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trellis/trainers/__init__.py

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+import importlib
+
+__attributes = {
+    'BasicTrainer': 'basic',
+    
+    'SparseStructureVaeTrainer': 'vae.sparse_structure_vae',
+    
+    'SLatVaeGaussianTrainer': 'vae.structured_latent_vae_gaussian',
+    'SLatVaeRadianceFieldDecoderTrainer': 'vae.structured_latent_vae_rf_dec',
+    'SLatVaeMeshDecoderTrainer': 'vae.structured_latent_vae_mesh_dec',
+    
+    'FlowMatchingTrainer': 'flow_matching.flow_matching',
+    'FlowMatchingCFGTrainer': 'flow_matching.flow_matching',
+    'TextConditionedFlowMatchingCFGTrainer': 'flow_matching.flow_matching',
+    'ImageConditionedFlowMatchingCFGTrainer': 'flow_matching.flow_matching',
+    
+    'SparseFlowMatchingTrainer': 'flow_matching.sparse_flow_matching',
+    'SparseFlowMatchingCFGTrainer': 'flow_matching.sparse_flow_matching',
+    'TextConditionedSparseFlowMatchingCFGTrainer': 'flow_matching.sparse_flow_matching',
+    'ImageConditionedSparseFlowMatchingCFGTrainer': 'flow_matching.sparse_flow_matching',
+}
+
+__submodules = []
+
+__all__ = list(__attributes.keys()) + __submodules
+
+def __getattr__(name):
+    if name not in globals():
+        if name in __attributes:
+            module_name = __attributes[name]
+            module = importlib.import_module(f".{module_name}", __name__)
+            globals()[name] = getattr(module, name)
+        elif name in __submodules:
+            module = importlib.import_module(f".{name}", __name__)
+            globals()[name] = module
+        else:
+            raise AttributeError(f"module {__name__} has no attribute {name}")
+    return globals()[name]
+
+
+# For Pylance
+if __name__ == '__main__':
+    from .basic import BasicTrainer
+
+    from .vae.sparse_structure_vae import SparseStructureVaeTrainer
+
+    from .vae.structured_latent_vae_gaussian import SLatVaeGaussianTrainer
+    from .vae.structured_latent_vae_rf_dec import SLatVaeRadianceFieldDecoderTrainer
+    from .vae.structured_latent_vae_mesh_dec import SLatVaeMeshDecoderTrainer
+    
+    from .flow_matching.flow_matching import (
+        FlowMatchingTrainer,
+        FlowMatchingCFGTrainer,
+        TextConditionedFlowMatchingCFGTrainer,
+        ImageConditionedFlowMatchingCFGTrainer,
+    )
+    
+    from .flow_matching.sparse_flow_matching import (
+        SparseFlowMatchingTrainer,
+        SparseFlowMatchingCFGTrainer,
+        TextConditionedSparseFlowMatchingCFGTrainer,
+        ImageConditionedSparseFlowMatchingCFGTrainer,
+    )