wehub-resource-sync
114 lines
3.8 KiB
C++
114 lines
3.8 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.
|
|
==============================================================================*/
|
|
#ifndef TENSORFLOW_LITE_TESTING_KERNEL_TEST_UTIL_H_
|
|
#define TENSORFLOW_LITE_TESTING_KERNEL_TEST_UTIL_H_
|
|
|
|
#include <fstream>
|
|
|
|
#include "tensorflow/core/util/command_line_flags.h"
|
|
#include "tensorflow/lite/core/c/common.h"
|
|
#include "tensorflow/lite/testing/kernel_test/input_generator.h"
|
|
#include "tensorflow/lite/testing/split.h"
|
|
#include "tensorflow/lite/testing/tflite_driver.h"
|
|
|
|
namespace tflite {
|
|
namespace testing {
|
|
namespace kernel_test {
|
|
|
|
struct TestOptions {
|
|
// Path of tensorflow lite model.
|
|
string tflite_model;
|
|
// Path of the input file. If empty, generate at runtime.
|
|
string read_input_from_file;
|
|
// Path to dump the input file.
|
|
string dump_input_to_file;
|
|
// Path to dump the output.
|
|
string dump_output_to_file;
|
|
// Input distribution.
|
|
string input_distribution;
|
|
// Kernel type.
|
|
string kernel_type;
|
|
};
|
|
|
|
inline TestOptions ParseTfliteKernelTestFlags(int* argc, char** argv) {
|
|
TestOptions options;
|
|
std::vector<tensorflow::Flag> flags = {
|
|
tensorflow::Flag("tflite_model", &options.tflite_model,
|
|
"Path of tensorflow lite model."),
|
|
tensorflow::Flag("read_input_from_file", &options.read_input_from_file,
|
|
"File to read input data from. If empty, generates "
|
|
"input at runtime."),
|
|
tensorflow::Flag("dump_input_to_file", &options.dump_input_to_file,
|
|
"File to dump randomly generated input."),
|
|
tensorflow::Flag("dump_output_to_file", &options.dump_output_to_file,
|
|
"File to dump output."),
|
|
tensorflow::Flag("input_distribution", &options.input_distribution,
|
|
"Input distribution. Default: Gaussian."),
|
|
tensorflow::Flag("kernel_type", &options.kernel_type, "Kernel type."),
|
|
};
|
|
|
|
tensorflow::Flags::Parse(argc, argv, flags);
|
|
|
|
return options;
|
|
}
|
|
|
|
inline TfLiteStatus RunKernelTest(const kernel_test::TestOptions& options,
|
|
TestRunner* runner) {
|
|
InputGenerator input_generator;
|
|
|
|
if (options.read_input_from_file.empty()) {
|
|
TF_LITE_ENSURE_STATUS(input_generator.LoadModel(options.tflite_model));
|
|
TF_LITE_ENSURE_STATUS(
|
|
input_generator.GenerateInput(options.input_distribution));
|
|
} else {
|
|
TF_LITE_ENSURE_STATUS(
|
|
input_generator.ReadInputsFromFile(options.read_input_from_file));
|
|
}
|
|
|
|
runner->LoadModel(options.tflite_model);
|
|
runner->AllocateTensors();
|
|
if (!runner->IsValid()) return kTfLiteError;
|
|
auto inputs = input_generator.GetInputs();
|
|
|
|
runner->Invoke(inputs);
|
|
|
|
if (!options.dump_input_to_file.empty()) {
|
|
TF_LITE_ENSURE_STATUS(
|
|
input_generator.WriteInputsToFile(options.dump_input_to_file));
|
|
}
|
|
|
|
if (!options.dump_output_to_file.empty()) {
|
|
std::ofstream output_file;
|
|
output_file.open(options.dump_output_to_file,
|
|
std::fstream::out | std::fstream::trunc);
|
|
if (!output_file) {
|
|
return kTfLiteError;
|
|
}
|
|
|
|
for (const auto& name : runner->GetOutputNames()) {
|
|
output_file << name << ":" << runner->ReadOutput(name) << "\n";
|
|
}
|
|
output_file.close();
|
|
}
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
} // namespace kernel_test
|
|
} // namespace testing
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_TESTING_KERNEL_TEST_UTIL_H_
|