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llama: update vendored code to commit 40c6d79f (#7875)
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7
llama/ggml-cuda/fattn-vec-f32.cuh
vendored
7
llama/ggml-cuda/fattn-vec-f32.cuh
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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@@ -28,9 +28,9 @@
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#include "fattn-common.cuh"
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template<int D, int ncols, int parallel_blocks, ggml_type type_K, ggml_type type_V, 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__(D, 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_vec_ext_f32(
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const char * __restrict__ Q,
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const char * __restrict__ K,
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@@ -232,7 +232,6 @@ static __global__ void flash_attn_vec_ext_f32(
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for (int j = 0; j < ncols; ++j) {
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float kqmax_new_j = kqmax_new_arr[j];
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kqmax_new_j = warp_reduce_max(kqmax_new_j);
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if (threadIdx.x == 0) {
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kqmax_shared[j][threadIdx.y] = kqmax_new_j;
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}
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