Returns a new tensor with boolean elements representing if each element of input is “close” to the corresponding element of other. Closeness is defined as:
∣ input i − other i ∣ ≤ rtol × ∣ other i ∣ + atol \lvert \text{input}_i - \text{other}_i \rvert \leq \texttt{rtol} \times \lvert \text{other}_i \rvert + \texttt{atol} ∣inputi−otheri∣≤rtol×∣otheri∣+atol
where input and other are finite. Where input and/or other are nonfinite they are close if and only if they are equal, with NaNs being considered equal to each other when equal_nan is True.
>>> torch.isclose(torch.tensor((1., 2, 3)), torch.tensor((1 + 1e-10, 3, 4)))
tensor([ True, False, False])
>>> torch.isclose(torch.tensor((float('inf'), 4)), torch.tensor((float('inf'), 6)), rtol=.5)
tensor([True, True])
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