ViperEkura
16a55bb474
- move attention kernels to csrc/kernels/attention/ and rotary to rotary/ - add shared common/mma.cuh (mma_sync, ldmatrix) and device.cuh (sm checks) - split fp8_mm into three-layer fp8/common.h, gemm.cuh, mm.cu - fix fused FP8 GEMM ldmatrix lane indexing to fix OOB shared reads - update extension ops, loader, and kernel tests
63 lines
2.3 KiB
C++
63 lines
2.3 KiB
C++
#pragma once
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#include <cuda_bf16.h>
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#include <cuda_fp8.h>
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#include <cuda_runtime.h>
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#include <cstdint>
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// Compile-time FP8 format: E4M3 (forward / high precision, max 448) or
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// E5M2 (gradient / large dynamic range, max 57344).
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enum class FP8Format : int {
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E4M3 = 0,
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E5M2 = 1,
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};
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// Compile-time tile configuration, mirroring KernelTraits<HEAD_DIM, BC,
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// WARPS, STAGES> in the attention kernels. `Fmt` selects the FP8 conversion
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// and the MMA PTX mnemonic; the remaining parameters shape the CTA tile and
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// the cp.async pipeline depth.
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template <FP8Format Fmt, int BlockM, int BlockN, int K, int Stages>
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struct Fp8GemmTraits {
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static constexpr FP8Format kFormat = Fmt;
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static constexpr int kBlockM = BlockM;
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static constexpr int kBlockN = BlockN;
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static constexpr int kK = K;
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static constexpr int kStages = Stages;
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static constexpr bool kIsE5M2 = (Fmt == FP8Format::E5M2);
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static constexpr __nv_fp8_interpretation_t kNvFormat =
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kIsE5M2 ? __NV_E5M2 : __NV_E4M3;
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static constexpr float kFp8Max = kIsE5M2 ? 57344.0f : 448.0f;
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// Saturated float -> FP8 conversion for this format.
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__device__ __forceinline__ static unsigned char cvt(float f) {
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return static_cast<unsigned char>(
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__nv_cvt_float_to_fp8(f, __NV_SATFINITE, kNvFormat));
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}
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};
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// Unified GEMM parameter POD, mirroring AttentionParams: one struct flows
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// through quantize / fused / pre-quantized kernels. Each kernel touches only
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// the fields it needs; buffers are raw pointers packed by the torch binding.
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struct FP8Params {
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// Inputs: a/b are BF16 for the fused (quantize-in-GEMM) path, FP8 for
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// the pre-quantized path. Scales are quantization steps (device scalars).
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const void* __restrict__ a_ptr;
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const void* __restrict__ b_ptr;
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const float* __restrict__ scale_a;
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const float* __restrict__ scale_b;
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// Output: BF16 or FP8 (E4M3). out_scale is the output quantization step
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// (FP8 output only).
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void* __restrict__ out_ptr;
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const float* __restrict__ out_scale;
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// Fused forward extras: bias (may be null) and amax slots (may be null).
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const __nv_bfloat16* __restrict__ bias;
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float* __restrict__ amax_a;
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float* __restrict__ amax_b;
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// Shapes. total is only used by the elementwise quantize kernel.
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int64_t m, n, k;
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int64_t total;
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};
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