Mojo package

linalg

Provides CPU and GPU implementations of linear algebra functions.

Modules

• ​accumulate:
• ​apple_accelerate:
• ​apple_amx_intrinsics:
• ​bmm:
• ​dispatch_table_a100_gpu:
• ​distributed_matmul:
• ​dual_gemm:
• ​fp8_quantization:
• ​gemv:
• ​grouped_matmul:
• ​grouped_matmul_sm100_blockwise_fp8:
• ​intel_amx_intrinsics:
• ​matmul:
• ​matmul_amd:
• ​matmul_default:
• ​matmul_dispatch_sm100:
• ​matmul_dispatch_sm90:
• ​matmul_gpu:
• ​matmul_i8mm:
• ​matmul_loadop_sm90:
• ​matmul_neon:
• ​matmul_sm100:
• ​matmul_sm100_blockwise_fp8:
• ​matmul_sm100_composable:
• ​matmul_sm90:
• ​matmul_sm90_splitk:
• ​matmul_sm90_testbed:
• ​matmul_tile_scheduler:
• ​matmul_tile_scheduler_sm100:
• ​matmul_tile_scheduler_splitk:
• ​matmul_vendor:
• ​matmul_vnni:
• ​matrix_band_part: The module implements matrix band part functions.
• ​mmaop_sm100:
• ​neon_intrinsics:
• ​packing:
• ​qr_factorization:
• ​transpose: The module implements Transpose functions.
• ​utils:
• ​utils_gpu:
• ​vendor_blas:
• ​vnni_intrinsics:

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit