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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* [legacy] remove outdated codes of pipeline (#4692)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* [legacy] remove outdated colo tensor (#4694)

* [legacy] remove outdated colo tensor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* [legacy] move outdated zero to legacy (#4696)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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42
examples/images/dreambooth/test_ci.sh
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@@ -1,24 +1,26 @@
#!/bin/bash
set -xe
pip install -r requirements.txt
echo "this test is slow"
HF_DATASETS_OFFLINE=1
TRANSFORMERS_OFFLINE=1
DIFFUSERS_OFFLINE=1
# pip install -r requirements.txt
# "torch_ddp" "torch_ddp_fp16" "low_level_zero"
for plugin in "gemini"; do
torchrun --nproc_per_node 4 --standalone train_dreambooth_colossalai.py \
--pretrained_model_name_or_path="/data/dreambooth/diffuser/stable-diffusion-v1-4" \
--instance_data_dir="/data/dreambooth/Teyvat/data" \
--output_dir="./weight_output" \
--instance_prompt="a picture of a dog" \
--resolution=512 \
--plugin=$plugin \
--train_batch_size=1 \
--learning_rate=5e-6 \
--lr_scheduler="constant" \
--lr_warmup_steps=0 \
--test_run=True \
--num_class_images=200
done
# HF_DATASETS_OFFLINE=1
# TRANSFORMERS_OFFLINE=1
# DIFFUSERS_OFFLINE=1
# # "torch_ddp" "torch_ddp_fp16" "low_level_zero"
# for plugin in "gemini"; do
# torchrun --nproc_per_node 4 --standalone train_dreambooth_colossalai.py \
# --pretrained_model_name_or_path="/data/dreambooth/diffuser/stable-diffusion-v1-4" \
# --instance_data_dir="/data/dreambooth/Teyvat/data" \
# --output_dir="./weight_output" \
# --instance_prompt="a picture of a dog" \
# --resolution=512 \
# --plugin=$plugin \
# --train_batch_size=1 \
# --learning_rate=5e-6 \
# --lr_scheduler="constant" \
# --lr_warmup_steps=0 \
# --test_run=True \
# --num_class_images=200
# don

9
examples/images/dreambooth/train_dreambooth_colossalai.py
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@@ -7,6 +7,7 @@ from pathlib import Path
from typing import Optional
import torch
import torch.distributed as dist
import torch.nn.functional as F
import torch.utils.checkpoint
from diffusers import AutoencoderKL, DDPMScheduler, DiffusionPipeline, UNet2DConditionModel
@@ -21,13 +22,9 @@ from transformers import AutoTokenizer, PretrainedConfig
import colossalai
from colossalai.booster import Booster
from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.logging import disable_existing_loggers, get_dist_logger
from colossalai.nn.optimizer import HybridAdam
from colossalai.utils import get_current_device
from colossalai.zero import ColoInitContext
from colossalai.zero.gemini import get_static_torch_model
disable_existing_loggers()
logger = get_dist_logger()
@@ -366,8 +363,8 @@ def main(args):
else:
colossalai.launch_from_torch(config={}, seed=args.seed)
local_rank = gpc.get_local_rank(ParallelMode.DATA)
world_size = gpc.get_world_size(ParallelMode.DATA)
local_rank = dist.get_rank()
world_size = dist.get_world_size()
if args.with_prior_preservation:
class_images_dir = Path(args.class_data_dir)

4
examples/images/dreambooth/train_dreambooth_colossalai_lora.py
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@@ -23,8 +23,8 @@ from transformers import AutoTokenizer, PretrainedConfig
import colossalai
from colossalai.booster import Booster
from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
from colossalai.logging import disable_existing_loggers, get_dist_logger
from colossalai.nn.optimizer import HybridAdam
from colossalai.utils import get_current_device