

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        _SCREAMING_SNAKE_CASE			( self  :     Dict):
									SCREAMING_SNAKE_CASE_: List[Any]  		=       torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
									SCREAMING_SNAKE_CASE_: Dict  		=       get_activation("gelu")
									self.assertTrue(torch.allclose(gelu_python(lowerCAmelCase__)   ,						torch_builtin(lowerCAmelCase__)))
									self.assertFalse(torch.allclose(gelu_python(lowerCAmelCase__)   ,						gelu_new(lowerCAmelCase__)))



			def        _SCREAMING_SNAKE_CASE			( self  :     Any):
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
									SCREAMING_SNAKE_CASE_: Optional[int]  		=       get_activation("gelu")
									SCREAMING_SNAKE_CASE_: List[str]  		=       get_activation("gelu_10")

									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       torch_builtin(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: str  		=       geluaa(lowerCAmelCase__)

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

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



			def        _SCREAMING_SNAKE_CASE			( self  :     Tuple):
									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(lowerCAmelCase__):
															get_activation("bogus")
									with self.assertRaises(lowerCAmelCase__):
															get_activation(lowerCAmelCase__)




			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]):
									SCREAMING_SNAKE_CASE_: List[str]  		=       get_activation("gelu")
									SCREAMING_SNAKE_CASE_: Optional[int]  		=       1
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       get_activation("gelu")
									self.assertEqual(acta.a   ,						1)
									with self.assertRaises(lowerCAmelCase__):
															SCREAMING_SNAKE_CASE_: Optional[int]  		=       acta.a









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel






