mindspore.Tensor.clone

Tensor.clone() → Tensor

Returns a copy of self.

Note

This function is differentiable, and gradients will flow back directly from the calculation result of the function to the self.

Returns:

Tensor, with the same data, shape and type as self.

Supported Platforms:

Ascend

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> input = Tensor(np.ones((3,3)).astype("float32"))
>>> output = input.clone()
>>> print(output)
[[1. 1. 1.]
 [1. 1. 1.]
 [1. 1. 1.]]