cuda : optimize argmax (#10441)
* cuda : optimize argmax * remove unused parameter ggml-ci * fixup : use full warps ggml-ci * Apply suggestions from code review Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * fix ub * ggml : check ne00 <= INT32_MAX in argmax and argsort --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
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5 changed files with 110 additions and 67 deletions
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@ -180,8 +180,8 @@ static __device__ __forceinline__ int warp_reduce_sum(int x) {
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return __reduce_add_sync(0xffffffff, x);
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#else
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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x += __shfl_xor_sync(0xffffffff, x, mask, 32);
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for (int offset = 16; offset > 0; offset >>= 1) {
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x += __shfl_xor_sync(0xffffffff, x, offset, 32);
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}
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return x;
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#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_AMPERE
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@ -189,17 +189,17 @@ static __device__ __forceinline__ int warp_reduce_sum(int x) {
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static __device__ __forceinline__ float warp_reduce_sum(float x) {
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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x += __shfl_xor_sync(0xffffffff, x, mask, 32);
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for (int offset = 16; offset > 0; offset >>= 1) {
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x += __shfl_xor_sync(0xffffffff, x, offset, 32);
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}
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return x;
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}
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static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) {
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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a.x += __shfl_xor_sync(0xffffffff, a.x, mask, 32);
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a.y += __shfl_xor_sync(0xffffffff, a.y, mask, 32);
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for (int offset = 16; offset > 0; offset >>= 1) {
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a.x += __shfl_xor_sync(0xffffffff, a.x, offset, 32);
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a.y += __shfl_xor_sync(0xffffffff, a.y, offset, 32);
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}
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return a;
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}
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@ -209,16 +209,16 @@ static __device__ __forceinline__ half2 warp_reduce_sum(half2 a) {
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#if defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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const half2 a_other = __shfl_xor_sync(0xffffffff, a, mask, 32);
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for (int offset = 16; offset > 0; offset >>= 1) {
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const half2 a_other = __shfl_xor_sync(0xffffffff, a, offset, 32);
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reinterpret_cast<half&>(a.x) += __low2half(a_other);
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reinterpret_cast<half&>(a.y) += __high2half(a_other);
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}
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return a;
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#else
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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a = __hadd2(a, __shfl_xor_sync(0xffffffff, a, mask, 32));
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for (int offset = 16; offset > 0; offset >>= 1) {
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a = __hadd2(a, __shfl_xor_sync(0xffffffff, a, offset, 32));
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}
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return a;
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#endif // defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__)
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@ -231,8 +231,8 @@ static __device__ __forceinline__ half2 warp_reduce_sum(half2 a) {
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static __device__ __forceinline__ float warp_reduce_max(float x) {
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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x = fmaxf(x, __shfl_xor_sync(0xffffffff, x, mask, 32));
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for (int offset = 16; offset > 0; offset >>= 1) {
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x = fmaxf(x, __shfl_xor_sync(0xffffffff, x, offset, 32));
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}
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return x;
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}
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@ -275,8 +275,8 @@ static __device__ __forceinline__ half2 ggml_cuda_hmax2(const half2 a, const hal
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static __device__ __forceinline__ half2 warp_reduce_max(half2 x) {
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#if !(defined(GGML_USE_HIP) && 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 = ggml_cuda_hmax2(x, __shfl_xor_sync(0xffffffff, x, mask, 32));
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for (int offset = 16; offset > 0; offset >>= 1) {
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x = ggml_cuda_hmax2(x, __shfl_xor_sync(0xffffffff, x, offset, 32));
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}
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return x;
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#else
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