
import torch

from diffusers import DiffusionPipeline





class       __A(				a__       ):

     def __init__(	self					:     str   ,					__UpperCamelCase					:     Dict   ,					__UpperCamelCase					:     Union[str, Any]   ):
            super().__init__()

            self.register_modules(unet=lowerCamelCase_   ,					scheduler=lowerCamelCase_   )



     def __call__(	self					:     Union[str, Any]   ):
            lowerCamelCase_							  =					torch.randn(
                (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)   ,					)
            lowerCamelCase_							  =					1

            lowerCamelCase_							  =					self.unet(lowerCamelCase_   ,					lowerCamelCase_   ).sample
            lowerCamelCase_							  =					self.scheduler.step(lowerCamelCase_   ,					lowerCamelCase_   ,					lowerCamelCase_   ).prev_sample

            lowerCamelCase_							  =					scheduler_output - scheduler_output + torch.ones_like(lowerCamelCase_   )

            return result







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowercase        =  {'''configuration_speech_encoder_decoder''': ['''SpeechEncoderDecoderConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase        =  ['''SpeechEncoderDecoderModel''']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase        =  ['''FlaxSpeechEncoderDecoderModel''']

if TYPE_CHECKING:
		from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
		import sys

		lowercase        =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





