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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 tensorflow.python.framework.importer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import os
import random
from tensorflow.core.util import test_log_pb2
from tensorflow.python.client import session
from tensorflow.python.framework import constant_op
from tensorflow.python.platform import benchmark
from tensorflow.python.platform import gfile
from tensorflow.python.platform import test
# Used by SomeRandomBenchmark class below.
_ran_somebenchmark_1 = [False]
_ran_somebenchmark_2 = [False]
_ran_somebenchmark_but_shouldnt = [False]
class SomeRandomBenchmark(test.Benchmark):
"""This Benchmark should automatically be registered in the registry."""
def _dontRunThisBenchmark(self):
_ran_somebenchmark_but_shouldnt[0] = True
def notBenchmarkMethod(self):
_ran_somebenchmark_but_shouldnt[0] = True
def benchmark1(self):
_ran_somebenchmark_1[0] = True
def benchmark2(self):
_ran_somebenchmark_2[0] = True
class TestReportingBenchmark(test.Benchmark):
"""This benchmark (maybe) reports some stuff."""
def benchmarkReport1(self):
self.report_benchmark(iters=1)
def benchmarkReport2(self):
self.report_benchmark(
iters=2,
name="custom_benchmark_name",
extras={"number_key": 3,
"other_key": "string"})
def benchmark_times_an_op(self):
with session.Session(config=benchmark.benchmark_config()) as sess:
a = constant_op.constant(0.0)
a_plus_a = a + a
return self.run_op_benchmark(
sess, a_plus_a, min_iters=1000, store_trace=True, name="op_benchmark")
class BenchmarkTest(test.TestCase):
def testGlobalBenchmarkRegistry(self):
registry = list(benchmark.GLOBAL_BENCHMARK_REGISTRY)
self.assertEqual(len(registry), 2)
self.assertTrue(SomeRandomBenchmark in registry)
self.assertTrue(TestReportingBenchmark in registry)
def testRunSomeRandomBenchmark(self):
# Validate that SomeBenchmark has not run yet
self.assertFalse(_ran_somebenchmark_1[0])
self.assertFalse(_ran_somebenchmark_2[0])
self.assertFalse(_ran_somebenchmark_but_shouldnt[0])
# Run other benchmarks, but this wont run the one we care about
benchmark._run_benchmarks("unrelated")
# Validate that SomeBenchmark has not run yet
self.assertFalse(_ran_somebenchmark_1[0])
self.assertFalse(_ran_somebenchmark_2[0])
self.assertFalse(_ran_somebenchmark_but_shouldnt[0])
# Run all the benchmarks, avoid generating any reports
if benchmark.TEST_REPORTER_TEST_ENV in os.environ:
del os.environ[benchmark.TEST_REPORTER_TEST_ENV]
benchmark._run_benchmarks("SomeRandom")
# Validate that SomeRandomBenchmark ran correctly
self.assertTrue(_ran_somebenchmark_1[0])
self.assertTrue(_ran_somebenchmark_2[0])
self.assertFalse(_ran_somebenchmark_but_shouldnt[0])
_ran_somebenchmark_1[0] = False
_ran_somebenchmark_2[0] = False
_ran_somebenchmark_but_shouldnt[0] = False
# Test running a specific method of SomeRandomBenchmark
if benchmark.TEST_REPORTER_TEST_ENV in os.environ:
del os.environ[benchmark.TEST_REPORTER_TEST_ENV]
benchmark._run_benchmarks("SomeRandom.*1$")
self.assertTrue(_ran_somebenchmark_1[0])
self.assertFalse(_ran_somebenchmark_2[0])
self.assertFalse(_ran_somebenchmark_but_shouldnt[0])
def testReportingBenchmark(self):
tempdir = test.get_temp_dir()
try:
gfile.MakeDirs(tempdir)
except OSError as e:
# It's OK if the directory already exists.
if " exists:" not in str(e):
raise e
prefix = os.path.join(tempdir,
"reporting_bench_%016x_" % random.getrandbits(64))
expected_output_file = "%s%s" % (prefix,
"TestReportingBenchmark.benchmarkReport1")
expected_output_file_2 = "%s%s" % (
prefix, "TestReportingBenchmark.custom_benchmark_name")
expected_output_file_3 = "%s%s" % (prefix,
"TestReportingBenchmark.op_benchmark")
try:
self.assertFalse(gfile.Exists(expected_output_file))
# Run benchmark but without env, shouldn't write anything
if benchmark.TEST_REPORTER_TEST_ENV in os.environ:
del os.environ[benchmark.TEST_REPORTER_TEST_ENV]
reporting = TestReportingBenchmark()
reporting.benchmarkReport1() # This should run without writing anything
self.assertFalse(gfile.Exists(expected_output_file))
# Runbenchmark with env, should write
os.environ[benchmark.TEST_REPORTER_TEST_ENV] = prefix
reporting = TestReportingBenchmark()
reporting.benchmarkReport1() # This should write
reporting.benchmarkReport2() # This should write
benchmark_values3 = reporting.benchmark_times_an_op() # This should write
# Check the files were written
self.assertTrue(gfile.Exists(expected_output_file))
self.assertTrue(gfile.Exists(expected_output_file_2))
self.assertTrue(gfile.Exists(expected_output_file_3))
# Check the contents are correct
expected_1 = test_log_pb2.BenchmarkEntry()
expected_1.name = "TestReportingBenchmark.benchmarkReport1"
expected_1.iters = 1
expected_2 = test_log_pb2.BenchmarkEntry()
expected_2.name = "TestReportingBenchmark.custom_benchmark_name"
expected_2.iters = 2
expected_2.extras["number_key"].double_value = 3
expected_2.extras["other_key"].string_value = "string"
expected_3 = test_log_pb2.BenchmarkEntry()
expected_3.name = "TestReportingBenchmark.op_benchmark"
expected_3.iters = 1000
def read_benchmark_entry(f):
s = gfile.GFile(f, "rb").read()
entries = test_log_pb2.BenchmarkEntries.FromString(s)
self.assertEquals(1, len(entries.entry))
return entries.entry[0]
read_benchmark_1 = read_benchmark_entry(expected_output_file)
self.assertProtoEquals(expected_1, read_benchmark_1)
read_benchmark_2 = read_benchmark_entry(expected_output_file_2)
self.assertProtoEquals(expected_2, read_benchmark_2)
read_benchmark_3 = read_benchmark_entry(expected_output_file_3)
self.assertEquals(expected_3.name, read_benchmark_3.name)
self.assertEquals(expected_3.iters, read_benchmark_3.iters)
self.assertGreater(read_benchmark_3.wall_time, 0)
# Trace is not stored in benchmark entry. Instead we get it from
# return value of `run_op_benchmark` call.
full_trace = benchmark_values3["extras"]["full_trace_chrome_format"]
json_trace = json.loads(full_trace)
self.assertTrue(isinstance(json_trace, dict))
self.assertTrue("traceEvents" in json_trace.keys())
allocator_keys = [k for k in read_benchmark_3.extras.keys()
if k.startswith("allocator_maximum_num_bytes_")]
self.assertGreater(len(allocator_keys), 0)
for k in allocator_keys:
self.assertGreater(read_benchmark_3.extras[k].double_value, 0)
finally:
gfile.DeleteRecursively(tempdir)
if __name__ == "__main__":
test.main()
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