32fa5cfaf3
* fix gpu init after removing debug print in mpu Signed-off-by: ericharper <complex451@gmail.com> * add fused_adam Signed-off-by: ericharper <complex451@gmail.com> * check ds is not none before logging len Signed-off-by: ericharper <complex451@gmail.com> * set fp16 arg to true and fix enum conflict Signed-off-by: ericharper <complex451@gmail.com> * make fp16 arg configurable Signed-off-by: ericharper <complex451@gmail.com> * add grad clip from megatron Signed-off-by: ericharper <complex451@gmail.com> * Linear warmup with cosine annealing and constant holding (#2846) * Testing cosine schedule Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Style fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * More fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * update config for constant steps in schedule Signed-off-by: ericharper <complex451@gmail.com> * temporarily import enum from megatron Signed-off-by: ericharper <complex451@gmail.com> * add grad clip for fp32 Signed-off-by: ericharper <complex451@gmail.com> * update check for _del_model_without_trainer Signed-off-by: ericharper <complex451@gmail.com> * updating restore for model parallel Signed-off-by: ericharper <complex451@gmail.com> * add predict script Signed-off-by: ericharper <complex451@gmail.com> * update test iters Signed-off-by: ericharper <complex451@gmail.com> * add barrier Signed-off-by: ericharper <complex451@gmail.com> * return if clip_val is 0 or None Signed-off-by: ericharper <complex451@gmail.com> * when using amp clip grads after they are unscaled Signed-off-by: ericharper <complex451@gmail.com> * make native amp scaler hyperparams configurable Signed-off-by: ericharper <complex451@gmail.com> * (1) nvfuser, (2) amp-casting decoration (#2894) * (1) nvfuser, (2) amp-casting decoration Signed-off-by: Sangkug Lym <slym@nvidia.com> * support bf16 Signed-off-by: Sangkug Lym <slym@nvidia.com> * update package info Signed-off-by: ericharper <complex451@gmail.com> * add set device to constructor Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * [BigNLP] Remove megatron-lm dependency. (#2910) * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * update megatron_init Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * update process batch Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * add megatron clip_grad Signed-off-by: ericharper <complex451@gmail.com> * trying to resolve circular import error Signed-off-by: ericharper <complex451@gmail.com> * rename file Signed-off-by: ericharper <complex451@gmail.com> * remove non-gpt models and datasets from __init__ files Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * clean config Signed-off-by: ericharper <complex451@gmail.com> * update MegatronDataset Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * rename fp16 and bf16 flags to fused_softmax_input_in_fp16/bf16 Signed-off-by: ericharper <complex451@gmail.com> * rename to fused_fp16 Signed-off-by: ericharper <complex451@gmail.com> * add fused_fp16 arg to LayerNorm calls Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix import Signed-off-by: ericharper <complex451@gmail.com> * update arg Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * Adding complete method to MegatronGPTModel (#2935) Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * make ffn_hidden_size mandatory Signed-off-by: ericharper <complex451@gmail.com> * Manually migrating timing of step into branch (#2937) * 1. Manually migrating timing of step into branch. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated file name and content. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated to latest code. Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * remove unused imports Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * check fused_fp16 and fused_bf16 are not both True Signed-off-by: ericharper <complex451@gmail.com> * update predict script for model parallel .nemo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@users.noreply.github.com> Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * NVfuser (#2943) * activation checkpoint recompute Signed-off-by: Sangkug Lym <slym@nvidia.com> * selective nvfuser setup * Megatron gpt bfloat support (#2926) * Save/restore fix Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Another merge Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Bf16 args in init Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Set precision Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove debug stuff Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * add bf16 casting decorator Signed-off-by: Sangkug Lym <slym@nvidia.com> * Bfloat layernorm propagation Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * activation checkpoint recompute Signed-off-by: Sangkug Lym <slym@nvidia.com> * selective nvfuser setup * More arg removal Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove BERTDataset Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * update to latest apex and patch transformer autocast Signed-off-by: ericharper <complex451@gmail.com> Co-authored-by: Sangkug Lym <slym@nvidia.com> Co-authored-by: ericharper <complex451@gmail.com> * don't set jit for bf16 Signed-off-by: ericharper <complex451@gmail.com> * replace apex.mpu Signed-off-by: ericharper <complex451@gmail.com> * fix grad clip Signed-off-by: ericharper <complex451@gmail.com> * NVFuser fixes (#2951) * Fuser fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove dummy handler Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove PTL plugin based logic for fusion Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * remove duplicated file Signed-off-by: ericharper <complex451@gmail.com> * typo (#2960) Signed-off-by: ericharper <complex451@gmail.com> * [BigNLP] Script to convert GPT checkpoint to .nemo (#2958) * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * update megatron_init Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * update process batch Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * add megatron clip_grad Signed-off-by: ericharper <complex451@gmail.com> * trying to resolve circular import error Signed-off-by: ericharper <complex451@gmail.com> * rename file Signed-off-by: ericharper <complex451@gmail.com> * remove non-gpt models and datasets from __init__ files Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * clean config Signed-off-by: ericharper <complex451@gmail.com> * update MegatronDataset Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * rename fp16 and bf16 flags to fused_softmax_input_in_fp16/bf16 Signed-off-by: ericharper <complex451@gmail.com> * rename to fused_fp16 Signed-off-by: ericharper <complex451@gmail.com> * add fused_fp16 arg to LayerNorm calls Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix import Signed-off-by: ericharper <complex451@gmail.com> * update arg Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * Adding complete method to MegatronGPTModel (#2935) Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * make ffn_hidden_size mandatory Signed-off-by: ericharper <complex451@gmail.com> * Manually migrating timing of step into branch (#2937) * 1. Manually migrating timing of step into branch. