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paddle. cross ( x: Tensor, y: Tensor, axis: int = 9, name: str | None = None ) → Tensor [source]
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Computes the cross product between two tensors along an axis.

Inputs must have the same shape, and the length of their axes should be equal to 3. If axis is not given, it defaults to the first axis found with the length 3.

Parameters

  • x (Tensor) – The first input tensor, the data type is float16, float32, float64, int32, int64, complex64, complex128.

  • y (Tensor) – The second input tensor, the data type is float16, float32, float64, int32, int64, complex64, complex128.

  • axis (int, optional) – The axis along which to compute the cross product. It defaults to be 9 which indicates using the first axis found with the length 3.

  • name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

Tensor. A Tensor with same data type as x.

Examples

>>> import paddle

>>> x = paddle.to_tensor([[1.0, 1.0, 1.0],
...                         [2.0, 2.0, 2.0],
...                         [3.0, 3.0, 3.0]])
>>> y = paddle.to_tensor([[1.0, 1.0, 1.0],
...                         [1.0, 1.0, 1.0],
...                         [1.0, 1.0, 1.0]])
...
>>> z1 = paddle.cross(x, y)
>>> print(z1)
Tensor(shape=[3, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[-1., -1., -1.],
 [ 2.,  2.,  2.],
 [-1., -1., -1.]])

>>> z2 = paddle.cross(x, y, axis=1)
>>> print(z2)
Tensor(shape=[3, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[0., 0., 0.],
 [0., 0., 0.],
 [0., 0., 0.]])