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When running the Colab:
old, tau=1.0, lambda=1.0 bs 64 --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) [<ipython-input-9-168f548fe4ca>](https://localhost:8080/#) in <cell line: 3>() 1 # Check the correlation of different estimators with the true derivatives as a function of batch size 2 ----> 3 run_corr_exp() 4 plot_corr_exp() 2 frames [<ipython-input-2-9f6565e0a71e>](https://localhost:8080/#) in make_objective(batch_data, v_fn, tau, dice_lambda, use_dice, gamma_weighted) 22 batch_r, batch_dones, batch_mask, ep_returns) = batch_data 23 empty_mask = (1 - batch_mask[:,:-1]).type(torch.ByteTensor) ---> 24 batch_pi_taken[empty_mask] = 1.0 25 log_pi = torch.log(batch_pi_taken) 26 batch_values = v_fn(batch_states).detach() RuntimeError: masked_fill_ only supports boolean masks, but got mask with dtype unsigned char
Maybe you've used an older version of some dependency. If so, I suggest you'd pin the colab to the versions you used.
The text was updated successfully, but these errors were encountered:
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When running the Colab:
Maybe you've used an older version of some dependency. If so, I suggest you'd pin the colab to the versions you used.
The text was updated successfully, but these errors were encountered: