torch.isclose

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 of input is “close” to the corresponding element of other. Closeness is defined as:

$$\lvert \text{input}_i - \text{other}_i \rvert \leq \texttt{rtol} \times \lvert \text{other}_i \rvert + \texttt{atol}$$

where input and other are finite. Where 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.

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])