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[Kimi K2] dsv3_router_gemm supports NUM_EXPERTS == 384 (#8013)

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This commit is contained in:
Peter Pan
2025-08-01 22:01:24 +08:00
committed by GitHub
parent 46e9d1c7c1
commit 6bdd27861b
5 changed files with 188 additions and 30 deletions
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50
sgl-kernel/csrc/gemm/dsv3_router_gemm_float_out.cu
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@@ -184,6 +184,7 @@ void invokeRouterGemmFloatOutput(float* output, T const* mat_a, T const* mat_b,
mat_b);
}
// Template instantiations for DEFAULT_NUM_EXPERTS experts
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 1, 256, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
@@ -231,3 +232,52 @@ template void invokeRouterGemmFloatOutput<__nv_bfloat16, 15, 256, 7168>(
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 16, 256, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
// Template instantiations for KIMI_K2_NUM_EXPERTS experts
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 1, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 2, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 3, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 4, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 5, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 6, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 7, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 8, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 9, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 10, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 11, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 12, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 13, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 14, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 15, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);
template void invokeRouterGemmFloatOutput<__nv_bfloat16, 16, 384, 7168>(
float*, __nv_bfloat16 const*, __nv_bfloat16 const*, cudaStream_t);