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated file name and content. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated to latest code. Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * remove unused imports Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * check fused_fp16 and fused_bf16 are not both True Signed-off-by: ericharper <complex451@gmail.com> * update predict script for model parallel .nemo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * add script to convert .ckpt to .nemo Signed-off-by: ericharper <complex451@gmail.com> * in progress Signed-off-by: ericharper <complex451@gmail.com> * update Signed-off-by: ericharper <complex451@gmail.com> * convert mp checkpoints to nemo Signed-off-by: ericharper <complex451@gmail.com> * update help Signed-off-by: ericharper <complex451@gmail.com> * add safeguard for model parallel save_to Signed-off-by: ericharper <complex451@gmail.com> * adjust NLPModel save_to to be safer for model parallel Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@users.noreply.github.com> Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * [BigNLP] Update GPT evaluation to work with tensor model parallel (#2959) * in progress Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add request dataset Signed-off-by: ericharper <complex451@gmail.com> * tokenize request Signed-off-by: ericharper <complex451@gmail.com> * in progress Signed-off-by: ericharper <complex451@gmail.com> * able to run Signed-off-by: ericharper <complex451@gmail.com> * reduce logits Signed-off-by: ericharper <complex451@gmail.com> * capture response Signed-off-by: ericharper <complex451@gmail.com> * squeeze and unsqueeze Signed-off-by: ericharper <complex451@gmail.com> * handle non model parallel case Signed-off-by: ericharper <complex451@gmail.com> * clean imports Signed-off-by: ericharper <complex451@gmail.com> * add file Signed-off-by: ericharper <complex451@gmail.com> * convert logits to log_probs Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * rename logits to log_probs Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * add megatron gpt pretraining Signed-off-by: ericharper <complex451@gmail.com> * add megatron gpt pretraining Signed-off-by: ericharper <complex451@gmail.com> * add megatron gpt pretraining Signed-off-by: ericharper <complex451@gmail.com> * updating to work with latest megatron Signed-off-by: ericharper <complex451@gmail.com> * updating to work with latest megatron Signed-off-by: ericharper <complex451@gmail.com> * update _del_model Signed-off-by: ericharper <complex451@gmail.com> * adding gpt model Signed-off-by: ericharper <complex451@gmail.com> * adding gpt model Signed-off-by: ericharper <complex451@gmail.com> * adding gpt model Signed-off-by: ericharper <complex451@gmail.com> * instantiate GPTmodel Signed-off-by: ericharper <complex451@gmail.com> * adding build dataset Signed-off-by: ericharper <complex451@gmail.com> * build megatron dataset in .setup Signed-off-by: ericharper <complex451@gmail.com> * setup dataloader Signed-off-by: ericharper <complex451@gmail.com> * add vocab_file and merge_file to megatron init Signed-off-by: ericharper <complex451@gmail.com> * add forward Signed-off-by: ericharper <complex451@gmail.com> * add train loss Signed-off-by: ericharper <complex451@gmail.com> * add optimizer Signed-off-by: ericharper <complex451@gmail.com> * add exp_manager Signed-off-by: ericharper <complex451@gmail.com> * multi-gpu is working Signed-off-by: ericharper <complex451@gmail.com> * adding val loop Signed-off-by: ericharper <complex451@gmail.com> * style Signed-off-by: ericharper <complex451@gmail.com> * adding val loop Signed-off-by: ericharper <complex451@gmail.com> * fix ranks Signed-off-by: ericharper <complex451@gmail.com> * fix model parallel checkpoint saving Signed-off-by: ericharper <complex451@gmail.com> * fix _del_model Signed-off-by: ericharper <complex451@gmail.com> * added megatron batch sampler Signed-off-by: ericharper <complex451@gmail.com> * try to fix num steps Signed-off-by: ericharper <complex451@gmail.com> * add wandb to config Signed-off-by: ericharper <complex451@gmail.com> * log lr Signed-off-by: ericharper <complex451@gmail.com> * add warmup ratio to config Signed-off-by: ericharper <complex451@gmail.com> * update configs Signed-off-by: ericharper <complex451@gmail.com> * update configs Signed-off-by: ericharper <complex451@gmail.com> * add cpu init to args Signed-off-by: ericharper <complex451@gmail.com> * update config Signed-off-by: ericharper <complex451@gmail.com> * update config Signed-off-by: ericharper <complex451@gmail.com> * Initial megatron dataset port Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Fix merge conflicts Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * License fixes and megatron model porting Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Style fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * More fixes to import from nemo rather than megatron Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Fix circular imports Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Style fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Revert config file Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Restructure further to avoid circular imports Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * add Makefile Signed-off-by: ericharper <complex451@gmail.com> * Add megatron modules Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * add license Signed-off-by: ericharper <complex451@gmail.com> * Port from latest megatron Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * update cfg Signed-off-by: ericharper <complex451@gmail.com> * update config Signed-off-by: ericharper <complex451@gmail.com> * add _del_model_without_trainer Signed-off-by: ericharper <complex451@gmail.com> * add data preprocessing script Signed-off-by: ericharper <complex451@gmail.com> * update config Signed-off-by: ericharper <complex451@gmail.com> * use apex mpu Signed-off-by: ericharper <complex451@gmail.com> * replace print_rank_0 with nemo utils logging Signed-off-by: ericharper <complex451@gmail.com> * use apex mpu Signed-off-by: ericharper <complex451@gmail.com> * use apex mpu Signed-off-by: ericharper <complex451@gmail.com> * add use_cpu_initialization Signed-off-by: ericharper <complex451@gmail.com> * fixing autoresume in progress Signed-off-by: ericharper <complex451@gmail.com> * properly removing last checkpoint Signed-off-by: ericharper <complex451@gmail.com> * log consumed samples Signed-off-by: ericharper <complex451@gmail.com> * fix mp autoresume Signed-off-by: ericharper <complex451@gmail.com> * add NLPSaveRestoreConnector Signed-off-by: ericharper <complex451@gmail.com> * Megatron GPT training with NeMo tokenizers (#2818) * Update files from megatron repo Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove non NLP data related files from megatron Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Merge megatron and nemo tokenizers Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove get_tokenizer() calls from gpt model Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Update