[CI] Add llama2-7b-cinn test (#9578)

* refine log
* refine

scripts/distribute/ci_case_auto.sh

@@ -102,6 +102,7 @@ function llama_case_list_auto() {
         llama_align_dy2st_fthenb_and_vpp_auto_bs2_fp32_DP1-MP1-PP4
         llama_align_dygraph_dy2st_pir_auto_pp_bs2_bf16_DP1-MP1-PP4
         llama_baichuan_pir_auto_fuse_ffn_attention_qkv_DP2_MP2_PP2
+        llama_dy2st_auto_bs2_bf16_DP2-MP1-PP1-CINN
     )
     if [ $1 = "prepare_case" ]; then
         restore_func $fun_list  
@@ -1025,6 +1026,110 @@ function llama_align_dygraph_dy2st_auto_bs2_bf16_DP2-MP1-PP1() {
     echo "=========== $FUNCNAME run  end ==========="
 }
 
+function llama_dy2st_auto_bs2_bf16_DP2-MP1-PP1-CINN() {
+    echo "=========== $FUNCNAME run begin ==========="
+    export PYTHONPATH=$root_path/:$PYTHONPATH
+    export FLAGS_call_stack_level=3
+    export FLAGS_cudnn_deterministic=1
+    export NVIDIA_TF32_OVERRIDE=0
+    export FLAGS_embedding_deterministic=1
+    export FLAGS_flash_attn_version=v1
+    export FLAGS_enable_pir_api=1
+    export FLAGS_max_inplace_grad_add=4
+    export PARALLEL_CROSS_ENTROPY=true
+
+    export FLAGS_use_cinn=1
+    export FLAGS_dist_prim_all=1
+    export FLAGS_prim_forward_blacklist="pd_op.stack;pd_op.squeeze;pd_op.swiglu;pd_op.squared_l2_norm"
+    export FLAGS_prim_backward_blacklist="swiglu_grad"
+
+    task_name="llama_dy2st_auto_bs2_bf16_DP2-MP1-PP1-CINN"
+    case_out_dir="output/$task_name"
+    case_log_dir="output/$task_name""_log"
+    rm -rf $case_out_dir
+    rm -rf $case_log_dir
+
+    python -u -m paddle.distributed.launch \
+        --gpus "0,1" \
+        --log_dir $case_log_dir \
+        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 $case_out_dir \
+        --split 949,50,1 \
+        --weight_decay 0.01 \
+        --warmup_ratio 0.01 \
+        --warmup_steps 30 \
+        --max_grad_norm 1.0 \
+        --learning_rate 3e-05 \
+        --min_learning_rate 3e-06 \
+        --max_steps 10 \
+        --logging_steps 10 \
+        --eval_steps 1000 \
+        --save_steps 50000 \
+        --continue_training 0 \
+        --do_train true \
+        --do_eval false \
+        --do_predict false \
+        --disable_tqdm true \
+        --skip_profile_timer true \
+        --save_total_limit 2 \
+        --device gpu \
+        --disable_tqdm true \
+        --dataloader_num_workers 1 \
+        --distributed_dataloader 0 \
+        --enable_auto_parallel 1 \
+        --per_device_train_batch_size 1 \
+        --gradient_accumulation_steps 1 \
+        --per_device_eval_batch_size 2 \
+        --recompute false \
+        --recompute_use_reentrant true \
+        --recompute_granularity full \
+        --pp_recompute_interval 0 \
+        --bf16 1 \
+        --fp16_opt_level "O2"  \
+        --amp_custom_black_list "reduce_sum" "c_softmax_with_cross_entropy" \
+        --amp_custom_white_list "lookup_table" "lookup_table_v2" \
+        --amp_master_grad 1 \
+        --fuse_attention_ffn true \
+        --fuse_attention_qkv true \
+        --fuse_sequence_parallel_allreduce false \
+        --use_flash_attention 0 \
+        --use_fused_rope false \
+        --use_fused_rms_norm false \
+        --max_seq_length 4096 \
+        --sep_parallel_degree 1 \
+        --sequence_parallel false \
+        --pipeline_parallel_degree 1 \
+        --sharding_parallel_degree 1 \
+        --tensor_parallel_degree 1 \
+        --virtual_pp_degree 1 \
+        --pipeline_schedule_mode "VPP" \
+        --sharding "" \
+        --to_static ${to_static} \
+        --num_hidden_layers 2 \
+        >>${log_path}/$FUNCNAME 2>&1
+    loss=`cat $case_log_dir/workerlog.0 | grep 'global_step: 10' | awk -F 'loss: ' '{print $2}' | awk -F ',' '{print $1}'`
+    ips=-1
+    mem=-1
+    echo "result: to_static=$to_static loss=$loss ips=$ips mem=$mem"
+    loss_base=9.99302597
+    if [ $IS_A100 -ne 0 ];then
+        loss_base=10.20988007
+    fi
+    ips_base=-1
+    mem_base=-1
+    check_result $FUNCNAME ${loss_base} ${loss} ${ips_base} ${ips} ${mem_base} ${mem}
+
+    unset FLAGS_use_cinn
+    unset FLAGS_dist_prim_all
+    unset FLAGS_prim_forward_blacklist
+    unset FLAGS_prim_backward_blacklist
+    echo "=========== $FUNCNAME run  end ==========="
+}
+
 function llama_align_dygraph_dy2st_pir_auto_grad_merge_bs2_fp32_DP1-MP1-PP1() {
     echo "=========== $FUNCNAME run begin ==========="
     export PYTHONPATH=$root_path/:$PYTHONPATH