bitwise_or¶
- paddle. bitwise_or ( x, y, out=None, name=None ) [source]
-
Apply
bitwise_or
on TensorX
andY
.\[Out = X | Y\]Note
paddle.bitwise_or
supports broadcasting. If you want know more about broadcasting, please refer to please refer to Introduction to Tensor .- Parameters
-
x (Tensor) – Input Tensor of
bitwise_or
. It is a N-D Tensor of bool, uint8, int8, int16, int32, int64.y (Tensor) – Input Tensor of
bitwise_or
. It is a N-D Tensor of bool, uint8, int8, int16, int32, int64.out (Tensor) – Result of
bitwise_or
. It is a N-D Tensor with the same data type of input Tensor.
- Returns
-
Result of
bitwise_or
. It is a N-D Tensor with the same data type of input Tensor. - Return type
-
Tensor
Examples
import paddle x = paddle.to_tensor([-5, -1, 1]) y = paddle.to_tensor([4, 2, -3]) res = paddle.bitwise_or(x, y) print(res) # [-1, -1, -3]