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I have completed all the kernel tests on the A800 GPU(x2), and all kernels can pass correctly.Can you review this PR? @WoosukKwon |
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@WoosukKwon Are there any issues with this PR? |
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Dec 27, 2023
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Hi @jeejeelee thanks for submitting the PR. We've not noticed this bug since the device id is always 0 in vLLM. However, I agree that this change would make the kernel more portable.
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| #include <torch/extension.h> | |||
| #include <ATen/cuda/CUDAContext.h> | |||
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| #include <torch/extension.h> | |||
| #include <c10/cuda/CUDAGuard.h> | |||
| #include "dispatch_utils.h" | |||
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style nit:
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| #include <torch/extension.h> | |
| #include <ATen/cuda/CUDAContext.h> | |
| #include <torch/extension.h> | |
| #include <c10/cuda/CUDAGuard.h> | |
| #include "dispatch_utils.h" | |
| #include <torch/extension.h> | |
| #include <ATen/cuda/CUDAContext.h> | |
| #include <c10/cuda/CUDAGuard.h> | |
| #include "dispatch_utils.h" |
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@WoosukKwon Thank you for your review. I have completed the following modifications:
Please review again |
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Jan 3, 2024
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@jeejeelee LGTM! Thanks for the PR and apologies for the delayed review. We got many PRs last month and didn't have enough bandwidth due to the holidays. 😅
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…m-project#1959) Signed-off-by: Youlei Yang <youlei.yang@intel.com>
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While assessing the effectiveness of the RMSNorm operator, I observed that executing this operator on non-zero GPU resulted in a 'RuntimeError: CUDA error: an illegal memory access was encountered.'
Upon further investigation through debugging, I found that cause as the absence of device guards, most cuda kernels have the same issues .
I have addressed the issue by incorporating device guards for all kernels. Additionally, I have augmented the kernel tests by including device id,such as in the test_activationprovided