FbgemmPackGemmMatrixFp16

Packs a GEMM matrix in FP16 for FBGEMM.

Abstract Signature:

FbgemmPackGemmMatrixFp16(input: Tensor, K: int, N: int)

PyTorchJAX (Core)NumPyKerasTensorFlowApple MLXFlax NNXPaxML / Praxis

PyTorch

API: torch.fbgemm_pack_gemm_matrix_fp16

Strategy: Direct Mapping

Official Docs ↗

JAX (Core)

API: —

Strategy: Custom / Partial

NumPy

API: —

Strategy: Custom / Partial

Keras

API: —

Strategy: Custom / Partial

TensorFlow

API: —

Strategy: Custom / Partial

Apple MLX

API: —

Strategy: Custom / Partial

Flax NNX

API: —

Strategy: Custom / Partial

PaxML / Praxis

API: —

Strategy: Custom / Partial