
"""simple docstring"""




from typing import Mapping

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


lowerCAmelCase__							=				logging.get_logger(__name__)

lowerCAmelCase__							=				{
    '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  snake_case     (							__lowercase   ):
							UpperCAmelCase__						     =      '''t5'''
							UpperCAmelCase__						     =      ['''past_key_values''']
							UpperCAmelCase__						     =      {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}

							def __init__(self       ,       SCREAMING_SNAKE_CASE_=3_21_28       ,       SCREAMING_SNAKE_CASE_=5_12       ,       SCREAMING_SNAKE_CASE_=64       ,       SCREAMING_SNAKE_CASE_=20_48       ,       SCREAMING_SNAKE_CASE_=6       ,       SCREAMING_SNAKE_CASE_=None       ,       SCREAMING_SNAKE_CASE_=8       ,       SCREAMING_SNAKE_CASE_=32       ,       SCREAMING_SNAKE_CASE_=1_28       ,       SCREAMING_SNAKE_CASE_=0.1       ,       SCREAMING_SNAKE_CASE_=1e-6       ,       SCREAMING_SNAKE_CASE_=1.0       ,       SCREAMING_SNAKE_CASE_="relu"       ,       SCREAMING_SNAKE_CASE_=True       ,       SCREAMING_SNAKE_CASE_=True       ,       SCREAMING_SNAKE_CASE_=0       ,       SCREAMING_SNAKE_CASE_=1       ,       **SCREAMING_SNAKE_CASE_       ,       ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = vocab_size
									SCREAMING_SNAKE_CASE_						 = d_model
									SCREAMING_SNAKE_CASE_						 = d_kv
									SCREAMING_SNAKE_CASE_						 = d_ff
									SCREAMING_SNAKE_CASE_						 = num_layers
									SCREAMING_SNAKE_CASE_						 = (
									    num_decoder_layers if num_decoder_layers is not None else self.num_layers
									)  # default = symmetry
									SCREAMING_SNAKE_CASE_						 = num_heads
									SCREAMING_SNAKE_CASE_						 = relative_attention_num_buckets
									SCREAMING_SNAKE_CASE_						 = relative_attention_max_distance
									SCREAMING_SNAKE_CASE_						 = dropout_rate
									SCREAMING_SNAKE_CASE_						 = layer_norm_epsilon
									SCREAMING_SNAKE_CASE_						 = initializer_factor
									SCREAMING_SNAKE_CASE_						 = feed_forward_proj
									SCREAMING_SNAKE_CASE_						 = use_cache

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

									if len(SCREAMING_SNAKE_CASE_    ) > 1 and act_info[0] != "gated" or len(SCREAMING_SNAKE_CASE_    ) > 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":
											SCREAMING_SNAKE_CASE_						 = '''gelu_new'''

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







class  snake_case     (							__lowercase   ):

							@property
							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = {
									    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
									    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
									}
									if self.use_past:
											SCREAMING_SNAKE_CASE_						 = '''past_encoder_sequence + sequence'''
											SCREAMING_SNAKE_CASE_						 = {0: '''batch'''}
											SCREAMING_SNAKE_CASE_						 = {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
									else:
											SCREAMING_SNAKE_CASE_						 = {0: '''batch''', 1: '''decoder_sequence'''}
											SCREAMING_SNAKE_CASE_						 = {0: '''batch''', 1: '''decoder_sequence'''}

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

									return common_inputs







							@property
							def _lowercase					(self    ):

									"""simple docstring"""







									return 13

"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__							=				logging.get_logger(__name__)

lowerCAmelCase__							=				{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}





class  snake_case     (							__lowercase   ):
							UpperCAmelCase__						     =      '''glpn'''

							def __init__(self       ,       SCREAMING_SNAKE_CASE_=3       ,       SCREAMING_SNAKE_CASE_=4       ,       SCREAMING_SNAKE_CASE_=[2, 2, 2, 2]       ,       SCREAMING_SNAKE_CASE_=[8, 4, 2, 1]       ,       SCREAMING_SNAKE_CASE_=[32, 64, 1_60, 2_56]       ,       SCREAMING_SNAKE_CASE_=[7, 3, 3, 3]       ,       SCREAMING_SNAKE_CASE_=[4, 2, 2, 2]       ,       SCREAMING_SNAKE_CASE_=[1, 2, 5, 8]       ,       SCREAMING_SNAKE_CASE_=[4, 4, 4, 4]       ,       SCREAMING_SNAKE_CASE_="gelu"       ,       SCREAMING_SNAKE_CASE_=0.0       ,       SCREAMING_SNAKE_CASE_=0.0       ,       SCREAMING_SNAKE_CASE_=0.02       ,       SCREAMING_SNAKE_CASE_=0.1       ,       SCREAMING_SNAKE_CASE_=1e-6       ,       SCREAMING_SNAKE_CASE_=64       ,       SCREAMING_SNAKE_CASE_=10       ,       SCREAMING_SNAKE_CASE_=-1       ,       **SCREAMING_SNAKE_CASE_       ,       ):

									"""simple docstring"""







									super().__init__(**SCREAMING_SNAKE_CASE_    )

									SCREAMING_SNAKE_CASE_						 = num_channels
									SCREAMING_SNAKE_CASE_						 = num_encoder_blocks
									SCREAMING_SNAKE_CASE_						 = depths
									SCREAMING_SNAKE_CASE_						 = sr_ratios
									SCREAMING_SNAKE_CASE_						 = hidden_sizes
									SCREAMING_SNAKE_CASE_						 = patch_sizes
									SCREAMING_SNAKE_CASE_						 = strides
									SCREAMING_SNAKE_CASE_						 = mlp_ratios
									SCREAMING_SNAKE_CASE_						 = num_attention_heads
									SCREAMING_SNAKE_CASE_						 = hidden_act
									SCREAMING_SNAKE_CASE_						 = hidden_dropout_prob
									SCREAMING_SNAKE_CASE_						 = attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE_						 = initializer_range
									SCREAMING_SNAKE_CASE_						 = drop_path_rate
									SCREAMING_SNAKE_CASE_						 = layer_norm_eps
									SCREAMING_SNAKE_CASE_						 = decoder_hidden_size
									SCREAMING_SNAKE_CASE_						 = max_depth
									SCREAMING_SNAKE_CASE_						 = head_in_index