torch.ne

torch.ne(input, other, out=None) → Tensor

Computes $input \neq other$ element-wise.

The second argument can be a number or a tensor whose shape is broadcastable with the first argument.

Parameters

• input (Tensor) – the tensor to compare

• other (Tensor or float) – the tensor or value to compare

• out (Tensor, optional) – the output tensor that must be a BoolTensor

Returns

A torch.BoolTensor containing a True at each location where comparison is true.

Return type

Tensor

Example:

>>> torch.ne(torch.tensor([[1, 2], [3, 4]]), torch.tensor([[1, 1], [4, 4]]))
tensor([[False, True], [True, False]])