




'''simple docstring'''


import warnings
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


_snake_case : int  				=						logging.get_logger(__name__)

_snake_case : Any  				=						{
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}

class      A       (						_a       ):
							lowercase_							     =							'segformer'







							def __init__(    self			:    Dict				,     lowerCAmelCase_			:    Any=3				,     lowerCAmelCase_			:    List[str]=4				,     lowerCAmelCase_			:    List[Any]=[2, 2, 2, 2]				,     lowerCAmelCase_			:    Any=[8, 4, 2, 1]				,     lowerCAmelCase_			:    Optional[int]=[32, 64, 1_60, 2_56]				,     lowerCAmelCase_			:    Union[str, Any]=[7, 3, 3, 3]				,     lowerCAmelCase_			:    Union[str, Any]=[4, 2, 2, 2]				,     lowerCAmelCase_			:    Dict=[1, 2, 5, 8]				,     lowerCAmelCase_			:    Optional[int]=[4, 4, 4, 4]				,     lowerCAmelCase_			:    Tuple="gelu"				,     lowerCAmelCase_			:    List[Any]=0.0				,     lowerCAmelCase_			:    List[str]=0.0				,     lowerCAmelCase_			:    int=0.1				,     lowerCAmelCase_			:    Optional[int]=0.0_2				,     lowerCAmelCase_			:    Tuple=0.1				,     lowerCAmelCase_			:    Union[str, Any]=1e-6				,     lowerCAmelCase_			:    Union[str, Any]=2_56				,     lowerCAmelCase_			:    List[Any]=2_55				,     **lowerCAmelCase_			:    List[str]				,     )     ->				int:


														"""simple docstring"""


														super().__init__(**lowerCAmelCase_   )

														if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
																					warnings.warn(
																					    '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
																					    ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''				,     lowerCAmelCase_				,     )

														_a      	=							num_channels
														_a      	=							num_encoder_blocks
														_a      	=							depths
														_a      	=							sr_ratios
														_a      	=							hidden_sizes
														_a      	=							patch_sizes
														_a      	=							strides
														_a      	=							mlp_ratios
														_a      	=							num_attention_heads
														_a      	=							hidden_act
														_a      	=							hidden_dropout_prob
														_a      	=							attention_probs_dropout_prob
														_a      	=							classifier_dropout_prob
														_a      	=							initializer_range
														_a      	=							drop_path_rate
														_a      	=							layer_norm_eps
														_a      	=							decoder_hidden_size
														_a      	=							kwargs.get('''reshape_last_stage'''				,     lowerCAmelCase_   )
														_a      	=							semantic_loss_ignore_index



class      A       (						_a       ):
							lowercase_							     =							version.parse('1.11'       )







							@property
							def   __lowerCAmelCase     (    self			:    List[str]   )     ->				Mapping[str, Mapping[int, str]]:


														"""simple docstring"""


														return OrderedDict(
														    [
														        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
														    ]   )







							@property
							def   __lowerCAmelCase     (    self			:    List[Any]   )     ->				float:


														"""simple docstring"""


														return 1e-4







							@property
							def   __lowerCAmelCase     (    self			:    List[str]   )     ->				int:


														"""simple docstring"""


														return 12







'''simple docstring'''


import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
				import optax
				from flax.training.common_utils import onehot

				from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
				from transformers.models.ta.modeling_flax_ta import shift_tokens_right

@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class      A       (						unittest.TestCase       ):







							@slow
							def   __lowerCAmelCase     (    self			:    List[Any]   )     ->				Union[str, Any]:


														"""simple docstring"""


														_a      	=							FlaxMTaForConditionalGeneration.from_pretrained('''google/mt5-small'''   )
														_a      	=							AutoTokenizer.from_pretrained('''google/mt5-small'''   )

														_a      	=							tokenizer('''Hello there'''				,     return_tensors='''np'''   ).input_ids
														_a      	=							tokenizer('''Hi I am'''				,     return_tensors='''np'''   ).input_ids

														_a      	=							shift_tokens_right(lowerCAmelCase_				,     model.config.pad_token_id				,     model.config.decoder_start_token_id   )

														_a      	=							model(lowerCAmelCase_				,     decoder_input_ids=lowerCAmelCase_   ).logits
														_a      	=							optax.softmax_cross_entropy(lowerCAmelCase_				,     onehot(lowerCAmelCase_				,     logits.shape[-1]   )   ).mean()

														_a      	=							-(labels.shape[-1] * loss.item())

														_a      	=							-8_4.9_1_2_7
														self.assertTrue(abs(mtf_score - EXPECTED_SCORE   ) < 1e-4   )

