from_numpy

paddle. from_numpy ( ndarray: NDArray[Any] ) → paddle.Tensor [source]

Creates a paddle.Tensor from a numpy.ndarray.

The returned Tensor and the input ndarray share the same underlying memory. Changes to the Tensor will be reflected in the ndarray and vice versa.

Parameters: ndarray (numpy.ndarray) – The numpy ndarray to be converted to a Tensor.
Returns: A Tensor that shares the same memory with the input ndarray.
Return type: Tensor

Examples

           >>> import paddle
>>> import numpy as np

>>> np_data = np.array([1, 2, 3]).astype('int64')
>>> tensor = paddle.from_numpy(np_data)
>>> print(tensor)
Tensor(shape=[3], dtype=int64, place=Place(cpu), stop_gradient=True,
       [1, 2, 3])

          