[Benchmark] Memory benchmark utils (#4198)

* improve memory benchmarking

* correct typo

* fix current memory

* check torch memory allocated

* better pytorch function

* add total cached gpu memory

* add total gpu required

* improve torch gpu usage

* update memory usage

* finalize memory tracing

* save intermediate benchmark class

* fix conflict

* improve benchmark

* improve benchmark

* finalize

* make style

* improve benchmarking

* correct typo

* make train function more flexible

* fix csv save

* better repr of bytes

* better print

* fix __repr__ bug

* finish plot script

* rename plot file

* delete csv and small improvements

* fix in plot

* fix in plot

* correct usage of timeit

* remove redundant line

* remove redundant line

* fix bug

* add hf parser tests

* add versioning and platform info

* make style

* add gpu information

* ensure backward compatibility

* finish adding all tests

* Update src/transformers/benchmark/benchmark_args.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/benchmark/benchmark_args_utils.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* delete csv files

* fix isort ordering

* add out of memory handling

* add better train memory handling

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

examples/benchmarking/run_benchmark.py

@@ -0,0 +1,29 @@
+# coding=utf-8
+# Copyright 2018 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)
+    benchmark_args = parser.parse_args_into_dataclasses()[0]
+    benchmark = PyTorchBenchmark(args=benchmark_args)
+    benchmark.run()
+
+
+if __name__ == "__main__":
+    main()