Method eval

torch/nn/modules/module.py:2397–2413

r"""Set the module in evaluation mode. This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation mode, if they are affected, e.g. :class:`Dropout`, :class:`BatchNorm`, etc. Thi

(self: T)

        return self

    def eval(self: T) -> T:
        r"""Set the module in evaluation mode.

        This has any effect only on certain modules. See documentations of
        particular modules for details of their behaviors in training/evaluation
        mode, if they are affected, e.g. :class:`Dropout`, :class:`BatchNorm`,
        etc.

        This is equivalent with :meth:`self.train(False) <torch.nn.Module.train>`.

        See :ref:`locally-disable-grad-doc` for a comparison between
        `.eval()` and several similar mechanisms that may be confused with it.

        Returns:
            Module: self
        """
        return self.train(False)

    def requires_grad_(self: T, requires_grad: bool = True) -> T:
        r"""Change if autograd should record operations on parameters in this module.