Intelegentny_Pszczelarz/.venv/Lib/site-packages/tensorflow/python/tools/print_selective_registration_header.py
2023-06-19 00:49:18 +02:00

79 lines
3.1 KiB
Python

# 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.
# ==============================================================================
r"""Prints a header file to be used with SELECTIVE_REGISTRATION.
An example of command-line usage is:
bazel build tensorflow/python/tools:print_selective_registration_header && \
bazel-bin/tensorflow/python/tools/print_selective_registration_header \
--graphs=path/to/graph.pb > ops_to_register.h
Then when compiling tensorflow, include ops_to_register.h in the include search
path and pass -DSELECTIVE_REGISTRATION and -DSUPPORT_SELECTIVE_REGISTRATION
- see core/framework/selective_registration.h for more details.
When compiling for Android:
bazel build -c opt --copt="-DSELECTIVE_REGISTRATION" \
--copt="-DSUPPORT_SELECTIVE_REGISTRATION" \
//tensorflow/tools/android/inference_interface:libtensorflow_inference.so \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--crosstool_top=//external:android/crosstool --cpu=armeabi-v7a
"""
import argparse
import sys
from absl import app
from tensorflow.python.tools import selective_registration_header_lib
FLAGS = None
def main(unused_argv):
graphs = FLAGS.graphs.split(',')
print(
selective_registration_header_lib.get_header(graphs,
FLAGS.proto_fileformat,
FLAGS.default_ops))
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.register('type', 'bool', lambda v: v.lower() == 'true')
parser.add_argument(
'--graphs',
type=str,
default='',
help='Comma-separated list of paths to model files to be analyzed.',
required=True)
parser.add_argument(
'--proto_fileformat',
type=str,
default='rawproto',
help='Format of proto file, either textproto, rawproto or ops_list. The '
'ops_list is the file contains the list of ops in JSON format. Ex: '
'"[["Add", "BinaryOp<CPUDevice, functor::add<float>>"]]".')
parser.add_argument(
'--default_ops',
type=str,
default='NoOp:NoOp,_Recv:RecvOp,_Send:SendOp',
help='Default operator:kernel pairs to always include implementation for.'
'Pass "all" to have all operators and kernels included; note that this '
'should be used only when it is useful compared with simply not using '
'selective registration, as it can in some cases limit the effect of '
'compilation caches')
FLAGS, unparsed = parser.parse_known_args()
app.run(main=main, argv=[sys.argv[0]] + unparsed)