Returns a data.frame with one row per backend describing its availability, supported precision modes, features, capabilities, and whether it supports GPU residency.
Value
A data.frame with columns:
- name
Character. Backend identifier.
- available
Logical. Whether the backend reports itself as available on this machine.
- precision_modes
Character. Comma-separated precision modes (
"strict","fast").- features
Character. Comma-separated feature strings.
- residency_capable
Logical. Whether the backend supports GPU-resident matrix storage.
- capabilities
Character. Comma-separated operation capability strings.
Examples
amatrix_backend_status()
#> name available health
#> 1 arrayfire FALSE unprobed
#> 2 cpu TRUE healthy
#> 3 metal FALSE unprobed
#> 4 mlx FALSE unprobed
#> 5 opencl FALSE unprobed
#> health_reason
#> 1 namespace unavailable: there is no package called ‘amatrix.arrayfire’
#> 2 <NA>
#> 3 namespace unavailable: there is no package called ‘amatrix.metal’
#> 4 namespace unavailable: there is no package called ‘amatrix.mlx’
#> 5 probe disabled; call amatrix_use_gpu() or set AMATRIX_OPENCL_PROBE_GPU=1 for explicit probe runs
#> precision_modes features
#> 1 <NA> <NA>
#> 2 strict,fast dense_f64,dense_f32,solve,chol,svd,sparse_spmm
#> 3 <NA> <NA>
#> 4 <NA> <NA>
#> 5 <NA> <NA>
#> residency_capable
#> 1 FALSE
#> 2 FALSE
#> 3 FALSE
#> 4 FALSE
#> 5 FALSE
#> capabilities
#> 1 <NA>
#> 2 matmul,crossprod,tcrossprod,ewise,broadcast_ewise,argmax,scatter_mean,segment_sum,segment_mean,rowSums,colSums,solve,chol,qr,svd,eigen,diag
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
amatrix_backend_status("cpu")
#> name available health health_reason precision_modes
#> 1 cpu TRUE healthy <NA> strict,fast
#> features residency_capable
#> 1 dense_f64,dense_f32,solve,chol,svd,sparse_spmm FALSE
#> capabilities
#> 1 matmul,crossprod,tcrossprod,ewise,broadcast_ewise,argmax,scatter_mean,segment_sum,segment_mean,rowSums,colSums,solve,chol,qr,svd,eigen,diag