blob: e16b9b7de45fcc1d54719e90bfcfabd9152f3146 [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# under the License.
import os
# uncomment to set the number of worker threads.
# os.environ["MXNET_CPU_WORKER_NTHREADS"] = "4"
from __future__ import print_function
import time
import mxnet as mx
import numpy as np
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.profiler_set_config(mode='all', filename='profile_imageiter.json')
mx.profiler.profiler_set_state('run')
run_imageiter('test.rec', 20) # See http://mxnet.io/tutorials/python/image_io.html for how to create .rec files.
mx.profiler.profiler_set_state('stop')