





"""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 							lowercase__			(   unittest.TestCase	):

			"""simple docstring"""







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Optional[int]				   =			torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]    )
									UpperCamelCase				:		Optional[int]				   =			get_activation("""gelu"""    )
									self.assertTrue(torch.allclose(gelu_python(_A    )						,   torch_builtin(_A    )    )    )
									self.assertFalse(torch.allclose(gelu_python(_A    )						,   gelu_new(_A    )    )    )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Optional[int]				   =			torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]    )
									UpperCamelCase				:		int				   =			get_activation("""gelu"""    )
									UpperCamelCase				:		str				   =			get_activation("""gelu_10"""    )

									UpperCamelCase				:		int				   =			torch_builtin(_A    )
									UpperCamelCase				:		Any				   =			geluaa(_A    )

									UpperCamelCase				:		List[str]				   =			torch.where(y_gelu_aa < 10.0						,   1						,   0    )

									self.assertTrue(torch.max(_A    ).item() == 10.0    )
									self.assertTrue(torch.allclose(y_gelu * clipped_mask						,   y_gelu_aa * clipped_mask    )    )







			def   _a      (      self    ):






									'''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(_A    ):
															get_activation("""bogus"""    )
									with self.assertRaises(_A    ):
															get_activation(_A    )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Union[str, Any]				   =			get_activation("""gelu"""    )
									UpperCamelCase				:		Optional[Any]				   =			1
									UpperCamelCase				:		Union[str, Any]				   =			get_activation("""gelu"""    )
									self.assertEqual(acta.a						,   1    )
									with self.assertRaises(_A    ):
															UpperCamelCase				:		List[Any]				   =			acta.a





"""simple docstring"""





from typing import TYPE_CHECKING

from ..utils import _LazyModule


UpperCamelCase_       :    Dict						      =			{
    '''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_       :    List[Any]						      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




