pytorch 卷积自动编码器错误- 'RuntimeError：输入类型(torch.cuda.ByteTensor)和权重类型(torch.FloatTensor)应该相同,这是因为你的图像Tensor驻留在GPU中（在这里发生img = Variable(img).cuda()），而你的模型仍然在RAM中。请记住，您需要显式调用cuda()来向GPU发送Tensor（或nn.Module的示例）。只需要更改这一行：如果你想使用cuda来训练你的...
in encode out = self.first_stage_model.encode(pixels_in).to(self.output_device).float() ^^^ File "/Applications/ComfyUI.app/Contents/Resources/ComfyUI/comfy/ldm/models/autoencoder.py", line 130, in encode z = self.encoder(x) ^^^ File "/Users/askakwok/Documents/ComfyUI/.venv/lib/py...
That doesn't allow arbitrary unpickling and thus arbitrary code execution. Maybe an option for torch.load? Yes, one should not load/run code from unknown locations, but sometimes intermediate controls could be good: e.g. allowing to load only known types, such as tensors (and not model ins...
save_dir): os.makedirs(args.save_dir) save_prefix = os.path.join(args.save_dir, 'snapshot') save_path = '{}epoch{}.pt'.format(save_prefix, i) # torch.save(model_lstm.state_dict(),'best_models/mr_best_model_minibatch_acc_' + str(int(test_acc * 10000)) + '.model') torch...