Files
ascend-tools/train/yaml/YoLoV3.yaml
T
2020-10-19 20:22:23 +08:00

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YAML

tensorflow_config:
#mode支持single或者 multi
mode: single
data_url: /opt/npu/dataset
# train 或者 evaluate
runmode: train
#仅在evaluate时用到
ckpt_path: /train/benchmark-master720/train/atlas_benchmark-master/object_detection/yolov3/tensorflow/result/TrainingJob-20200724115042
total_epoches: 1
save_epoch: 3
#single 默认32 multi默认16
batch_size: 32
# 指定 device id, 多个 id 使用空格分隔, 数量需与 rank_size 相同
device_group_1p: 0
device_group_2p: 0 1
device_group_4p: 0 1 2 3
# 仅多机执行需要配置: ip1:卡数量1,ip2:卡数量2
mpirun_ip: 90.90.176.152:8,90.90.176.154:8
# docker 镜像名称:版本号
docker_image: mpirun3:latest
profiling_mode: false
profiling_options: training_trace:task_trace
fp_point: yolov3/darknet53_body/Conv/Conv2D
bp_point: cond_1/Momentum/update_yolov3/yolov3_head/Conv_9/weights/ApplyMomentum
aicpu_profiling_mode: false