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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" BAvSIS,
# 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 summary ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import six
from tensorflow.core.framework import summary_pb2
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import summary_ops
from tensorflow.python.platform import test
class SummaryOpsTest(test.TestCase):
def _SummarySingleValue(self, s):
summ = summary_pb2.Summary()
summ.ParseFromString(s)
self.assertEqual(len(summ.value), 1)
return summ.value[0]
def _AssertNumpyEq(self, actual, expected):
self.assertTrue(np.array_equal(actual, expected))
def testTags(self):
with self.cached_session() as sess:
c = constant_op.constant(1)
s1 = summary_ops.tensor_summary("s1", c)
with ops.name_scope("foo"):
s2 = summary_ops.tensor_summary("s2", c)
with ops.name_scope("zod"):
s3 = summary_ops.tensor_summary("s3", c)
s4 = summary_ops.tensor_summary("TensorSummary", c)
summ1, summ2, summ3, summ4 = sess.run([s1, s2, s3, s4])
v1 = self._SummarySingleValue(summ1)
self.assertEqual(v1.tag, "s1")
v2 = self._SummarySingleValue(summ2)
self.assertEqual(v2.tag, "foo/s2")
v3 = self._SummarySingleValue(summ3)
self.assertEqual(v3.tag, "foo/zod/s3")
v4 = self._SummarySingleValue(summ4)
self.assertEqual(v4.tag, "foo/zod/TensorSummary")
def testScalarSummary(self):
with self.cached_session() as sess:
const = constant_op.constant(10.0)
summ = summary_ops.tensor_summary("foo", const)
result = sess.run(summ)
value = self._SummarySingleValue(result)
n = tensor_util.MakeNdarray(value.tensor)
self._AssertNumpyEq(n, 10)
def testStringSummary(self):
s = six.b("foobar")
with self.cached_session() as sess:
const = constant_op.constant(s)
summ = summary_ops.tensor_summary("foo", const)
result = sess.run(summ)
value = self._SummarySingleValue(result)
n = tensor_util.MakeNdarray(value.tensor)
self._AssertNumpyEq(n, s)
def testManyScalarSummary(self):
with self.cached_session() as sess:
const = array_ops.ones([5, 5, 5])
summ = summary_ops.tensor_summary("foo", const)
result = sess.run(summ)
value = self._SummarySingleValue(result)
n = tensor_util.MakeNdarray(value.tensor)
self._AssertNumpyEq(n, np.ones([5, 5, 5]))
def testManyStringSummary(self):
strings = [[six.b("foo bar"), six.b("baz")], [six.b("zoink"), six.b("zod")]]
with self.cached_session() as sess:
const = constant_op.constant(strings)
summ = summary_ops.tensor_summary("foo", const)
result = sess.run(summ)
value = self._SummarySingleValue(result)
n = tensor_util.MakeNdarray(value.tensor)
self._AssertNumpyEq(n, strings)
def testManyBools(self):
bools = [True, True, True, False, False, False]
with self.cached_session() as sess:
const = constant_op.constant(bools)
summ = summary_ops.tensor_summary("foo", const)
result = sess.run(summ)
value = self._SummarySingleValue(result)
n = tensor_util.MakeNdarray(value.tensor)
self._AssertNumpyEq(n, bools)
def testSummaryDescriptionAndDisplayName(self):
with self.cached_session() as sess:
def get_description(summary_op):
summ_str = sess.run(summary_op)
summ = summary_pb2.Summary()
summ.ParseFromString(summ_str)
return summ.value[0].metadata
const = constant_op.constant(1)
# Default case; no description or display name
simple_summary = summary_ops.tensor_summary("simple", const)
descr = get_description(simple_summary)
self.assertEqual(descr.display_name, "")
self.assertEqual(descr.summary_description, "")
# Values are provided via function args
with_values = summary_ops.tensor_summary(
"simple",
const,
display_name="my name",
summary_description="my description")
descr = get_description(with_values)
self.assertEqual(descr.display_name, "my name")
self.assertEqual(descr.summary_description, "my description")
# Values are provided via the SummaryMetadata arg
metadata = summary_pb2.SummaryMetadata()
metadata.display_name = "my name"
metadata.summary_description = "my description"
with_metadata = summary_ops.tensor_summary(
"simple", const, summary_metadata=metadata)
descr = get_description(with_metadata)
self.assertEqual(descr.display_name, "my name")
self.assertEqual(descr.summary_description, "my description")
# If both SummaryMetadata and explicit args are provided, the args win
overwrite = summary_ops.tensor_summary(
"simple",
const,
summary_metadata=metadata,
display_name="overwritten",
summary_description="overwritten")
descr = get_description(overwrite)
self.assertEqual(descr.display_name, "overwritten")
self.assertEqual(descr.summary_description, "overwritten")
if __name__ == "__main__":
test.main()
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