Pete Walsh
Pete Walsh
[`sfantao/pytorch-lumi:sles-rocm-5.5.1-python-3.10-pytorch-v2.0.1`](https://hub.docker.com/layers/sfantao/pytorch-lumi/sles-rocm-5.5.1-python-3.10-pytorch-v2.0.1/images/sha256-b571eff246ded0aa5df9286d7a064f62a8c124c5bd8e3bfc94b07758ed06646b?context=explore) (on Ducker hub).
We don't necessary need to merge this, there's already enough clutter in this repo 😉 Just putting here for reference.
Each time we evaluate we should evaluate on the entirety of each subset. This will remove some noise and make it easier for us to debug where the model is...
We have a separate Google Cloud project for OLMo now, we should use that. We should call the bucket something like `gs://olmo-checkpoints` instead of `gs://allennlp-olmo`.
While this wasn't implemented as of PyTorch 1.13.1, it appears it's going to be in the next release because it's implemented in the master branch: https://github.com/pytorch/pytorch/blob/master/torch/distributed/fsdp/api.py#L31.
This doesn't need to merged, I just wanted to put this here for future reference.
Adds an abstraction for vision backbones, along with a mock dataset to test it. You can run a test training job on 2 GPUs with the mock dataset like so:...
This came up in https://github.com/epwalsh/obsidian.nvim/issues/88 and I think I've tracked it down to a bug with the path module here. Running: ```lua Path:new("C:/Users/myhome/my/local/obsidian/repo/"):mkdir { parents = true, exist_ok = true...
### 🚀 The feature, motivation and pitch This would help decrease the load on Beaker ### Alternatives _No response_ ### Additional context _No response_
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