masked_select( x, mask, name=None )
This OP Returns a new 1-D tensor which indexes the input tensor according to the
maskwhich is a tensor with data type of bool.
x (Tensor) – The input Tensor, the data type can be int32, int64, float32, float64.
mask (Tensor) – The Tensor containing the binary mask to index with, it’s data type is bool.
name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.
Returns: A 1-D Tensor which is the same data type as
import paddle x = paddle.to_tensor([[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0], [9.0, 10.0, 11.0, 12.0]]) mask = paddle.to_tensor([[True, False, False, False], [True, True, False, False], [True, False, False, False]]) out = paddle.masked_select(x, mask) #[1.0 5.0 6.0 9.0]