STT-tensorflow/tensorflow/python/grappler/model_analyzer_wrapper.cc
A. Unique TensorFlower ccf99981e7 Updated code to be compatible with passing string_view
PiperOrigin-RevId: 327649100
Change-Id: Ie3cba0acb7dac35d2df9cbd5a211f84c5922f9c7
2020-08-20 10:28:22 -07:00

55 lines
2.1 KiB
C++

/* Copyright 2019 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.
==============================================================================*/
#include <memory>
#include <sstream>
#include "pybind11/pybind11.h"
#include "tensorflow/core/grappler/grappler_item_builder.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/python/grappler/model_analyzer.h"
#include "tensorflow/python/lib/core/pybind11_status.h"
namespace py = pybind11;
PYBIND11_MODULE(_pywrap_model_analyzer, m) {
m.def("GenerateModelReport",
[](const py::bytes& serialized_metagraph, bool assume_valid_feeds,
bool debug) -> py::bytes {
tensorflow::MetaGraphDef metagraph;
if (!metagraph.ParseFromString(std::string(serialized_metagraph))) {
return "The MetaGraphDef could not be parsed as a valid protocol "
"buffer";
}
tensorflow::grappler::ItemConfig cfg;
cfg.apply_optimizations = false;
std::unique_ptr<tensorflow::grappler::GrapplerItem> item =
tensorflow::grappler::GrapplerItemFromMetaGraphDef(
"metagraph", metagraph, cfg);
if (item == nullptr) {
return "Error: failed to preprocess metagraph: check your log file "
"for errors";
}
tensorflow::grappler::ModelAnalyzer analyzer(*item);
std::ostringstream os;
tensorflow::MaybeRaiseFromStatus(
analyzer.GenerateReport(debug, assume_valid_feeds, os));
return py::bytes(os.str());
});
}