a-r-r-o-w
/ pipeline_parallel.py
Created
October 2, 2024 10:50
— forked from 3outeille/pipeline_parallel.py
Self contained example of how pipeline parallel works (AFAB and 1F1B) in 200 LOC
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| #VERBOSE=0 torchrun --nproc_per_node 3 self_contained_pp_LOC.py | |
| import os, random, numpy as np, torch, torch.nn as nn, torch.distributed as dist, torch.nn.functional as F | |
| from torch.optim import AdamW | |
| from torch.utils.data import DataLoader, DistributedSampler | |
| from datasets import load_dataset | |
| from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer | |
| STEP, local_rank, world_size, verbose = 0, int(os.environ["LOCAL_RANK"]), int(os.environ["WORLD_SIZE"]), os.environ.get("VERBOSE", "0") == "1" | |
| def set_all_seed(seed): |