


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 ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__a      =				{
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				["Mask2FormerImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				[
						    "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "Mask2FormerForUniversalSegmentation",
						    "Mask2FormerModel",
						    "Mask2FormerPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_maskaformer import MaskaFormerImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_maskaformer import (
												    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MaskaFormerForUniversalSegmentation,
												    MaskaFormerModel,
												    MaskaFormerPreTrainedModel,
												)


else:
						import sys

						__a      =				_LazyModule(__name__, globals()["__file__"], _import_structure)
