





"""simple docstring"""
import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
  import optax
  from flax.training.common_utils import onehot

  from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
  from transformers.models.ta.modeling_flax_ta import shift_tokens_right






@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 					_SCREAMING_SNAKE_CASE(   unittest.TestCase  ):




       @slow
       def     _UpperCamelCase     (						self							)			->      Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Any						=  FlaxMTaForConditionalGeneration.from_pretrained('''google/mt5-small'''							)
             __SCREAMING_SNAKE_CASE   :Dict						=  AutoTokenizer.from_pretrained('''google/mt5-small'''							)

             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  tokenizer('''Hello there'''		,return_tensors='''np'''							).input_ids
             __SCREAMING_SNAKE_CASE   :List[Any]						=  tokenizer('''Hi I am'''		,return_tensors='''np'''							).input_ids

             __SCREAMING_SNAKE_CASE   :Any						=  shift_tokens_right(SCREAMING_SNAKE_CASE__		,model.config.pad_token_id		,model.config.decoder_start_token_id							)

             __SCREAMING_SNAKE_CASE   :Tuple						=  model(SCREAMING_SNAKE_CASE__		,decoder_input_ids=SCREAMING_SNAKE_CASE__							).logits
             __SCREAMING_SNAKE_CASE   :Dict						=  optax.softmax_cross_entropy(SCREAMING_SNAKE_CASE__		,onehot(SCREAMING_SNAKE_CASE__		,logits.shape[-1]							)							).mean()

             __SCREAMING_SNAKE_CASE   :List[str]						=  -(labels.shape[-1] * loss.item())

             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  -8_4.9_1_2_7
             self.assertTrue(abs(mtf_score - EXPECTED_SCORE							) < 1E-4							)






"""simple docstring"""
# Copyright 2021 The HuggingFace Team. 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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser



def      __lowerCamelCase   (							)			->      Any:
      __SCREAMING_SNAKE_CASE   :Tuple						=  ArgumentParser('''Accelerate CLI tool''' ,   usage='''accelerate <command> [<args>]''' ,   allow_abbrev=a_							)
      __SCREAMING_SNAKE_CASE   :str						=  parser.add_subparsers(help='''accelerate command helpers'''							)

      # Register commands
      get_config_parser(subparsers=a_							)
      env_command_parser(subparsers=a_							)
      launch_command_parser(subparsers=a_							)
      tpu_command_parser(subparsers=a_							)
      test_command_parser(subparsers=a_							)

      # Let's go
      __SCREAMING_SNAKE_CASE   :int						=  parser.parse_args()

      if not hasattr(a_ ,   '''func'''							):
            parser.print_help()
            exit(1							)

      # Run
      args.func(a_							)


if __name__ == "__main__":
  main()