Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,234 Bytes
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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]
# For Pylance
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
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