





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase       : Union[str, Any]			     =       {
    """configuration_clipseg""": [
        """CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """CLIPSegConfig""",
        """CLIPSegTextConfig""",
        """CLIPSegVisionConfig""",
    ],
    """processing_clipseg""": ["""CLIPSegProcessor"""],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _UpperCAmelCase       : Tuple			     =       [
        """CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """CLIPSegModel""",
        """CLIPSegPreTrainedModel""",
        """CLIPSegTextModel""",
        """CLIPSegVisionModel""",
        """CLIPSegForImageSegmentation""",
    ]

if TYPE_CHECKING:
    from .configuration_clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
    from .processing_clipseg import CLIPSegProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )

else:
    import sys

    _UpperCAmelCase       : Union[str, Any]			     =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)












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    ):
 def   A_			(   self						:   Tuple			)    ->			int:
     lowerCamelCase__					:   Optional[int]      				=	torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]			)
     lowerCamelCase__					:   Dict      				=	get_activation('gelu'			)
     self.assertTrue(torch.allclose(gelu_python(UpperCAmelCase			)    ,  torch_builtin(UpperCAmelCase			)			)			)
     self.assertFalse(torch.allclose(gelu_python(UpperCAmelCase			)    ,  gelu_new(UpperCAmelCase			)			)			)
 def   A_			(   self						:   Dict			)    ->			str:
     lowerCamelCase__					:   Optional[int]      				=	torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]			)
     lowerCamelCase__					:   str      				=	get_activation('gelu'			)
     lowerCamelCase__					:   Tuple      				=	get_activation('gelu_10'			)

     lowerCamelCase__					:   Tuple      				=	torch_builtin(UpperCAmelCase			)
     lowerCamelCase__					:   List[str]      				=	geluaa(UpperCAmelCase			)

     lowerCamelCase__					:   Tuple      				=	torch.where(y_gelu_aa < 1_0.0    ,  1    ,  0			)

     self.assertTrue(torch.max(UpperCAmelCase			).item() == 1_0.0			)
     self.assertTrue(torch.allclose(y_gelu * clipped_mask    ,  y_gelu_aa * clipped_mask			)			)
 def   A_			(   self						:   str			)    ->			List[str]:
     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(UpperCAmelCase			):
         get_activation('bogus'			)
     with self.assertRaises(UpperCAmelCase			):
         get_activation(UpperCAmelCase			)







 def   A_			(   self						:   Any			)    ->			Optional[Any]:
     lowerCamelCase__					:   Optional[Any]      				=	get_activation('gelu'			)
     lowerCamelCase__					:   Union[str, Any]      				=	1
     lowerCamelCase__					:   Optional[Any]      				=	get_activation('gelu'			)
     self.assertEqual(acta.a    ,  1			)
     with self.assertRaises(UpperCAmelCase			):
         lowerCamelCase__					:   str      				=	acta.a