tokenizer yaml config Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * add todo Signed-off-by: ericharper <complex451@gmail.com> * update config Signed-off-by: ericharper <complex451@gmail.com> * make init_method_std configurable Signed-off-by: ericharper <complex451@gmail.com> * make gpu init work by setting random seed earlier Signed-off-by: ericharper <complex451@gmail.com> * fix gpu init after removing debug print in mpu Signed-off-by: ericharper <complex451@gmail.com> * add fused_adam Signed-off-by: ericharper <complex451@gmail.com> * check ds is not none before logging len Signed-off-by: ericharper <complex451@gmail.com> * set fp16 arg to true and fix enum conflict Signed-off-by: ericharper <complex451@gmail.com> * make fp16 arg configurable Signed-off-by: ericharper <complex451@gmail.com> * add grad clip from megatron Signed-off-by: ericharper <complex451@gmail.com> * Linear warmup with cosine annealing and constant holding (#2846) * Testing cosine schedule Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Style fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * More fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * update config for constant steps in schedule Signed-off-by: ericharper <complex451@gmail.com> * temporarily import enum from megatron Signed-off-by: ericharper <complex451@gmail.com> * add grad clip for fp32 Signed-off-by: ericharper <complex451@gmail.com> * update check for _del_model_without_trainer Signed-off-by: ericharper <complex451@gmail.com> * updating restore for model parallel Signed-off-by: ericharper <complex451@gmail.com> * add predict script Signed-off-by: ericharper <complex451@gmail.com> * update test iters Signed-off-by: ericharper <complex451@gmail.com> * add barrier Signed-off-by: ericharper <complex451@gmail.com> * return if clip_val is 0 or None Signed-off-by: ericharper <complex451@gmail.com> * when using amp clip grads after they are unscaled Signed-off-by: ericharper <complex451@gmail.com> * make native amp scaler hyperparams configurable Signed-off-by: ericharper <complex451@gmail.com> * (1) nvfuser, (2) amp-casting decoration (#2894) * (1) nvfuser, (2) amp-casting decoration Signed-off-by: Sangkug Lym <slym@nvidia.com> * support bf16 Signed-off-by: Sangkug Lym <slym@nvidia.com> * update package info Signed-off-by: ericharper <complex451@gmail.com> * add set device to constructor Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * [BigNLP] Remove megatron-lm dependency. (#2910) * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * update megatron_init Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * update process batch Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * add megatron clip_grad Signed-off-by: ericharper <complex451@gmail.com> * trying to resolve circular import error Signed-off-by: ericharper <complex451@gmail.com> * rename file Signed-off-by: ericharper <complex451@gmail.com> * remove non-gpt models and datasets from __init__ files Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * clean config Signed-off-by: ericharper <complex451@gmail.com> * update MegatronDataset Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * rename fp16 and bf16 flags to fused_softmax_input_in_fp16/bf16 Signed-off-by: ericharper <complex451@gmail.com> * rename to fused_fp16 Signed-off-by: ericharper <complex451@gmail.com> * add fused_fp16 arg to LayerNorm calls Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix import Signed-off-by: ericharper <complex451@gmail.com> * update arg Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * Adding complete method to MegatronGPTModel (#2935) Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * make ffn_hidden_size mandatory Signed-off-by: ericharper <complex451@gmail.com> * Manually migrating timing of step into branch (#2937) * 1. Manually migrating timing of step into branch. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated file name and content. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated to latest code. Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * remove unused imports Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * check fused_fp16 and fused_bf16 are not both True Signed-off-by: ericharper <complex451@gmail.com> * update predict script for model parallel .nemo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@users.noreply.github.com> Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * NVfuser (#2943) * activation checkpoint recompute Signed-off-by: Sangkug Lym <slym@nvidia.com> * selective nvfuser setup * Megatron gpt bfloat support (#2926) * Save/restore fix Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Another merge Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Bf16 args in init Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Set precision Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove debug stuff Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * add bf16 casting decorator Signed-off-by: Sangkug Lym <slym@nvidia.com> * Bfloat layernorm propagation Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * activation checkpoint recompute Signed-off-by: Sangkug Lym <slym@nvidia.com> * selective nvfuser setup * More arg removal Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove BERTDataset Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * update to latest apex and patch transformer autocast Signed-off-by: ericharper <complex451@gmail.com> Co-authored-by: Sangkug Lym <slym@nvidia.com> Co-authored-by: ericharper <complex451@gmail.com> * don't set jit for bf16 Signed-off-by: ericharper <complex451@gmail.com> * replace apex.mpu Signed-off-by: ericharper <complex451@gmail.com> * fix grad clip Signed-off-by: ericharper <complex451@gmail.com> * NVFuser fixes (#2951) * Fuser fixes Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove dummy handler Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * Remove PTL plugin based logic for fusion Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * remove duplicated file Signed-off-by: ericharper <complex451@gmail.com> * typo (#2960) Signed-off-by: ericharper <complex451@gmail.com> * [BigNLP] Script to convert GPT checkpoint to .nemo (#2958) * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * remove args in progress Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * add load_fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * update megatron_init Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * add fused kernels Signed-off-by: ericharper <complex451@gmail.com> * update process batch Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * remove erroneous import Signed-off-by: ericharper <complex451@gmail.com> * add megatron clip_grad Signed-off-by: ericharper <complex451@gmail.com> * trying to resolve circular import error Signed-off-by: ericharper <complex451@gmail.com> * rename file Signed-off-by: ericharper <complex451@gmail.com> * remove non-gpt models and datasets from __init__ files Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set device in constructorfor gpu init Signed-off-by: ericharper <complex451@gmail.com> * set_device in constructor Signed-off-by: