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https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
Fixed __dp4a compute capability: 6.0 -> 6.1 (#2189)
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22
ggml-cuda.cu
22
ggml-cuda.cu
@ -1258,7 +1258,7 @@ static __global__ void dequantize_block(const void * __restrict__ vx, float * __
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}
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static __device__ __forceinline__ float vec_dot_q4_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
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#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
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#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
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const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
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int vi;
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@ -1279,11 +1279,11 @@ static __device__ __forceinline__ float vec_dot_q4_0_q8_1(const void * __restric
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return sumi*d;
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#else
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return 0.0f; // only to satisfy the compiler
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#endif // __CUDA_ARCH__ >= 600
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#endif // __CUDA_ARCH__ >= 610
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}
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static __device__ __forceinline__ float vec_dot_q4_1_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
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#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
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#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
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const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
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const int vi = *((int *) &bq4_1->qs[sizeof(int) * (iqs + 0)]);
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@ -1304,11 +1304,11 @@ static __device__ __forceinline__ float vec_dot_q4_1_q8_1(const void * __restric
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return sumi*d + m*s / QI4_1; // scale sum by QI4_1 because there are QI4_1 threads working on this block
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#else
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return 0.0f; // only to satisfy the compiler
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#endif // __CUDA_ARCH__ >= 600
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#endif // __CUDA_ARCH__ >= 610
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}
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static __device__ __forceinline__ float vec_dot_q5_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
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#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
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#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
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const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
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int qs;
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@ -1339,11 +1339,11 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1(const void * __restric
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return sumi*d;
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#else
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return 0.0f; // only to satisfy the compiler
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#endif // __CUDA_ARCH__ >= 600
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#endif // __CUDA_ARCH__ >= 610
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}
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static __device__ __forceinline__ float vec_dot_q5_1_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
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#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
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#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
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const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
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const int qs = *((int *) &bq5_1->qs[sizeof(int) * (iqs + 0)]);
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@ -1373,11 +1373,11 @@ static __device__ __forceinline__ float vec_dot_q5_1_q8_1(const void * __restric
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return sumi*d + m*s / QI5_1; // scale sum by QI5_1 because there are QI5_1 threads working on this block
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#else
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return 0.0f; // only to satisfy the compiler
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#endif // __CUDA_ARCH__ >= 600
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#endif // __CUDA_ARCH__ >= 610
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}
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static __device__ __forceinline__ float vec_dot_q8_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
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#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
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#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
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const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
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int vi;
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@ -1392,7 +1392,7 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1(const void * __restric
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return sumi*d;
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#else
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return 0.0f; // only to satisfy the compiler
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#endif // __CUDA_ARCH__ >= 600
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#endif // __CUDA_ARCH__ >= 610
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}
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template <int qk, int qi, typename block_q_t, vec_dot_q_cuda_t vec_dot_q_cuda>
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@ -2417,7 +2417,7 @@ inline void ggml_cuda_op_mul_mat_vec(
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src0->type == GGML_TYPE_Q5_1 ||
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src0->type == GGML_TYPE_Q8_0;
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const bool use_mul_mat_vec_q = g_compute_capabilities[id] >= 600 && mul_mat_vec_q_implemented;
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const bool use_mul_mat_vec_q = g_compute_capabilities[id] >= 610 && mul_mat_vec_q_implemented;
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#endif
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if (use_mul_mat_vec_q) {
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