Comments (4)
I think this is probably too challenging for an initial example.
We can have the network defined in code (as it is now) and instantiate it with instantiate.
If you want to break new ground with allowing full control of the network initially, you can probably try it out first "on the side". We should probably not add config classes to things before we are actually sure these are useful (initially these can be a part of the test app, generated by configen or by hand).
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Which config classes are you suggesting might not be useful? I'm thinking many of the nn/modules ones would be, right?
from hydra-torch.
Or did you mean for that comment to be in the context of the MNIST example (which there is a separate issue for tracking =P).
from hydra-torch.
optimizer, dataset, model (at a high level).
See the PL Hydra PR.
from hydra-torch.
Related Issues (20)
- [dev] Overview.md
- [hydra-configs-torch][tests] TensorDatasetConf
- [hydra-configs-torch][tests] DistributedSamplerConf
- [hydra-configs-torch][tests] Losses
- [dev] Auto register Configs upon import of hydra_configs.module.name HOT 5
- [hydra-configs-torchvision][tests] MNIST datasets HOT 2
- [hydra-configs-torchvision] Configs for Transforms
- [hydra-configs-torchvision][tests] Configs for Transforms
- [dev] Move specific library requirements into corresponding package folders HOT 4
- [dev] Document outlining how to create external `hydra-<library-name>` project repos.
- [hydra-configs-torch] Restructure configen directory for configen>=0.9.0dev8
- [hydra-configs-torch] Add version mismatch warning in hydra_configs/torch/__init__.py
- [dev][configen] Investigate proper subclassing during generation.
- [hydra-configs-torchvision] Configs for ImageNet models
- [hydra_configs] ModuleNotFoundError: No module named 'hydra_configs' HOT 4
- HYDRA Arithmetic operations within configs HOT 1
- [hydra-configs-torchvision] Add ConfigStore registration function to torchvision configs.
- Renaming `master` branch to `main` HOT 2
- pytorch/mmdetection distributed training with multi-machines with hydra
- Is this project still actively developed? HOT 2
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from hydra-torch.