torch.isclose — PyTorch 2.7 documentation (original) (raw)

torch.isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False) → Tensor¶

Returns a new tensor with boolean elements representing if each element ofinput is “close” to the corresponding element of other. Closeness is defined as:

∣inputi−otheri∣≤rtol×∣otheri∣+atol\lvert \text{input}_i - \text{other}_i \rvert \leq \texttt{rtol} \times \lvert \text{other}_i \rvert + \texttt{atol}

where input and other are finite. Where inputand/or other are nonfinite they are close if and only if they are equal, with NaNs being considered equal to each other whenequal_nan is True.

Parameters

• input (Tensor) – first tensor to compare
• other (Tensor) – second tensor to compare
• rtol (float, optional) – relative tolerance. Default: 1e-05
• atol (float, optional) – absolute tolerance. Default: 1e-08
• equal_nan (bool, optional) – if True, then two NaN s will be considered equal. Default: False

Examples:

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])