Add scripts for inference on multiple nodes (#312)

examples/run_multinodes.sh

@@ -0,0 +1,53 @@
+set -x
+
+# nccl settings
+#export NCCL_DEBUG=INFO
+
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+export NCCL_SOCKET_IFNAME=eth0
+export GLOO_SOCKET_IFNAME=eth0
+export NCCL_P2P_DISABLE=1
+
+#export NCCL_IB_GID_INDEX=3
+#export NCCL_IB_DISABLE=0
+#export NCCL_NET_GDR_LEVEL=2
+#export NCCL_IB_QPS_PER_CONNECTION=4
+#export NCCL_IB_TC=160
+#export NCCL_IB_TIMEOUT=22
+# export NCCL_P2P=0
+
+export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
+
+export PYTHONPATH=$PWD:$PYTHONPATH
+
+
+NRANK=0
+MASTERIP=127.0.0.1
+MASTERPORT=6000
+DISTARGAS="--nnodes=2 --node_rank=${NRANK} --master_addr=${MASTERIP}  --master_port=${MASTERPORT}"
+
+SCRIPT=pixartalpha_example.py
+MODEL_ID="/cfs/dit/PixArt-XL-2-1024-MS/"
+INFERENCE_STEP=20
+
+SIZE=1024
+PARALLEL_ARGS="--ulysses_degree=1 --ring_degree=1 --pipefusion_parallel_degree=8"
+TASK_ARGS="--height=${SIZE} --width=${SIZE} --no_use_resolution_binning"
+OUTPUT_ARGS="--output_type=latent"
+CFG_ARGS="--use_cfg_parallel"
+
+# PARALLLEL_VAE="--use_parallel_vae"
+# COMPILE_FLAG="--use_torch_compile"
+
+torchrun --nproc_per_node=8 $DISTARGAS \
+./examples/$SCRIPT \
+--model=$MODEL_ID \
+$PARALLEL_ARGS \
+$TASK_ARGS \
+$OUTPUT_ARGS \
+--num_inference_steps $INFERENCE_STEP \
+--warmup_steps=1 \
+--prompt="brown dog laying on the ground with a metal bowl in front of him." \
+$CFG_ARGS \
+$PARALLLEL_VAE \
+$COMPILE_FLAG