mindspore.ops.msort
- mindspore.ops.msort(input)[source]
Sorts the elements in Tensor in ascending order of value along its first dimension.
ops.msort(t) is equivalent to ops.Sort(axis=0)(t)[0]. See also
mindspore.ops.Sort()
.- Parameters
input (Tensor) – The input to sort, with float16 or float32 data type.
- Returns
A tensor whose values are the sorted values, with the same shape and data type as input.
- Raises
TypeError – If dtype of input is neither float16 nor float32.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore as ms >>> from mindspore import ops >>> import numpy as np >>> input = ms.Tensor(np.array([[8, 2, 1], [5, 9, 3], [4, 6, 7]]), ms.float16) >>> output = ops.msort(input) >>> print(output) [[4. 2. 1.] [5. 6. 3.] [8. 9. 7.]]