add amp unit test case for auto_parallel ci. (PaddlePaddle#8966)

scripts/distribute/ci_case_auto.sh

@@ -52,6 +52,8 @@ function llama_case_list_auto() {
     # llama_static_auto_recompute_bs16_fp32_DP2-MP2-PP2
     # llama_static_auto_recompute_bs16_fp32_DP2-MP2-PP2-VPP2-Sharding2_stage2
     llama_static_auto_recompute_bs16_fp16_DP2-MP2-PP2-VPP2-Sharding2_stage2
+
+    llama_align_dygraph_dy2st_auto_bs2_bf16_DP2-MP1-PP1
 }
 
 function llm_gpt_case_list_auto() {
@@ -968,6 +970,98 @@ function llama_dy2st_auto_bs4_bf16_DP1-MP1-PP4-SD2-VPP3_split_bw() {
     echo "=========== $FUNCNAME run  end ==========="
 }
 
+function llama_align_dygraph_dy2st_auto_bs2_bf16_DP2-MP1-PP1() {
+    echo "=========== $FUNCNAME run begin ==========="
+    export PYTHONPATH=$root_path/:$PYTHONPATH
+    export FLAGS_call_stack_level=3
+    export NVIDIA_TF32_OVERRIDE=0
+    export FLAGS_enable_pir_api=1
+    export FLAGS_max_inplace_grad_add=3
+
+    task_name="llama_align_dygraph_dy2st_auto_bs2_bf16_dp2"
+    case_out_dir="output/$task_name"
+    case_log_dir="output/$task_name""_log"
+
+    for to_static in "0" "1"; do
+        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 0.0 \
+            --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 false \
+            --fuse_sequence_parallel_allreduce false \
+            --use_flash_attention 0 \
+            --use_fused_rope false \
+            --use_fused_rms_norm 0 \
+            --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=10.06303482
+        if [ $IS_A100 -ne 0 ];then
+            loss_base=10.056101989746093
+        fi
+        ips_base=-1
+        mem_base=-1
+        check_result $FUNCNAME ${loss_base} ${loss} ${ips_base} ${ips} ${mem_base} ${mem}
+    done
+    echo "=========== $FUNCNAME run  end ==========="
+}
+
 function llm_gpt_dygraph_auto_bs8_fp32_DP2() {
     echo "=========== $FUNCNAME run begin ==========="
     export PYTHONPATH=$root_path/:$PYTHONPATH