49 lines
1.9 KiB
Python
Executable File
49 lines
1.9 KiB
Python
Executable File
#!/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()
|