


from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {
    """t5-small""": """https://huggingface.co/t5-small/resolve/main/config.json""",
    """t5-base""": """https://huggingface.co/t5-base/resolve/main/config.json""",
    """t5-large""": """https://huggingface.co/t5-large/resolve/main/config.json""",
    """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/config.json""",
    """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/config.json""",
}







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 __snake_case												=  "t5"
 __snake_case												=  ["past_key_values"]
 __snake_case												=  {"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}



 def __init__(     self		,				_UpperCAmelCase=3_21_28		,				_UpperCAmelCase=5_12		,				_UpperCAmelCase=64		,				_UpperCAmelCase=20_48		,				_UpperCAmelCase=6		,				_UpperCAmelCase=None		,				_UpperCAmelCase=8		,				_UpperCAmelCase=32		,				_UpperCAmelCase=1_28		,				_UpperCAmelCase=0.1		,				_UpperCAmelCase=1E-6		,				_UpperCAmelCase=1.0		,				_UpperCAmelCase="relu"		,				_UpperCAmelCase=True		,				_UpperCAmelCase=True		,				_UpperCAmelCase=0		,				_UpperCAmelCase=1		,				**_UpperCAmelCase		,				):
       snake_case_	=				vocab_size
       snake_case_	=				d_model
       snake_case_	=				d_kv
       snake_case_	=				d_ff
       snake_case_	=				num_layers
       snake_case_	=				(
           num_decoder_layers if num_decoder_layers is not None else self.num_layers
       )  # default = symmetry
       snake_case_	=				num_heads
       snake_case_	=				relative_attention_num_buckets
       snake_case_	=				relative_attention_max_distance
       snake_case_	=				dropout_rate
       snake_case_	=				layer_norm_epsilon
       snake_case_	=				initializer_factor
       snake_case_	=				feed_forward_proj
       snake_case_	=				use_cache

       snake_case_	=				self.feed_forward_proj.split('''-''' )
       snake_case_	=				act_info[-1]
       snake_case_	=				act_info[0] == '''gated'''

       if len(_UpperCAmelCase ) > 1 and act_info[0] != "gated" or len(_UpperCAmelCase ) > 2:
             raise ValueError(
                 F'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
                 '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
                 '''\'gated-gelu\' or \'relu\'''' )

       # for backwards compatibility
       if feed_forward_proj == "gated-gelu":
             snake_case_	=				'''gelu_new'''

       super().__init__(
           pad_token_id=_UpperCAmelCase		,				eos_token_id=_UpperCAmelCase		,				is_encoder_decoder=_UpperCAmelCase		,				**_UpperCAmelCase		,				)







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 @property
 def 						UpperCamelCase__					(     self ):
       snake_case_	=				{
           '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
           '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
       }
       if self.use_past:
             snake_case_	=				'''past_encoder_sequence + sequence'''
             snake_case_	=				{0: '''batch'''}
             snake_case_	=				{0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
       else:
             snake_case_	=				{0: '''batch''', 1: '''decoder_sequence'''}
             snake_case_	=				{0: '''batch''', 1: '''decoder_sequence'''}

       if self.use_past:
             self.fill_with_past_key_values_(_UpperCAmelCase		,				direction='''inputs''' )

       return common_inputs





 @property
 def 						UpperCamelCase__					(     self ):
       return 13



import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)







class lowerCAmelCase_						(			unittest.TestCase	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       snake_case_	=				['''a''', '''b''', '''c''']

       # Defaults to last layer if both are None
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[2] )

       # Out indices set to match out features
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(['''a''', '''c''']		,				_UpperCAmelCase		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[0, 2] )

       # Out features set to match out indices
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				[0, 2]		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[0, 2] )

       # Out features selected from negative indices
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				[-3, -1]		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[-3, -1] )



 def 						UpperCamelCase__					(     self ):
       # Stage names must be set
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 1)		,				_UpperCAmelCase )

       # Out features must be a list
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(('''a''', '''b''')		,				(0, 1)		,				['''a''', '''b'''] )

       # Out features must be a subset of stage names
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 1)		,				['''a'''] )

       # Out indices must be a list or tuple
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(_UpperCAmelCase		,				0		,				['''a''', '''b'''] )

       # Out indices must be a subset of stage names
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(_UpperCAmelCase		,				(0, 1)		,				['''a'''] )

       # Out features and out indices must be the same length
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0,)		,				['''a''', '''b''', '''c'''] )

       # Out features should match out indices
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 2)		,				['''a''', '''b''', '''c'''] )

       # Out features and out indices should be in order
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''b''', '''a''']		,				(0, 1)		,				['''a''', '''b'''] )

       # Check passes with valid inputs
       verify_out_features_out_indices(['''a''', '''b''', '''d''']		,				(0, 1, -1)		,				['''a''', '''b''', '''c''', '''d'''] )





 def 						UpperCamelCase__					(     self ):
       snake_case_	=				BackboneMixin()

       snake_case_	=				['''a''', '''b''', '''c''']
       snake_case_	=				['''a''', '''c''']
       snake_case_	=				[0, 2]

       # Check that the output features and indices are set correctly
       self.assertEqual(backbone.out_features		,				['''a''', '''c'''] )
       self.assertEqual(backbone.out_indices		,				[0, 2] )

       # Check out features and indices are updated correctly
       snake_case_	=				['''a''', '''b''']
       self.assertEqual(backbone.out_features		,				['''a''', '''b'''] )
       self.assertEqual(backbone.out_indices		,				[0, 1] )

       snake_case_	=				[-3, -1]
       self.assertEqual(backbone.out_features		,				['''a''', '''c'''] )
       self.assertEqual(backbone.out_indices		,				[-3, -1] )