PaddlePaddle · ZHUI · Jan 9, 2024 · Jan 4, 2024 · Jan 4, 2024 · Jan 9, 2024
diff --git a/...llelism/ce_gpt/N1C8/CE_gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SD4-stage1-mbs4-acc2.sh b/...llelism/ce_gpt/N1C8/CE_gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SD4-stage1-mbs4-acc2.sh
@@ -18,6 +18,11 @@ mp_degree=2
 pp_degree=1
 sharding_degree=4
 sharding=stage1
+virtual_pp_degree=1
+use_recompute=True
+eval_freq=25
+use_pipeline_parallel=False
+sequence_parallel=False
 bs_item=32
 fp_item=bf16
 run_mode=MP2-SD4-stage1-mbs4-acc2
@@ -26,8 +31,10 @@ max_iter=50000
 
 model=gpt
 micro_bs=4
+acc=2
+seed=3589
 
 bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
 # run
 bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
-${max_iter} ${sharding} ${sharding_degree} 2>&1;
+${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
diff --git a/.../N2C16/CE_gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8.sh b/.../N2C16/CE_gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8.sh
@@ -0,0 +1,40 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+model_item=CE_gpt-345m_seqlen1024_pretrain
+dp_degree=1
+mp_degree=2
+pp_degree=4
+bs_item=32
+fp_item=bf16
+run_mode=MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8
+device_num=N2C16
+max_iter=50000
+sharding=stage1
+sharding_degree=2
+virtual_pp_degree=2
+use_recompute=True
+eval_freq=25
+use_pipeline_parallel=True
+sequence_parallel=True
+
+model=gpt
+micro_bs=2
+acc=8
+seed=3589
+
+bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
+# run
+bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
+${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} ${seed} 2>&1;
diff --git a/...gpt/N2C16/gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8.sh b/...gpt/N2C16/gpt-345m_seqlen1024_pretrain_bs32_bf16_MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8.sh
@@ -0,0 +1,40 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+model_item=gpt-345m_seqlen1024_pretrain
+dp_degree=1
+mp_degree=2
+pp_degree=4
+bs_item=32
+fp_item=bf16
+run_mode=MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8
+device_num=N2C16
+max_iter=100
+sharding=stage1
+sharding_degree=2
+
+virtual_pp_degree=2
+use_recompute=True
+eval_freq=25
+use_pipeline_parallel=True
+sequence_parallel=True
+
+model=gpt
+micro_bs=2
+acc=8
+
+bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/prepare.sh
+# run
+bash ./test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
+${max_iter} ${sharding} ${sharding_degree} ${virtual_pp_degree} ${use_recompute} ${eval_freq} ${use_pipeline_parallel} ${sequence_parallel} ${acc} 2>&1;
diff --git a/tests/test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh b/tests/test_tipc/dygraph/hybrid_parallelism/ce_gpt/benchmark_common/run_benchmark.sh
@@ -37,11 +37,13 @@ function _set_params(){
  sharding_degree=${12:-"1"}
  num_workers=0 # (可选)
  base_batch_size=$global_batch_size
- virtual_pp_degree=${13:-"2"} # (可选) virtualpp数据并行度
+ vpp_degree=${13:-"1"} # (可选) virtualpp数据并行度
  use_recompute=${14:-"True"} # (可选)是否打开recompute
  eval_freq=${15:-"25"} # (可选)模型评估间隔
  use_pipeline_parallel=${16:-"False"} # (可选)是否开启pipeline_parallel_config
  sequence_parallel=${17:-"False"} # (可选)是否开启sequence_parallel
+ acc=${18:-"2"} 
+ seed=${19:-"1234"}
  # 以下为通用执行命令，无特殊可不用修改
  model_name=${model_item}_bs${global_batch_size}_${fp_item}_${run_mode} # (必填) 且格式不要改动,与竞品名称对齐
  device=${CUDA_VISIBLE_DEVICES//,/ }
@@ -108,10 +110,11 @@ function _train(){
  --tensor_parallel_degree ${mp_degree} \
  --pipeline_parallel_degree ${pp_degree} \
  ${pp_config_disable_partial_send_recv} \
+ --virtual_pp_degree ${vpp_degree} \
  --sequence_parallel ${sequence_parallel} \
  --split 949,50,1 \
  --max_seq_length 1024 \
- --seed 1234 \
+ --seed ${seed} \
  --fuse_attention_qkv True \
  --use_flash_attention True \
  --bf16 ${bf16} \
@@ -125,7 +128,7 @@ function _train(){
  --dataloader_num_workers 1 \
  --eval_steps 1000 \
  --disable_tqdm True \
- --gradient_accumulation_steps 2 \
+ --gradient_accumulation_steps ${acc} \
  --weight_decay 0.01\
  --max_steps ${max_iter}\
  --save_steps 5000\
@@ -150,7 +153,7 @@ function _train(){
  run_pretrain.py ${train_cmd}"
  workerlog_id=0
  ;;
- DP8-mbs2-acc2|SD8-stage1-mbs2-acc2|SD8-stage2-mbs2-acc2|SD8-stage3-mbs2-acc2|MP2-SD4-stage1-mbs4-acc2|MP2-SP2-PP2-DP2-mbs8-acc2|MP8-mbs16-acc2|MP2-PP2-DP2-mbs8-acc2|MP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SP2-PP2-SD2-Stage1-mbs8-acc2) echo "run run_mode: ${run_mode}"
+ DP8-mbs2-acc2|SD8-stage1-mbs2-acc2|SD8-stage2-mbs2-acc2|SD8-stage3-mbs2-acc2|MP2-SD4-stage1-mbs4-acc2|MP2-SP2-PP2-DP2-mbs8-acc2|MP8-mbs16-acc2|MP2-PP2-DP2-mbs8-acc2|MP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SP2-PP2-SD2-Stage1-mbs8-acc2|MP2-SP2-PP4-VPP2-SD2-stage1-mbs2-acc8) echo "run run_mode: ${run_mode}"
  train_cmd="python -m paddle.distributed.launch --log_dir=./mylog --devices=0,1,2,3,4,5,6,7 ${PADDLE_RANK_OPTION}\
  run_pretrain.py ${train_cmd}"
  workerlog_id=0