Method _prepare_inputs

src/transformers/trainer.py:2203–2215

Prepare `inputs` before feeding them to the model, converting them to tensors if they are not already and handling potential state.

(self, inputs: dict[str, torch.Tensor | Any])

        return data

    def _prepare_inputs(self, inputs: dict[str, torch.Tensor | Any]) -> dict[str, torch.Tensor | Any]:
        """
        Prepare `inputs` before feeding them to the model, converting them to tensors if they are not already and
        handling potential state.
        """
        inputs = self._prepare_input(inputs)
        if len(inputs) == 0:
            raise ValueError(
                "The batch received was empty, your model won't be able to train on it. Double-check that your "
                f"training dataset contains keys expected by the model: {','.join(self._signature_columns)}."
            )

        return inputs

    def _prepare_context_parallel_inputs(
        self, model: nn.Module, inputs: dict[str, torch.Tensor | Any]