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### 🐛 Describe the bug
torchbench_amp_fp16_training
xpu train timm_regnet
E0626 18:18:36.100000 139652021139264 torch/_dynamo/utils.py:1478] RMSE (res-fp64): 0.00227, (ref-fp64): 0.00064 and sha…
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@gosuzombie @sonarestis
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can i use these pretrained models for transfer learning, if yes how to load these models
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- [ ] Complete the Lotka-volterra dynamics
- [ ] Open the repository
- [ ] Start on Hill equation dynamics
- [ ] Stretch goal: boolean regulatory network with priors over $2^{2^k}$ possible function…
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Hey, thank you for sharing the RegNet weights in .h5 format. I'd like to know how many epochs this model was trained. Was it 100 or less than 100?
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Now I want to pre-train the RegNet with sentinel-2 and SPOT images. But I don't know how to pre-train RegNet without knowing the ground truth.
In your paper, it said
> The input data to be used f…
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Hi
Thanks for the interesting work. However, it seems that the file train_regnet_new.py is missing. Could you upload it?
Thanks
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I followed the quick start step,util `No module named 'arch'`. I solved it with `pip install arch`.
However,when i run`python test_regnet.py --config-file RegNet-Search-PyTorch/configs/RegNetX-4.0GF…
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我在使用GPU进行RegNet训练的时候,报错了
```
UnimplementedError: Fused conv implementation does not support grouped convolutions for now.
[[node reg_net/any_stage/res_bottleneck_block/bottleneck_transform/conv2…
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There are several temp tests marked for skipping that can likely be removed or converted into more permanent tests.
The regnet test also contains a test that should be enabled but is currently too …