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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) | |