jhavukainen 8b9a3f3cea Align mlx::core::max op nan propagation with NumPy (#2339) ... * Make max op NaN propagation rules align with numpy * Adding benchmarks and testing for max op nanpropagation * Pre-commit formatting * Fix max complex64 nan propagation and add test * Improve the cpp unittest * Only check nans on non-integral types in simd_reduce_impl. * Cleanup using namespace alias * Add cpu Max nanpropagation. Fix a small fib in cpu max dispatch data types for int8/int16. * Make the max nanpropagation test more meaningful for integer types * Remove tuple unpacking syntax to comply with earlier python versions. Add cuda skip to nanpropagation tests, fix cuda implementation in a separate PR.		2025-07-09 11:26:27 -07:00
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ops.h	Align mlx::core::max op nan propagation with NumPy (#2339)	2025-07-09 11:26:27 -07:00
reduce_all.h	Reduce specializations (#1607)	2024-11-21 19:53:00 -08:00
reduce_col.h	Use int64 stride everywhere (#1671)	2024-12-09 11:09:02 -08:00
reduce_init.h	More jitting (#1132)	2024-05-23 16:23:44 -07:00
reduce_row.h	Fix typo in row_reduce_small (#2179)	2025-05-13 20:19:54 -07:00