mindspore.mint.zeros_like
- mindspore.mint.zeros_like(input, *, dtype=None)[source]
Creates a tensor filled with 0, with the same size as input. Its data type is determined by the given dtype.
If dtype = None, the tensor will have the same dtype as input input.
- Parameters
input (Tensor) – Tensor of any dimension.
- Keyword Arguments
dtype (
mindspore.dtype
, optional) – The specified dtype of the output tensor. If dtype isNone
, the dtype of the input tensor will be used. Default:None
.- Returns
Tensor, filled with 0.
- Raises
TypeError – If dtype is not a MindSpore dtype.
- Supported Platforms:
Ascend
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, mint >>> x = Tensor(np.arange(4).reshape(2, 2)) >>> output = mint.zeros_like(x, dtype=mindspore.float32) >>> print(output) [[0. 0.] [0. 0.]]