Comments (4)
Hi, many thanks for your information! What's the numpy and pytorch version in your env? Because it's weird that I can successfully run the search.
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As a reference, here are some lib versions in my env:
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Thanks again for your patient reply. My numpy and Pytorch versions are 1.19.1 and 1.1.0 in my env.
Maybe there is something wrong with my numpy version. Because the version you requested is 1.16.3 .
I will try to modify it. Thank you for your answer.
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Hi, thank you. It is indeed a problem with the numpy version in my environment. According to your instructions, the problem has now been solved and I can start the search task normally.
I hope the following steps can successfully complete your entire FTT-NAS mission. Thank you very much!
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Related Issues (20)
- Hardware: Profiling Network Generation Problem
- About FTT-NAS GPU search problem... HOT 3
- After you revised the project last time, I tried to run FTT-NAS search. It was normal at first, but after 10epochs were found, an error was reported when running the test() method... HOT 3
- ray_dispatcher
- ray version HOT 1
- Adversarial Supernet training HOT 5
- Similar DAG encoding scheme to an existing paper HOT 1
- Generate sample config error and FBNet support? HOT 1
- nasbench.api.OutOfDomainError: unsupported op none HOT 1
- The program is stuck in an endless loop, when run awnas search examples/nasbench/nasbench-101_gates_sa.yaml HOT 1
- How to tune each rollout and how to use the Pareto-based EA HOT 2
- In aw_nas/aw_nas/objective/zerocost.py, the module foresight cannot be imported. HOT 2
- How to change the environment variable “AWNAS_HOME“ HOT 2
- Missing data dumping code for NAS-Bench-201 in gates. HOT 2
- Question about the supernet training?
- question about supernet training.
- Code for TA-GATES HOT 3
- Regrading TA-GATES dataset HOT 1
- ENAS, NB301 dataset preprocessing code for TA-GATES HOT 6
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