oneflow.cross

oneflow.cross(input, other, dim=None)Tensor

Returns the cross product of vectors in dimension dim of input and other.

Supports input of float and double dtypes. Also supports batches of vectors, for which it computes the product along the dimension dim. In this case, the output has the same batch dimensions as the inputs.

If dim is not given, it defaults to the first dimension found with the size 3. Note that this might be unexpected.

The documentation is referenced from: https://pytorch.org/docs/1.11/generated/torch.cross.html

Warning

This function may change in a future PyTorch release to match the default behaviour in oneflow.linalg.cross(). We recommend using oneflow.linalg.cross().

Parameters
  • input (Tensor) – the first input tensor.

  • other (Tensor) – the second input tensor.

  • dim (int, optional) – the dimension to take the cross-product in. Default: None

Examples:

>>> import oneflow as flow
>>> a = flow.tensor([[ -0.3956, 1.1455,  1.6895],
...                  [ -0.5849, 1.3672,  0.3599],
...                  [ -1.1626, 0.7180, -0.0521],
...                  [ -0.1339, 0.9902, -2.0225]])
>>> b = flow.tensor([[ -0.0257, -1.4725, -1.2251],
...                  [ -1.1479, -0.7005, -1.9757],
...                  [ -1.3904,  0.3726, -1.1836],
...                  [ -0.9688, -0.7153,  0.2159]])
>>> flow.cross(a, b)
tensor([[ 1.0844, -0.5281,  0.6120],
        [-2.4491, -1.5687,  1.9791],
        [-0.8304, -1.3036,  0.5651],
        [-1.2329,  1.9883,  1.0551]], dtype=oneflow.float32)