Comments (3)
We do have a macos arm package on PyPI. We aren't responsible for the conda package though.
from tensorstore.
Indeed, there are no osx-64
or osx-arm64
packages on the conda-forge channel:
https://anaconda.org/conda-forge/tensorstore/files
To start the discussion, you could open an issue on the following repo:
https://github.com/conda-forge/tensorstore-feedstock
Or, perhaps even better, you could open a PR in that repo and edit the following line so it stops skipping osx
:
https://github.com/conda-forge/tensorstore-feedstock/blob/main/recipe/meta.yaml#L18
Presumably, the build will fail, and you'll have inspect the build output and try to figure out what needs to change. (Or ask for help.)
Background
Looks like they created the initial "feedstock" for tensorstore as soon as the linux build worked, with the intention of iterating further on the osx build later. Here are two comments from the original thread:
from tensorstore.
We aren't responsible for the conda package though.
Did not know that!
Thanks @stuarteberg for the informative suggestions and references. Will try and naively remove the skipping of osx
platforms meta.yml
.
from tensorstore.
Related Issues (20)
- Fail to create new TensorStore with ```neuroglancer_uint64_sharded``` driver HOT 2
- Loosen ml-dtypes dependency HOT 4
- How cant install tensorstore en ppc64 HOT 1
- AWS S3 authentication issues HOT 6
- Please create a pre-built PyPI wheel for linux arm64 HOT 7
- Support of large files for grpc_kvstore HOT 1
- S3 kvstore driver not being recognized HOT 3
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- Debug logs for S3 driver, log requests and responses HOT 9
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- How to use a custom bazel installation? HOT 2
- Building on linux with ppc64le arch
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- Transactional/ACID semantics HOT 1
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- Using s3 kvstore with minio HOT 3
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