

from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       from ..utils.dummy_pt_objects import *  # noqa F403
else:
       from .scheduling_consistency_models import CMStochasticIterativeScheduler
       from .scheduling_ddim import DDIMScheduler
       from .scheduling_ddim_inverse import DDIMInverseScheduler
       from .scheduling_ddim_parallel import DDIMParallelScheduler
       from .scheduling_ddpm import DDPMScheduler
       from .scheduling_ddpm_parallel import DDPMParallelScheduler
       from .scheduling_deis_multistep import DEISMultistepScheduler
       from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
       from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
       from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
       from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
       from .scheduling_euler_discrete import EulerDiscreteScheduler
       from .scheduling_heun_discrete import HeunDiscreteScheduler
       from .scheduling_ipndm import IPNDMScheduler
       from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
       from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
       from .scheduling_karras_ve import KarrasVeScheduler
       from .scheduling_pndm import PNDMScheduler
       from .scheduling_repaint import RePaintScheduler
       from .scheduling_sde_ve import ScoreSdeVeScheduler
       from .scheduling_sde_vp import ScoreSdeVpScheduler
       from .scheduling_unclip import UnCLIPScheduler
       from .scheduling_unipc_multistep import UniPCMultistepScheduler
       from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
       from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       from ..utils.dummy_flax_objects import *  # noqa F403
else:
       from .scheduling_ddim_flax import FlaxDDIMScheduler
       from .scheduling_ddpm_flax import FlaxDDPMScheduler
       from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
       from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
       from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
       from .scheduling_pndm_flax import FlaxPNDMScheduler
       from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
       from .scheduling_utils_flax import (
           FlaxKarrasDiffusionSchedulers,
           FlaxSchedulerMixin,
           FlaxSchedulerOutput,
           broadcast_to_shape_from_left,
       )


try:
       if not (is_torch_available() and is_scipy_available()):
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
       from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
       if not (is_torch_available() and is_torchsde_available()):
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
       from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler




'''simple docstring'''
from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


__snake_case							      =     {'''configuration_dpt''': ['''DPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DPTConfig''']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							      =     ['''DPTFeatureExtractor''']
		__snake_case							      =     ['''DPTImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							      =     [
		    '''DPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''DPTForDepthEstimation''',
		    '''DPTForSemanticSegmentation''',
		    '''DPTModel''',
		    '''DPTPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_dpt import DPTFeatureExtractor
				from .image_processing_dpt import DPTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_dpt import (
				    DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DPTForDepthEstimation,
				    DPTForSemanticSegmentation,
				    DPTModel,
				    DPTPreTrainedModel,
				)


else:
		import sys

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