Fix loading little-endian models on big-endian hosts

[satyamg1620]

Description

Loading spaCy pipelines (e.g. en_core_web_sm) on big-endian hosts like s390x currently fails with ValueError: Little-endian buffer not supported on big-endian compiler, because thinc's Cython typed memoryviews reject the little-endian arrays that ship in the serialized model. This PR adds a thinc.util.ensure_native_byteorder helper and routes both Ops.asarray and NumpyOps.asarray through it, so deserialized arrays are byteswapped to native order before reaching any Cython path. On little-endian platforms native arrays are returned by identity, so there is no behavioural or performance change.

Types of change

Bug fix — enables thinc (and downstream spaCy) to load little-endian model artifacts on big-endian CPUs (like s390x ).

Checklist

• I confirm that I have the right to submit this contribution under the project's MIT license.
• I ran the tests, and all new and existing tests passed.
• My changes don't require a change to the documentation, or if they do, I've added all required information.

[satyamg1620]

@honnibal @ines Can you please review this PR

[modassarrana89-new]

LGTM

[tehbone]

Shouldn't this also drop the lazy load of BigEndianOps in compat.py?

[satyamg1620]

Shouldn't this also drop the lazy load of BigEndianOps in compat.py?

I think the lazy load isn't in compat.py, it's in thinc/backends/init.py inside _import_extra_cpu_backends(), mirroring the AppleOps pattern.

[tehbone]

Shouldn't this also drop the lazy load of BigEndianOps in compat.py?

I think the lazy load isn't in compat.py, it's in thinc/backends/init.py inside _import_extra_cpu_backends(), mirroring the AppleOps pattern.

Yes, my mistake. I was thinking of the wrong file. But it would be good to get rid of that if it is now just supported within the base numpy ops