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@@ -1,6 +1,6 @@
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#define _CRT_SECURE_NO_DEPRECATE // Disables ridiculous "unsafe" warnigns on Windows
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#define _CRT_SECURE_NO_DEPRECATE // Disables ridiculous "unsafe" warnigns on Windows
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-#include "ggml.h"
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+#include "ggml-impl.h"
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#include "ggml-quants.h"
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#include "ggml-quants.h"
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#if defined(_MSC_VER) || defined(__MINGW32__)
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#if defined(_MSC_VER) || defined(__MINGW32__)
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@@ -27,18 +27,6 @@
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#include <unistd.h>
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#include <unistd.h>
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#endif
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#endif
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-// static_assert should be a #define, but if it's not,
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-// fall back to the _Static_assert C11 keyword.
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-// if C99 - static_assert is noop
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-// ref: https://stackoverflow.com/a/53923785/4039976
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-#ifndef static_assert
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-#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201100L)
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-#define static_assert(cond, msg) _Static_assert(cond, msg)
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-#else
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-#define static_assert(cond, msg) struct global_scope_noop_trick
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-#endif
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-#endif
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-
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#if defined(_MSC_VER)
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#if defined(_MSC_VER)
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// disable "possible loss of data" to avoid hundreds of casts
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// disable "possible loss of data" to avoid hundreds of casts
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// we should just be careful :)
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// we should just be careful :)
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@@ -106,23 +94,11 @@ typedef void * thread_ret_t;
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#include <unistd.h>
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#include <unistd.h>
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#endif
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#endif
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+
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#ifdef GGML_USE_CPU_HBM
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#ifdef GGML_USE_CPU_HBM
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#include <hbwmalloc.h>
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#include <hbwmalloc.h>
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#endif
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#endif
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-// __FMA__ and __F16C__ are not defined in MSVC, however they are implied with AVX2/AVX512
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-#if defined(_MSC_VER) && (defined(__AVX2__) || defined(__AVX512F__))
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-#ifndef __FMA__
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-#define __FMA__
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-#endif
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-#ifndef __F16C__
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-#define __F16C__
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-#endif
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-#ifndef __SSE3__
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-#define __SSE3__
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-#endif
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-#endif
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-
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/*#define GGML_PERF*/
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/*#define GGML_PERF*/
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#define GGML_DEBUG 0
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#define GGML_DEBUG 0
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#define GGML_GELU_FP16
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#define GGML_GELU_FP16
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@@ -248,213 +224,27 @@ inline static void * ggml_aligned_malloc(size_t size) {
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#include "ggml-opencl.h"
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#include "ggml-opencl.h"
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#endif
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#endif
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-#undef MIN
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-#undef MAX
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-#define MIN(a, b) ((a) < (b) ? (a) : (b))
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-#define MAX(a, b) ((a) > (b) ? (a) : (b))
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-
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// floating point type used to accumulate sums
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// floating point type used to accumulate sums
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typedef double ggml_float;
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typedef double ggml_float;
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-// 16-bit float
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-// on Arm, we use __fp16
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-// on x86, we use uint16_t
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-#if defined(__ARM_NEON) && !defined(_MSC_VER)
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-
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-// if YCM cannot find <arm_neon.h>, make a symbolic link to it, for example:
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-//
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-// $ ln -sfn /Library/Developer/CommandLineTools/usr/lib/clang/13.1.6/include/arm_neon.h ./src/
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-//
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-#include <arm_neon.h>
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-
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-#define GGML_COMPUTE_FP16_TO_FP32(x) ((float) (x))
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-#define GGML_COMPUTE_FP32_TO_FP16(x) (x)
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-
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-#define GGML_FP16_TO_FP32(x) ((float) (x))
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-#define GGML_FP32_TO_FP16(x) (x)
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-
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-#else
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-
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-#ifdef __wasm_simd128__
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-#include <wasm_simd128.h>
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-#else
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-#ifdef __POWER9_VECTOR__
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-#include <altivec.h>
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-#undef bool
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-#define bool _Bool
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-#else
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-#if defined(_MSC_VER) || defined(__MINGW32__)
