Prediction-MindSpore/utils/masking.py

import mindspore
import mindspore.ops.operations as P
import mindspore.numpy as mnp
1
class TriangularCausalMask():
    def __init__(self, B, L, device="cpu"):
        mask_shape = [B, 1, L, L]
        self._mask = mindspore.Tensor(mnp.triu(mnp.ones(mask_shape, dtype=mnp.bool_), 1).to(device))

    @property
    def mask(self):
        return self._mask

class ProbMask():
    def __init__(self, B, H, L, index, scores, device="cpu"):
        _mask = mindspore.Tensor(mnp.triu(mnp.ones((L, scores.shape[-1]), dtype=mnp.bool_)).to(device))
        _mask_ex = _mask[None, None, :]
        indicator = _mask_ex[mnp.arange(B)[:, None, None],
                             mnp.arange(H)[None, :, None],
                             index, :].to(device)
        self._mask = indicator.view(scores.shape).to(device)
    
    @property
    def mask(self):
        return self._mask