[Auto Parallel] Support dynamic semi-auto training in Llama2 model (#…

…7851)

* update

* add ci

---------

Co-authored-by: liuzhenhai93 <liuzhenhai93@outlook.com>

llm/llama/auto_parallel/run_pretrain_3D_auto.sh

@@ -0,0 +1,78 @@
+# Copyright (c) 2023 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.
+
+# just for debug
+
+set -x
+unset CUDA_VISIBLE_DEVICES
+
+export FLAGS_call_stack_level=3
+export FLAGS_use_cuda_managed_memory=true
+
+task_name="llama_auto_dp2mp2pp2"
+rm -rf output/$task_name/
+rm -rf "output/$task_name""_log"
+
+export SOT_LOG_LEVEL=4
+export PYTHONPATH=../../../:$PYTHONPATH
+#ulimit -c unlimited
+#export GLOG_v=10
+
+rm -rf log_auto
+
+export FLAGS_embedding_deterministic=1        
+export FLAGS_cudnn_deterministic=1
+export NVIDIA_TF32_OVERRIDE=0
+
+python3.8 -u  -m paddle.distributed.launch \
+    --gpus "0,1,2,3,4,5,6,7" \
+    --log_dir "auto_3d" \
+    run_pretrain_3D_auto.py \
+    --model_type "llama" \
+    --model_name_or_path "facebook/llama-7b" \
+    --tokenizer_name_or_path "facebook/llama-7b" \
+    --input_dir "./data" \
+    --output_dir "output/$task_name" \
+    --split 949,50,1 \
+    --max_seq_length 2048 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 2 \
+    --gradient_accumulation_steps 2 \
+    --use_flash_attention 0 \
+    --use_fused_rms_norm 1 \
+    --fp16 0 \
+    --fp16_opt_level "O2"  \
+    --scale_loss 1024 \
+    --pipeline_parallel_degree 2 \
+    --tensor_parallel_degree 2 \
+    --sharding_parallel_degree 1 \
+    --learning_rate 0.0001 \
+    --min_learning_rate 0.00001 \
+    --max_steps 20000 \
+    --save_steps 5000000 \
+    --weight_decay 0.01 \
+    --warmup_ratio 0.01 \
+    --logging_steps 1\
+    --dataloader_num_workers 1 \
+    --sharding "" \
+    --eval_steps 1000000 \
+    --disable_tqdm true \
+    --continue_training 0\
+    --recompute 0 \
+    --do_train \
+    --do_eval \
+    --device "gpu" \
+    --data_impl "mmap" \
+    --parallel_mode "auto" \
+    --max_grad_norm 1.0 \