set -x

# export NCCL_PXN_DISABLE=1
# # export NCCL_DEBUG=INFO
# export NCCL_SOCKET_IFNAME=eth0
# 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_DEVICE_MAX_CONNECTIONS=1

export PYTHONPATH=$PWD:$PYTHONPATH

# Select the model type
# The model is downloaded to a specified location on disk, 
# or you can simply use the model's ID on Hugging Face, 
# which will then be downloaded to the default cache path on Hugging Face.

export COCO_PATH="/cfs/fjr2/xDiT/coco/annotations/captions_val2014.json"
export MODEL_TYPE="Pixart-alpha"
# Configuration for different model types
# script, model_id, inference_step
declare -A MODEL_CONFIGS=(
    ["Pixart-alpha"]="pixartalpha_example.py /cfs/dit/PixArt-XL-2-1024-MS 20"
    ["Pixart-sigma"]="pixartsigma_example.py /cfs/dit/PixArt-Sigma-XL-2-2K-MS 20"
)

if [[ -v MODEL_CONFIGS[$MODEL_TYPE] ]]; then
    IFS=' ' read -r SCRIPT MODEL_ID INFERENCE_STEP <<< "${MODEL_CONFIGS[$MODEL_TYPE]}"
    export SCRIPT MODEL_ID INFERENCE_STEP
else
    echo "Invalid MODEL_TYPE: $MODEL_TYPE"
    exit 1
fi

mkdir -p ./results

TASK_ARGS="--height 1024 --width 1024 --no_use_resolution_binning"
FAST_ATTN_ARGS="--use_fast_attn --window_size 512 --n_calib 4 --threshold 0.15 --use_cache --coco_path $COCO_PATH"


# By default, num_pipeline_patch = pipefusion_degree, and you can tune this parameter to achieve optimal performance.
# PIPEFUSION_ARGS="--num_pipeline_patch 8 "

# For high-resolution images, we use the latent output type to avoid runing the vae module. Used for measuring speed.
# OUTPUT_ARGS="--output_type latent"

# PARALLLEL_VAE="--use_parallel_vae"

# Another compile option is `--use_onediff` which will use onediff's compiler.
# COMPILE_FLAG="--use_torch_compile"

torchrun --nproc_per_node=1 ./examples/$SCRIPT \
--model $MODEL_ID \
$PARALLEL_ARGS \
$TASK_ARGS \
$PIPEFUSION_ARGS \
$OUTPUT_ARGS \
--num_inference_steps $INFERENCE_STEP \
--warmup_steps 0 \
--prompt "A small dog" \
$CFG_ARGS \
$FAST_ATTN_ARGS \
$PARALLLEL_VAE \
$COMPILE_FLAG
