PaddlePaddle / PaddlePaddle/FastDeploy
8卡 h200 部署ERNIE-4.5-VL-424B-A47B-Paddle 失败
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- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 756
- Avg merge
- 19h 28m
- Merged PRs (30d)
- 4
Description
[Hint: 'cudaErrorLaunchFailure'. An exception occurred on the device while executing a kernel. Common causes include dereferencing an invalid device pointerand accessing out of bounds shared memory. Less common cases can be system specific - more information about these cases canbe found in the system specific user guide. This leaves the process in an inconsistent state and any further CUDA work willreturn the same error. To continue using CUDA, the process must be terminated and relaunched.] (at /paddle/paddle/phi/backends/gpu/cuda/cuda_info.cc:317)
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the deployment context in the issue title and the CUDA error reported at /paddle/paddle/phi/backends/gpu/cuda/cuda_info.cc:317. Reproduce the 8-card H200 deployment if the required environment is available, then identify the cause of the launch failure and confirm that ERNIE-4.5-VL-424B-A47B-Paddle deploys successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100