Expected to have finished reduction in the prior iteration before starting a new one

[Tony363]

RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not u sed in producing loss. You can enable unused parameter detection by passing the keyword argument find_unused_parameters=True to torch.nn.parallel.DistributedDataPara llel, and by making sure all forward function outputs participate in calculating loss. If you already have done the above, then the distributed data parallel module wasn't able to locate the output tensors in the return value of your module's forward function. Please include the loss function and the structure of the return value of forward of your module when reporting this issue (e.g. list, dict, iterable). Parameter indices which did not receive grad for rank 0: 130 131

Hi,

I added my own layernorm layer for an additional modality. I am getting the above error. I am wondering if i have to configure the optimizer to find the weights and biases for the additional layer norm layer?

Tony,