摘要：
w_size = 512 h_size = 256 sub_input_label = torch.zeros([input_label.shape[0],input_label.shape[1],h_size,w_size], dtype=torch.float32,device=input_la 阅读全文
摘要：
import torch # 正向传播时：开启自动求导的异常侦测 torch.autograd.set_detect_anomaly(True) # 反向传播时：在求导时开启侦测 with torch.autograd.detect_anomaly(): loss.backward() 阅读全文
摘要：
错误： RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 32, 1, 1 阅读全文