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-#include <intrin.h>
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-#else
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-#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__) || defined(__SSE3__)
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-#if !defined(__riscv)
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-#include <immintrin.h>
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-#endif
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-#endif
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-#endif
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-#endif
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-#endif
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-
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-#ifdef __riscv_v_intrinsic
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-#include <riscv_vector.h>
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-#endif
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-
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-#ifdef __F16C__
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-
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-#ifdef _MSC_VER
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-#define GGML_COMPUTE_FP16_TO_FP32(x) _mm_cvtss_f32(_mm_cvtph_ps(_mm_cvtsi32_si128(x)))
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-#define GGML_COMPUTE_FP32_TO_FP16(x) _mm_extract_epi16(_mm_cvtps_ph(_mm_set_ss(x), 0), 0)
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-#else
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-#define GGML_COMPUTE_FP16_TO_FP32(x) _cvtsh_ss(x)
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-#define GGML_COMPUTE_FP32_TO_FP16(x) _cvtss_sh(x, 0)
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-#endif
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-
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-#elif defined(__POWER9_VECTOR__)
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-
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-#define GGML_COMPUTE_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
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-#define GGML_COMPUTE_FP32_TO_FP16(x) ggml_compute_fp32_to_fp16(x)
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-/* the inline asm below is about 12% faster than the lookup method */
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-#define GGML_FP16_TO_FP32(x) GGML_COMPUTE_FP16_TO_FP32(x)
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-#define GGML_FP32_TO_FP16(x) GGML_COMPUTE_FP32_TO_FP16(x)
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-
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-static inline float ggml_compute_fp16_to_fp32(ggml_fp16_t h) {
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- register float f;
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- register double d;
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- __asm__(
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- "mtfprd %0,%2\n"
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- "xscvhpdp %0,%0\n"
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- "frsp %1,%0\n" :
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- /* temp */ "=d"(d),
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- /* out */ "=f"(f):
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- /* in */ "r"(h));
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- return f;
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-}
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-
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-static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
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- register double d;
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- register ggml_fp16_t r;
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- __asm__( /* xscvdphp can work on double or single precision */
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- "xscvdphp %0,%2\n"
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- "mffprd %1,%0\n" :
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- /* temp */ "=d"(d),
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- /* out */ "=r"(r):
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- /* in */ "f"(f));
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- return r;
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-}
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-
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-#else
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-
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-// FP16 <-> FP32
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-// ref: https://github.com/Maratyszcza/FP16
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-
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-static inline float fp32_from_bits(uint32_t w) {
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- union {
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- uint32_t as_bits;
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- float as_value;
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- } fp32;
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- fp32.as_bits = w;
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- return fp32.as_value;
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-}
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-
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-static inline uint32_t fp32_to_bits(float f) {
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- union {
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- float as_value;
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- uint32_t as_bits;
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- } fp32;
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- fp32.as_value = f;
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- return fp32.as_bits;
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-}
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-
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-static inline float ggml_compute_fp16_to_fp32(ggml_fp16_t h) {
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- const uint32_t w = (uint32_t) h << 16;
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- const uint32_t sign = w & UINT32_C(0x80000000);
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- const uint32_t two_w = w + w;
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-
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- const uint32_t exp_offset = UINT32_C(0xE0) << 23;
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-#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) || defined(__GNUC__) && !defined(__STRICT_ANSI__)
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- const float exp_scale = 0x1.0p-112f;
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-#else
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- const float exp_scale = fp32_from_bits(UINT32_C(0x7800000));
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-#endif
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- const float normalized_value = fp32_from_bits((two_w >> 4) + exp_offset) * exp_scale;
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-
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- const uint32_t magic_mask = UINT32_C(126) << 23;
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- const float magic_bias = 0.5f;
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- const float denormalized_value = fp32_from_bits((two_w >> 17) | magic_mask) - magic_bias;
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-
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- const uint32_t denormalized_cutoff = UINT32_C(1) << 27;
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- const uint32_t result = sign |
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- (two_w < denormalized_cutoff ? fp32_to_bits(denormalized_value) : fp32_to_bits(normalized_value));
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- return fp32_from_bits(result);
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-}
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-
