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I realize I can pull out the object arrays into a json file and then stitch them back together when I load things in, but it's not ergonomic given that they are logically connected in my workflow.
I recognize that it's not the most convenient solution, but you could also implement a TypeHandler to deal with this. Would be a relatively simple override of the existing NumpyHandler.
Are there any plans to support this in orbax? Tensorstore can interpret strings: https://google.github.io/tensorstore/python/api/tensorstore.string.html
I realize I can pull out the object arrays into a json file and then stitch them back together when I load things in, but it's not ergonomic given that they are logically connected in my workflow.
ValueError: Error parsing object member "dtype": Unsupported data type: "object" [source locations='tensorstore/internal/json_binding/json_binding.h:383\ntensorstore/internal/json_binding/json_binding.h:524\ntensorstore/internal/json_binding/json_binding.h:861\ntensorstore/internal/json_binding/json_binding.h:825']
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