Removed assertion for s3 datasets and handled string and object cases #381
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* Update clm_collator.py * can only merge to main from dev (huggingface#348) --------- Co-authored-by: Nouamane Tazi <[email protected]>
…face#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 <[email protected]> Co-authored-by: “eliebak” <[email protected]> --------- Co-authored-by: elie <[email protected]> Co-authored-by: “eliebak” <[email protected]>
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 <[email protected]> Co-authored-by: Nouamane Tazi <[email protected]> Co-authored-by: Kabir Grewal <[email protected]>
* 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 <[email protected]> * 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 <[email protected]> Co-authored-by: “eliebak” <[email protected]> --------- Co-authored-by: elie <[email protected]> Co-authored-by: “eliebak” <[email protected]> --------- Co-authored-by: Connector Switch <[email protected]> Co-authored-by: elie <[email protected]> Co-authored-by: “eliebak” <[email protected]> * 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 <[email protected]> Co-authored-by: Connector Switch <[email protected]> Co-authored-by: elie <[email protected]> Co-authored-by: “eliebak” <[email protected]> Co-authored-by: zzhhjjj <[email protected]> Co-authored-by: nouamanetazi <[email protected]>
* 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 <[email protected]> Co-authored-by: “eliebak” <[email protected]>
* 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) * fix resuming with new data mixture * offsets must be in samples not tokens * sanity check local files when dataset_read_path * better error for new stage * rmsnorm * sliding window * causal SWA * Revert "rmsnorm" This reverts commit 17dad0a. * rope_seq_len_interpolation_factor * logmixin for intermediate tensors + CP + consumed_token shenanigans when resuming training (huggingface#365) * logmixin * context parallelism (llama3 ring attn) + consumed_token shenanigans (huggingface#366) * training works * llama3 ring attn * llama3 ring attn * llama3 ring attn * fix position_ids (make them global) * rope_seq_len_interpolation_factor assert * . * . * fix rope and cp_pg * fixed consumed_tokens log --------- Co-authored-by: elie <[email protected]> Co-authored-by: “eliebak” <[email protected]>
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What does this PR do?
The issue was that the code was trying to check if "s3" was in dataset.folder_path, but folder_path was a DataFolder object instead of a string. The fix now handles both cases, if it's already a string, it uses it directly; otherwise, it converts the object to a string. The assertion was already listed as "TODO: Remove".
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@NouamaneTazi My 4 pull requests together actually end up fixing pretraining with the example script with multiple different pretraining data stages.