GoodJuicee

> When i use these code to train this network with multi GPU: if torch.cuda.device_count() > 1: model = torch.nn.DataParallel(model) model = model.cuda() It send me this error： RuntimeError: Caught...

> When i use these code to train this network with multi GPU: if torch.cuda.device_count() > 1: model = torch.nn.DataParallel(model) model = model.cuda() It send me this error： RuntimeError: Caught...

`I solved this problem. Please try to this code coords = np.concatenate(coords, 0) feats = np.concatenate(feats, 0) labels = np.concatenate(labels, 0) coords2, feats2, labels2, labels2_2 = ME.utils.sparse_quantize( coords, feats, labels,...

> Hello，did you solve this problem

> Please run the preprocessing in this file to generate the dataset: `pre_post_processing/Add_Gaussian_Noise.py` Thank you for your reply, would you like to ask Add_ Gaussian_ The purpose of Noise. py...