Yixiao Fang b6585cc1f1
[Fix] Fix knn multi-gpu bug (#634)
* update knn

* update

* fix bugs of knn

* update entrance scripts

* update configs and related codes

* update sampler config

* remove redundance

* update

* update docs

* fix lint

* update logic of loading ckpt
2022-12-23 11:45:48 +08:00

31 lines
804 B
Bash

#!/usr/bin/env bash
set -e
set -x
PARTITION=$1
JOB_NAME=$2
CFG=$3
PRETRAIN=$4 # pretrained model
PY_ARGS=${@:5}
GPUS=${GPUS:-8}
GPUS_PER_NODE=${GPUS_PER_NODE:-8}
CPUS_PER_TASK=${CPUS_PER_TASK:-5}
SRUN_ARGS=${SRUN_ARGS:-""}
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks=${GPUS} \
--ntasks-per-node=${GPUS_PER_NODE} \
--cpus-per-task=${CPUS_PER_TASK} \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python -u tools/benchmarks/classification/knn_imagenet/test_knn.py $CFG \
--launcher="slurm" \
--cfg-options model.backbone.init_cfg.type=Pretrained \
model.backbone.init_cfg.checkpoint=$PRETRAIN \
model.backbone.init_cfg.prefix='backbone.' \
${PY_ARGS}