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As far as I can see, in ```demo.py``` the code does not calculate DIRE in inference progress. Instead, it directlt put image in ResNet after several transition.
Or did I miss something?
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Hello, @baharanm.
I really enjoyed your paper titled "Coresets for Data-efficient Training of Machine Learning".
That's really nice work!
I am trying to run your code, but it seems that there is a …
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Please help me to solve this issue
![image](https://user-images.githubusercontent.com/61927056/113480598-b368a000-94b2-11eb-97fb-3ebf82534fd1.png)
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## ❓ Questions and Help
When I used se-resnet50 backbone, the accuracy dropped by 3 points , I used pretrained form https://github.com/Cadene/pretrained-models.pytorch
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Hey, Good work!! Could you please include the ResNet-L50.ckpt file in the repo.
Thanks,
Shrey
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Hello, can you provide the corresponding yaml file?
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when l set --sample_duration 32 , it will have below error, do you know how to solve ?
![image](https://github.com/user-attachments/assets/2ad11323-cee4-41fc-95ab-a8e374531231)
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Hello,
Thanks for your amazing work. In Posenet and Rootnet, if I change the resnet type value from 50 to 101 and 152, I get errors with the current snapshots. How do I work around this?
Errors…
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**I use this code copy to model in fb.resnet.torch**
https://github.com/szagoruyko/wide-residual-networks/blob/master/pretrained/wide-resnet.lua
**Train script :**
th main.lua -netType wider…
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Running `python -m tracy -m pytest models/demos/resnet/tests/test_perf_resnet.py::test_perf_bare_metal[20-0.015-25]` on a Tracy only build causes the following:
``` RuntimeError: TT_THROW @ tt_metal…