vllm/csrc/moe/torch_bindings.cpp
Dipika Sikka 8678a69ab5
[Kernel] Expand MoE weight loading + Add Fused Marlin MoE Kernel (#7527)
Co-authored-by: ElizaWszola <eliza@neuralmagic.com>
2024-08-21 16:17:10 -07:00

22 lines
860 B
C++

#include "core/registration.h"
#include "moe_ops.h"
#include "marlin_moe_ops.h"
TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, m) {
// Apply topk softmax to the gating outputs.
m.def(
"topk_softmax(Tensor! topk_weights, Tensor! topk_indices, Tensor! "
"token_expert_indices, Tensor gating_output) -> ()");
m.impl("topk_softmax", torch::kCUDA, &topk_softmax);
m.def(
"marlin_gemm_moe(Tensor! a, Tensor! b_q_weights, Tensor! sorted_ids, "
"Tensor! topk_weights, Tensor! topk_ids, Tensor! b_scales, Tensor! "
"g_idx, Tensor! perm, Tensor! workspace, int size_m, int size_n, int "
"size_k, bool is_k_full, int num_experts, int topk, int moe_block_size, "
"bool replicate_input, bool apply_weights) -> Tensor");
m.impl("marlin_gemm_moe", torch::kCUDA, &marlin_gemm_moe);
}
REGISTER_EXTENSION(TORCH_EXTENSION_NAME)