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Running
on
T4
File size: 1,199 Bytes
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#!/bin/bash
DOCKER_IMAGE="mirrors.tencent.com/ronnysong_rd/fastdet:torch2.0.1-cuda11.7"
if [ ! -n "$DEBUG" ]; then
COMMAND_PREFIX="pip3 install -e ."
else
COMMAND_PREFIX="pip3 install -q -e third_party/mmengine;
pip3 install -q -e third_party/mmdetection;
pip3 install -q -e third_party/mmcv;
pip3 install -q -e third_party/mmyolo;
pip3 install -q -e ."
fi
sudo nvidia-docker run \
--rm \
-it \
-e NVIDIA_VISIBLE_DEVICES=all \
--env="DISPLAY" \
--env="QT_X11_NO_MITSHM=1" \
--volume="$HOME/.Xauthority:/root/.Xauthority:rw" \
--shm-size=20gb \
--network=host \
-v /apdcephfs/:/apdcephfs/ \
-v /apdcephfs_cq2/:/apdcephfs_cq2/ \
-v /apdcephfs_cq3/:/apdcephfs_cq3/ \
-v /data/:/data/ \
-w $PWD \
$DOCKER_IMAGE \
bash -c "export TRANSFORMERS_CACHE=$PWD/work_dirs/.cache/transformers;
export TORCH_HOME=$PWD/work_dirs/.cache/torch;
export CLIP_CACHE=$PWD/work_dirs/.cache/clip;
export HF_HOME=$PWD/work_dirs/.cache/hf;
export TOKENIZERS_PARALLELISM=false;
$COMMAND_PREFIX
$*"
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