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-static inline ggml_fp16_t ggml_compute_fp32_to_fp16(float f) {
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-#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) || defined(__GNUC__) && !defined(__STRICT_ANSI__)
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- const float scale_to_inf = 0x1.0p+112f;
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- const float scale_to_zero = 0x1.0p-110f;
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-#else
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- const float scale_to_inf = fp32_from_bits(UINT32_C(0x77800000));
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- const float scale_to_zero = fp32_from_bits(UINT32_C(0x08800000));
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-#endif
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- float base = (fabsf(f) * scale_to_inf) * scale_to_zero;
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-
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- const uint32_t w = fp32_to_bits(f);
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- const uint32_t shl1_w = w + w;
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- const uint32_t sign = w & UINT32_C(0x80000000);
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- uint32_t bias = shl1_w & UINT32_C(0xFF000000);
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- if (bias < UINT32_C(0x71000000)) {
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- bias = UINT32_C(0x71000000);
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- }
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-
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- base = fp32_from_bits((bias >> 1) + UINT32_C(0x07800000)) + base;
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- const uint32_t bits = fp32_to_bits(base);
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- const uint32_t exp_bits = (bits >> 13) & UINT32_C(0x00007C00);
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- const uint32_t mantissa_bits = bits & UINT32_C(0x00000FFF);
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- const uint32_t nonsign = exp_bits + mantissa_bits;
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- return (sign >> 16) | (shl1_w > UINT32_C(0xFF000000) ? UINT16_C(0x7E00) : nonsign);
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-}
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-
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-#define GGML_COMPUTE_FP16_TO_FP32(x) ggml_compute_fp16_to_fp32(x)
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-#define GGML_COMPUTE_FP32_TO_FP16(x) ggml_compute_fp32_to_fp16(x)
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-
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-#endif // __F16C__
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-
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-#endif // __ARM_NEON
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-
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//
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//
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// global data
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// global data
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//
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//
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// precomputed gelu table for f16 (128 KB)
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// precomputed gelu table for f16 (128 KB)
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-static ggml_fp16_t table_gelu_f16[1 << 16];
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+static ggml_fp16_t ggml_table_gelu_f16[1 << 16];
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// precomputed quick gelu table for f16 (128 KB)
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// precomputed quick gelu table for f16 (128 KB)
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-static ggml_fp16_t table_gelu_quick_f16[1 << 16];
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+static ggml_fp16_t ggml_table_gelu_quick_f16[1 << 16];
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// precomputed silu table for f16 (128 KB)
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// precomputed silu table for f16 (128 KB)
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-static ggml_fp16_t table_silu_f16[1 << 16];
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+static ggml_fp16_t ggml_table_silu_f16[1 << 16];
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// precomputed exp table for f16 (128 KB)
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// precomputed exp table for f16 (128 KB)
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-static ggml_fp16_t table_exp_f16[1 << 16];
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-
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-// precomputed f32 table for f16 (256 KB)
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-static float table_f32_f16[1 << 16];
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+static ggml_fp16_t ggml_table_exp_f16[1 << 16];
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-// On ARM NEON, it's quicker to directly convert x -> x instead of calling into ggml_lookup_fp16_to_fp32,
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-// so we define GGML_FP16_TO_FP32 and GGML_FP32_TO_FP16 elsewhere for NEON.
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-// This is also true for POWER9.
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-#if !defined(GGML_FP16_TO_FP32) || !defined(GGML_FP32_TO_FP16)
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-
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-inline static float ggml_lookup_fp16_to_fp32(ggml_fp16_t f) {
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- uint16_t s;
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- memcpy(&s, &f, sizeof(uint16_t));
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- return table_f32_f16[s];
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-}
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-
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-#define GGML_FP16_TO_FP32(x) ggml_lookup_fp16_to_fp32(x)
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-#define GGML_FP32_TO_FP16(x) GGML_COMPUTE_FP32_TO_FP16(x)
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-
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-#endif
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+// precomputed f32 table for f16 (256 KB) (ggml-impl.h)
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+float ggml_table_f32_f16[1 << 16];
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// note: do not use these inside ggml.c
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// note: do not use these inside ggml.c
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// these are meant to be used via the ggml.h API
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// these are meant to be used via the ggml.h API
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@@ -632,6 +422,28 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
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.vec_dot = ggml_vec_dot_q4_1_q8_1,
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.vec_dot = ggml_vec_dot_q4_1_q8_1,
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.vec_dot_type = GGML_TYPE_Q8_1,
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.vec_dot_type = GGML_TYPE_Q8_1,
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},
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},
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+ [4] = { // GGML_TYPE_Q4_2
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+ .type_name = "DEPRECATED",
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+ .blck_size = 0,
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+ .type_size = 0,
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+ .is_quantized = false,
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+ .to_float = NULL,
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+ .from_float = NULL,
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+ .from_float_reference = NULL,
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+ .vec_dot = NULL,
