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| #!/usr/bin/env python | |
| # coding=utf-8 | |
| # Copyright 2018 The HuggingFace Inc. team. | |
| # Copyright (c) 2020, NVIDIA CORPORATION. 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. | |
| """ Benchmarking the library on inference and training in TensorFlow""" | |
| from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments | |
| def main(): | |
| parser = HfArgumentParser(TensorFlowBenchmarkArguments) | |
| benchmark_args = parser.parse_args_into_dataclasses()[0] | |
| benchmark = TensorFlowBenchmark(args=benchmark_args) | |
| try: | |
| benchmark_args = parser.parse_args_into_dataclasses()[0] | |
| except ValueError as e: | |
| arg_error_msg = "Arg --no_{0} is no longer used, please use --no-{0} instead." | |
| begin_error_msg = " ".join(str(e).split(" ")[:-1]) | |
| full_error_msg = "" | |
| depreciated_args = eval(str(e).split(" ")[-1]) | |
| wrong_args = [] | |
| for arg in depreciated_args: | |
| # arg[2:] removes '--' | |
| if arg[2:] in TensorFlowBenchmark.deprecated_args: | |
| # arg[5:] removes '--no_' | |
| full_error_msg += arg_error_msg.format(arg[5:]) | |
| else: | |
| wrong_args.append(arg) | |
| if len(wrong_args) > 0: | |
| full_error_msg = full_error_msg + begin_error_msg + str(wrong_args) | |
| raise ValueError(full_error_msg) | |
| benchmark.run() | |
| if __name__ == "__main__": | |
| main() | |