kimyejin2000
commented
1 year ago I found out. there is an error to the script. Please change it too rollout.py (line95) to keys.append(f"robot{idx}_robot-state")
Open SATE001 opened 2 years ago
kimyejin2000
commented
1 year ago I found out. there is an error to the script. Please change it too rollout.py (line95) to keys.append(f"robot{idx}_robot-state")
Hi.
I ran the "simple example" in "Visualizing Rollouts". However, I get the following error: Can anyone please tell me how to deal with it?
python scripts/rollout.py --load_dir runs/Wipe-Panda-JOINT-VELOCITY-SEED17/Wipe_Panda_JOINT_VELOCITY_SEED17_2020_09_21_23_14_02_0000--s-0 --horizon 200 --camera frontview
Traceback (most recent call last): File "scripts/rollout.py", line 107, in
use_gpu=args.gpu,
File "/home/s/wsp/robo_bench/robosuite-benchmark/scripts/util/rlkit_utils.py", line 264, in simulate_policy
video_writer=video_writer,
File "/home/s/wsp/robo_bench/robosuite-benchmark/scripts/util/rlkit_custom.py", line 425, in rollout
a, agent_info = agent.get_action(o)
File "/home/s/wsp/robo_bench/rlkit/rlkit/torch/sac/policies.py", line 134, in get_action
deterministic=True)
File "/home/s/wsp/robo_bench/rlkit/rlkit/torch/sac/policies.py", line 63, in get_action
actions = self.get_actions(obs_np[None], deterministic=deterministic)
File "/home/s/wsp/robo_bench/rlkit/rlkit/torch/sac/policies.py", line 67, in get_actions
return eval_np(self, obs_np, deterministic=deterministic)[0]
File "/home/s/wsp/robo_bench/rlkit/rlkit/torch/core.py", line 18, in eval_np
outputs = module(*torch_args, torch_kwargs)
File "/home/s/wsp/robo_bench/robobench_venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, *kwargs)
File "/home/s/wsp/robo_bench/rlkit/rlkit/torch/sac/policies.py", line 83, in forward
h = self.hidden_activation(fc(h))
File "/home/s/wsp/robo_bench/robobench_venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(input, kwargs)
File "/home/s/wsp/robo_bench/robobench_venv/lib/python3.7/site-packages/torch/nn/modules/linear.py", line 87, in forward
return F.linear(input, self.weight, self.bias)
File "/home/s/wsp/robo_bench/robobench_venv/lib/python3.7/site-packages/torch/nn/functional.py", line 1370, in linear
ret = torch.addmm(bias, input, weight.t())
RuntimeError: size mismatch, m1: [1 x 350], m2: [379 x 256] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:290
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