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use johannes implementation instead (+1 squashed commits)
Squashed commits: [f5e6709d] use johannes implementation instead
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2 changed files with 25 additions and 28 deletions
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@ -137,7 +137,8 @@
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#define STRINGIZE(...) STRINGIZE_IMPL(__VA_ARGS__)
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#define WARP_SIZE 32
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#define CUDART_HMAX 11070 // CUDA 11.7, min. ver. for which __hmax and __hmax2 are known to work (may be higher than needed)
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#define CUDART_HMAX 11070 // CUDA 11.7, min. ver. for which __hmax and __hmax2 are known to work (may be higher than needed)
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#define CUDART_HMASK 12000 // CUDA 12.0, min. ver. for half2 -> uint mask comparisons
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#define CC_PASCAL 600
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#define MIN_CC_DP4A 610 // minimum compute capability for __dp4a, an intrinsic for byte-wise dot products
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@ -293,20 +294,39 @@ static __device__ __forceinline__ float warp_reduce_max(float x) {
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return x;
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}
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#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && CUDART_VERSION < CUDART_HMAX
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static __device__ __forceinline__ half hmax(const half a, const half b) {
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return __half2float(a) > __half2float(b) ? a : b;
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}
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static __device__ __forceinline__ half2 hmax2(const half2 a, const half2 b) {
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half2 ret;
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reinterpret_cast<half&>(ret.x) = __low2float(a) > __low2float(b) ? __low2half(a) : __low2half(b);
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reinterpret_cast<half&>(ret.y) = __high2float(a) > __high2float(b) ? __high2half(a) : __high2half(b);
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return ret;
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}
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#else
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static __device__ __inline__ __half hmax(const __half a, const __half b) {
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return __hmax(a,b);
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}
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static __device__ __inline__ __half2 hmax2(const __half2 a, const __half2 b) {
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return __hmax2(a,b);
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}
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#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && CUDART_VERSION < CUDART_HMAX
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static __device__ __forceinline__ half2 warp_reduce_max(half2 x) {
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#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_PASCAL && CUDART_VERSION >= CUDART_HMAX
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#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_PASCAL
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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x = __hmax2(x, __shfl_xor_sync(0xffffffff, x, mask, 32));
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x = hmax2(x, __shfl_xor_sync(0xffffffff, x, mask, 32));
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}
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return x;
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#else
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GGML_UNUSED(x);
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NO_DEVICE_CODE;
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#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_PASCAL && CUDART_VERSION >= CUDART_HMAX
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#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_PASCAL
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}
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#if CUDART_VERSION < 12000
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#if CUDART_VERSION < CUDART_HMASK
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static __device__ __forceinline__ uint32_t __hgt2_mask(const half2 a, const half2 b) {
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const uint32_t mask_low = 0x0000FFFF * (float( __low2half(a)) > float( __low2half(b)));
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const uint32_t mask_high = 0xFFFF0000 * (float(__high2half(a)) > float(__high2half(b)));
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@ -11,29 +11,6 @@
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#define HALF_MAX_HALF __float2half(65504.0f/2) // Use neg. of this instead of -INFINITY to initialize KQ max vals to avoid NaN upon subtraction.
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#define SOFTMAX_FTZ_THRESHOLD -20.0f // Softmax exp. of values smaller than this are flushed to zero to avoid NaNs.
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//hack: polyfill hmax and hmax2 for older cuda version
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#if CUDART_VERSION < CUDART_HMAX
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__device__ __inline__ __half hmax(const __half a, const __half b) {
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const float fa = __half2float(a);
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const float fb = __half2float(b);
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return __float2half(fa > fb ? fa : fb);
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}
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__device__ __inline__ __half2 hmax2(const __half2 a, const __half2 b) {
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__half2 result;
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result.x = hmax(a.x, b.x);
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result.y = hmax(a.y, b.y);
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return result;
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}
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#else
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__device__ __inline__ __half hmax(const __half a, const __half b) {
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return __hmax(a,b);
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}
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__device__ __inline__ __half2 hmax2(const __half2 a, const __half2 b) {
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return __hmax2(a,b);
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}
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#endif
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template<int D, int parallel_blocks> // D == head size
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__launch_bounds__(((D + WARP_SIZE - 1) / WARP_SIZE)*WARP_SIZE, 1)
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static __global__ void flash_attn_vec_ext_f16(
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