xzh_23

> Thanks for the response. I wanted to make sure my slow training is coming from my machine and not from setting up the pipeline. I use the following command...

> 我的id_loss都不怎么下降 喔喔好的，感谢！！

> Thanks for your response, but I don't quite understand what you mean, could you please elaborate? My question in short: Have you tried other existing methods on bdd100k other...

> #97 when I set lr to 0.01 or 0.001 when training private datasets,training is normal, and the final result ap is lower than paper eight percent Hi, have you...

> I have encountered a problem which can be reproduced by the following minimal code: > > ```python > import torch > from spconv.pytorch import SparseConv2d, SparseConvTensor, SparseReLU > from...

Hi, have you solved it?

> Actually I tried to measure the training and inference time on a single sparse convolution layer in many ways, like using time.time(), cuda.event.record, pytorch profiling tool, but didn't see...

> > > Actually I tried to measure the training and inference time on a single sparse convolution layer in many ways, like using time.time(), cuda.event.record, pytorch profiling tool, but...

> > > > > Actually I tried to measure the training and inference time on a single sparse convolution layer in many ways, like using time.time(), cuda.event.record, pytorch profiling...

> > > > > Actually I tried to measure the training and inference time on a single sparse convolution layer in many ways, like using time.time(), cuda.event.record, pytorch profiling...