Comments (4)
meijieru
commented on May 30, 2024
It's already released. This repo contains code for both searching and retraining (if necessary)
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guvcolie
commented on May 30, 2024
It seems that you only show the script for training the final A B C model,
AtomNAS-A: bash scripts/run.sh apps/slimming/shrink/atomnas_a.yml
AtomNAS-B: bash scripts/run.sh apps/slimming/shrink/atomnas_b.yml
AtomNAS-C: bash scripts/run.sh apps/slimming/shrink/atomnas_c.yml
But if I wanna train the supernet, which script and config should I run? Thank you!
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meijieru
commented on May 30, 2024
These configs conduct search & train in one pass.
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GongXinyuu
commented on May 30, 2024
Thank you for the clarification!
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Related Issues (11)
- Doubt about the AtomNAS-C. HOT 4
- Training AtomNas-a occur AssertionError HOT 7
- Distributed training problem HOT 1
- why "create_exp_dir" create directory recursively? HOT 3
- The model you use to validate? HOT 3
- Doubt about the Imagenet results with extra modules. HOT 1
- Questions about the baseline models HOT 1
- torch 1.3 breaks train.py HOT 1
- How to search smaller flops model？ HOT 6
- Test AtomNas-a occur missing keys and size mismatch HOT 5
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