ericharper <complex451@gmail.com> * clean config Signed-off-by: ericharper <complex451@gmail.com> * update MegatronDataset Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * clean up MegatronModule Signed-off-by: ericharper <complex451@gmail.com> * rename fp16 and bf16 flags to fused_softmax_input_in_fp16/bf16 Signed-off-by: ericharper <complex451@gmail.com> * rename to fused_fp16 Signed-off-by: ericharper <complex451@gmail.com> * add fused_fp16 arg to LayerNorm calls Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix arg name Signed-off-by: ericharper <complex451@gmail.com> * fix import Signed-off-by: ericharper <complex451@gmail.com> * update arg Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * skip warmup default to True Signed-off-by: ericharper <complex451@gmail.com> * Adding complete method to MegatronGPTModel (#2935) Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * make ffn_hidden_size mandatory Signed-off-by: ericharper <complex451@gmail.com> * Manually migrating timing of step into branch (#2937) * 1. Manually migrating timing of step into branch. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated file name and content. Signed-off-by: Micha Livne <mlivne@nvidia.com> * 1. Updated to latest code. Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> * remove unused imports Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * remove unused import Signed-off-by: ericharper <complex451@gmail.com> * check fused_fp16 and fused_bf16 are not both True Signed-off-by: ericharper <complex451@gmail.com> * update predict script for model parallel .nemo Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * add script to convert .ckpt to .nemo Signed-off-by: ericharper <complex451@gmail.com> * in progress Signed-off-by: ericharper <complex451@gmail.com> * update Signed-off-by: ericharper <complex451@gmail.com> * convert mp checkpoints to nemo Signed-off-by: ericharper <complex451@gmail.com> * update help Signed-off-by: ericharper <complex451@gmail.com> * add safeguard for model parallel save_to Signed-off-by: ericharper <complex451@gmail.com> * adjust NLPModel save_to to be safer for model parallel Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@users.noreply.github.com> Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * [BigNLP] Update GPT evaluation to work with tensor model parallel (#2959) * in progress Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add request dataset Signed-off-by: ericharper <complex451@gmail.com> * tokenize request Signed-off-by: ericharper <complex451@gmail.com> * in progress Signed-off-by: ericharper <complex451@gmail.com> * able to run Signed-off-by: ericharper <complex451@gmail.com> * reduce logits Signed-off-by: ericharper <complex451@gmail.com> * capture response Signed-off-by: ericharper <complex451@gmail.com> * squeeze and unsqueeze Signed-off-by: ericharper <complex451@gmail.com> * handle non model parallel case Signed-off-by: ericharper <complex451@gmail.com> * clean imports Signed-off-by: ericharper <complex451@gmail.com> * add file Signed-off-by: ericharper <complex451@gmail.com> * convert logits to log_probs Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * rename logits to log_probs Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> * style Signed-off-by: ericharper <complex451@gmail.com> * fix copyright headers Signed-off-by: ericharper <complex451@gmail.com> * fix copyright headers Signed-off-by: ericharper <complex451@gmail.com> * remove old TimingCallback Signed-off-by: ericharper <complex451@gmail.com> * style Signed-off-by: ericharper <complex451@gmail.com> * update jenkins to use latest apex and sandeep's fork Signed-off-by: ericharper <complex451@gmail.com> * update jenkins Signed-off-by: ericharper <complex451@gmail.com> * update jenkins Signed-off-by: ericharper <complex451@gmail.com> * update jenkins Signed-off-by: ericharper <complex451@gmail.com> * update jenkins Signed-off-by: ericharper <complex451@gmail.com> * try 2109 container Signed-off-by: ericharper <complex451@gmail.com> * try cuda container Signed-off-by: ericharper <complex451@gmail.com> * use internal container Signed-off-by: ericharper <complex451@gmail.com> * update checkpoint tests Signed-off-by: ericharper <complex451@gmail.com> * fix scheduler args Signed-off-by: ericharper <complex451@gmail.com> * update eval Signed-off-by: ericharper <complex451@gmail.com> * style Signed-off-by: ericharper <complex451@gmail.com> * update jenkins to use ptl 1.5 rc Signed-off-by: ericharper <complex451@gmail.com> * add import guard to jenkins Signed-off-by: ericharper <complex451@gmail.com> * add import guard to jenkins Signed-off-by: ericharper <complex451@gmail.com> * remove deterministic Signed-off-by: ericharper <complex451@gmail.com> * install numba .53 Signed-off-by: ericharper <complex451@gmail.com> * allow for more variance Signed-off-by: ericharper <complex451@gmail.com> * update trainer config dataclass Signed-off-by: ericharper <complex451@gmail.com> * test_get_optimizer on gpu Signed-off-by: ericharper <complex451@gmail.com> * revert comment Signed-off-by: ericharper <complex451@gmail.com> * change trainer config default to 32 Signed-off-by: ericharper <complex451@gmail.com> * [BigNLP] Remove fused kernel code instead use Apex (#2984) * remove fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * remove fused_kernels Signed-off-by: ericharper <complex451@gmail.com> * remove fused layer norm and fused softmax and use apex instead Signed-off-by: ericharper <complex451@gmail.com> * update imports Signed-off-by: ericharper <complex451@gmail.com> * remove comment Signed-off-by: ericharper <complex451@gmail.com> * use apex enums Signed-off-by: ericharper <complex451@gmail.com> * use apex enums Signed-off-by: ericharper <complex451@gmail.com> * add tab Signed-off-by: ericharper <complex451@gmail.com> * Timer with sliding window (#3002) Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> * revert tab Signed-off-by: ericharper <complex451@gmail.com> * check for rank zero Signed-off-by: ericharper <complex451@gmail.com> * check for rank zero Signed-off-by: ericharper <complex451@gmail.com> * try explicit log dir Signed-off-by: ericharper <complex451@gmail.com> * add + Signed-off-by: ericharper <complex451@gmail.com> * don't rm Signed-off-by: ericharper <complex451@gmail.com> * make dir if it doesn't exist Signed-off-by: ericharper <complex451@gmail.com> * create mp nemo file in temp directory Signed-off-by: ericharper <complex451@gmail.com> * simplify mp save_to Signed-off-by: ericharper <complex451@gmail.com> * handle mp 1 case Signed-off-by: ericharper <complex451@gmail.com> * style fix Signed-off-by: ericharper <complex451@gmail.com> * remove files Signed-off-by: ericharper <complex451@gmail.com> * fix consumed_samples when resuming Signed-off-by: ericharper <complex451@gmail.com> * fix reinstall.sh Signed-off-by: ericharper <complex451@gmail.com> * update req Signed-off-by: ericharper <complex451@gmail.com> * add more detailed log for dataloaders Signed-off-by: ericharper <complex451@gmail.com> * check if cuda is available before using fused_adam Signed-off-by: ericharper <complex451@gmail.com> * revert comment Signed-off-by: ericharper <complex451@gmail.com> * update eval script to use model.freeze Signed-off-by: ericharper <complex451@gmail.com> * log train loss averaged over gradient accumulation steps Signed-off-by: ericharper <complex451@gmail.com> * check copyright earlier Signed-off-by: ericharper <complex451@gmail.com> * todo Signed-off-by: ericharper <complex451@gmail.com> * override SaveRestoreConnector in NLPModel init Signed-off-by: ericharper <complex451@gmail.com> * move to scripts Signed-off-by: ericharper <complex451@gmail.com> * remove star import Signed-off-by: ericharper <complex451@gmail.com> * remove comments Signed-off-by: ericharper <complex451@gmail.com> * remove unused dataset Signed-off-by: ericharper <complex451@gmail.com> * removed barrier Signed-off-by: ericharper <complex451@gmail.com> * check cfg Signed-off-by: ericharper <complex451@gmail.com> * remove logging Signed-off-by: ericharper <complex451@gmail.com> * freeze, unfreeze Signed-off-by: ericharper <complex451@gmail.com> * return None Signed-off-by: ericharper <complex451@gmail.com> * remove unused imports Signed-off-by: ericharper <complex451@gmail.com> * add TODO Signed-off-by: ericharper <complex451@gmail.com> * typecheck Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * todo Signed-off-by: ericharper <complex451@gmail.com> * add common native plugin Signed-off-by: ericharper <complex451@gmail.com> * restore with trainer Signed-off-by: ericharper <complex451@gmail.com> * style Signed-off-by: ericharper <complex451@gmail.com> * deprecate megatron-lm bert Signed-off-by: ericharper <complex451@gmail.com> * deprecate megatron-lm bert Signed-off-by: ericharper <complex451@gmail.com> * compile helpers ont he fly Signed-off-by: ericharper <complex451@gmail.com> * remove amp_level Signed-off-by: ericharper <complex451@gmail.com> * remove amp_level from configs Signed-off-by: ericharper <complex451@gmail.com> * add missing import Signed-off-by: ericharper <complex451@gmail.com> * typo Signed-off-by: ericharper <complex451@gmail.com> * remove amp_level Signed-off-by: ericharper <complex451@gmail.com> * use fast huggingface tokenizers by default Signed-off-by: ericharper <complex451@gmail.com> * deal with huggingface tokenizer positional args Signed-off-by: ericharper <complex451@gmail.com> * deal with huggingface tokenizer positional args Signed-off-by: ericharper <complex451@gmail.com> * deal with huggingface tokenizer positional args Signed-off-by: ericharper <complex451@gmail.com> * revert use_fast default to False Signed-off-by: ericharper <complex451@gmail.com> * return super training_epoch_end Signed-off-by: ericharper <complex451@gmail.com> * remove optimizer_idx arg from training_step Signed-off-by: ericharper <complex451@gmail.com> * remove unused arg from on_train_epoch_end Signed-off-by: ericharper <complex451@gmail.com> * add restore_from_path to nemo config Signed-off-by: ericharper <complex451@gmail.com> * add comment Signed-off-by: ericharper <complex451@gmail.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * override connector if not subclassing NLPSaveRestoreConnector for model parallel save Signed-off-by: ericharper <complex451@gmail.com> * update test optimizer Signed-off-by: ericharper <complex451@gmail.com> * clean up Signed-off-by: ericharper <complex451@gmail.com> * clean up Signed-off-by: ericharper <complex451@gmail.com> * clean up Signed-off-by: ericharper <complex451@gmail.com> * clean up Signed-off-by: ericharper <complex451@gmail.com> * make data_prefix mandatory in config Signed-off-by: ericharper <complex451@gmail.com> * update installation instructions on readme Signed-off-by: ericharper <complex451@gmail.com> * update dockerfile Signed-off-by: ericharper <complex451@gmail.com> * add todo Signed-off-by: ericharper <complex451@gmail.com> * raise error if trying to use always_save_nemo with model parallel model Signed-off-by: ericharper <complex451@gmail.com> * remove comment Signed-off-by: ericharper <complex451@gmail.com> Co-authored-by: Sandeep Subramanian <sandeep.subramanian.1@umontreal.ca> Co-authored-by: Sangkug Lym <slym@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@users.noreply.github.com> Co-authored-by: Micha Livne <michalivne@users.noreply.github.com> Co-authored-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: Oleksii Kuchaiev <okuchaiev@nvidia.com>
565 lines
18 KiB
Python
565 lines
18 KiB
Python
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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# Most of the code here has been copied from:
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# fairseq/fairseq/data/indexed_dataset.py
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# with some modifications:
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# Removed IndexedRawTextDataset since it relied on Fairseq dictionary
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# other slight modifications to remove fairseq dependencies
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# Added document index to index file and made it accessible.
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# An empty sentence no longer separates documents.
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import os
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import shutil
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import struct
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from functools import lru_cache
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from itertools import accumulate
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import numpy as np
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import torch
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from nemo.utils import logging
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def __best_fitting_dtype(vocab_size=None):
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if vocab_size is not None and vocab_size < 65500:
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return np.uint16
|
|
else:
|
|
return np.int32
|
|
|
|
|
|
def get_available_dataset_impl():
|
|
return ['lazy', 'cached', 'mmap']
|
|
|
|
|
|
def infer_dataset_impl(path):
|
|
if IndexedDataset.exists(path):
|
|
with open(index_file_path(path), 'rb') as f:
|
|
magic = f.read(8)
|
|
if magic == IndexedDataset._HDR_MAGIC:
|
|
return 'cached'
|
|
elif magic == MMapIndexedDataset.Index._HDR_MAGIC[:8]:
|
|
return 'mmap'
|
|
else:
|
|
return None
|
|
else:
|
|
print(f"Dataset does not exist: {path}")
|
|
print("Path should be a basename that both .idx and .bin can be appended to get full filenames.")
|
|
return None
|
|
|
|
|
|
def make_builder(out_file, impl, vocab_size=None):
|
|
if impl == 'mmap':
|
|
return MMapIndexedDatasetBuilder(out_file, dtype=__best_fitting_dtype(vocab_size))
|
|
else:
|
|
return IndexedDatasetBuilder(out_file)
|
|
|
|
|
|
def make_dataset(path, impl, skip_warmup=False):
|
|
if not IndexedDataset.exists(path):
|
|
print(f"Dataset does not exist: {path}")
|
|
print("Path should be a basename that both .idx and .bin can be appended to get full filenames.")
