[feature] Add debug_dataloader_samples utility to preview decoded dataloader samples (#184) #368
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…face#353) * can only merge to main from dev * Fix UnBoundLocalError in `clm_collator.py` (huggingface#339) * Update clm_collator.py * can only merge to main from dev (huggingface#348) --------- Co-authored-by: Nouamane Tazi <nouamane@huggingface.co> * fix init and init scaling factor and run evals in background (huggingface#349) * InitScalingMethod * InitScalingMethod * run evals in background (huggingface#352) * eval * try adding lightevalrunner to trainer * amend * amend * amend * amend * amend * amend * . * amend * amend * . * qos to low * add nanotron_path * some fix: logs, and config * cp instead of sync * eval_interval * serialize sanity checks * add output dir and s3_save path in the config * fix s3 only if define * fixes --------- Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> --------- Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> --------- Co-authored-by: Connector Switch <c8ef@outlook.com> Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
* deepwiki * Update README.md
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huggingface#346) * [Feature] Implement CUDA event-based timing for improved GPU performance measurement * can only merge to main from dev (huggingface#348) * Fix timer decorator logic: Support both CPU and CUDA timers and update docs * Fix timer decorator logic: support both CPU and CUDA; update docs --------- Co-authored-by: Kabir Grewal <kabirgrewal@Kabirs-MacBook-Pro-5.local> Co-authored-by: Nouamane Tazi <nouamane@huggingface.co> Co-authored-by: Kabir Grewal <kabirgrewal@kabirs-mbp-5.wireless-1x.unc.edu>
* can only merge to main from dev (huggingface#348) * move moe from qwen modeling to src/nn * add groupedmlp * add token permute and unpermute * fix num_tokens_per_expert counting < num_experts * fix init and init scaling factor and run evals in background (huggingface#353) * can only merge to main from dev * Fix UnBoundLocalError in `clm_collator.py` (huggingface#339) * Update clm_collator.py * can only merge to main from dev (huggingface#348) --------- Co-authored-by: Nouamane Tazi <nouamane@huggingface.co> * fix init and init scaling factor and run evals in background (huggingface#349) * InitScalingMethod * InitScalingMethod * run evals in background (huggingface#352) * eval * try adding lightevalrunner to trainer * amend * amend * amend * amend * amend * amend * . * amend * amend * . * qos to low * add nanotron_path * some fix: logs, and config * cp instead of sync * eval_interval * serialize sanity checks * add output dir and s3_save path in the config * fix s3 only if define * fixes --------- Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> --------- Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> --------- Co-authored-by: Connector Switch <c8ef@outlook.com> Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> * inference qwen moe seems to work inference seems good rn * update readme * fix router's weight initialization and wrong hidden size for non-moe mlp in qwen * add source for router weight and router logits in float32 * fixes * . * . * add parametrize grouped mlp in column and row linear * add logging per-param grad norm * fix conversation fail due to buffer on cpu * config_qwen * . * . * fix moe convert config --------- Co-authored-by: Nouamane Tazi <nouamane@huggingface.co> Co-authored-by: Connector Switch <c8ef@outlook.com> Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co> Co-authored-by: zzhhjjj <z785566960@gmail.com> Co-authored-by: nouamanetazi <nouamane98@gmail.com>
* InitScalingMethod * InitScalingMethod * eval * try adding lightevalrunner to trainer * amend * amend * amend * amend * amend * amend * . * amend * amend * . * qos to low * add nanotron_path * some fix: logs, and config * cp instead of sync * eval_interval * serialize sanity checks * add output dir and s3_save path in the config * fix s3 only if define * fixes * add requeue * add wandb with lighteval and fix eval interval * fix this little space :( * folder_path should always have s3 when using s3 (fix consumed tokens issue) * config qwen * . --------- Co-authored-by: elie <97572401+eliebak@users.noreply.github.com> Co-authored-by: “eliebak” <elie.bakouch@huggingface.co>
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What does this PR do?
This PR adds a utility function debug_dataloader_samples() under utils/debug_utils.py.
It allows users to preview a few decoded examples from the first batch of the training DataLoader, which can help ensure that tokenization is working correctly before launching a long training run.
This debug utility addresses #184.
Although another contributor expressed interest in the issue, no progress or maintainer feedback has occurred in the last 3 weeks.
As this feature is simple but useful, I decided to implement and contribute it directly.
How to use
This utility can be optionally called from run_train.py or any other training script to inspect tokenized input samples before training.
Here is an example snippet:
python
from nanotron.utils.debug_utils import debug_dataloader_samples
debug_dataloader_samples(train_dataloader, tokenizer, num_samples=3)
Notes
To avoid a circular import issue between utils.py and distributed.py,
this function is placed in a new module debug_utils.py instead of the main utils.py.
Logging is used instead of
print()to remain consistent with Nanotron’s logging system.This PR replaces a previous one that included unnecessary commits. This version is rebased and clean for easier review.
Fixes #184
Before submitting
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.