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from typing import TYPE_CHECKING |
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from ...utils import ( |
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DIFFUSERS_SLOW_IMPORT, |
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OptionalDependencyNotAvailable, |
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_LazyModule, |
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get_objects_from_module, |
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is_torch_available, |
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is_transformers_available, |
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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 |
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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["camera"] = ["create_pan_cameras"] |
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_import_structure["pipeline_shap_e"] = ["ShapEPipeline"] |
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_import_structure["pipeline_shap_e_img2img"] = ["ShapEImg2ImgPipeline"] |
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_import_structure["renderer"] = [ |
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"BoundingBoxVolume", |
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"ImportanceRaySampler", |
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"MLPNeRFModelOutput", |
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"MLPNeRSTFModel", |
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"ShapEParamsProjModel", |
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"ShapERenderer", |
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"StratifiedRaySampler", |
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"VoidNeRFModel", |
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] |
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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 .camera import create_pan_cameras |
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from .pipeline_shap_e import ShapEPipeline |
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from .pipeline_shap_e_img2img import ShapEImg2ImgPipeline |
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from .renderer import ( |
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BoundingBoxVolume, |
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ImportanceRaySampler, |
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MLPNeRFModelOutput, |
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MLPNeRSTFModel, |
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ShapEParamsProjModel, |
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ShapERenderer, |
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StratifiedRaySampler, |
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VoidNeRFModel, |
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) |
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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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