83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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r"""Prints a header file to be used with SELECTIVE_REGISTRATION.
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An example of command-line usage is:
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bazel build tensorflow/python/tools:print_selective_registration_header && \
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bazel-bin/tensorflow/python/tools/print_selective_registration_header \
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--graphs=path/to/graph.pb > ops_to_register.h
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Then when compiling tensorflow, include ops_to_register.h in the include search
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path and pass -DSELECTIVE_REGISTRATION and -DSUPPORT_SELECTIVE_REGISTRATION
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- see core/framework/selective_registration.h for more details.
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When compiling for Android:
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bazel build -c opt --copt="-DSELECTIVE_REGISTRATION" \
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--copt="-DSUPPORT_SELECTIVE_REGISTRATION" \
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//tensorflow/tools/android/inference_interface:libtensorflow_inference.so \
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--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
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--crosstool_top=//external:android/crosstool --cpu=armeabi-v7a
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import argparse
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import sys
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from tensorflow.python.platform import app
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from tensorflow.python.tools import selective_registration_header_lib
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FLAGS = None
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def main(unused_argv):
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graphs = FLAGS.graphs.split(',')
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print(
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selective_registration_header_lib.get_header(graphs,
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FLAGS.proto_fileformat,
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FLAGS.default_ops))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.register('type', 'bool', lambda v: v.lower() == 'true')
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parser.add_argument(
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'--graphs',
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type=str,
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default='',
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help='Comma-separated list of paths to model files to be analyzed.',
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required=True)
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parser.add_argument(
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'--proto_fileformat',
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type=str,
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default='rawproto',
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help='Format of proto file, either textproto, rawproto or ops_list. The '
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'ops_list is the file contains the list of ops in JSON format. Ex: '
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'"[["Add", "BinaryOp<CPUDevice, functor::add<float>>"]]".')
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parser.add_argument(
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'--default_ops',
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type=str,
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default='NoOp:NoOp,_Recv:RecvOp,_Send:SendOp',
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help='Default operator:kernel pairs to always include implementation for.'
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'Pass "all" to have all operators and kernels included; note that this '
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'should be used only when it is useful compared with simply not using '
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'selective registration, as it can in some cases limit the effect of '
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'compilation caches')
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FLAGS, unparsed = parser.parse_known_args()
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app.run(main=main, argv=[sys.argv[0]] + unparsed)
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