[single_stage_detector] Updated run_and_time.sh for customizing number of GPUs on single node#808
Merged
ShriyaRishab merged 3 commits intoAug 11, 2025
Conversation
|
MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅ |
Contributor
Author
|
recheck |
1 similar comment
Contributor
Author
|
recheck |
ShriyaRishab
reviewed
Aug 8, 2025
| EVALBATCHSIZE=${EVALBATCHSIZE:-${BATCHSIZE}} | ||
| NUMEPOCHS=${NUMEPOCHS:-30} | ||
| LOG_INTERVAL=${LOG_INTERVAL:-20} | ||
| DATASET=${DATASET:-"openimages-mlperf"} |
Contributor
There was a problem hiding this comment.
MLPerf requires us to use the same dataset as in the reference to ensure results are comparable across submissions. So we should not make it a changeable parameter
Contributor
Author
There was a problem hiding this comment.
Understood. I've reverted the dataset customization commit.
This reverts commit c37ae36.
jameslai-dev
changed the title
jameslai-dev
changed the title
ShriyaRishab
approved these changes
Aug 11, 2025
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
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Dear MLCommons team,
I appreciate your work, which has helped me verify the training performance after applying hardware resource virtualization to our bare-metal server.
I want to validate the model training performance in a reasonable time on both virtualized and non-virtualized environments. However, this is very challenging with the default Open Images dataset and our relatively small GPUs in a single node. Thus, I made some changes to the performance evaluation script, which may help others with similar use cases.
This pull request modifies the
run_and_time.shof SSD training, and introduces the following changes:AddedDATASETenvironment variable for dataset customization. This allows the script to run the training script with datasets other than the default Open Image dataset. (For example, I use thecocodataset.)(Reverted: [single_stage_detector] Updated run_and_time.sh for customizing number of GPUs on single node #808 (comment))
--nproc_per_node=1oftorchruncommand line to--nproc_per_node=${DGXNGPU}. This enables the script to do training with more GPUs on a single node.