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https://github.com/ggerganov/llama.cpp.git
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ggml : reading the runtime sve config of the cpu (#8709)
* ggml : reading the runtime sve config of the cpu * change to one time init to prevent performance drop * prefix variable to avoid possible conflicts * revert xxhash fix and add brackets --------- Co-authored-by: domke <673751-domke@users.noreply.gitlab.com>
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@ -384,8 +384,8 @@ void ggml_gemv_q4_0_4x4_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE)
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if (svcntw() == 8) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (svcntw() == 8)) &&
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if (ggml_sve_cnt_b == QK8_0) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE defined, use the Q4_0_8_8 quantization format for optimal performance");
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}
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#endif
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@ -496,8 +496,8 @@ void ggml_gemv_q4_0_4x8_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE)
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if (svcntw() == 8) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (svcntw() == 8)) &&
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if (ggml_sve_cnt_b == QK8_0) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE defined, use the Q4_0_8_8 quantization format for optimal performance");
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}
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#endif
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@ -614,7 +614,7 @@ void ggml_gemv_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE) && ! ((defined(_MSC_VER)) && ! defined(__clang__))
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if (svcntw() == 8) {
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if (ggml_sve_cnt_b == QK8_0) {
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const void * b_ptr = vx;
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const void * a_ptr = vy;
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float * res_ptr = s;
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@ -680,12 +680,12 @@ void ggml_gemv_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
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return;
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}
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else if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
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GGML_ASSERT((ggml_cpu_has_sve() && (svcntw() == 8)) &&
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GGML_ASSERT((ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE for vector size of 256-bits not defined, use the Q4_0_4_8 quantization format for optimal "
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"performance");
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}
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else if (ggml_cpu_has_neon()) {
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GGML_ASSERT(((ggml_cpu_has_sve() && (svcntw() == 8)) || ggml_cpu_has_matmul_int8()) &&
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GGML_ASSERT(((ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) || ggml_cpu_has_matmul_int8()) &&
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"__ARM_FEATURE_SVE for vector size of 256-bits and __ARM_FEATURE_MATMUL_INT8 not defined, use the Q4_0_4_4 "
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"quantization format for optimal performance");
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}
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@ -745,8 +745,8 @@ void ggml_gemm_q4_0_4x4_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE) && defined(__ARM_FEATURE_MATMUL_INT8)
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if (svcntw() == 8) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (svcntw() == 8)) &&
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if (ggml_sve_cnt_b == QK8_0) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE defined, use the Q4_0_8_8 quantization format for optimal performance");
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}
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#endif
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@ -1266,8 +1266,8 @@ void ggml_gemm_q4_0_4x8_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE) && defined(__ARM_FEATURE_MATMUL_INT8)
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if (svcntw() == 8) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (svcntw() == 8)) &&
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if (ggml_sve_cnt_b == QK8_0) {
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GGML_ASSERT(!(ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE defined, use the Q4_0_8_8 quantization format for optimal performance");
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}
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#endif
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@ -1728,7 +1728,7 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
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UNUSED(blocklen);
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#if defined(__ARM_FEATURE_SVE) && defined(__ARM_FEATURE_MATMUL_INT8) && ! ((defined(_MSC_VER)) && ! defined(__clang__))
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if (svcntw() == 8) {
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if (ggml_sve_cnt_b == QK8_0) {
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const void * b_ptr = vx;
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const void * a_ptr = vy;
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float * res_ptr = s;
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@ -2139,12 +2139,12 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
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return;
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}
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else if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
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GGML_ASSERT((ggml_cpu_has_sve() && (svcntw() == 8)) &&
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GGML_ASSERT((ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) &&
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"__ARM_FEATURE_SVE for vector size of 256-bits not defined, use the Q4_0_4_8 quantization format for optimal "
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"performance");
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}
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else if (ggml_cpu_has_neon()) {
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GGML_ASSERT(((ggml_cpu_has_sve() && (svcntw() == 8)) || ggml_cpu_has_matmul_int8()) &&
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GGML_ASSERT(((ggml_cpu_has_sve() && (ggml_sve_cnt_b == QK8_0)) || ggml_cpu_has_matmul_int8()) &&
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"__ARM_FEATURE_SVE for vector size of 256-bits and __ARM_FEATURE_MATMUL_INT8 not defined, use the Q4_0_4_4 "
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"quantization format for optimal performance");
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}
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@ -143,6 +143,7 @@ extern "C" {
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#if defined(__ARM_FEATURE_SVE)
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#include <arm_sve.h>
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#include <sys/prctl.h>
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#endif
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// 16-bit float
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@ -3818,7 +3818,7 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
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float sumf = 0;
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#if defined(__ARM_FEATURE_SVE)
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if (svcntb() == QK8_0) {
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if (ggml_sve_cnt_b == QK8_0) {
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const svbool_t ptrueh = svptrue_pat_b8(SV_VL16);
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const svbool_t ptruel = svnot_b_z(svptrue_b8(), ptrueh);
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@ -5303,7 +5303,7 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
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float sumf = 0;
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#if defined(__ARM_FEATURE_SVE)
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if (svcntb() == QK8_0) {
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if (ggml_sve_cnt_b == QK8_0) {
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svfloat32_t sumv0 = svdup_n_f32(0.0f);
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svfloat32_t sumv1 = svdup_n_f32(0.0f);
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@ -127,6 +127,10 @@ void iq2xs_free_impl(enum ggml_type type);
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void iq3xs_init_impl(int grid_size);
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void iq3xs_free_impl(int grid_size);
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#if defined(__ARM_FEATURE_SVE)
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extern int ggml_sve_cnt_b;
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#endif
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#ifdef __cplusplus
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}
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#endif
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@ -37,6 +37,9 @@
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#include <unistd.h>
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#endif
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#if defined(__ARM_FEATURE_SVE)
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int ggml_sve_cnt_b = 0;
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#endif
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#if defined(__ARM_FEATURE_SVE) || defined(__ARM_FEATURE_MATMUL_INT8)
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#undef GGML_USE_LLAMAFILE
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#endif
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@ -3558,6 +3561,12 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
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GGML_ASSERT_ALIGNED(ctx->mem_buffer);
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#if defined(__ARM_FEATURE_SVE)
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if (!ggml_sve_cnt_b) {
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ggml_sve_cnt_b = PR_SVE_VL_LEN_MASK & prctl(PR_SVE_GET_VL);
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}
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#endif
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GGML_PRINT_DEBUG("%s: context initialized\n", __func__);
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ggml_critical_section_end();
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