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+ .vec_dot_type = GGML_TYPE_COUNT,
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+ },
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+ [5] = { // GGML_TYPE_Q4_3
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+ .type_name = "DEPRECATED",
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+ .blck_size = 0,
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+ .type_size = 0,
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+ .is_quantized = false,
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+ .to_float = NULL,
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+ .from_float = NULL,
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+ .from_float_reference = NULL,
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+ .vec_dot = NULL,
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+ .vec_dot_type = GGML_TYPE_COUNT,
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+ },
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[GGML_TYPE_Q5_0] = {
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[GGML_TYPE_Q5_0] = {
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.type_name = "q5_0",
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.type_name = "q5_0",
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.blck_size = QK5_0,
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.blck_size = QK5_0,
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@@ -1551,7 +1363,7 @@ inline static float ggml_gelu_f32(float x) {
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inline static void ggml_vec_gelu_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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inline static void ggml_vec_gelu_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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const uint16_t * i16 = (const uint16_t *) x;
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const uint16_t * i16 = (const uint16_t *) x;
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for (int i = 0; i < n; ++i) {
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for (int i = 0; i < n; ++i) {
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- y[i] = table_gelu_f16[i16[i]];
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+ y[i] = ggml_table_gelu_f16[i16[i]];
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}
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}
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}
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}
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@@ -1561,7 +1373,7 @@ inline static void ggml_vec_gelu_f32(const int n, float * y, const float * x) {
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for (int i = 0; i < n; ++i) {
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for (int i = 0; i < n; ++i) {
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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memcpy(&t, &fp16, sizeof(uint16_t));
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memcpy(&t, &fp16, sizeof(uint16_t));
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- y[i] = GGML_FP16_TO_FP32(table_gelu_f16[t]);
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+ y[i] = GGML_FP16_TO_FP32(ggml_table_gelu_f16[t]);
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}
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}
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}
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}
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#else
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#else
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@@ -1579,7 +1391,7 @@ inline static float ggml_gelu_quick_f32(float x) {
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//inline static void ggml_vec_gelu_quick_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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//inline static void ggml_vec_gelu_quick_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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// const uint16_t * i16 = (const uint16_t *) x;
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// const uint16_t * i16 = (const uint16_t *) x;
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// for (int i = 0; i < n; ++i) {
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// for (int i = 0; i < n; ++i) {
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-// y[i] = table_gelu_quick_f16[i16[i]];
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+// y[i] = ggml_table_gelu_quick_f16[i16[i]];
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// }
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// }
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//}
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//}
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@@ -1589,7 +1401,7 @@ inline static void ggml_vec_gelu_quick_f32(const int n, float * y, const float *
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for (int i = 0; i < n; ++i) {
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for (int i = 0; i < n; ++i) {
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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memcpy(&t, &fp16, sizeof(uint16_t));
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memcpy(&t, &fp16, sizeof(uint16_t));
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- y[i] = GGML_FP16_TO_FP32(table_gelu_quick_f16[t]);
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+ y[i] = GGML_FP16_TO_FP32(ggml_table_gelu_quick_f16[t]);
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}
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}
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}
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}
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#else
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#else
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@@ -1608,7 +1420,7 @@ inline static float ggml_silu_f32(float x) {
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//inline static void ggml_vec_silu_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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//inline static void ggml_vec_silu_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
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// const uint16_t * i16 = (const uint16_t *) x;
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// const uint16_t * i16 = (const uint16_t *) x;
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// for (int i = 0; i < n; ++i) {
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// for (int i = 0; i < n; ++i) {
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-// y[i] = table_silu_f16[i16[i]];
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+// y[i] = ggml_table_silu_f16[i16[i]];
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// }
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// }
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//}
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//}
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@@ -1618,7 +1430,7 @@ inline static void ggml_vec_silu_f32(const int n, float * y, const float * x) {
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for (int i = 0; i < n; ++i) {
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for (int i = 0; i < n; ++i) {
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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ggml_fp16_t fp16 = GGML_FP32_TO_FP16(x[i]);
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memcpy(&t, &fp16, sizeof(uint16_t));
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memcpy(&t, &fp16, sizeof(uint16_t));
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- y[i] = GGML_FP16_TO_FP32(table_silu_f16[t]);
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+ y[i] = GGML_FP16_TO_FP32(ggml_table_silu_f16[t]);
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}
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}
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}
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}
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#else
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#else
