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

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

This function checks if input and other satisfy the condition:

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

elementwise, for all elements of input and other. The behaviour of this function is analogous tonumpy.allclose

Parameters

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

Example:

torch.allclose(torch.tensor([10000., 1e-07]), torch.tensor([10000.1, 1e-08])) False torch.allclose(torch.tensor([10000., 1e-08]), torch.tensor([10000.1, 1e-09])) True torch.allclose(torch.tensor([1.0, float('nan')]), torch.tensor([1.0, float('nan')])) False torch.allclose(torch.tensor([1.0, float('nan')]), torch.tensor([1.0, float('nan')]), equal_nan=True) True