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torch.allclose

torch.allclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False) bool

This function checks if input and other satisfy the condition:

inputotheratol+rtol×other\lvert \text{input} - \text{other} \rvert \leq \texttt{atol} + \texttt{rtol} \times \lvert \text{other} \rvert

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

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