[AutoParallel-PIR] LLaMA for AutoParallel-PIR

llm/llama/auto_parallel/run_pretrain_auto_pir.sh

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+# 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
+
+task_name="llama_auto_mp2"
+rm -rf output/$task_name/
+rm -rf "output/$task_name""_log"
+
+export SOT_LOG_LEVEL=4
+export PYTHONPATH=../../../:$PYTHONPATH
+#ulimit -c unlimited
+#export GLOG_v=10
+
+# export FLAGS_call_stack_level=3
+# export FLAGS_use_cuda_managed_memory=true
+
+# export FLAGS_embedding_deterministic=1        
+# export FLAGS_cudnn_deterministic=1
+# export NVIDIA_TF32_OVERRIDE=0
+
+to_static=1  # 是否开启动转静训练
+export FLAGS_enable_pir_api=1
+
+python -u  -m paddle.distributed.launch \
+    --gpus "0,1" \
+    --log_dir "log_pir_mp2" \
+    run_pretrain_auto.py \
+    --model_type "llama" \
+    --model_name_or_path "facebook/llama-7b" \
+    --tokenizer_name_or_path "facebook/llama-7b" \
+    --input_dir "./data" \
+    --output_dir "output/$task_name" \
+    --split 949,50,1 \
+    --max_seq_length 2048 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 0 \
+    --gradient_accumulation_steps 1 \
+    --use_flash_attention 0 \
+    --use_fused_rms_norm 0 \
+    --fp16 0 \
+    --fp16_opt_level "O2"  \
+    --scale_loss 1024 \
+    --pipeline_parallel_degree 1 \
+    --tensor_parallel_degree 2 \
+    --sharding_parallel_degree 1 \
+    --learning_rate 0.0001 \
+    --min_learning_rate 0.00001 \
+    --max_steps 10 \
+    --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 0\
+    --device "gpu" \
+    --data_impl "mmap" \
+    --enable_auto_parallel 1 \
+    --max_grad_norm 1.0 \
+    --to_static $to_static \
+    --num_hidden_layers 2 \
+    --hidden_size 1024 \
+    --intermediate_size 4096 \