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View Code? Open in Web Editor NEWA simple implementation of Generative Adversarial Imitation Learning with PyTorch
License: MIT License
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
License: MIT License
I got this error(ubuntu 20.04 ver)
(base) codms@codms-T-Series:~/gail-pytorch$ python train.py --env_name=BipedalWalker-v3
/home/codms/gail-pytorch/models/nets.py:128: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /croot/pytorch_1686931851744/work/torch/csrc/utils/tensor_new.cpp:245.)
state = FloatTensor(state)
Traceback (most recent call last):
File "/home/codms/gail-pytorch/train.py", line 98, in
main(**vars(args))
File "/home/codms/gail-pytorch/train.py", line 65, in main
results = model.train(env, expert)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/codms/gail-pytorch/models/gail.py", line 80, in train
act = expert.act(ob)
^^^^^^^^^^^^^^
File "/home/codms/gail-pytorch/models/nets.py", line 128, in act
state = FloatTensor(state)
^^^^^^^^^^^^^^^^^^
ValueError: expected sequence of length 24 at dim 1 (got 0)
Hello, can I generate expert data for CartPole environment? If so how can I do it?
I am getting an error with all three environments listed in config.json
for example when I run
python train.py --env_name=Pendulum-v0
I get this error:
ml/lib/python3.9/site-packages/gym/envs/registration.py", line 251, in _check_version_exists
raise error.DeprecatedEnv(
gym.error.DeprecatedEnv: Environment version v0 for `Pendulum` is deprecated. Please use `Pendulum-v1` instead.
thank you for your service ('-')7
When I run the train.py as your instruction, the following error occurred.
$ python3 train.py --env_name=BipedalWalker-v3
Traceback (most recent call last):
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/__init__.py", line 172, in _load_global_deps
ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
File "/usr/lib/python3.8/ctypes/__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
OSError: /home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/lib/../../nvidia/cublas/lib/libcublas.so.11: undefined symbol: cublasLtGetStatusString, version libcublasLt.so.11
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 6, in <module>
import torch
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/__init__.py", line 217, in <module>
_load_global_deps()
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/__init__.py", line 178, in _load_global_deps
_preload_cuda_deps()
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/__init__.py", line 158, in _preload_cuda_deps
ctypes.CDLL(cublas_path)
File "/usr/lib/python3.8/ctypes/__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
OSError: /home/dl/GAIL/GAIL/lib/python3.8/site-packages/nvidia/cublas/lib/libcublas.so.11: undefined symbol: cublasLtGetStatusString, version libcublasLt.so.11
Please let me know how to fix it.
When I run
python train.py --env_name=CartPole-v1
I get this error
File "gail-pytorch/models/nets.py", line 128, in act
state = FloatTensor(state)
ValueError: expected sequence of length 4 at dim 1 (got 0)
When I run the train.py script along with your instruction, the following error occurred.
python3 train.py --env_name=BipedalWalker-v3
/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/cuda/__init__.py:146: UserWarning:
NVIDIA GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Traceback (most recent call last):
File "train.py", line 98, in <module>
main(**vars(args))
File "train.py", line 54, in main
expert = Expert(
File "/home/dl/GAIL/gail-pytorch/models/nets.py", line 120, in __init__
self.pi = PolicyNetwork(self.state_dim, self.action_dim, self.discrete)
File "/home/dl/GAIL/gail-pytorch/models/nets.py", line 18, in __init__
Linear(state_dim, 50),
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 101, in __init__
self.reset_parameters()
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 107, in reset_parameters
init.kaiming_uniform_(self.weight, a=math.sqrt(5))
File "/home/dl/GAIL/GAIL/lib/python3.8/site-packages/torch/nn/init.py", line 412, in kaiming_uniform_
return tensor.uniform_(-bound, bound)
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Please let me know how to fix it.
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