__init__.py 1.9 KB

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  1. # Copyright 2023 The HuggingFace Team. All rights reserved.
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. from typing import TYPE_CHECKING
  15. # rely on isort to merge the imports
  16. from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  17. _import_structure = {
  18. "configuration_patchtsmixer": ["PatchTSMixerConfig"],
  19. }
  20. try:
  21. if not is_torch_available():
  22. raise OptionalDependencyNotAvailable()
  23. except OptionalDependencyNotAvailable:
  24. pass
  25. else:
  26. _import_structure["modeling_patchtsmixer"] = [
  27. "PatchTSMixerPreTrainedModel",
  28. "PatchTSMixerModel",
  29. "PatchTSMixerForPretraining",
  30. "PatchTSMixerForPrediction",
  31. "PatchTSMixerForTimeSeriesClassification",
  32. "PatchTSMixerForRegression",
  33. ]
  34. if TYPE_CHECKING:
  35. from .configuration_patchtsmixer import (
  36. PatchTSMixerConfig,
  37. )
  38. try:
  39. if not is_torch_available():
  40. raise OptionalDependencyNotAvailable()
  41. except OptionalDependencyNotAvailable:
  42. pass
  43. else:
  44. from .modeling_patchtsmixer import (
  45. PatchTSMixerForPrediction,
  46. PatchTSMixerForPretraining,
  47. PatchTSMixerForRegression,
  48. PatchTSMixerForTimeSeriesClassification,
  49. PatchTSMixerModel,
  50. PatchTSMixerPreTrainedModel,
  51. )
  52. else:
  53. import sys
  54. sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)