





from collections import OrderedDict
from typing import Mapping

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


lowercase     :			Any     						=	logging.get_logger(__name__)

lowercase     :			Union[str, Any]     						=	{
    '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/config.json''',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}

class 			__A(    lowerCamelCase_			):
     __A							=							"rembert"

     def __init__(   self,							A=25_0300,							A=1152,							A=32,							A=18,							A=256,							A=1664,							A=4608,							A="gelu",							A=0.0,							A=0.0,							A=0.1,							A=512,							A=2,							A=0.02,							A=1E-1_2,							A=True,							A=0,							A=312,							A=313,							**A,							):





            """simple docstring"""

            super().__init__(pad_token_id=_lowercase,							bos_token_id=_lowercase,							eos_token_id=_lowercase,							**_lowercase   )

            _UpperCamelCase														=    vocab_size
            _UpperCamelCase														=    input_embedding_size
            _UpperCamelCase														=    output_embedding_size
            _UpperCamelCase														=    max_position_embeddings
            _UpperCamelCase														=    hidden_size
            _UpperCamelCase														=    num_hidden_layers
            _UpperCamelCase														=    num_attention_heads
            _UpperCamelCase														=    intermediate_size
            _UpperCamelCase														=    hidden_act
            _UpperCamelCase														=    hidden_dropout_prob
            _UpperCamelCase														=    attention_probs_dropout_prob
            _UpperCamelCase														=    classifier_dropout_prob
            _UpperCamelCase														=    initializer_range
            _UpperCamelCase														=    type_vocab_size
            _UpperCamelCase														=    layer_norm_eps
            _UpperCamelCase														=    use_cache
            _UpperCamelCase														=    False






class 			__A(    lowerCamelCase_			):

     @property
     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            if self.task == "multiple-choice":
                   _UpperCamelCase														=    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
            else:
                   _UpperCamelCase														=    {0: '''batch''', 1: '''sequence'''}
            return OrderedDict(
                [
                    ('''input_ids''', dynamic_axis),
                    ('''attention_mask''', dynamic_axis),
                    ('''token_type_ids''', dynamic_axis),
                ]   )



     @property
     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            return 1E-4







import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference







@slow
@require_torch_gpu
class __snake_case							(		unittest.TestCase						):




   def       __a		(       self     :							List[Any] ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= """runwayml/stable-diffusion-v1-5"""
     SCREAMING_SNAKE_CASE__     				= TextToVideoZeroPipeline.from_pretrained(_lowercase			,      torch_dtype=torch.floataa ).to("""cuda""" )
     SCREAMING_SNAKE_CASE__     				= DDIMScheduler.from_config(pipe.scheduler.config )
     SCREAMING_SNAKE_CASE__     				= torch.Generator(device="""cuda""" ).manual_seed(0 )

     SCREAMING_SNAKE_CASE__     				= """A bear is playing a guitar on Times Square"""
     SCREAMING_SNAKE_CASE__     				= pipe(prompt=_lowercase			,      generator=_lowercase ).images

     SCREAMING_SNAKE_CASE__     				= load_pt(
         """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt""" )

     assert_mean_pixel_difference(_lowercase			,      _lowercase )
