-
Notifications
You must be signed in to change notification settings - Fork 25.7k
fix for launching kernel invalid config error when calling embedding … #133346
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#130994) …with large index Fixes #130806 When an output size of 2147483648 (=131072*16384) is expected in the above issue, it throwed out the following error: RuntimeError: HIP error: invalid configuration argument What happened was that the second parameter passed to hipLaunchKernel was crazy {2147483648,1,1}. Found two issues in the Indexing.cu: 1: ptrdiff_t was used but it is signed int, outTotalSize >= 2147483648 can cause overflow when doing [this](https://github.com/pytorch/pytorch/blame/39493aa93419532957e6e5ee97cae842b53b8b59/aten/src/ATen/native/cuda/Indexing.cu#L1367): 2: On ROCm, std::min -> ::min did not work as expected when outTotalSize>=2147483648 As the result, 2147483648 was sent to hipLaunchKernel which the GPU does not support such a huge number since this number specifies the number of threads per block. The original code intended to set 128 threads per block, though this is debatable as the perf would not good for latest powerful GPUs (a TODO item to update for perf maybe?) , but at least it would not cause `invalid configuration argument` error. [Test] Run the same code snippet in the [issue](#130806), and print the output, its dim and numel(), which looks like below now: ``` output=tensor([[ 0.4044, -0.0244, -0.6865, ..., -0.7800, 0.1175, 1.6726], [-1.0866, -0.1609, 0.3538, ..., 1.9105, 0.7882, 1.1583], [-2.2079, 0.3736, 0.3610, ..., -0.2658, -0.0459, 1.3077], ..., [ 0.8753, -0.7482, -0.1978, ..., 0.9016, 1.1501, -0.5178], [-1.5845, -0.6277, 1.4520, ..., 0.5733, -2.1198, -0.0915], [-0.6310, -1.0239, -0.1910, ..., 0.4309, 0.1630, 0.3239]], device='cuda:0'), dim=2, numel=2147483648 ``` Added a large tensor unit test too. ``` /pytorch# pytest test/nn/test_embedding.py -k test_large_tensors ================================================================================== test session starts =================================================================================== platform linux -- Python 3.9.19, pytest-7.3.2, pluggy-1.4.0 rootdir: /dockerx/development/pytorch configfile: pytest.ini plugins: flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, cpp-2.3.0, hypothesis-5.35.1 collected 288 items / 287 deselected / 1 selected Running 1 items in this shard test/nn/test_embedding.py . [100%] =========================================================================== 1 passed, 287 deselected in 3.16s ============================================================================ ``` Pull Request resolved: #130994 Approved by: https://github.com/jeffdaily, https://github.com/xw285cornell (cherry picked from commit 637ab85)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/133346
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit be3eac5 with merge base b66e3f0 ( NEW FAILURE - The following job has failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
hongxiayang
approved these changes
Aug 13, 2024
|
This PR was generated automatically by the pytorchbot command to cherry pick this fix to release/2.4 #130994 |
pruthvistony
pushed a commit
to ROCm/pytorch
that referenced
this pull request
Aug 15, 2024
pytorch#133346) fix for launching kernel invalid config error when calling embedding … (pytorch#130994) …with large index Fixes pytorch#130806 When an output size of 2147483648 (=131072*16384) is expected in the above issue, it throwed out the following error: RuntimeError: HIP error: invalid configuration argument What happened was that the second parameter passed to hipLaunchKernel was crazy {2147483648,1,1}. Found two issues in the Indexing.cu: 1: ptrdiff_t was used but it is signed int, outTotalSize >= 2147483648 can cause overflow when doing [this](https://github.com/pytorch/pytorch/blame/39493aa93419532957e6e5ee97cae842b53b8b59/aten/src/ATen/native/cuda/Indexing.cu#L1367): 2: On ROCm, std::min -> ::min did not work as expected when outTotalSize>=2147483648 As the result, 2147483648 was sent to hipLaunchKernel which the GPU does not support such a huge number since this number specifies the number of threads per block. The original code intended to set 128 threads per block, though this is debatable as the perf would not good for latest powerful GPUs (a TODO item to update for perf maybe?) , but at least it would not cause `invalid configuration argument` error. [Test] Run the same code snippet in the [issue](pytorch#130806), and print the output, its dim and numel(), which looks like below now: ``` output=tensor([[ 0.4044, -0.0244, -0.6865, ..., -0.7800, 0.1175, 1.6726], [-1.0866, -0.1609, 0.3538, ..., 1.9105, 0.7882, 1.1583], [-2.2079, 0.3736, 0.3610, ..., -0.2658, -0.0459, 1.3077], ..., [ 0.8753, -0.7482, -0.1978, ..., 0.9016, 1.1501, -0.5178], [-1.5845, -0.6277, 1.4520, ..., 0.5733, -2.1198, -0.0915], [-0.6310, -1.0239, -0.1910, ..., 0.4309, 0.1630, 0.3239]], device='cuda:0'), dim=2, numel=2147483648 ``` Added a large tensor unit test too. ``` /pytorch# pytest test/nn/test_embedding.py -k test_large_tensors ================================================================================== test session starts =================================================================================== platform linux -- Python 3.9.19, pytest-7.3.2, pluggy-1.4.0 rootdir: /dockerx/development/pytorch configfile: pytest.ini plugins: flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, cpp-2.3.0, hypothesis-5.35.1 collected 288 items / 287 deselected / 1 selected Running 1 items in this shard test/nn/test_embedding.py . [100%] =========================================================================== 1 passed, 287 deselected in 3.16s ============================================================================ ``` Pull Request resolved: pytorch#130994 Approved by: https://github.com/jeffdaily, https://github.com/xw285cornell (cherry picked from commit 637ab85) Co-authored-by: hongxyan <hongxyan@amd.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
…with large index
Fixes #130806
When an output size of 2147483648 (=131072*16384) is expected in the above issue, it throwed out the following error:
RuntimeError: HIP error: invalid configuration argument
What happened was that the second parameter passed to hipLaunchKernel was crazy {2147483648,1,1}.
Found two issues in the Indexing.cu:
1: ptrdiff_t was used but it is signed int, outTotalSize >= 2147483648 can cause overflow when doing this:
2: On ROCm, std::min -> ::min did not work as expected when outTotalSize>=2147483648
As the result, 2147483648 was sent to hipLaunchKernel which the GPU does not support such a huge number since this number specifies the number of threads per block. The original code intended to set 128 threads per block, though this is debatable as the perf would not good for latest powerful GPUs (a TODO item to update for perf maybe?) , but at least it would not cause
invalid configuration argumenterror.[Test]
Run the same code snippet in the issue, and print the output, its dim and numel(), which looks like below now:
Added a large tensor unit test too.