#!/bin/bash
source /usr/local/Ascend/cann/set_env.sh
export CUDA_DEVICE_MAX_CONNECTIONS=1
export ASCEND_SLOG_PRINT_TO_STDOUT=0
export ASCEND_GLOBAL_LOG_LEVEL=3
export TASK_QUEUE_ENABLE=2
export COMBINED_ENABLE=1
export CPU_AFFINITY_CONF=1
export HCCL_CONNECT_TIMEOUT=1200
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export MULTI_STREAM_MEMORY_REUSE=2
MASTER_ADDR=localhost
MASTER_PORT=6222
NNODES=1
NODE_RANK=0
NPUS_PER_NODE=8
WORLD_SIZE=$(($NPUS_PER_NODE * $NNODES))
TP=1
PP=1
CP=8
MBS=1
GBS=$(($WORLD_SIZE*$MBS/$CP/$TP))
MM_MODEL="examples/hunyuanvideo_1.5/i2v/inference_model_15.json"
DISTRIBUTED_ARGS="
--nproc_per_node $NPUS_PER_NODE \
--nnodes $NNODES \
--node_rank $NODE_RANK \
--master_addr $MASTER_ADDR \
--master_port $MASTER_PORT
"
MM_ARGS="
--mm-model $MM_MODEL
"
GPT_ARGS="
--tensor-model-parallel-size ${TP} \
--pipeline-model-parallel-size ${PP} \
--context-parallel-size ${CP} \
--micro-batch-size ${MBS} \
--global-batch-size ${GBS} \
--lr 5e-6 \
--min-lr 5e-6 \
--train-iters 5010 \
--weight-decay 0 \
--clip-grad 0.0 \
--adam-beta1 0.9 \
--adam-beta2 0.999 \
--no-gradient-accumulation-fusion \
--no-load-optim \
--no-load-rng \
--no-save-optim \
--no-save-rng \
--seed 42 \
"
torchrun $DISTRIBUTED_ARGS inference_sora.py $MM_ARGS $GPT_ARGS 2>&1 | tee ./infer_i2v_hunyuanvideo_15.log