76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
# flake8: noqa
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from typing import TYPE_CHECKING
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from ...utils import DIFFUSERS_SLOW_IMPORT
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from ...utils import (
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_LazyModule,
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is_note_seq_available,
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OptionalDependencyNotAvailable,
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is_torch_available,
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is_transformers_available,
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get_objects_from_module,
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)
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_dummy_objects = {}
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_import_structure = {}
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try:
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if not (is_transformers_available() and is_torch_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils import dummy_torch_and_transformers_objects # noqa F403
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_dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
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else:
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_import_structure["continous_encoder"] = ["SpectrogramContEncoder"]
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_import_structure["notes_encoder"] = ["SpectrogramNotesEncoder"]
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_import_structure["pipeline_spectrogram_diffusion"] = [
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"SpectrogramContEncoder",
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"SpectrogramDiffusionPipeline",
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"T5FilmDecoder",
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]
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try:
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if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils import dummy_transformers_and_torch_and_note_seq_objects
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_dummy_objects.update(get_objects_from_module(dummy_transformers_and_torch_and_note_seq_objects))
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else:
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_import_structure["midi_utils"] = ["MidiProcessor"]
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if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
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try:
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if not (is_transformers_available() and is_torch_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils.dummy_torch_and_transformers_objects import *
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else:
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from .pipeline_spectrogram_diffusion import SpectrogramDiffusionPipeline
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from .pipeline_spectrogram_diffusion import SpectrogramContEncoder
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from .pipeline_spectrogram_diffusion import SpectrogramNotesEncoder
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from .pipeline_spectrogram_diffusion import T5FilmDecoder
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try:
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if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *
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else:
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from .midi_utils import MidiProcessor
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else:
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import sys
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sys.modules[__name__] = _LazyModule(
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__name__,
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globals()["__file__"],
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_import_structure,
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module_spec=__spec__,
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)
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for name, value in _dummy_objects.items():
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setattr(sys.modules[__name__], name, value)
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