Create make_llava_ov_wds.sh

Author: ftgreat

examples/vl_datasets/make_llava_ov_wds.sh

@@ -0,0 +1,97 @@
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+export NCCL_SOCKET_IFNAME=eth0
+export NCCL_IB_DISABLE=0
+export NCCL_IB_CUDA_SUPPORT=1
+export NCCL_IB_GID_INDEX=0
+export NCCL_DEBUG=INFO
+export OMP_NUM_THREADS=4
+export GLOO_SOCKET_IFNAME=eth0
+export NCCL_IB_HCA=mlx5_2,mlx5_5
+export CUDA_LAUNCH_BLOCKING=1
+
+LLaVA-NeXT-HOME="Path_Of_LLaVA-NeXT"
+VISION_MODEL_PATH="Path_Of_VISION_MODEL"
+PROMPT_VERSION="qwen_1_5"
+
+# stage1
+image_aspect_ratio=square
+
+# other stages
+image_aspect_ratio=anyres_max_9
+
+set -u
+  DATA_PATH=$1
+  EXPNAME_PATH=$2
+  HOSTFILE=$3
+set +u
+
+echo "BASE_RUN_NAME: ${EXPNAME_PATH}"
+
+CKPT_PATH="./checkpoints"
+
+mkdir -p $CKPT_PATH
+mkdir -p $EXPNAME_PATH
+LOGFILE=$EXPNAME_PATH/exp.log
+i=0
+NNodes=`wc -l ${HOSTFILE} | cut -d " " -f1`
+MASTER_ADDR=`head -n 1 ${HOSTFILE} | cut -d " " -f1`
+echo "Master node: ${MASTER_ADDR}"
+echo ${NNodes}
+echo ${i}
+echo ${MASTER_ADDR}
+
+for ip in `cat ${HOSTFILE} | cut -d " " -f1`
+do
+    echo "Starting node ${i}/${NNodes}: ${ip}"
+    ssh $ip \
+    "cd ${PWD} && \
+    export WANDB_MODE=offline && \
+    export ACCELERATE_CPU_AFFINITY=1 && \
+    export PYTHONPATH=$LLaVA-NeXT-HOME:$PYTHONPATH && \
+    torchrun --nproc_per_node=4 --nnodes=${NNodes} --node_rank=${i} --master_addr=${MASTER_ADDR} --master_port=29513 llava_ov_wds.py \
+        --model_name_or_path ${CKPT_PATH} \
+        --version ${PROMPT_VERSION} \
+        --data_path $DATA_PATH \
+        --image_folder playground/data \
+        --video_folder ./onevision_data/videos \
+        --mm_tunable_parts="mm_mlp_adapter" \
+        --mm_vision_tower_lr=2e-6 \
+        --vision_tower ${VISION_MODEL_PATH} \
+        --mm_projector_type mlp2x_gelu \
+        --mm_vision_select_layer -2 \
+        --mm_use_im_start_end False \
+        --mm_use_im_patch_token False \
+        --mm_spatial_pool_mode "bilinear" \
+        --group_by_modality_length True \
+        --image_aspect_ratio ${image_aspect_ratio} \
+        --image_grid_pinpoints '(1x1),...,(6x6)' \
+        --mm_patch_merge_type spatial_unpad \
+        --bf16 True \
+        --run_name $EXPNAME_PATH \
+        --output_dir "${EXPNAME_PATH}" \
+        --num_train_epochs 1 \
+        --per_device_train_batch_size 1 \
+        --per_device_eval_batch_size 1 \
+        --gradient_accumulation_steps 1 \
+        --evaluation_strategy "no" \
+        --save_strategy "steps" \
+        --save_steps 1000 \
+        --save_total_limit 20 \
+        --learning_rate 1e-5 \
+        --weight_decay 0. \
+        --warmup_ratio 0.03 \
+        --lr_scheduler_type "cosine" \
+        --logging_steps 1 \
+        --model_max_length 32768 \
+        --gradient_checkpointing True \
+        --dataloader_num_workers 2 \
+        --lazy_preprocess True \
+        --torch_compile True \
+        --torch_compile_backend "inductor" \
+        --dataloader_drop_last True \
+        --seed 42 \
+        --do_train False \
+        --frames_upbound 32 1>>$LOGFILE.$ip 2>&1" &
+    i=`expr $i + 1`
+done