The GitHub Actions job "Lint" on tvm.git/main has succeeded.
Run started by GitHub user tlopex (triggered by tlopex).

Head commit for run:
4a688ddcbcb6c51d52b5458ee00b70925785155f / YinHanke <[email protected]>
[Relax][Frontend][TFLite] Add EMBEDDING_LOOKUP_SPARSE converter (#19652)

## Summary

Add Relax TFLite frontend support for `EMBEDDING_LOOKUP_SPARSE`.

This PR adds a converter for `EMBEDDING_LOOKUP_SPARSE` in the Relax
TFLite frontend. The implementation supports the `SUM`, `MEAN`, and
`SQRTN` combiners and handles higher-rank sparse indices. The sparse
aggregation is lowered through `scatter_nd` to match TFLite operator
semantics for the supported cases.

The PR also adds handcrafted TFLite frontend tests covering:
- `SUM`
- `MEAN`
- `SQRTN`
- a 3D indices case

## Testing

Ran `tests/python/relax/test_frontend_tflite.py -k
'embedding_lookup_sparse'`.

Part of #19519

---------

Co-authored-by: gemini-code-assist[bot] 
<176961590+gemini-code-assist[bot]@users.noreply.github.com>

Report URL: https://github.com/apache/tvm/actions/runs/26837862175

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