






"""simple docstring"""






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
  import torch

  from transformers.activations import gelu_new, gelu_python, get_activation




@require_torch
class 							lowerCAmelCase__				(			unittest.TestCase ):






      '''simple docstring'''

      def _SCREAMING_SNAKE_CASE (						self     :  Any):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		get_activation('''gelu''')
          self.assertTrue(torch.allclose(gelu_python(lowercase_)						,	torch_builtin(lowercase_)))
          self.assertFalse(torch.allclose(gelu_python(lowercase_)						,	gelu_new(lowercase_)))
      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Tuple    						=		torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		get_activation('''gelu''')
          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		get_activation('''gelu_10''')

          SCREAMING_SNAKE_CASE_      :  str    						=		torch_builtin(lowercase_)
          SCREAMING_SNAKE_CASE_      :  int    						=		geluaa(lowercase_)

          SCREAMING_SNAKE_CASE_      :  Tuple    						=		torch.where(y_gelu_aa < 10.0						,	1						,	0)

          self.assertTrue(torch.max(lowercase_).item() == 10.0)
          self.assertTrue(torch.allclose(y_gelu * clipped_mask						,	y_gelu_aa * clipped_mask))
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          get_activation('''gelu''')
          get_activation('''gelu_10''')
          get_activation('''gelu_fast''')
          get_activation('''gelu_new''')
          get_activation('''gelu_python''')
          get_activation('''gelu_pytorch_tanh''')
          get_activation('''linear''')
          get_activation('''mish''')
          get_activation('''quick_gelu''')
          get_activation('''relu''')
          get_activation('''sigmoid''')
          get_activation('''silu''')
          get_activation('''swish''')
          get_activation('''tanh''')
          with self.assertRaises(lowercase_):
              get_activation('''bogus''')
          with self.assertRaises(lowercase_):
              get_activation(lowercase_)



      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  int    						=		get_activation('''gelu''')
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		1
          SCREAMING_SNAKE_CASE_      :  Dict    						=		get_activation('''gelu''')
          self.assertEqual(acta.a						,	1)
          with self.assertRaises(lowercase_):
              SCREAMING_SNAKE_CASE_      :  Any    						=		acta.a






from typing import TYPE_CHECKING

from ..utils import _LazyModule


UpperCAmelCase__   	=							{
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
  from .config import (
      EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
      OnnxConfig,
      OnnxConfigWithPast,
      OnnxSeqaSeqConfigWithPast,
      PatchingSpec,
  )
  from .convert import export, validate_model_outputs
  from .features import FeaturesManager
  from .utils import ParameterFormat, compute_serialized_parameters_size

else:
  import sys

  UpperCAmelCase__   	=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

