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
..
autograd.cpp	Remove "using namespace mlx::core" in benchmarks/examples (#1685)	2024-12-11 07:08:29 -08:00
CMakeLists.txt	jagrit's commit files	2023-11-29 10:52:08 -08:00
compare_devices.cpp	Remove "using namespace mlx::core" in benchmarks/examples (#1685)	2024-12-11 07:08:29 -08:00
irregular_strides.cpp	Fix building cpp benchmarks on Linux (#2268)	2025-06-10 17:10:24 -07:00
single_ops.cpp	Align mlx::core::max op nan propagation with NumPy (#2339)	2025-07-09 11:26:27 -07:00
time_utils.h	Update pre-commit hooks (#984)	2024-04-11 07:27:53 -07:00