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[legacy] clean up legacy code (#4743)

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* [legacy] remove outdated codes of pipeline (#4692)

* [legacy] remove cli of benchmark and update optim (#4690)

* [legacy] remove cli of benchmark and update optim

* [doc] fix cli doc test

* [legacy] fix engine clip grad norm

* [legacy] remove outdated colo tensor (#4694)

* [legacy] remove outdated colo tensor

* [test] fix test import

* [legacy] move outdated zero to legacy (#4696)

* [legacy] clean up utils (#4700)

* [legacy] clean up utils

* [example] update examples

* [legacy] clean up amp

* [legacy] fix amp module

* [legacy] clean up gpc (#4742)

* [legacy] clean up context

* [legacy] clean core, constants and global vars

* [legacy] refactor initialize

* [example] fix examples ci

* [example] fix examples ci

* [legacy] fix tests

* [example] fix gpt example

* [example] fix examples ci

* [devops] fix ci installation

* [example] fix examples ci
This commit is contained in:
Hongxin Liu
2023-09-18 16:31:06 +08:00
committed by GitHub
parent 32e7f99416
commit b5f9e37c70
342 changed files with 2919 additions and 4182 deletions
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7
examples/language/gpt/gemini/run_gemini.sh
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@@ -9,11 +9,6 @@ export MODEL_TYPE=${MODEL_TYPE:-"gpt2_medium"}
export TRAIN_STEP=${TRAIN_STEP:-10}
# export PYTHONPATH=$PWD:$PYTHONPATH
if [ ${USE_SHARD_INIT} = "True" ]; then
USE_SHARD_INIT="--shardinit"
else
USE_SHARD_INIT=""
fi
mkdir -p gemini_logs
@@ -22,4 +17,4 @@ torchrun --standalone --nproc_per_node=${GPUNUM} ./train_gpt_demo.py \
--batch_size=${BATCH_SIZE} \
--distplan=${DISTPLAN} \
--train_step=${TRAIN_STEP} \
2>&1 | tee ./gemini_logs/${MODEL_TYPE}_${DISTPLAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}_tp_${TPDEGREE}_${PLACEMENT}.log
2>&1 | tee ./gemini_logs/${MODEL_TYPE}_${DISTPLAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}.log

4
examples/language/gpt/gemini/train_gpt_demo.py
View File

@@ -1,3 +1,4 @@
import argparse
import os
from contextlib import nullcontext
from functools import partial
@@ -9,7 +10,6 @@ import torch.nn as nn
from commons.model_zoo import model_builder
from commons.utils import get_data, get_profile_context, get_tflops, get_time_stamp
from packaging import version
from torch.nn.parallel import DistributedDataParallel as DDP
import colossalai
from colossalai.booster import Booster
@@ -23,7 +23,7 @@ CAI_VERSION = colossalai.__version__
def parse_args():
parser = colossalai.get_default_parser()
parser = argparse.ArgumentParser()
parser.add_argument(
"--distplan",
type=str,