# 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.
|
# ==============================================================================
|
r"""Replaces a subgraph of a TensorFlow GraphDef with a single node.
|
|
In conjunction with TOCO's --allow_custom_op this script allows selected
|
portions of a TensorFlow GraphDef to be executed by custom code.
|
|
Example:
|
|
bazel run tensorflow/lite/python:create_custom_op -- \
|
--input_graph=/tmp/input.pb \
|
--output_graph=/tmp/output.pb \
|
--inputs=concat,concat_1 \
|
--outputs=detection_classes \
|
--op_definition='op:"PostProcessing" attr{key:"num" value:{i:10}}'
|
|
The above will identify a subgraph starting at nodes 'concat' and 'concat_1',
|
and ending at 'detection_classes'. All nodes in between will be removed and
|
replaced by a new op called 'PostProcessing'.
|
|
"""
|
from __future__ import absolute_import
|
from __future__ import division
|
from __future__ import print_function
|
import uuid as _uuid
|
from absl import app
|
from absl import flags
|
from google.protobuf import text_format
|
from tensorflow.contrib.framework.python.framework.graph_util import fuse_op
|
from tensorflow.core.framework import graph_pb2
|
from tensorflow.core.framework import node_def_pb2
|
from tensorflow.core.framework import types_pb2
|
from tensorflow.python.platform import gfile
|
|
FLAGS = flags.FLAGS
|
|
flags.DEFINE_string("input_graph", "", "Binary graphdef to load.")
|
flags.DEFINE_string("output_graph", "", "Resulting binary graphdef.")
|
|
flags.DEFINE_string("inputs", "",
|
"Comma-separated list of inputs to the subgraph.")
|
flags.DEFINE_string("outputs", "",
|
"Comma-separated list of outputs of the subgraph.")
|
flags.DEFINE_string("op_definition", "",
|
"A text NodeDef defining the contents of the custom op.")
|
|
|
def _read_graph_def(filename):
|
if not gfile.Exists(filename):
|
raise ValueError("Input graph file '" + filename + "' does not exist!")
|
|
graph_def = graph_pb2.GraphDef()
|
with gfile.GFile(filename, "rb") as f:
|
graph_def.ParseFromString(f.read())
|
return graph_def
|
|
|
def _write_graph_def(graph_def, filename):
|
if not filename:
|
raise ValueError("Output graph file not specified")
|
|
with gfile.Open(filename, "wb") as f:
|
f.write(graph_def.SerializeToString())
|
|
|
def _collapse_subgraph(graph_def, inputs, outputs, op_definition):
|
"""Substitute a custom op for the subgraph delimited by inputs and outputs."""
|
name = _uuid.uuid1().hex
|
# We need a default type, but it can be changed using 'op_definition'.
|
default_type = types_pb2.DT_FLOAT
|
new_graph = fuse_op(
|
graph_def=graph_def,
|
input_nodes=inputs,
|
output_nodes=outputs,
|
output_dtypes=[default_type for _ in outputs],
|
output_quantized=False,
|
op_name=name,
|
op_type="CustomTfLiteOp")
|
node_def = node_def_pb2.NodeDef()
|
text_format.Parse(op_definition, node_def)
|
for node in new_graph.node:
|
if node.name == name:
|
node.MergeFrom(node_def)
|
return new_graph
|
|
|
def main(argv):
|
del argv # unused
|
graph = _read_graph_def(filename=flags.FLAGS.input_graph)
|
graph = _collapse_subgraph(
|
graph_def=graph,
|
inputs=flags.FLAGS.inputs.split(","),
|
outputs=flags.FLAGS.outputs.split(","),
|
op_definition=flags.FLAGS.op_definition)
|
_write_graph_def(graph_def=graph, filename=flags.FLAGS.output_graph)
|
|
|
if __name__ == "__main__":
|
app.run(main)
|