|
|
return None
|
|
if impl == 'infer':
|
|
impl = infer_dataset_impl(path)
|
|
if impl == 'lazy' and IndexedDataset.exists(path):
|
|
return IndexedDataset(path)
|
|
elif impl == 'cached' and IndexedDataset.exists(path):
|
|
return IndexedCachedDataset(path)
|
|
elif impl == 'mmap' and MMapIndexedDataset.exists(path):
|
|
return MMapIndexedDataset(path, skip_warmup)
|
|
print(f"Unknown dataset implementation: {impl}")
|
|
return None
|
|
|
|
|
|
def dataset_exists(path, impl):
|
|
if impl == 'mmap':
|
|
return MMapIndexedDataset.exists(path)
|
|
else:
|
|
return IndexedDataset.exists(path)
|
|
|
|
|
|
def read_longs(f, n):
|
|
a = np.empty(n, dtype=np.int64)
|
|
f.readinto(a)
|
|
return a
|
|
|
|
|
|
def write_longs(f, a):
|
|
f.write(np.array(a, dtype=np.int64))
|
|
|
|
|
|
dtypes = {1: np.uint8, 2: np.int8, 3: np.int16, 4: np.int32, 5: np.int64, 6: np.float, 7: np.double, 8: np.uint16}
|
|
|
|
|
|
def code(dtype):
|
|
for k in dtypes.keys():
|
|
if dtypes[k] == dtype:
|
|
return k
|
|
raise ValueError(dtype)
|
|
|
|
|
|
def index_file_path(prefix_path):
|
|
return prefix_path + '.idx'
|
|
|
|
|
|
def data_file_path(prefix_path):
|
|
return prefix_path + '.bin'
|
|
|
|
|
|
def create_doc_idx(sizes):
|
|
doc_idx = [0]
|
|
for i, s in enumerate(sizes):
|
|
if s == 0:
|
|
doc_idx.append(i + 1)
|
|
return doc_idx
|
|
|
|
|
|
class IndexedDataset(torch.utils.data.Dataset):
|
|
"""Loader for IndexedDataset"""
|
|
|
|
_HDR_MAGIC = b'TNTIDX\x00\x00'
|
|
|
|
def __init__(self, path):
|
|
super().__init__()
|
|
self.path = path
|
|
self.data_file = None
|
|
self.read_index(path)
|
|
|
|
def read_index(self, path):
|
|
with open(index_file_path(path), 'rb') as f:
|
|
magic = f.read(8)
|
|
assert magic == self._HDR_MAGIC, (
|
|
'Index file doesn\'t match expected format. ' 'Make sure that --dataset-impl is configured properly.'
|
|
)
|
|
version = f.read(8)
|
|
assert struct.unpack('<Q', version) == (1,)
|
|
code, self.element_size = struct.unpack('<QQ', f.read(16))
|
|
self.dtype = dtypes[code]
|
|
self._len, self.s = struct.unpack('<QQ', f.read(16))
|
|
self.doc_count = struct.unpack('<Q', f.read(8))
|
|
self.dim_offsets = read_longs(f, self._len + 1)
|
|
self.data_offsets = read_longs(f, self._len + 1)
|
|
self.sizes = read_longs(f, self.s)
|
|
self.doc_idx = read_longs(f, self.doc_count)
|
|
|
|
def read_data(self, path):
|
|
self.data_file = open(data_file_path(path), 'rb', buffering=0)
|
|
|
|
def check_index(self, i):
|
|
if i < 0 or i >= self._len:
|
|
raise IndexError('index out of range')
|
|
|
|
def __del__(self):
|
|
if self.data_file:
|
|
self.data_file.close()
|
|
|
|
# @lru_cache(maxsize=8)
|
|
def __getitem__(self, idx):
|
|
if not self.data_file:
|
|
self.read_data(self.path)
|
|
if isinstance(idx, int):
|
|
i = idx
|
|
self.check_index(i)
|
|
tensor_size = self.sizes[self.dim_offsets[i] : self.dim_offsets[i + 1]]
|
|
a = np.empty(tensor_size, dtype=self.dtype)
|
|
self.data_file.seek(self.data_offsets[i] * self.element_size)
|
|
self.data_file.readinto(a)
|
|
return a
|
|
elif isinstance(idx, slice):
|
|
start, stop, step = idx.indices(len(self))
|
|
if step != 1:
|
|
raise ValueError("Slices into indexed_dataset must be contiguous")
|
|
sizes = self.sizes[self.dim_offsets[start] : self.dim_offsets[stop]]
|
|
size = sum(sizes)
|
|
a = np.empty(size, dtype=self.dtype)
|
|
self.data_file.seek(self.data_offsets[start] * self.element_size)
|
|
self.data_file.readinto(a)
|
|
offsets = list(accumulate(sizes))
|
|
sents = np.split(a, offsets[:-1])
|
|
return sents
|
|
|
|
def __len__(self):
|
|
return self._len
|
|
|
|
def num_tokens(self, index):
|
|
return self.sizes[index]
|
|
|
|
def size(self, index):
|
|
return self.sizes[index]
|
|
|
|
@staticmethod
|
|
def exists(path):
|
|
return os.path.exists(index_file_path(path)) and os.path.exists(data_file_path(path))
|
|
|
|
@property
|
|
def supports_prefetch(self):
|
|
return False # avoid prefetching to save memory
|
|
|
|
|
|
class IndexedCachedDataset(IndexedDataset):
|
|
def __init__(self, path):
|
|
super().__init__(path)
|
|
self.cache = None
|
|
self.cache_index = {}
|
|
|
|
@property
|
|
def supports_prefetch(self):
|
|
return True
|
|
|
|
def prefetch(self, indices):
|
|
if all(i in self.cache_index for i in indices):
|
|
return
|
|
if not self.data_file:
|
|
self.read_data(self.path)
|
|
indices = sorted(set(indices))
|
|
total_size = 0
|
|
for i in indices:
|
|
total_size += self.data_offsets[i + 1] - self.data_offsets[i]
|
|
self.cache = np.empty(total_size, dtype=self.dtype)
|
|
ptx = 0
|
|
self.cache_index.clear()
|
|
for i in indices:
|
|
self.cache_index[i] = ptx
|
|
size = self.data_offsets[i + 1] - self.data_offsets[i]
|
|
a = self.cache[ptx : ptx + size]
|
|
self.data_file.seek(self.data_offsets[i] * self.element_size)
|
|
self.data_file.readinto(a)
