hydra-torch
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pytorch
Configuration classes enabling type-safe PyTorch configuration for Hydra apps
Is there any plan to keep this project active? I do not see any active development since quiet a long time. Would be a shame. I think it's very useful...
Hi all, I'm newbie to hydra, here I meet a problem in developing my own project. My project is based on mmdetection with it's own yaml configure system, but I...
implements config registration for `optim` via `__init__.py` If this looks good, I'll broadcast the same strategy across the rest of the configs we currently have. Partially Addressing #53
This is very preliminary for the time being. I have a couple more ideas to simplify, but I want to make sure we think through this carefully (including naming conventions,...
I have added classes for torchvison models like AlexNet, DenseNet, ResNet, SqueezeNet, GoogleNet, MNASNet I'll add tests later.
Creates a document outlining design decisions up until this point in order to facilitate contributions from others.
Implemented a basic script that demonstrates distributed processing with Hydra, as mentioned in #42. The command to run the script is: ```shell python ddp_00.py -m rank=... init_method=... ``` where `rank`...
Implements [ImageNet DDP](https://github.com/pytorch/examples/blob/master/imagenet/main.py), as mentioned in #33. Most of the code is the same, and the major differences are the handling of distributed processes and the configuration. One can use...
Summarizing, this PR introduces: - [x] a separate confige.yamln configuration files for torch.optim - [x] a separate configen.yaml configuration files for torch.utils.data ( #1 ) - [x] re-generated Structured Configs...
