Comments (8)
Hi,
Can you please help me with running the run_evaluation.sh file. Like how you edited the file and where you placed the ckpt file.
Thank You!
from tcp.
Hi, your 2.3G GPU memory usage is expected. In my case, the python script has a ~180% CPU usage and the CarlaUE4 has a ~200% CPU usage.
from tcp.
Hi, your 2.3G GPU memory usage is expected. In my case, the python script has a ~180% CPU usage and the CarlaUE4 has a ~200% CPU usage.
@WPH-commit
Thanks for the information!
But still I'm confused about why it utilizes so much CPU rather than GPU in my case. Since my evaluation in running on a shared server, it's kind of unaffordable for a single process using up the CPU.
Please let me know if I need to provide more information. Thx!
from tcp.
Hi,
Can you please help me with running the run_evaluation.sh file. Like how you edited the file and where you placed the ckpt file.
Thank You!
@sqb2145
In my case, I edited the 'CARLA_ROOT' and 'TEAM_CONFIG' in the script.
For the ckpt file, I put it at '${TCP_ROOT}/xxx/xx.ckpt', so the 'TEAM_CONFIG' is edited to 'xxx/xx.ckpt'
Hope this will help you :)
from tcp.
But still I'm confused about why it utilizes so much CPU rather than GPU in my case. Since my evaluation in running on a shared server, it's kind of unaffordable for a single process using up the CPU.
Could you check the GPU usage for the Carla server? It should be around 1G.
from tcp.
But still I'm confused about why it utilizes so much CPU rather than GPU in my case. Since my evaluation in running on a shared server, it's kind of unaffordable for a single process using up the CPU.
Could you check the GPU usage for the Carla server? It should be around 1G.
@WPH-commit
Yes CARLA server basically run as you said, with about 1G memory, 200% CPU and about 30% GPU.
from tcp.
Hi,
Can you please help me with running the run_evaluation.sh file. Like how you edited the file and where you placed the ckpt file.
Thank You!@sqb2145 In my case, I edited the 'CARLA_ROOT' and 'TEAM_CONFIG' in the script. For the ckpt file, I put it at '${TCP_ROOT}/xxx/xx.ckpt', so the 'TEAM_CONFIG' is edited to 'xxx/xx.ckpt' Hope this will help you :)
Hi,
Thank you for your reply. I think the issue I'm having isn't because of placing the ckpt file in the wrong directory. I'll try to figure it out. Thanks a lot! :)
from tcp.
Hi, your 2.3G GPU memory usage is expected. In my case, the python script has a ~180% CPU usage and the CarlaUE4 has a ~200% CPU usage.
@WPH-commit Thanks for the information! But still I'm confused about why it utilizes so much CPU rather than GPU in my case. Since my evaluation in running on a shared server, it's kind of unaffordable for a single process using up the CPU. Please let me know if I need to provide more information. Thx!
I think this problem is not because the model, but the Carla Simulator. When do the open-loop training, it really faster than eval. But when we do close-loop evaluation, it is so slow. Actually, I also do not have the solution to accelerate the simulation process,sad.
from tcp.
Related Issues (20)
- 数据训练
- Figures 2 and 3 of the supplementary material HOT 1
- data collection HOT 1
- filter_data HOT 2
- the time limit for agent blocking HOT 2
- failure example HOT 1
- rgb size HOT 1
- speed and steer
- Visualization waypoint HOT 9
- Question about data collection HOT 2
- Confirmation on Dataset HOT 1
- leaderboard list
- TCP-SB HOT 1
- training epochs HOT 1
- error HOT 1
- Could you please provide the script to generate town06_addition? HOT 2
- Collision avoidance method HOT 1
- Question about speed / 12. HOT 2
- How to integrate a TCP agent into the new version of Carla(0.9.14)? HOT 5
- AssertionError: Expected image to have shape (height, width, [channels]), got shape (). HOT 3
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