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# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Unit test for tf.scan under eager execution."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import numpy as np
import tensorflow as tf
class ScanBenchmark(tf.test.Benchmark):
def runScan(self, n):
elems = np.arange(n)
start_time = time.time()
_ = tf.scan(lambda a, x: a + x, elems, parallel_iterations=1)
wall_time = time.time() - start_time
self.report_benchmark(
name='scan',
iters=n,
wall_time=wall_time)
def benchmarkScan16000(self):
self.runScan(16000)
def benchmarkScan32000(self):
self.runScan(32000)
def benchmarkScan64000(self):
self.runScan(64000)
def benchmarkScan128000(self):
self.runScan(128000)
if __name__ == '__main__':
tf.enable_eager_execution()
tf.test.main()
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