


"""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):


     """simple docstring"""

     @slow
     def 		a__						(	self:						Dict	)->    Optional[Any]:
           lowerCamelCase					:					Union[str, Any]        =	FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""	)
           lowerCamelCase					:					int        =	AutoTokenizer.from_pretrained("""google/mt5-small"""	)

           lowerCamelCase					:					Any        =	tokenizer("""Hello there"""     ,		return_tensors="""np"""	).input_ids
           lowerCamelCase					:					List[str]        =	tokenizer("""Hi I am"""     ,		return_tensors="""np"""	).input_ids

           lowerCamelCase					:					Any        =	shift_tokens_right(lowercase_     ,		model.config.pad_token_id     ,		model.config.decoder_start_token_id	)

           lowerCamelCase					:					int        =	model(lowercase_     ,		decoder_input_ids=lowercase_	).logits
           lowerCamelCase					:					List[Any]        =	optax.softmax_cross_entropy(lowercase_     ,		onehot(lowercase_     ,		logits.shape[-1]	)	).mean()

           lowerCamelCase					:					Any        =	-(labels.shape[-1] * loss.item())

           lowerCamelCase					:					str        =	-84.91_27
           self.assertTrue(abs(mtf_score - EXPECTED_SCORE	) < 1e-4	)








"""simple docstring"""


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


__lowerCamelCase      :Tuple	    =		logging.get_logger(__name__)

__lowerCamelCase      :Any	    =		{
    '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 			A__	(						__lowercase):


     """simple docstring"""
     snake_case__	:					Tuple													='''glpn'''

     def __init__(	self:						Dict     ,		__a:						List[str]=3     ,		__a:						Optional[int]=4     ,		__a:						Dict=[2, 2, 2, 2]     ,		__a:						str=[8, 4, 2, 1]     ,		__a:						Optional[int]=[32, 64, 160, 256]     ,		__a:						Dict=[7, 3, 3, 3]     ,		__a:						Dict=[4, 2, 2, 2]     ,		__a:						Optional[Any]=[1, 2, 5, 8]     ,		__a:						Tuple=[4, 4, 4, 4]     ,		__a:						int="gelu"     ,		__a:						Union[str, Any]=0.0     ,		__a:						str=0.0     ,		__a:						Union[str, Any]=0.02     ,		__a:						str=0.1     ,		__a:						Union[str, Any]=1e-6     ,		__a:						Any=64     ,		__a:						Dict=10     ,		__a:						Union[str, Any]=-1     ,		**__a:						Optional[Any]     ,		)->    Dict:
           super().__init__(**__a	)

           lowerCamelCase					:					Dict        =	num_channels
           lowerCamelCase					:					Any        =	num_encoder_blocks
           lowerCamelCase					:					Dict        =	depths
           lowerCamelCase					:					List[str]        =	sr_ratios
           lowerCamelCase					:					Dict        =	hidden_sizes
           lowerCamelCase					:					Tuple        =	patch_sizes
           lowerCamelCase					:					Optional[int]        =	strides
           lowerCamelCase					:					Optional[Any]        =	mlp_ratios
           lowerCamelCase					:					Union[str, Any]        =	num_attention_heads
           lowerCamelCase					:					List[str]        =	hidden_act
           lowerCamelCase					:					Any        =	hidden_dropout_prob
           lowerCamelCase					:					Optional[int]        =	attention_probs_dropout_prob
           lowerCamelCase					:					List[Any]        =	initializer_range
           lowerCamelCase					:					Dict        =	drop_path_rate
           lowerCamelCase					:					Any        =	layer_norm_eps
           lowerCamelCase					:					Optional[Any]        =	decoder_hidden_size
           lowerCamelCase					:					Tuple        =	max_depth
           lowerCamelCase					:					Optional[Any]        =	head_in_index




