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Changelog

Source: NEWS.md

Rmlx 0.2.1

Rmlx 0.2.0

Rmlx 0.1.0.9000 (development)

  • Speeded up subset assignment. We also now fail on NAs in indices.
  • Exposed mlx_cast() for casting arrays between dtypes/devices (previously internal .mlx_cast).
  • %*% now requires both its arguments to be matrices (unlike base R).
  • as_mlx(x) no longer returns scalars if x is a length-one vector.
  • mlx_arange(start, stop, step) now matches seq() behavior (stop included if reachable).
  • New mlx_device() to return device associated with x.
  • Renamed mlx_get_device() to mlx_best_device().
  • mlx_slice_update() now accepts 1-based (inclusive) start/stop indices to match the rest of the R API; internal callers were updated accordingly.
  • Added mlx_shape() to expose MLX-native shapes (never NULL) and aligned dim.mlx() with base R semantics (returns NULL for 1-D vectors/scalars).
  • mlx_rand_categorical(), mlx_rand_permutation(), mlx_cross_entropy(), mlx_gather_qmm(), and mlx_embedding() now accept 1-based indices for inputs/outputs, consistently with R.
  • Added negative numeric indexing support for [/[<- on mlx arrays and documented subsetting semantics.
  • Added mlx_import_function() to import MLX functions from (e.g.) Python.
  • Added mlx_array(), mlx_matrix(), mlx_vector(), and mlx_scalar() for fast construction of MLX objects when data and dimensions are already known.
  • mlx_array()/mlx_matrix() now recycle shorter payloads when they evenly divide the target shape.
  • Added mlx_fft(), mlx_fft2(), and mlx_fftn() wrappers around MLX FFT kernels.
  • Added distribution functions mlx_d/p/qnorm(), mlx_d/p/qunif() etc.
  • Added mlx_quantile().
  • Added mlx_coordinate_descent(), a coordinate descent algorithm.
  • Fixed several [/[<- bugs affecting non-contiguous, unsorted, and duplicate subsetting patterns on mlx arrays.
  • as_mlx() now takes a much faster path for large numeric matrices by letting MLX handle column-major inputs directly.
  • Base reducers all() and any() applied to mlx arrays now return plain R logical scalars; mlx_all()/mlx_any() continue to yield mlx booleans.
  • Added mlx-aware wrappers for row(), col(), asplit(), and backsolve().
  • Added scale.mlx() to center/scale matrices entirely on the MLX backend (with MLX arrays stored in the scaled:center / scaled:scale attributes).
  • scale.mlx() now always records its scaled:center / scaled:scale attributes as 1 x p MLX arrays, keeping them lazily evaluated even after coercion.
  • as.matrix.mlx() now preserves any user-set attributes (including the MLX scaling metadata) when copying arrays back to base R.
  • Created a new benchmarks vignette.
  • Added pre-commit hooks to run, commit and print benchmark.

Rmlx 0.1.0

  • Initial release on r-universe.