I didn’t use NNPack libraries during build of TVM. when doing a Auto-tuning al network for NVIDIA GPU , does it have any effect on the performance if I didn’t use NNPack. and there is another question about the auto-tuning for NVIDIA GPU,
def tune_tasks(tasks,
measure_option,
tuner=‘xgb’,
n_trial=1000,
early_stopping=None,
log_filename=‘tuning.log’,
use_transfer_learning=True,
try_winograd=True,
try_spatial_pack_depthwise=False):
try_winograd = True, try_spatial_pack_depthwise=False by default, what do these two arguments used for? and try_spatial_pack_depthwise is not used in other place in the code of tune_relay_cuda.py.
another question: when and in what conditions I should choose ‘xgb’ as the tuner ?
Thanks in advance!