init

transformers/examples/legacy/benchmarking/run_benchmark.py

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+#!/usr/bin/env python
+# Copyright 2020 The HuggingFace Inc. team.
+# Copyright (c) 2018, 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"""
+
+from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
+
+
+def main():
+    parser = HfArgumentParser(PyTorchBenchmarkArguments)
+    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 PyTorchBenchmarkArguments.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 = PyTorchBenchmark(args=benchmark_args)
+    benchmark.run()
+
+
+if __name__ == "__main__":
+    main()