Comments (2)
Thanks a lot for your interest!
Supporting zarr
and xarray
is definitely in the scope. The biggest challenge here is the wire format & serialization: while a naive implementation should be easily doable, I'm not really sure how to allow zero-copy serialization in zarr
and xarray
like in numpy.ndarray
. I need to dig into their APIs and wire specification.
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Hello @NowanIlfideme ,
We have done a new release (0.30) that rewrites docarray completelly. There we provide TorchTensor object with semantics as you describe here in the ticket. I hope you like it and find it useful.
https://docs.docarray.org/API_reference/typing/tensor/tensor/
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Related Issues (20)
- [pydantic v2] Push and pulling tests not passing with pydantic v2
- [pydantic v2] documentation test need to be trigger for pydantic v2
- Release Notes HOT 2
- Tensor not found in Tensorflow module HOT 4
- bug: deserializing from dataframe with numpy==1.26.1 HOT 15
- index.find() tries to reshape and fails HOT 10
- Integrate new Vector search library from Spotify HOT 3
- Release Notes HOT 4
- DocList raises exception for type object. HOT 3
- Error on subindice Embedding type for Torch Tensor moving from GPU to CPU. HOT 3
- TorchTensor deepcopy raises error when dtype is not float32 HOT 8
- Support Epsilla as a document store HOT 3
- Error type hints in Python3.12 (#1147) HOT 2
- Release Note
- [Docs Missing] docs.docarray.org -> There isn't a GitHub Pages site here. HOT 1
- Enhancement to the weaviate datatypes support (text[], object, object[]) with WeaviateDocumentIndex HOT 6
- HnswDocumentIndex treats document IDs as string, they can be str, int, ID HOT 4
- Class-typed fields are required when inserting a new document HOT 3
- HNSWLib Indexer cannot knn query in subindex HOT 8
- Loading audio tensors fails: ValueError: all input arrays must have the same shape HOT 4
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from docarray.