src/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py - main - ai-forever/diffusers-new

src/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py
75 строк3 KB
Dhruv Nair
Deprecate Pipelines (#6169)
18 дек 2023, 20:38
18 дек 2023, 20:38a0c5482
# flake8: noqa
from typing import TYPE_CHECKING
from ....utils import (
    DIFFUSERS_SLOW_IMPORT,
    _LazyModule,
    is_note_seq_available,
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    get_objects_from_module,
)

_dummy_objects = {}
_import_structure = {}

try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ....utils import dummy_torch_and_transformers_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
else:
    _import_structure["continous_encoder"] = ["SpectrogramContEncoder"]
    _import_structure["notes_encoder"] = ["SpectrogramNotesEncoder"]
    _import_structure["pipeline_spectrogram_diffusion"] = [
        "SpectrogramContEncoder",
        "SpectrogramDiffusionPipeline",
        "T5FilmDecoder",
    ]
try:
    if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ....utils import dummy_transformers_and_torch_and_note_seq_objects

    _dummy_objects.update(get_objects_from_module(dummy_transformers_and_torch_and_note_seq_objects))
else:
    _import_structure["midi_utils"] = ["MidiProcessor"]


if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
    try:
        if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()

    except OptionalDependencyNotAvailable:
        from ....utils.dummy_torch_and_transformers_objects import *
    else:
        from .pipeline_spectrogram_diffusion import SpectrogramDiffusionPipeline
        from .pipeline_spectrogram_diffusion import SpectrogramContEncoder
        from .pipeline_spectrogram_diffusion import SpectrogramNotesEncoder
        from .pipeline_spectrogram_diffusion import T5FilmDecoder

    try:
        if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ....utils.dummy_transformers_and_torch_and_note_seq_objects import *

    else:
        from .midi_utils import MidiProcessor

else:
    import sys

    sys.modules[__name__] = _LazyModule(
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
    )

    for name, value in _dummy_objects.items():
        setattr(sys.modules[__name__], name, value)