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T5 cpu placement to test large graph compile #393

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dec6b48
add base
strint Sep 13, 2022
ab0f430
cpu run
strint Sep 14, 2022
725c440
mod for compile
strint Sep 14, 2022
a8e3d43
reduce mem
strint Sep 14, 2022
1d18790
add t5 test dataset
xiezipeng-ML Sep 20, 2022
9c53254
reduce mem of input and param
strint Sep 20, 2022
eb8b8fd
reduce mem
strint Sep 20, 2022
1ea881d
1000 gpu dp
strint Sep 21, 2022
8de0b59
adapt t5 for any rank compile
strint Sep 30, 2022
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mod for compile
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@strint
strint committed Sep 14, 2022
commit 725c44075141d0d6800e8ba5608400f61a695ef3
2 changes: 1 addition & 1 deletion configs/common/data/t5_dataset.py
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Expand Up @@ -47,5 +47,5 @@
train_val_test_num_samples=None, # a hint for deferred assignment
splits=[[949.0, 50.0, 1.0]],
weights=[1.0],
num_workers=4,
num_workers=0,
)
8 changes: 6 additions & 2 deletions configs/t5_large_pretrain.py
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Expand Up @@ -8,7 +8,8 @@
from .common.models.graph import graph

vocab_file = "../bert_data/bert-base-chinese-vocab.txt"
data_prefix = "../bert_data/loss_compara_content_sentence"
data_prefix = "../bert_data/data/loss_compara_content_sentence"
# data_prefix = "../bert_data/loss_compara_content_sentence"

tokenization.tokenizer.vocab_file = vocab_file
dataloader.train.dataset[0].data_prefix = data_prefix
Expand All @@ -22,13 +23,16 @@
model.cfg.bias_dropout_fusion = False
model.cfg.bias_gelu_fusion = False

graph.debug = 1

train.input_placement_device = "cpu"

train.dist.data_parallel_size=8
train.dist.data_parallel_size=64
train.dist.tensor_parallel_size=1
train.dist.pipeline_parallel_size=1
train.dist.pipeline_num_layers = 2 * model.cfg.hidden_layers


train.train_micro_batch_size = 16
train.amp.enabled = True

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1 change: 0 additions & 1 deletion libai/models/utils/graph_base.py
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Expand Up @@ -42,7 +42,6 @@ def __init__(

self.model = model
self.is_train = is_train
self.debug(1, only_compile=True)

if is_train:
self.add_optimizer(optimizer, lr_sch=lr_scheduler)
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1 change: 1 addition & 0 deletions tools/train.sh
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Expand Up @@ -8,6 +8,7 @@ NODE_RANK=${NODE_RANK:-0}
ADDR=${ADDR:-127.0.0.1}
PORT=${PORT:-12345}

export GLOG_v=1
export ONEFLOW_FUSE_OPTIMIZER_UPDATE_CAST=true

python3 -m oneflow.distributed.launch \
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