pytorch/ignite

Unify metrics output type

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#1635 aperta il 12 feb 2021

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HacktoberfestPyDataGlobaldocsenhancementhelp wantedmodule: metricsneeds-discussion

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Descrizione

🚀 Feature

The idea is to verify the output type for all metrics (output of compute function) and update the docs accordingly.

In general, metric's output should be a float number. In some particular cases, like Recall/Precision with average=False, the output is a torch tensor. So, let's see and decide if the output of compute() method can be :

  • def compute() -> float
  • def compute() -> Union[float, torch.Tensor] and tensor is on CPU
  • def compute() -> torch.Tensor with tensor on CPU

To address this FR, we have to make sure for each metric what kind of type it supposes to return and update the docs accordingly.

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