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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.ne.html below:

torch.ne — PyTorch 2.7 documentation

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

Computes input ≠ other \text{input} \neq \text{other} input=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

Keyword Arguments

out (Tensor, optional) – the output tensor.

Returns

A boolean tensor that is True where input is not equal to other and False elsewhere

Example:

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

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