|
|
ptx += size
|
|
if self.data_file:
|
|
# close and delete data file after prefetch so we can pickle
|
|
self.data_file.close()
|
|
self.data_file = None
|
|
|
|
# @lru_cache(maxsize=8)
|
|
def __getitem__(self, idx):
|
|
if isinstance(idx, int):
|
|
i = idx
|
|
self.check_index(i)
|
|
tensor_size = self.sizes[self.dim_offsets[i] : self.dim_offsets[i + 1]]
|
|
a = np.empty(tensor_size, dtype=self.dtype)
|
|
ptx = self.cache_index[i]
|
|
np.copyto(a, self.cache[ptx : ptx + a.size])
|
|
return a
|
|
elif isinstance(idx, slice):
|
|
# Hack just to make this work, can optimizer later if necessary
|
|
sents = []
|
|
for i in range(*idx.indices(len(self))):
|
|
sents.append(self[i])
|
|
return sents
|
|
|
|
|
|
class IndexedDatasetBuilder(object):
|
|
element_sizes = {np.uint8: 1, np.int8: 1, np.int16: 2, np.int32: 4, np.int64: 8, np.float: 4, np.double: 8}
|
|
|
|
def __init__(self, out_file, dtype=np.int32):
|
|
self.out_file = open(out_file, 'wb')
|
|
self.dtype = dtype
|
|
self.data_offsets = [0]
|
|
self.dim_offsets = [0]
|
|
self.sizes = []
|
|
self.element_size = self.element_sizes[self.dtype]
|
|
self.doc_idx = [0]
|
|
|
|
def add_item(self, tensor):
|
|
bytes = self.out_file.write(np.array(tensor.numpy(), dtype=self.dtype))
|
|
self.data_offsets.append(self.data_offsets[-1] + bytes / self.element_size)
|
|
for s in tensor.size():
|
|
self.sizes.append(s)
|
|
self.dim_offsets.append(self.dim_offsets[-1] + len(tensor.size()))
|
|
|
|
def end_document(self):
|
|
self.doc_idx.append(len(self.sizes))
|
|
|
|
def merge_file_(self, another_file):
|
|
index = IndexedDataset(another_file)
|
|
assert index.dtype == self.dtype
|
|
|
|
begin = self.data_offsets[-1]
|
|
for offset in index.data_offsets[1:]:
|
|
self.data_offsets.append(begin + offset)
|
|
self.sizes.extend(index.sizes)
|
|
begin = self.dim_offsets[-1]
|
|
for dim_offset in index.dim_offsets[1:]:
|
|
self.dim_offsets.append(begin + dim_offset)
|
|
|
|
with open(data_file_path(another_file), 'rb') as f:
|
|
while True:
|
|
data = f.read(1024)
|
|
if data:
|
|
self.out_file.write(data)
|
|
else:
|
|
break
|
|
|
|
def finalize(self, index_file):
|
|
self.out_file.close()
|
|
index = open(index_file, 'wb')
|
|
index.write(b'TNTIDX\x00\x00')
|
|
index.write(struct.pack('<Q', 1))
|
|
index.write(struct.pack('<QQ', code(self.dtype), self.element_size))
|
|
index.write(struct.pack('<QQ', len(self.data_offsets) - 1, len(self.sizes)))
|
|
index.write(struct.pack('<Q', len(self.doc_idx)))
|
|
write_longs(index, self.dim_offsets)
|
|
write_longs(index, self.data_offsets)
|
|
write_longs(index, self.sizes)
|
|
write_longs(index, self.doc_idx)
|
|
index.close()
|
|
|
|
|
|
def _warmup_mmap_file(path):
|
|
with open(path, 'rb') as stream:
|
|
while stream.read(100 * 1024 * 1024):
|
|
pass
|
|
|
|
|
|
class MMapIndexedDataset(torch.utils.data.Dataset):
|
|
class Index(object):
|
|
_HDR_MAGIC = b'MMIDIDX\x00\x00'
|
|
|
|
@classmethod
|
|
def writer(cls, path, dtype):
|
|
class _Writer(object):
|
|
def __enter__(self):
|
|
self._file = open(path, 'wb')
|
|
|
|
self._file.write(cls._HDR_MAGIC)
|
|
self._file.write(struct.pack('<Q', 1))
|
|
self._file.write(struct.pack('<B', code(dtype)))
|
|
|
|
return self
|
|
|
|
@staticmethod
|
|
def _get_pointers(sizes):
|
|
dtype_size = dtype().itemsize
|
|
address = 0
|
|
pointers = []
|
|
|
|
for size in sizes:
|
|
pointers.append(address)
|
|
address += size * dtype_size
|
|
|
|
return pointers
|
|
|
|
def write(self, sizes, doc_idx):
|
|
pointers = self._get_pointers(sizes)
|
|
|
|
self._file.write(struct.pack('<Q', len(sizes)))
|
|
self._file.write(struct.pack('<Q', len(doc_idx)))
|
|
|
|
sizes = np.array(sizes, dtype=np.int32)
|
|
self._file.write(sizes.tobytes(order='C'))
|
|
del sizes
|
|
|
|
pointers = np.array(pointers, dtype=np.int64)
|
|
self._file.write(pointers.tobytes(order='C'))
|
|
del pointers
|
|
|
|
doc_idx = np.array(doc_idx, dtype=np.int64)
|
|
self._file.write(doc_idx.tobytes(order='C'))
|
|
|
|
def __exit__(self, exc_type, exc_val, exc_tb):
|
|
self._file.close()
|
|
|
|
return _Writer()
|
|
|
|
def __init__(self, path, skip_warmup=False):
|
|
with open(path, 'rb') as stream:
|
|
magic_test = stream.read(9)
|
|
assert self._HDR_MAGIC == magic_test, (
|
|
'Index file doesn\'t match expected format. '
|
|
'Make sure that --dataset-impl is configured properly.'
|
|
)
|
|
version = struct.unpack('<Q', stream.read(8))
|
|
assert (1,) == version
|
|
|
|
(dtype_code,) = struct.unpack('<B', stream.read(1))
|
|
self._dtype = dtypes[dtype_code]
|
|
self._dtype_size = self._dtype().itemsize
|
|
|
|
self._len = struct.unpack('<Q', stream.read(8))[0]
|
|
self._doc_count = struct.unpack('<Q', stream.read(8))[0]
|
|
offset = stream.tell()
|
|
|
|
if not skip_warmup:
|
|
logging.info(" warming up index mmap file...")
