
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


_UpperCAmelCase :			List[Any]              =	logging.get_logger(__name__)

_UpperCAmelCase :			Any              =	{
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}


class     lowercase (		lowerCAmelCase__       ):
  __lowercase	:	Union[str, Any]     					=    "table-transformer"
  __lowercase	:	Optional[Any]     					=    ["past_key_values"]
  __lowercase	:	str     					=    {
      "hidden_size": "d_model",
      "num_attention_heads": "encoder_attention_heads",
  }



  def __init__(			self    ,				A_=True    ,				A_=None    ,				A_=3    ,				A_=100    ,				A_=6    ,				A_=2_048    ,				A_=8    ,				A_=6    ,				A_=2_048    ,				A_=8    ,				A_=0.0    ,				A_=0.0    ,				A_=True    ,				A_="relu"    ,				A_=256    ,				A_=0.1    ,				A_=0.0    ,				A_=0.0    ,				A_=0.02    ,				A_=1.0    ,				A_=False    ,				A_="sine"    ,				A_="resnet50"    ,				A_=True    ,				A_=False    ,				A_=1    ,				A_=5    ,				A_=2    ,				A_=1    ,				A_=1    ,				A_=5    ,				A_=2    ,				A_=0.1    ,				**A_    ,				)  -> Tuple:
    """simple docstring"""
    if backbone_config is not None and use_timm_backbone:
      raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.'	)

    if not use_timm_backbone:
      if backbone_config is None:
        logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'	)
        UpperCamelCase          =					CONFIG_MAPPING['resnet'](out_features=['stage4']	)
      elif isinstance(a__    ,				a__	):
        UpperCamelCase          =					backbone_config.get('model_type'	)
        UpperCamelCase          =					CONFIG_MAPPING[backbone_model_type]
        UpperCamelCase          =					config_class.from_dict(a__	)
      # set timm attributes to None
      UpperCamelCase     ,  UpperCamelCase     ,  UpperCamelCase          =					None, None, None

    UpperCamelCase          =					use_timm_backbone
    UpperCamelCase          =					backbone_config
    UpperCamelCase          =					num_channels
    UpperCamelCase          =					num_queries
    UpperCamelCase          =					d_model
    UpperCamelCase          =					encoder_ffn_dim
    UpperCamelCase          =					encoder_layers
    UpperCamelCase          =					encoder_attention_heads
    UpperCamelCase          =					decoder_ffn_dim
    UpperCamelCase          =					decoder_layers
    UpperCamelCase          =					decoder_attention_heads
    UpperCamelCase          =					dropout
    UpperCamelCase          =					attention_dropout
    UpperCamelCase          =					activation_dropout
    UpperCamelCase          =					activation_function
    UpperCamelCase          =					init_std
    UpperCamelCase          =					init_xavier_std
    UpperCamelCase          =					encoder_layerdrop
    UpperCamelCase          =					decoder_layerdrop
    UpperCamelCase          =					encoder_layers
    UpperCamelCase          =					auxiliary_loss
    UpperCamelCase          =					position_embedding_type
    UpperCamelCase          =					backbone
    UpperCamelCase          =					use_pretrained_backbone
    UpperCamelCase          =					dilation
    # Hungarian matcher
    UpperCamelCase          =					class_cost
    UpperCamelCase          =					bbox_cost
    UpperCamelCase          =					giou_cost
    # Loss coefficients
    UpperCamelCase          =					mask_loss_coefficient
    UpperCamelCase          =					dice_loss_coefficient
    UpperCamelCase          =					bbox_loss_coefficient
    UpperCamelCase          =					giou_loss_coefficient
    UpperCamelCase          =					eos_coefficient
    super().__init__(is_encoder_decoder=a__    ,				**a__	)



  @property
  def __UpperCamelCase			(			self	)  -> Union[str, Any]:
    """simple docstring"""
    return self.encoder_attention_heads



  @property
  def __UpperCamelCase			(			self	)  -> Any:
    """simple docstring"""
    return self.d_model






class     lowercase (		lowerCAmelCase__       ):
  __lowercase	:	Tuple     					=    version.parse("1.11"       )



  @property
  def __UpperCamelCase			(			self	)  -> List[Any]:
    """simple docstring"""
    return OrderedDict(
        [
            ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
            ('pixel_mask', {0: 'batch'}),
        ]	)



  @property
  def __UpperCamelCase			(			self	)  -> List[str]:
    """simple docstring"""
    return 1e-5



  @property
  def __UpperCamelCase			(			self	)  -> Dict:
    """simple docstring"""
    return 12


import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation


class     lowercase (		unittest.TestCase       ):



		def __UpperCamelCase			(			self	)  -> List[Any]:
				"""simple docstring"""
				UpperCamelCase          =					get_activation('swish'	)

				self.assertIsInstance(A_    ,				nn.SiLU	)

				self.assertEqual(act(torch.tensor(-100    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertNotEqual(act(torch.tensor(-1    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(0    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(20    ,				dtype=torch.floataa	)	).item()    ,				20	)



		def __UpperCamelCase			(			self	)  -> Optional[int]:
				"""simple docstring"""
				UpperCamelCase          =					get_activation('silu'	)

				self.assertIsInstance(A_    ,				nn.SiLU	)

				self.assertEqual(act(torch.tensor(-100    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertNotEqual(act(torch.tensor(-1    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(0    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(20    ,				dtype=torch.floataa	)	).item()    ,				20	)



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				UpperCamelCase          =					get_activation('mish'	)

				self.assertIsInstance(A_    ,				nn.Mish	)

				self.assertEqual(act(torch.tensor(-200    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertNotEqual(act(torch.tensor(-1    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(0    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(20    ,				dtype=torch.floataa	)	).item()    ,				20	)



		def __UpperCamelCase			(			self	)  -> Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase          =					get_activation('gelu'	)

				self.assertIsInstance(A_    ,				nn.GELU	)

				self.assertEqual(act(torch.tensor(-100    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertNotEqual(act(torch.tensor(-1    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(0    ,				dtype=torch.floataa	)	).item()    ,				0	)
				self.assertEqual(act(torch.tensor(20    ,				dtype=torch.floataa	)	).item()    ,				20	)
