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d266613635
* Changed name to all no_... arguments and all references to them, inverting the boolean condition * Change benchmark tests to use new Benchmark Args * Update src/transformers/benchmark/benchmark_args_utils.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/benchmark/benchmark.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Fix Style. Add --no options in help * fix some part of tests * Update src/transformers/benchmark/benchmark_args_utils.py * Update src/transformers/benchmark/benchmark_args_utils.py * Update src/transformers/benchmark/benchmark_args_utils.py * fix all tests * make style * add backwards compability * make backwards compatible Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: fmcurti <fcurti@DESKTOP-RRQURBM.localdomain>
48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
# coding=utf-8
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# Copyright 2018 The HuggingFace Inc. team.
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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Benchmarking the library on inference and training in TensorFlow"""
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from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
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def main():
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parser = HfArgumentParser(TensorFlowBenchmarkArguments)
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benchmark_args = parser.parse_args_into_dataclasses()[0]
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benchmark = TensorFlowBenchmark(args=benchmark_args)
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try:
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benchmark_args = parser.parse_args_into_dataclasses()[0]
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except ValueError as e:
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arg_error_msg = "Arg --no_{0} is no longer used, please use --no-{0} instead."
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begin_error_msg = " ".join(str(e).split(" ")[:-1])
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full_error_msg = ""
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depreciated_args = eval(str(e).split(" ")[-1])
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wrong_args = []
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for arg in depreciated_args:
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# arg[2:] removes '--'
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if arg[2:] in TensorFlowBenchmark.deprecated_args:
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# arg[5:] removes '--no_'
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full_error_msg += arg_error_msg.format(arg[5:])
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else:
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wrong_args.append(arg)
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if len(wrong_args) > 0:
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full_error_msg = full_error_msg + begin_error_msg + str(wrong_args)
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raise ValueError(full_error_msg)
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benchmark.run()
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if __name__ == "__main__":
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main()
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