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from typing import *
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BACKEND = 'spconv'
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DEBUG = False
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ATTN = 'flash_attn'
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def __from_env():
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import os
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global BACKEND
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global DEBUG
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global ATTN
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env_sparse_backend = os.environ.get('SPARSE_BACKEND')
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env_sparse_debug = os.environ.get('SPARSE_DEBUG')
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env_sparse_attn = os.environ.get('SPARSE_ATTN_BACKEND')
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if env_sparse_attn is None:
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env_sparse_attn = os.environ.get('ATTN_BACKEND')
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if env_sparse_backend is not None and env_sparse_backend in ['spconv', 'torchsparse']:
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BACKEND = env_sparse_backend
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if env_sparse_debug is not None:
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DEBUG = env_sparse_debug == '1'
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if env_sparse_attn is not None and env_sparse_attn in ['xformers', 'flash_attn']:
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ATTN = env_sparse_attn
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print(f"[SPARSE] Backend: {BACKEND}, Attention: {ATTN}")
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__from_env()
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def set_backend(backend: Literal['spconv', 'torchsparse']):
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global BACKEND
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BACKEND = backend
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def set_debug(debug: bool):
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global DEBUG
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DEBUG = debug
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def set_attn(attn: Literal['xformers', 'flash_attn']):
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global ATTN
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ATTN = attn
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import importlib
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__attributes = {
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'SparseTensor': 'basic',
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'sparse_batch_broadcast': 'basic',
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'sparse_batch_op': 'basic',
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'sparse_cat': 'basic',
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'sparse_unbind': 'basic',
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'SparseGroupNorm': 'norm',
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'SparseLayerNorm': 'norm',
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'SparseGroupNorm32': 'norm',
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'SparseLayerNorm32': 'norm',
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'SparseReLU': 'nonlinearity',
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'SparseSiLU': 'nonlinearity',
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'SparseGELU': 'nonlinearity',
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'SparseActivation': 'nonlinearity',
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'SparseLinear': 'linear',
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'sparse_scaled_dot_product_attention': 'attention',
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'SerializeMode': 'attention',
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'sparse_serialized_scaled_dot_product_self_attention': 'attention',
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'sparse_windowed_scaled_dot_product_self_attention': 'attention',
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'SparseMultiHeadAttention': 'attention',
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'SparseConv3d': 'conv',
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'SparseInverseConv3d': 'conv',
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'SparseDownsample': 'spatial',
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'SparseUpsample': 'spatial',
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'SparseSubdivide' : 'spatial'
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}
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__submodules = ['transformer']
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__all__ = list(__attributes.keys()) + __submodules
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def __getattr__(name):
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if name not in globals():
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if name in __attributes:
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module_name = __attributes[name]
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module = importlib.import_module(f".{module_name}", __name__)
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globals()[name] = getattr(module, name)
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elif name in __submodules:
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module = importlib.import_module(f".{name}", __name__)
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globals()[name] = module
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else:
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raise AttributeError(f"module {__name__} has no attribute {name}")
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return globals()[name]
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if __name__ == '__main__':
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from .basic import *
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from .norm import *
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from .nonlinearity import *
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from .linear import *
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from .attention import *
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from .conv import *
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from .spatial import *
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import transformer
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