bitwise_and¶

paddle. bitwise_and ( x, y, out=None, name=None ) [source]

It operates bitwise_and on Tensor X and Y .

\[Out = X \& Y\]

Note

paddle.bitwise_and supports broadcasting. If you want know more about broadcasting, please refer to user_guide_broadcasting.

Parameters

• x (Tensor) – Input Tensor of bitwise_and . It is a N-D Tensor of bool, uint8, int8, int16, int32, int64

• y (Tensor) – Input Tensor of bitwise_and . It is a N-D Tensor of bool, uint8, int8, int16, int32, int64

• out (Tensor) – Result of bitwise_and . It is a N-D Tensor with the same data type of input Tensor

Returns

Result of bitwise_and . 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_and(x, y)
print(res)  # [0, 2, 1]