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:
  \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
