masked_fill_¶

paddle. masked_fill_ ( x, mask, value, name=None ) [source]

Inplace version of masked_fill API, the output Tensor will be inplaced with input x. Please refer to masked_fill.

Examples

>>> 
>>> import paddle
>>> x = paddle.ones((3, 3), dtype="float32")
>>> mask = paddle.to_tensor([[True, False, False]])
>>> out = paddle.masked_fill_(x, mask, 2)
>>> print(out)
Tensor(shape=[3, 3], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [[2., 1., 1.],
        [2., 1., 1.],
        [2., 1., 1.]])