yawen-d / transnasbench Goto Github PK

Hi,

Thanks for your work on the benchmark. Truly needed!
I have some questions/problems:

• In generating architectures from the configs and training them, the data is not provided, and several files are missing, such as: "tb101/code/experiments/final5k/train_filenames_final5k.json'"
• On VEGA, it says:
  Raw images and labels should be downloaded from this [link](). train/val/test split is located in configs/dataset_split/final5k/
  But all these files are not provided.

Can you please upload them? This is important to run experiments with performance estimation mechanisms that require training architectures.

Best,
Vasco

Hi, just wondering if you release the code for the reconstruction of models.

Hi,

I'm trying to reproduce the results of the Benchmark Algorithms(Table 4 in Section 5 of the Paper), could you please push the code about the transfer schemes to the repo?

Thanks!

Hi, @yawen-d , Thanks for your great job!

I am interested in this Benchmark but I can't access the transnas-bench_v10141024.pth in https://www.noahlab.com.hk/opensource/vega/page/doc.html?path=datasets/transnasbench101

This link is invalid: https://box.saas.huaweicloud.com/p/b31f2ecde9d19e5261cd76d55fc0804f

Looking forward to your reply, thanks again

Thank you for this great benchmark and repo!,

I figured how to instantiate a macro model by creating a MacroNet with its architecture string (just MacroNet(arch.arch_str)).
How can I do this with the Micro nets?

Edit: You're supposed to use MacroNet() for these codes as well.

Thanks.

Hi,

I'm trying to run training with train_a_net.sh, but there's a missing config.py that crashes the code. Could you please push the missing file to the repo?

Thanks!