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2023-04-20 16:11:17
  File "/home/linyue/InformationDesignMARL/exp_reaching_goals/../exp_reaching_goals/agent_formal_constrained.py", line 357, in choose_action
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    return self.actor.get_a_and_pi(input)
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  File "/home/linyue/InformationDesignMARL/exp_reaching_goals/network.py", line 65, in get_a_and_pi
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    a_prob = self.softmax(self.forward(input))
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  File "/home/linyue/InformationDesignMARL/exp_reaching_goals/network.py", line 61, in forward
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    y2 = self.output_layer(y1)
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  File "/home/linyue/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
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    return forward_call(*input, **kwargs)
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  File "/home/linyue/anaconda3/lib/python3.9/site-packages/torch/nn/modules/container.py", line 204, in forward
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    input = module(input)
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  File "/home/linyue/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
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    return forward_call(*input, **kwargs)
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  File "/home/linyue/anaconda3/lib/python3.9/site-packages/torch/nn/modules/linear.py", line 114, in forward
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    return F.linear(input, self.weight, self.bias)
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torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 1; 23.70 GiB total capacity; 9.35 GiB already allocated; 3.88 MiB free; 10.13 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF