About training time and batchsize

[hmax233]

Table 1 in your papers says that training time < 12hours per net work.But it takes about 19 hours when I train the undc float network with point cloud input(gpu rtx A6000). And the batch size must be 1 in data loader,I want to know why.Because actually the data loader and network can be changed to process multiple shapes in one batch.

[czq142857]

Please change the title to a summary of the issue.

12 hours is for training on SDF inputs, since that table is comparing NMC and NDC. It takes longer to train on point cloud inputs.

The batch size is 1 because each shape may have a different size, e.g., one shape is 4x4x4 and another 3x4x5, so you cannot put them in the same batch. Of course, you can do some tricks to have more shapes in a batch. I just used one shape per batch for simplicity.

[hmax233]

Thanks for your reply!