mindspore.ops.dsplit
- mindspore.ops.dsplit(input, indices_or_sections)[source]
Splits a tensor into multiple sub-tensors along the 3rd axis. It is equivalent to ops.tensor_split with \(axis=2\) .
- Parameters
- Returns
A list of sub-tensors.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> from mindspore import Tensor, ops >>> input_x = np.arange(6).reshape((1, 2, 3)).astype('float32') >>> output = ops.dsplit(Tensor(input_x), 3) >>> print(output) (Tensor(shape=[1, 2, 1], dtype=Float32, value=[[[ 0.00000000e+00], [ 3.00000000e+00]]]), Tensor(shape=[1, 2, 1], dtype=Float32, value=[[[ 1.00000000e+00], [ 4.00000000e+00]]]), Tensor(shape=[1, 2, 1], dtype=Float32, value=[[[ 2.00000000e+00], [ 5.00000000e+00]]]))