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# Copyright 2016 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.
# ==============================================================================
"""Tests for StatSummarizer Python wrapper."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.protobuf import config_pb2
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class StatSummarizerTest(test.TestCase):
def testStatSummarizer(self):
with ops.Graph().as_default() as graph:
matrix1 = constant_op.constant([[3., 3.]], name=r"m1")
matrix2 = constant_op.constant([[2.], [2.]], name=r"m2")
product = math_ops.matmul(matrix1, matrix2, name=r"product")
graph_def = graph.as_graph_def()
ss = pywrap_tensorflow.NewStatSummarizer(graph_def.SerializeToString())
with self.cached_session() as sess:
sess.run(variables.global_variables_initializer())
for _ in range(20):
run_metadata = config_pb2.RunMetadata()
run_options = config_pb2.RunOptions(
trace_level=config_pb2.RunOptions.FULL_TRACE)
sess.run(product, options=run_options, run_metadata=run_metadata)
ss.ProcessStepStatsStr(run_metadata.step_stats.SerializeToString())
output_string = ss.GetOutputString()
print(output_string)
# Test it recorded running the expected number of times.
self.assertRegexpMatches(output_string, r"count=20")
# Test that a header line got printed.
self.assertRegexpMatches(output_string, r"====== .* ======")
# Test that the nodes we added were analyzed.
# The line for the op should contain both the op type (MatMul)
# and the name of the node (product)
self.assertRegexpMatches(output_string, r"MatMul.*product")
self.assertRegexpMatches(output_string, r"Const.*m1")
self.assertRegexpMatches(output_string, r"Const.*m2")
# Test that a CDF summed to 100%
self.assertRegexpMatches(output_string, r"100\.")
pywrap_tensorflow.DeleteStatSummarizer(ss)
if __name__ == "__main__":
test.main()
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