Method from_tensor

python/paddle/static/input.py:288–317

Generates a InputSpec based on the description of input tensor. Args: tensor(Tensor): the source tensor to generate a InputSpec instance Returns: A InputSpec instance generated from Tensor. Examples: .. code-block:: pycon

(cls, tensor: Tensor, name: str | None = None)

    @classmethod
    def from_tensor(cls, tensor: Tensor, name: str | None = None) -> Self:
        """
        Generates a InputSpec based on the description of input tensor.

        Args:
            tensor(Tensor): the source tensor to generate a InputSpec instance

        Returns:
            A InputSpec instance generated from Tensor.

        Examples:
            .. code-block:: pycon

                >>> import paddle
                >>> from paddle.static import InputSpec

                >>> paddle.disable_static()

                >>> x = paddle.ones([2, 2], dtype="float32")
                >>> x_spec = InputSpec.from_tensor(x, name='x')
                >>> print(x_spec)
                InputSpec(shape=(2, 2), dtype=paddle.float32, name=x, stop_gradient=False)

        """
        if isinstance(tensor, (Variable, core.eager.Tensor, paddle.pir.Value)):
            return cls(tensor.shape, tensor.dtype, name or tensor.name)
        else:
            raise ValueError(
                f"Input `tensor` should be a Tensor, but received {type(tensor).__name__}."
            )

    @classmethod
    def from_numpy(