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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.channel_shuffle

mindspore.ops.channel_shuffle(x, groups)

Divide the channels in a tensor of shape $(\ast ,C,H,W)$ into $g$ groups and rearrange them as $(\ast ,\frac{C}{g},g,H\ast W)$, while keeping the original tensor shapes.

Parameters

• x (Tensor) – Tensor to be divided, it has shape $(\ast ,C,H,W)$, with float16, float32, int8, int16, int32, int64, uint8, uint16, uint32, uint64 data type.

• groups (int) – Number of groups to divide channels in.

Returns

A Tensor, has the same type as the x, and has the shape $(\ast ,C,H,W)$.

Raises

• TypeError – If data type of x is not one of the following: float16, float32, int8, int16, int32, int64, uint8, uint16, uint32, uint64.

• TypeError – If dim of x is < 4.

• TypeError – If groups is not a positive number.

• ValueError – If channel number of x is not divisible by groups.

Supported Platforms:

Ascend CPU

Examples

>>> group = 2
>>> x = Tensor(np.arange(1* 4 * 2 * 2).reshape(1, 4, 2, 2).astype(np.int16))
>>> y = mindspore.ops.channel_shuffle(x, group)
>>> print(y)
[[[[ 0  1]
   [ 2  3]]
   [[ 8  9]
   [10 11]]
   [[ 4  5]
   [ 6  7]]
   [[12 13]
   [14 15]]]]