Comments (5)
Same here, none of this is working on the Xavier. I understand this is all bleeding edge stuff, but it would be awesome if you could make your installs hardware independent! Otherwise this will not scale at all. Thanks!
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This does not work on Xavier NX either. Any plan to revise?
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from jetson-reinforcement.
The issue stems from versions of PyTorch newer than 0.3 breaking backwards compatibility, so the RL algorithm doesnt work on newer versions. I don't personally plan to update it, but I do keep jetson-inference updated. Since I made this example tutorial there have been more comprehensive RL libraries released - for example see:
https://discourse.ros.org/t/a-toolkit-for-reinforcement-learning-using-ros-and-gazebo/442
https://spinningup.openai.com/en/latest/
from jetson-reinforcement.
The issue stems from versions of PyTorch newer than 0.3 breaking backwards compatibility, so the RL algorithm doesnt work on newer versions. I don't personally plan to update it, but I do keep jetson-inference updated. Since I made this example tutorial there have been more comprehensive RL libraries released - for example see:
https://discourse.ros.org/t/a-toolkit-for-reinforcement-learning-using-ros-and-gazebo/442
PERFECT! Thanks a lot for the links. I will take a look.
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Related Issues (20)
- Error running the Gazebo Arm example HOT 2
- How to install conda in TX2?
- Only for TX2? Can i install on TK1?
- CUDA too many resources
- jetson-reinforcement/build/pytorch/torch/_thnn/utils.py:1: RuntimeWarning: Parent module 'torch._thnn' not found while handling absolute import
- problem building pytorch with jetson tx2 HOT 7
- Patches needed to make this work on L4T 4.4.38-tegra HOT 1
- I need pytorch == 0.3.1
- opencv luarocks install camera
- CMakePreBuild.sh
- run ./gazebo-arm.sh
- Error with Jetson Nano HOT 1
- Error Jetson nano to launch gym-DQN.py
- Issue compiling in Jetson TX2
- Error running catch executable
- torch7 move to ATen? HOT 2
- Building from Source fails HOT 1
- Makefile:83: recipe for target 'all' failed
- Supported platform HOT 7
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