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training-rlgpu.sh
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export WANDB_API_KEY=8eca0f0d4e3d49c3728c9aa0e00b316c2d80012f
export DATASET_NAME=all-3004
## TrackletNet gt-supervised
#CUDA_VISIBLE_DEVICES=0,1,2 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target full \
# --dataset_name $DATASET_NAME/lanegraph &
#
#sleep 10
#
## TrackletNet tracklet-supervised
#CUDA_VISIBLE_DEVICES=3,4,5 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target full \
# --dataset_name $DATASET_NAME/tracklets_joint
## SuccNet tracklets_raw supervised (no TrackletNet)
#CUDA_VISIBLE_DEVICES=2 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target successor \
# --input_layers rgb \
# --dataset_name $DATASET_NAME/tracklets_raw &
#
#sleep 10
# SuccNet tracklets_joint supervised (no TrackletNet)
CUDA_VISIBLE_DEVICES=0,1 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
--config cfg-rlgpu.yaml \
--target successor \
--input_layers rgb \
--dataset_name $DATASET_NAME/tracklets_joint &
sleep 10
# SuccNet tracklets_joint supervised (TrackletNet D)
CUDA_VISIBLE_DEVICES=2,3 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
--config cfg-rlgpu.yaml \
--target successor \
--input_layers rgb+drivable \
--full-checkpoint checkpoints/serene-voice-204/e-016.pth \
--dataset_name $DATASET_NAME/tracklets_joint &
sleep 10
# SuccNet tracklets_joint supervised (TrackletNet D + A)
CUDA_VISIBLE_DEVICES=4,5 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
--config cfg-rlgpu.yaml \
--target successor \
--input_layers rgb+drivable+angles \
--full-checkpoint checkpoints/serene-voice-204/e-016.pth \
--dataset_name $DATASET_NAME/tracklets_joint
### SuccNet gt-supervised
#CUDA_VISIBLE_DEVICES=0,1 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target successor \
# --input_layers rgb \
# --dataset_name $DATASET_NAME/lanegraph &
#
#sleep 10
#
### SuccNet gt-supervised (TrackletNet A + D)
#CUDA_VISIBLE_DEVICES=2,3 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target successor \
# --input_layers rgb+drivable \
# --full-checkpoint /home/buechner/zuern/self-supervised-graph/checkpoints/dulcet-water-210/e-050.pth \
# --dataset_name $DATASET_NAME/lanegraph &
#
#sleep 10
#
### SuccNet gt-supervised (TrackletNet A + D)
#CUDA_VISIBLE_DEVICES=4,5 WANDB_API_KEY=$WANDB_API_KEY ~/zuern/geometric/bin/python train_regressor_pos_query.py \
# --config cfg-rlgpu.yaml \
# --target successor \
# --input_layers rgb+drivable+angles \
# --full-checkpoint /home/buechner/zuern/self-supervised-graph/checkpoints/dulcet-water-210/e-050.pth \
# --dataset_name $DATASET_NAME/lanegraph &
#