grg

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launch different seeds simulateously

I believe you can fix this by adding `gt.reset_root() `at the end of the `BatchRLAlgorithm` constructor. Add it at:` rlkit/core/batch_rl_algorithm.py` line 43 (or in your case `il_batch_rl_algorithm.py`)

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [4, 512, 16, 16]], which is output 0 of ConstantPadNdBackward, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

For me, the error appeared in the pytorch version "1.10.2+cu2". It was caused by calling both ```F.relu``` or ```nn.ReLU()``` (```inplace=False``` didn't fix it). I fixed it by manually implementing relu:...