2.2 KiB
2.2 KiB
Test a model
NAS
To test nas method, you can use following command
python tools/${task}/test_${task}.py ${CONFIG_FILE} ${CHECKPOINT_PATH} --cfg-options algorithm.mutable_cfg=${MUTABLE_CFG_PATH} [optional arguments]
MUTABLE_CFG_PATH
: Path ofmutable_cfg
.mutable_cfg
represents config for mutable of the subnet searched out, used to specify different subnets for testing. An example formutable_cfg
can be found here.
The usage of optional arguments are the same as corresponding tasks like mmclassification, mmdetection and mmsegmentation.
Pruning
Split Checkpoint(Optional)
If you train a slimmable model during retrain, checkpoints of different subnets are actually fused in only one checkpoint. You can split this checkpoint to multiple independent checkpoints by using following command
python tools/model_converters/split_checkpoint.py ${CONFIG_FILE} ${CHECKPOINT_PATH} --channel-cfgs ${CHANNEL_CFG_PATH} [optional arguments]
CHANNEL_CFG_PATH
: A list of paths ofchannel_cfg
. For example, when you retrain a slimmable model, your command will be like--cfg-options algorithm.channel_cfg=cfg1,cfg2,cfg3
. And your command here should be--channel-cfgs cfg1 cfg2 cfg3
. The order of them should be the same.
Test
To test pruning method, you can use following command
python tools/${task}/test_${task}.py ${CONFIG_FILE} ${CHECKPOINT_PATH} --cfg-options algorithm.channel_cfg=${CHANNEL_CFG_PATH} [optional arguments]
CHANNEL_CFG_PATH
: Path ofchannel_cfg
.channel_cfg
represents config for channel of the subnet searched out, used to specify different subnets for testing. An example forchannel_cfg
can be found here, and the usage can be found here.
Distillation
To test distillation method, you can use following command
python tools/${task}/test_${task}.py ${CONFIG_FILE} ${CHECKPOINT_PATH} [optional arguments]