making cifar data loader also return PIL Image #10
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zhiqwang
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Jan 19, 2022
Fixing test_detection_model_trainable_backbone_layers
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pmeier
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Sep 6, 2022
…torch#10) * fix iterate_one_epoch to avoid memory overflow and empty datasets * use rglob in bench_decoding * use perf_counter instead of time * remove error for empty datasets
rajveerb
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Nov 30, 2023
* [llm] Init draft NVIDIA reference * [LLM] Add exact HPs used to match NVIDIA's convergence curves * [LLM] Add data preprocessing steps and remove dropout * [LLM] fix eval, add ckpt load util, remove unnecessary files * [LLM] Update data preprocessing stage in README * Full validation and google settings * Apply review comments * Anmolgupt/nvidia llm reference update (pytorch#3) * Update Nvidia LLM reference code version Co-authored-by: Anmol Gupta <anmolg@nvidia.com> * fixes to imports (pytorch#5) Co-authored-by: Anmol Gupta <14880251+anmolgupt@users.noreply.github.com> * distributed checkpoint and mlperf logger support (pytorch#6) * readme and mllogger keywords update (pytorch#7) Co-authored-by: Anmol Gupta <anmolg@nvidia.com> * Update fp32_checkpoint_checksum.log * Update README.md * Update README.md * Update README.md * mlperf logger keywords update (pytorch#8) Co-authored-by: Anmol Gupta <anmolg@nvidia.com> * [LLM] Create framework folder * [LLM] Update README to follow reference template * Describe LLM checkpoint format in README (pytorch#9) Describe LLM checkpoint format in README * [LLM] Readme updates, small fixes * readme update and run script eval update (pytorch#10) Co-authored-by: Anmol Gupta <anmolg@nvidia.com> --------- Co-authored-by: Mikołaj Błaż <mblaz@nvidia.com> Co-authored-by: anmolgupt <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: Anmol Gupta <anmolg@nvidia.com> Co-authored-by: mikolajblaz <mikolajblaz@users.noreply.github.com>
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To make things consistent among all datasets, making the CIFAR data loaders return a PIL Image as well.