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torch / masked / maskedtensor / creation.py
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# mypy: allow-untyped-defs
# 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)