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# Copyright 2017 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 pprof_profiler."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
from proto import profile_pb2
from tensorflow.core.framework import step_stats_pb2
from tensorflow.core.protobuf import config_pb2
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
from tensorflow.python.profiler import pprof_profiler
class PprofProfilerTest(test.TestCase):
def testDataEmpty(self):
output_dir = test.get_temp_dir()
run_metadata = config_pb2.RunMetadata()
graph = test.mock.MagicMock()
graph.get_operations.return_value = []
profiles = pprof_profiler.get_profiles(graph, run_metadata)
self.assertEquals(0, len(profiles))
profile_files = pprof_profiler.profile(
graph, run_metadata, output_dir)
self.assertEquals(0, len(profile_files))
def testRunMetadataEmpty(self):
output_dir = test.get_temp_dir()
run_metadata = config_pb2.RunMetadata()
graph = test.mock.MagicMock()
op1 = test.mock.MagicMock()
op1.name = 'Add/123'
op1.traceback = [('a/b/file1', 10, 'some_var')]
op1.type = 'add'
graph.get_operations.return_value = [op1]
profiles = pprof_profiler.get_profiles(graph, run_metadata)
self.assertEquals(0, len(profiles))
profile_files = pprof_profiler.profile(
graph, run_metadata, output_dir)
self.assertEquals(0, len(profile_files))
def testValidProfile(self):
output_dir = test.get_temp_dir()
run_metadata = config_pb2.RunMetadata()
node1 = step_stats_pb2.NodeExecStats(
node_name='Add/123',
op_start_rel_micros=3,
op_end_rel_micros=5,
all_end_rel_micros=4)
run_metadata = config_pb2.RunMetadata()
device1 = run_metadata.step_stats.dev_stats.add()
device1.device = 'deviceA'
device1.node_stats.extend([node1])
graph = test.mock.MagicMock()
op1 = test.mock.MagicMock()
op1.name = 'Add/123'
op1.traceback = [
('a/b/file1', 10, 'apply_op', 'abc'), ('a/c/file2', 12, 'my_op', 'def')]
op1.type = 'add'
graph.get_operations.return_value = [op1]
expected_proto = """sample_type {
type: 5
unit: 5
}
sample_type {
type: 6
unit: 7
}
sample_type {
type: 8
unit: 7
}
sample {
value: 1
value: 4
value: 2
label {
key: 1
str: 2
}
label {
key: 3
str: 4
}
}
string_table: ""
string_table: "node_name"
string_table: "Add/123"
string_table: "op_type"
string_table: "add"
string_table: "count"
string_table: "all_time"
string_table: "nanoseconds"
string_table: "op_time"
string_table: "Device 1 of 1: deviceA"
comment: 9
"""
# Test with protos
profiles = pprof_profiler.get_profiles(graph, run_metadata)
self.assertEquals(1, len(profiles))
self.assertTrue('deviceA' in profiles)
self.assertEquals(expected_proto, str(profiles['deviceA']))
# Test with files
profile_files = pprof_profiler.profile(
graph, run_metadata, output_dir)
self.assertEquals(1, len(profile_files))
with gzip.open(profile_files[0]) as profile_file:
profile_contents = profile_file.read()
profile = profile_pb2.Profile()
profile.ParseFromString(profile_contents)
self.assertEquals(expected_proto, str(profile))
def testProfileWithWhileLoop(self):
options = config_pb2.RunOptions()
options.trace_level = config_pb2.RunOptions.FULL_TRACE
run_metadata = config_pb2.RunMetadata()
num_iters = 5
with self.cached_session() as sess:
i = constant_op.constant(0)
c = lambda i: math_ops.less(i, num_iters)
b = lambda i: math_ops.add(i, 1)
r = control_flow_ops.while_loop(c, b, [i])
sess.run(r, options=options, run_metadata=run_metadata)
profiles = pprof_profiler.get_profiles(sess.graph, run_metadata)
self.assertEquals(1, len(profiles))
profile = next(iter(profiles.values()))
add_samples = [] # Samples for the while/Add node
for sample in profile.sample:
if profile.string_table[sample.label[0].str] == 'while/Add':
add_samples.append(sample)
# Values for same nodes are aggregated.
self.assertEquals(1, len(add_samples))
# Value of "count" should be equal to number of iterations.
self.assertEquals(num_iters, add_samples[0].value[0])
if __name__ == '__main__':
test.main()
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