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# Copyright (c) Meta Platforms, Inc. and affiliates
from .core import MaskedTensor
__all__ = [
"as_masked_tensor",
"masked_tensor",
]
""""
These two factory functions are intended to mirror
torch.tensor - guaranteed to be a leaf node
torch.as_tensor - differentiable constructor that preserves the autograd history
"""
def masked_tensor(data, mask, requires_grad=False):
return MaskedTensor(data, mask, requires_grad)
def as_masked_tensor(data, mask):
return MaskedTensor._from_values(data, mask)
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