The GitHub Actions job "tvm-bot" on tvm.git/main has succeeded. Run started by GitHub user clouds56 (triggered by clouds56).
Head commit for run: f0af322c197615457a1df49f6409bf8ffcf2ee14 / Soowon Jeong <[email protected]> [Relax][Frontend][TFLite] Add `REDUCE_ANY` and `REDUCE_ALL` (#19413) ## Summary Adds TFLite frontend support for `REDUCE_ANY` and `REDUCE_ALL` (B-group item in #19412). ## Lowering `REDUCE_ANY` / `REDUCE_ALL` take bool tensors and compute logical OR / AND along the given axes. Max / min on a bool tensor produces the same result, so no new Relax op is required: - `REDUCE_ANY` → `relax.op.max` - `REDUCE_ALL` → `relax.op.min` Both reuse the existing `_convert_reduce` handler (shared with `REDUCE_MAX`, `REDUCE_MIN`, `REDUCE_PROD`, `MEAN`, `SUM`), with entries added alphabetically to `convert_map`. ## Testing Added `test_reduction_bool_ops` in `tests/python/relax/test_frontend_tflite.py`, parametrized over the same shape / axes / keepdims matrix as the existing `test_reduction_ops` (24 combinations total). Verified locally by running the test function directly across all parametrizations. Refs #19412. Report URL: https://github.com/apache/tvm/actions/runs/24563684221 With regards, GitHub Actions via GitBox --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