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@@ -2334,11 +2146,11 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
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for (int i = 0; i < (1 << 16); ++i) {
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for (int i = 0; i < (1 << 16); ++i) {
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uint16_t ui = i;
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uint16_t ui = i;
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memcpy(&ii, &ui, sizeof(ii));
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memcpy(&ii, &ui, sizeof(ii));
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- const float f = table_f32_f16[i] = GGML_COMPUTE_FP16_TO_FP32(ii);
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- table_gelu_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_f32(f));
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- table_gelu_quick_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_quick_f32(f));
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- table_silu_f16[i] = GGML_FP32_TO_FP16(ggml_silu_f32(f));
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- table_exp_f16[i] = GGML_FP32_TO_FP16(expf(f));
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+ const float f = ggml_table_f32_f16[i] = GGML_COMPUTE_FP16_TO_FP32(ii);
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+ ggml_table_gelu_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_f32(f));
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+ ggml_table_gelu_quick_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_quick_f32(f));
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+ ggml_table_silu_f16[i] = GGML_FP32_TO_FP16(ggml_silu_f32(f));
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+ ggml_table_exp_f16[i] = GGML_FP32_TO_FP16(expf(f));
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}
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}
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const uint64_t t_end = ggml_time_us(); UNUSED(t_end);
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const uint64_t t_end = ggml_time_us(); UNUSED(t_end);
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@@ -10701,7 +10513,7 @@ static void ggml_compute_forward_soft_max_f32(
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// const float val = (sp[i] == -INFINITY) ? 0.0 : exp(sp[i] - max);
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// const float val = (sp[i] == -INFINITY) ? 0.0 : exp(sp[i] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(sp[i] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(sp[i] - max);
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memcpy(&scvt, &s, sizeof(scvt));
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memcpy(&scvt, &s, sizeof(scvt));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
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sum += (ggml_float)val;
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sum += (ggml_float)val;
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dp[i] = val;
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dp[i] = val;
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}
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}
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@@ -12990,7 +12802,7 @@ static void ggml_compute_forward_flash_attn_f32(
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#else
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#else
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ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt[j]]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
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#endif
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#endif
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sump[j] += (ggml_float)val;
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sump[j] += (ggml_float)val;
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SS[j] = val;
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SS[j] = val;
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@@ -13192,7 +13004,7 @@ static void ggml_compute_forward_flash_attn_f16(
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} else {
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} else {
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ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(SS[j] - max);
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt[j]]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
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sump[j] += (ggml_float)val;
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sump[j] += (ggml_float)val;
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SS[j] = val;
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SS[j] = val;
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}
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}
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@@ -13643,7 +13455,7 @@ static void ggml_compute_forward_flash_attn_back_f32(
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#else
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#else
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ggml_fp16_t s = GGML_FP32_TO_FP16(SR[j] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(SR[j] - max);
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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memcpy(&scvt[j], &s, sizeof(uint16_t));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt[j]]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt[j]]);
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#endif
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#endif
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sump[j] += (ggml_float)val;
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sump[j] += (ggml_float)val;
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SW[j] = val;
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SW[j] = val;
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@@ -14393,7 +14205,7 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
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#else
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#else
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ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
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memcpy(&scvt, &s, sizeof(scvt));
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memcpy(&scvt, &s, sizeof(scvt));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
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#endif
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#endif
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sum += (ggml_float)val;
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sum += (ggml_float)val;
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st[i] = val;
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st[i] = val;
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@@ -14507,7 +14319,7 @@ static void ggml_compute_forward_cross_entropy_loss_back_f32(
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#else
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#else
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ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
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ggml_fp16_t s = GGML_FP32_TO_FP16(s0[i] - max);
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memcpy(&scvt, &s, sizeof(scvt));
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memcpy(&scvt, &s, sizeof(scvt));
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- const float val = GGML_FP16_TO_FP32(table_exp_f16[scvt]);
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+ const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]);
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#endif
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#endif
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sum += (ggml_float)val;
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sum += (ggml_float)val;
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ds0[i] = val;
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ds0[i] = val;
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