blythed
blythed
Use this utility: https://github.com/SuperDuperDB/superduperdb/blob/main/test/unittest/test_docstrings.py TODO: - [ ] Add a utility to restrict the checkers to the below places. Prelaunch: - [ ] `base.datalayer.Datalayer` - [ ] `components.component.Component` - [...
There are several unresolved items which have yet to be addressed in the codebase. This epic seeks to solve these issues wholesale. - [x] #1609 - [x] #1605 - [x]...
Instead of nesting content inside a document, all content should get saved to the `_leaves` key-word field. This is a list, and may be referred to with the `id` field....
Some extra definition: With `superduper` we should connect like this: ```python db = superduper('parent_directory/*.csv') ``` This means that if we need output tables, these should be saved as `'parent_directory/.csv'`. We...
As a user specifying a `Stack` or `Component` using the `Document` formalism, I don't want deep nesting, rather shallow nesting, so that it's possible to easily write these specifications in...
This will allow us to judge which artifact uses which datatype, without having to cart this information around constantly.
Read through structure, give live feedback, suggestions, and push improvements. - [ ] Getting started - [ ] Core API - [ ] Apply API - [ ] Execute API...
- [ ] In [build_image_embedding_model.ipynb](https://github.com/SuperDuperDB/superduperdb/blob/docs/reusable_snippets/docs/hr/content/docs/reusable_snippets/build_image_embedding_model.ipynb) for `` we get `Torchvision doesnot have predict_one` I think the `predict_one` should be `superdupermodel.predict_one(Image.fromarray(np.ones((256,256,3)).astype(np.uint8)))` Instead of `model.predict_one(Image.open(image_path))` - [ ] In [build_multimodal_embedding_models.ipynb](https://github.com/SuperDuperDB/superduperdb/blob/docs/reusable_snippets/docs/hr/content/docs/reusable_snippets/build_multimodal_embedding_models.ipynb) for ``...
Needed for GPU/ CUDA compiled binaries. - [ ] Release mechanisms also uploads 2 docker-images to open docker hub - [ ] Use CUDA base image as base for `superduperdb/cuda`