| from . import config
|
| import importlib
|
|
|
| __attributes = {
|
| 'VarLenTensor': 'basic',
|
| 'varlen_cat': 'basic',
|
| 'varlen_unbind': 'basic',
|
| 'SparseTensor': 'basic',
|
| 'sparse_cat': 'basic',
|
| 'sparse_unbind': 'basic',
|
| 'SparseGroupNorm': 'norm',
|
| 'SparseLayerNorm': 'norm',
|
| 'SparseGroupNorm32': 'norm',
|
| 'SparseLayerNorm32': 'norm',
|
| 'SparseReLU': 'nonlinearity',
|
| 'SparseSiLU': 'nonlinearity',
|
| 'SparseGELU': 'nonlinearity',
|
| 'SparseActivation': 'nonlinearity',
|
| 'SparseLinear': 'linear',
|
| 'sparse_scaled_dot_product_attention': 'attention',
|
| 'SerializeMode': 'attention',
|
| 'sparse_serialized_scaled_dot_product_self_attention': 'attention',
|
| 'sparse_windowed_scaled_dot_product_self_attention': 'attention',
|
| 'sparse_windowed_scaled_dot_product_cross_attention': 'attention',
|
| 'SparseRotaryPositionEmbedder': 'attention',
|
| 'SparseMultiHeadAttention': 'attention',
|
| 'SparseConv3d': 'conv',
|
| 'SparseInverseConv3d': 'conv',
|
| 'SparseDownsample': 'spatial',
|
| 'SparseUpsample': 'spatial',
|
| 'SparseSubdivide': 'spatial',
|
| 'SparseSpatial2Channel': 'spatial',
|
| 'SparseChannel2Spatial': 'spatial',
|
| 'sparse_nearest_interpolate': 'spatial',
|
| 'sparse_trilinear_interpolate': 'spatial',
|
| 'encode_seq': 'serialize',
|
| 'decode_seq': 'serialize',
|
| }
|
|
|
| __submodules = ['transformer', 'conv']
|
|
|
| __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]
|
|
|
|
|
|
|
| if __name__ == '__main__':
|
| from .basic import *
|
| from .norm import *
|
| from .nonlinearity import *
|
| from .linear import *
|
| from .attention import *
|
| from .conv import *
|
| from .spatial import *
|
| from .serialize import *
|
| import transformer
|
| import conv
|
|
|