MetaKernel annotation error

[fengluodb]

I found some annotation error in MetaKernel.

1. In forward, param coord_data: num_batch, 3, H, W link. But it's not real, in SalsaNextWithMotionAttention, coor_data is current_range_image, it's channel is 5;
2. In sample_data , :return: sample_output: num_batch, num_channel_in * kernel_size * kernel_size, H, W, link. I think the outout should be num_batch, num_channel * kernel_size * kernel_size, HxW

[MaxChanger]

Thank you for such meticulous coding review.
I took a quick look and recalled that this part of the annotation may be from the original RangeDet, which has not been carefully checked and modified.

1. It really needs to be corrected here, because in fact, any dimension can be passed in here, (x, y, z), or (x, y, z, i, r)
   

   MotionSeg3D/modules/SalsaNextWithMotionAttention.py

   Lines 136 to 140 in dc4c95f

   	downCntx = self.metaConv(data=downCntx,
   	coord_data=current_range_image,
   	data_channels=downCntx.size()[1],
   	coord_channels=current_range_image.size()[1],
   	kernel_size=3)

2. I think you might be right, I look further into docs doc_mxnet and doc_torch_nn.Unfold, and confirm the tensor shape/size when debugging.

These will be fixed and updated soon.