HRNet-Semantic-Segmentation
HRNet-Semantic-Segmentation copied to clipboard
How to deal with the error: RuntimeError: value cannot be converted to type float without overflow: (0.000353832,-0.000114967)
optimizer.step()
File "/opt/conda/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context return func(*args, **kwargs) File "/opt/conda/lib/python3.6/site-packages/torch/optim/sgd.py", line 112, in step p.add_(d_p, alpha=-group['lr']) RuntimeError: value cannot be converted to type float without overflow: (0.000353832,-0.000114967)
I met the same problem. Have you solved it?