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llama: update vendored code to commit 40c6d79f (#7875)
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8
llama/ggml-cuda/fattn-tile-f16.cu
vendored
8
llama/ggml-cuda/fattn-tile-f16.cu
vendored
@@ -1,5 +1,5 @@
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/**
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* llama.cpp - commit 3f1ae2e32cde00c39b96be6d01c2997c29bae555 - do not edit this file
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* llama.cpp - commit 40c6d79fb52f995f47507fedfeaae2ac05d9b35c - do not edit this file
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*
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* MIT License
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*
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@@ -31,9 +31,9 @@
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#define FATTN_KQ_STRIDE_TILE_F16 64
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template<int D, int ncols, int nwarps, int parallel_blocks, bool use_logit_softcap> // D == head size
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#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
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#if !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__))
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__launch_bounds__(nwarps*WARP_SIZE, 1)
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#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
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#endif // !(defined(GGML_USE_HIP) && defined(__HIP_PLATFORM_AMD__))
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static __global__ void flash_attn_tile_ext_f16(
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const char * __restrict__ Q,
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const char * __restrict__ K,
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@@ -285,7 +285,7 @@ static __global__ void flash_attn_tile_ext_f16(
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}
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half kqsum_j = __low2half(kqsum[j_VKQ_0/nwarps]) + __high2half(kqsum[j_VKQ_0/nwarps]);
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kqsum_j = warp_reduce_sum(kqsum_j);
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kqsum_j = warp_reduce_sum((float)kqsum_j);
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#pragma unroll
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for (int i00 = 0; i00 < D; i00 += 2*WARP_SIZE) {
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