Method from_numpy

python/paddle/static/input.py:320–344

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

(
        cls, ndarray: npt.NDArray[Any], name: str | None = None
    )

    @classmethod
    def from_numpy(
        cls, ndarray: npt.NDArray[Any], name: str | None = None
    ) -> Self:
        """
        Generates a InputSpec based on the description of input np.ndarray.

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

        Returns:
            A InputSpec instance generated from Tensor.

        Examples:
            .. code-block:: pycon

                >>> import numpy as np
                >>> from paddle.static import InputSpec

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

        """
        return cls(ndarray.shape, ndarray.dtype, name)

    def batch(self, batch_size: int | Size1) -> Self:
        """