|
|
_warmup_mmap_file(path)
|
|
|
|
self._bin_buffer_mmap = np.memmap(path, mode='r', order='C')
|
|
self._bin_buffer = memoryview(self._bin_buffer_mmap)
|
|
logging.info(" reading sizes...")
|
|
self._sizes = np.frombuffer(self._bin_buffer, dtype=np.int32, count=self._len, offset=offset)
|
|
logging.info(" reading pointers...")
|
|
self._pointers = np.frombuffer(
|
|
self._bin_buffer, dtype=np.int64, count=self._len, offset=offset + self._sizes.nbytes
|
|
)
|
|
logging.info(" reading document index...")
|
|
self._doc_idx = np.frombuffer(
|
|
self._bin_buffer,
|
|
dtype=np.int64,
|
|
count=self._doc_count,
|
|
offset=offset + self._sizes.nbytes + self._pointers.nbytes,
|
|
)
|
|
|
|
def __del__(self):
|
|
self._bin_buffer_mmap._mmap.close()
|
|
del self._bin_buffer_mmap
|
|
|
|
@property
|
|
def dtype(self):
|
|
return self._dtype
|
|
|
|
@property
|
|
def sizes(self):
|
|
return self._sizes
|
|
|
|
@property
|
|
def doc_idx(self):
|
|
return self._doc_idx
|
|
|
|
@lru_cache(maxsize=8)
|
|
def __getitem__(self, i):
|
|
return self._pointers[i], self._sizes[i]
|
|
|
|
def __len__(self):
|
|
return self._len
|
|
|
|
def __init__(self, path, skip_warmup=False):
|
|
super().__init__()
|
|
|
|
self._path = None
|
|
self._index = None
|
|
self._bin_buffer = None
|
|
|
|
self._do_init(path, skip_warmup)
|
|
|
|
def __getstate__(self):
|
|
return self._path
|
|
|
|
# def __setstate__(self, state):
|
|
# self._do_init(state)
|
|
|
|
def _do_init(self, path, skip_warmup):
|
|
self._path = path
|
|
self._index = self.Index(index_file_path(self._path), skip_warmup)
|
|
|
|
if not skip_warmup:
|
|
logging.info(" warming up data mmap file...")
|
|
_warmup_mmap_file(data_file_path(self._path))
|
|
logging.info(" creating numpy buffer of mmap...")
|
|
self._bin_buffer_mmap = np.memmap(data_file_path(self._path), mode='r', order='C')
|
|
logging.info(" creating memory view of numpy buffer...")
|
|
self._bin_buffer = memoryview(self._bin_buffer_mmap)
|
|
|
|
def __del__(self):
|
|
self._bin_buffer_mmap._mmap.close()
|
|
del self._bin_buffer_mmap
|
|
del self._index
|
|
|
|
def __len__(self):
|
|
return len(self._index)
|
|
|
|
# @lru_cache(maxsize=8)
|
|
def __getitem__(self, idx):
|
|
if isinstance(idx, int):
|
|
ptr, size = self._index[idx]
|
|
np_array = np.frombuffer(self._bin_buffer, dtype=self._index.dtype, count=size, offset=ptr)
|
|
return np_array
|
|
elif isinstance(idx, slice):
|
|
start, stop, step = idx.indices(len(self))
|
|
if step != 1:
|
|
raise ValueError("Slices into indexed_dataset must be contiguous")
|
|
ptr = self._index._pointers[start]
|
|
sizes = self._index._sizes[idx]
|
|
offsets = list(accumulate(sizes))
|
|
total_size = sum(sizes)
|
|
np_array = np.frombuffer(self._bin_buffer, dtype=self._index.dtype, count=total_size, offset=ptr)
|
|
sents = np.split(np_array, offsets[:-1])
|
|
return sents
|
|
|
|
def get(self, idx, offset=0, length=None):
|
|
""" Retrieves a single item from the dataset with the option to only
|
|
return a portion of the item.
|
|
|
|
get(idx) is the same as [idx] but get() does not support slicing.
|
|
"""
|
|
ptr, size = self._index[idx]
|
|
if length is None:
|
|
length = size - offset
|
|
ptr += offset * np.dtype(self._index.dtype).itemsize
|
|
np_array = np.frombuffer(self._bin_buffer, dtype=self._index.dtype, count=length, offset=ptr)
|
|
return np_array
|
|
|
|
@property
|
|
def sizes(self):
|
|
return self._index.sizes
|
|
|
|
@property
|
|
def doc_idx(self):
|
|
return self._index.doc_idx
|
|
|
|
def get_doc_idx(self):
|
|
return self._index._doc_idx
|
|
|
|
def set_doc_idx(self, doc_idx_):
|
|
self._index._doc_idx = doc_idx_
|
|
|
|
@property
|
|
def supports_prefetch(self):
|
|
return False
|
|
|
|
@staticmethod
|
|
def exists(path):
|
|
return os.path.exists(index_file_path(path)) and os.path.exists(data_file_path(path))
|
|
|
|
|
|
class MMapIndexedDatasetBuilder(object):
|
|
def __init__(self, out_file, dtype=np.int64):
|
|
self._data_file = open(out_file, 'wb')
|
|
self._dtype = dtype
|
|
self._sizes = []
|
|
self._doc_idx = [0]
|
|
|
|
def add_item(self, tensor):
|
|
np_array = np.array(tensor.numpy(), dtype=self._dtype)
|
|
self._data_file.write(np_array.tobytes(order='C'))
|
|
self._sizes.append(np_array.size)
|
|
|
|
def end_document(self):
|
|
self._doc_idx.append(len(self._sizes))
|
|
|
|
def merge_file_(self, another_file):
|
|
# Concatenate index
|
|
index = MMapIndexedDataset.Index(index_file_path(another_file))
|
|
assert index.dtype == self._dtype
|
|
|
|
for size in index.sizes:
|
|
self._sizes.append(size)
|
|
|
|
# Concatenate data
|
|
with open(data_file_path(another_file), 'rb') as f:
|
|
shutil.copyfileobj(f, self._data_file)
|
|
|
|
def finalize(self, index_file):
|
|
self._data_file.close()
|
|
|
|
with MMapIndexedDataset.Index.writer(index_file, self._dtype) as index:
|
|
index.write(self._sizes, self._doc_idx)
|