Update to metatensor-learn v0.6.0 - #1240
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Otherwise there can be a situation where different process from xdist check the locks separately and aquire it, but then are interupted and leave dangling locks, preventing future tests to from running
This simplify the forward that no longer needs to move data to a different dtype. Instead the model is moved once in the trainer and then stays on the same device
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This will later allow to update the serialization format and thus make it mmap-compatible.
This does not work yet, and requires #1238 to be merged first (trying out the new github feature about stacked PR here)
Still TBD:
model.to()on an empty dictContributor (creator of pull-request) checklist
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📚 Documentation preview 📚: https://metatrain--1240.org.readthedocs.build/en/1240/