add model name to configs

This commit is contained in:
yinwanqi
2023-06-15 01:14:40 +08:00
parent 028331d707
commit e1be7d7db9
25 changed files with 136 additions and 315 deletions
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -30,7 +30,7 @@ dataset_list = ['Human36M', 'MSCOCO', 'MPII', 'AGORA', 'EHF', 'SynBody', 'GTA_Hu
'EgoBody_Egocentric', 'EgoBody_Kinect', 'UBody', 'PW3D', 'MuCo', 'PROX']
trainset_3d = ['AGORA']
trainset_2d = []
trainset_humandata = ['GTA_Human2', 'BEDLAM', 'SynBody']
trainset_humandata = ['GTA_Human2', 'BEDLAM', 'SynBody', 'SPEC']
testset = 'EHF'
use_cache = True
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
agora_fix_global_orient_transl = True
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
agora_fix_global_orient_transl = True
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
agora_fix_global_orient_transl = True
@@ -29,7 +29,7 @@ dataset_list = ['Human36M', 'MSCOCO', 'MPII', 'AGORA', 'EHF', 'SynBody', 'GTA_Hu
'EgoBody_Egocentric', 'EgoBody_Kinect', 'UBody', 'PW3D', 'MuCo', 'PROX']
trainset_3d = []
trainset_2d = []
trainset_humandata = ['RenBody_HiRes']
trainset_humandata = ['RenBody_HiRes', 'RenBody', 'BEDLAM', 'SynBody', 'CHI3D']
testset = 'EHF'
use_cache = True
@@ -18,7 +18,7 @@ bbox_ratio = 1.2
# continue
continue_train = True
start_over = True
pretrained_model_path = '../output/train_exp118_20230607_192422/model_dump/snapshot_9.pth.tar'
pretrained_model_path = '../path_to_smpler_x_h32/snapshot.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -15,9 +15,8 @@ syncbn = True
bbox_ratio = 1.2
# continue
continue_train = True
start_over = False
pretrained_model_path = '../output/train_exp110_20230602_211349/model_dump/snapshot_0.pth.tar'
continue_train = False
start_over = True
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp118_20230602_211120/model_dump/snapshot_0.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -15,9 +15,8 @@ syncbn = True
bbox_ratio = 1.2
# continue
continue_train = True
start_over = False
pretrained_model_path = '../output/train_exp114_20230602_194715/model_dump/snapshot_0.pth.tar'
continue_train = False
start_over = True
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp111_20230602_184623/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -17,7 +17,6 @@ bbox_ratio = 1.2
# continue
continue_train = False
start_over = True
# pretrained_model_path = '../output/train_exp78_20230526_105124/model_dump/snapshot_4.pth.tar'
# dataset setting
agora_fix_betas = True
@@ -15,9 +15,8 @@ syncbn = True
bbox_ratio = 1.2
# continue
continue_train = True
start_over = False
pretrained_model_path = '../output/train_exp97_20230527_164023/model_dump/snapshot_0.pth.tar'
continue_train = False
start_over = True
# dataset setting
agora_fix_betas = True
@@ -15,9 +15,8 @@ syncbn = True
bbox_ratio = 1.2
# continue
continue_train = True
start_over = False
pretrained_model_path = '../output/train_exp106_20230602_211720/model_dump/snapshot_0.pth.tar'
continue_train = False
start_over = True
# dataset setting
agora_fix_betas = True
+119 -131
View File
@@ -1,4 +1,5 @@
#!/usr/bin/env bash
#!/usr/bin/env bash
set -x
@@ -8,84 +9,103 @@ GPUS=$2
RES_PATH=$3
CKPT=$4
# model_path=../output/train_gta_synbody_ft_20230410_132110/model_dump/snapshot_2.pth.tar
GPUS_PER_NODE=$((${GPUS}<8?${GPUS}:8))
CPUS_PER_TASK=${CPUS_PER_TASK:-2}
SRUN_ARGS=${SRUN_ARGS:-""}
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_PW3D \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset PW3D \
# # --agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_EgoBody_Egocentric \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset EgoBody_Egocentric \
# # --agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_UBody \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset UBody \
# # --agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_SHAPY \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset SHAPY \
# --shapy_eval_split test
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_PW3D \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset PW3D \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_EgoBody_Egocentric \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset EgoBody_Egocentric \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_UBody \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset UBody \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_EHF \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset EHF \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_AGORA_val \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset AGORA \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
