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# Copyright 2018 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.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import ast
import os
from tensorflow.contrib.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.core.framework import graph_pb2
from tensorflow.python.platform import gfile
from tensorflow.python.platform import test
class ManualTest(trt_test.TfTrtIntegrationTestBase):
def __init__(self, methodName='runTest'): # pylint: disable=invalid-name
super(ManualTest, self).__init__(methodName)
self._params_map = None
def _GetEnv(self):
"""Get an environment variable specifying the manual test parameters.
The value of the environment variable is the string representation of a dict
which should contain the following keys:
- 'graph_path': the file path to the serialized frozen graphdef
- 'input_names': TfTrtIntegrationTestParams.input_names
- 'input_dims': TfTrtIntegrationTestParams.input_dims
- 'expected_output_dims': TfTrtIntegrationTestParams.expected_output_dims
- 'output_name': the name of op to fetch
- 'expected_engines_to_run': ExpectedEnginesToRun() will return this
- 'expected_engines_to_build': ExpectedEnginesToBuild() will return this
- 'max_batch_size': ConversionParams.max_batch_size
Returns:
The value of the environment variable.
"""
return os.getenv('TRT_MANUAL_TEST_PARAMS', '')
def _GetParamsMap(self):
"""Parse the environment variable as a dict and return it."""
if self._params_map is None:
self._params_map = ast.literal_eval(self._GetEnv())
return self._params_map
def GetParams(self):
"""Testing conversion of manually provided frozen graph."""
params_map = self._GetParamsMap()
gdef = graph_pb2.GraphDef()
with gfile.Open(params_map['graph_path'], 'rb') as f:
gdef.ParseFromString(f.read())
return trt_test.TfTrtIntegrationTestParams(
gdef=gdef,
input_names=params_map['input_names'],
input_dims=params_map['input_dims'],
output_names=params_map['output_names'],
expected_output_dims=params_map['expected_output_dims'])
def GetConversionParams(self, run_params):
"""Return a ConversionParams for test."""
conversion_params = super(ManualTest, self).GetConversionParams(run_params)
params_map = self._GetParamsMap()
if 'max_batch_size' in params_map:
conversion_params = conversion_params._replace(
max_batch_size=params_map['max_batch_size'])
return conversion_params
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return self._GetParamsMap()['expected_engines_to_build']
def ExpectedEnginesToRun(self, run_params):
"""Return the expected engines to run."""
params_map = self._GetParamsMap()
if 'expected_engines_to_run' in params_map:
return params_map['expected_engines_to_run']
return self.ExpectedEnginesToBuild(run_params)
def ExpectedAbsoluteTolerance(self, run_params):
"""The absolute tolerance to compare floating point results."""
params_map = self._GetParamsMap()
if 'atol' in params_map:
return params_map['atol']
return 1.e-3
def ExpectedRelativeTolerance(self, run_params):
"""The relative tolerance to compare floating point results."""
params_map = self._GetParamsMap()
if 'rtol' in params_map:
return params_map['rtol']
return 1.e-3
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return len(self._GetEnv())
if __name__ == '__main__':
test.main()
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