mindspore.ops.MaskedFill

class mindspore.ops.MaskedFill[source]

Fills elements of self tensor with value where mask is True.

The shapes of input and mask need to be the same or broadcast.

Inputs:

  • input (Tensor) - The source tensor whose data type is one of float16, float32, int8, int32.

  • mask (Tensor[bool]) - The boolean mask.

  • value (Union[float, Tensor]) – The value to fill in with, which only supports a 0-dimensional tensor or a float number.

Outputs:

Tensor, has the same type and shape as input.

Raises

  • TypeError – If input or mask is not a tensor.

  • TypeError – If value is neither float number nor tensor.

  • TypeError – If dtype of input or value is not one of float16, float32, int8, int32.

  • TypeError – If dtype of value is different from that of input.

  • TypeError – If dtype of mask is not bool.

  • ValueError – If the shapes of input and mask could not be broadcast.

Supported Platforms:

Ascend

Examples

>>> input = Tensor(np.array([1., 2., 3., 4.]), mindspore.float32)
>>> mask = Tensor(np.array([True, True, False, True]), mindspore.bool_)
>>> output = ops.MaskedFill()(input, mask, 0.5)
>>> print(output)
[0.5 0.5 3.  0.5]