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# Copyright 2015 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 summary ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.framework import summary_pb2
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import logging_ops
from tensorflow.python.platform import test
from tensorflow.python.summary import summary
class SummaryOpsTest(test.TestCase):
def _AsSummary(self, s):
summ = summary_pb2.Summary()
summ.ParseFromString(s)
return summ
def testScalarSummary(self):
with self.test_session() as sess:
const = constant_op.constant([10.0, 20.0])
summ = logging_ops.scalar_summary(["c1", "c2"], const, name="mysumm")
value = sess.run(summ)
self.assertEqual([], summ.get_shape())
self.assertProtoEquals("""
value { tag: "c1" simple_value: 10.0 }
value { tag: "c2" simple_value: 20.0 }
""", self._AsSummary(value))
def testScalarSummaryDefaultName(self):
with self.test_session() as sess:
const = constant_op.constant([10.0, 20.0])
summ = logging_ops.scalar_summary(["c1", "c2"], const)
value = sess.run(summ)
self.assertEqual([], summ.get_shape())
self.assertProtoEquals("""
value { tag: "c1" simple_value: 10.0 }
value { tag: "c2" simple_value: 20.0 }
""", self._AsSummary(value))
def testMergeSummary(self):
with self.test_session() as sess:
const = constant_op.constant(10.0)
summ1 = summary.histogram("h", const)
summ2 = logging_ops.scalar_summary("c", const)
merge = summary.merge([summ1, summ2])
value = sess.run(merge)
self.assertEqual([], merge.get_shape())
self.assertProtoEquals("""
value {
tag: "h"
histo {
min: 10.0
max: 10.0
num: 1.0
sum: 10.0
sum_squares: 100.0
bucket_limit: 9.93809490288
bucket_limit: 10.9319043932
bucket_limit: 1.7976931348623157e+308
bucket: 0.0
bucket: 1.0
bucket: 0.0
}
}
value { tag: "c" simple_value: 10.0 }
""", self._AsSummary(value))
def testMergeAllSummaries(self):
with ops.Graph().as_default():
const = constant_op.constant(10.0)
summ1 = summary.histogram("h", const)
summ2 = summary.scalar("o", const, collections=["foo_key"])
summ3 = summary.scalar("c", const)
merge = summary.merge_all()
self.assertEqual("MergeSummary", merge.op.type)
self.assertEqual(2, len(merge.op.inputs))
self.assertEqual(summ1, merge.op.inputs[0])
self.assertEqual(summ3, merge.op.inputs[1])
merge = summary.merge_all("foo_key")
self.assertEqual("MergeSummary", merge.op.type)
self.assertEqual(1, len(merge.op.inputs))
self.assertEqual(summ2, merge.op.inputs[0])
self.assertTrue(summary.merge_all("bar_key") is None)
def testHistogramSummaryTypes(self):
with ops.Graph().as_default():
for dtype in (dtypes.int8, dtypes.uint8, dtypes.int16, dtypes.int32,
dtypes.float32, dtypes.float64):
const = constant_op.constant(10, dtype=dtype)
summary.histogram("h", const)
if __name__ == "__main__":
test.main()
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