--exclusive \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
@@ -93,69 +113,37 @@ srun -p ${PARTITION} \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset ARCTIC \
# --agora_benchmark agora_model_val
--agora_benchmark agora_model_val
w
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_RenBody \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset RenBody_HiRes \
--agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_RenBody_HiRes \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset RenBody_HiRes \
# # --agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_EHF \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset EHF \
# # --agora_benchmark agora_model_val
# PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME}_ep${CKPT}_AGORA_val \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset AGORA \
# # --agora_benchmark agora_model_val
# # PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
# # srun -p ${PARTITION} \
# # --job-name=${JOB_NAME} \
# # --gres=gpu:${GPUS_PER_NODE} \
# # --ntasks-per-node=1 \
# # --cpus-per-task=${CPUS_PER_TASK} \
# # --kill-on-bad-exit=1 \
# # ${SRUN_ARGS} \
# # python test.py \
# # --num_gpus ${GPUS_PER_NODE} \
# # --exp_name output/test_${JOB_NAME} \
# # --result_path ${RES_PATH} \
# # --ckpt_idx ${CKPT} \
# # --testset AGORA \
# # --agora_benchmark test_only # agora-test with non-agora model; 'agora_model_test' for testing agora model
# # --agora_benchmark agora_model_test
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_AGORA_test \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset AGORA \
--agora_benchmark agora_model_test
-153
View File
@@ -1,153 +0,0 @@
#!/usr/bin/env bash
#!/usr/bin/env bash
set -x
PARTITION=Zoetrope
JOB_NAME=$1
GPUS=$2
RES_PATH=$3
CKPT=$4
# model_path=../output/train_gta_synbody_ft_20230410_132110/model_dump/snapshot_2.pth.tar
GPUS_PER_NODE=$((${GPUS}<8?${GPUS}:8))
CPUS_PER_TASK=${CPUS_PER_TASK:-2}
SRUN_ARGS=${SRUN_ARGS:-""}
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_PW3D \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset PW3D \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_EgoBody_Egocentric \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset EgoBody_Egocentric \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_UBody \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset UBody \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_EHF \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset EHF \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_AGORA_val \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset AGORA \
--agora_benchmark agora_model_val
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_ARCTIC \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset ARCTIC \
--agora_benchmark agora_model_val
w
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
srun -p ${PARTITION} \
--job-name=${JOB_NAME} \
--gres=gpu:${GPUS_PER_NODE} \
--ntasks-per-node=1 \
--cpus-per-task=${CPUS_PER_TASK} \
--quotatype=auto \
--kill-on-bad-exit=1 \
${SRUN_ARGS} \
python test.py \
--num_gpus ${GPUS_PER_NODE} \
--exp_name output/test_${JOB_NAME}_ep${CKPT}_RenBody \
--result_path ${RES_PATH} \
--ckpt_idx ${CKPT} \
--testset RenBody_HiRes \
--agora_benchmark agora_model_val
# srun -p ${PARTITION} \
# --job-name=${JOB_NAME} \
# --gres=gpu:${GPUS_PER_NODE} \
# --ntasks-per-node=1 \
# --cpus-per-task=${CPUS_PER_TASK} \
# --kill-on-bad-exit=1 \
# ${SRUN_ARGS} \
# python test.py \
# --num_gpus ${GPUS_PER_NODE} \
# --exp_name output/test_${JOB_NAME} \
# --result_path ${RES_PATH} \
# --ckpt_idx ${CKPT} \
# --testset AGORA \
# --agora_benchmark agora_model_test
# # --agora_benchmark test_only # agora-test with non-agora model; 'agora_model_test' for testing agora model
+1 -1
View File
@@ -8,7 +8,7 @@ GPUS=$2
CONFIG=$3
GPUS_PER_NODE=$((${GPUS}<8?${GPUS}:8))
CPUS_PER_TASK=4 # ${CPUS_PER_TASK:-2}
CPUS_PER_TASK=4
SRUN_ARGS=${SRUN_ARGS:-""}
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \