diff --git a/Makefile b/Makefile index 04e7974..7267840 100644 --- a/Makefile +++ b/Makefile @@ -15,10 +15,12 @@ CXXFLAGS += -Wall -Wextra -Wno-unused-parameter -Wno-unused-function # OS specific # TODO: support Windows ifeq ($(UNAME_S),Linux) - CFLAGS += -pthread + CFLAGS += -pthread + CXXFLAGS += -pthread endif ifeq ($(UNAME_S),Darwin) - CFLAGS += -pthread + CFLAGS += -pthread + CXXFLAGS += -pthread endif # Architecture specific @@ -26,14 +28,21 @@ ifeq ($(UNAME_P),x86_64) CFLAGS += -mavx -mavx2 -mfma -mf16c endif ifneq ($(filter arm%,$(UNAME_P)),) - CFLAGS += -mfpu=neon + # Mac M1 endif -ifneq ($(filter aarch64%,$(UNAME_M)),) - CFLAGS += -mfpu=neon +ifneq ($(filter aarch64%,$(UNAME_P)),) + endif + ifneq ($(filter armv6%,$(UNAME_M)),) + # Raspberry Pi 1, 2, 3 + CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access endif -ifneq ($(filter armv%,$(UNAME_M)),) +ifneq ($(filter armv7%,$(UNAME_M)),) # Raspberry Pi 4 - CFLAGS += -mcpu=cortex-a72 -mfloat-abi=hard -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access + CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations +endif +ifneq ($(filter armv8%,$(UNAME_M)),) + # Raspberry Pi 4 + CFLAGS += -mfp16-format=ieee -mno-unaligned-access endif # diff --git a/ggml.c b/ggml.c index 9b18d81..5894489 100644 --- a/ggml.c +++ b/ggml.c @@ -1,5 +1,6 @@ #include "ggml.h" +#include #include #include #include @@ -12,7 +13,12 @@ #include #define GGML_DEBUG 0 -#define GGML_MEM_ALIGN 16 + +#if UINTPTR_MAX == 0xFFFFFFFF + #define GGML_MEM_ALIGN 4 +#else + #define GGML_MEM_ALIGN 16 +#endif #define MAX(a, b) ((a) > (b) ? (a) : (b)) #define MIN(a, b) ((a) < (b) ? (a) : (b)) @@ -305,6 +311,7 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t #ifdef __ARM_NEON const int n32 = (n & ~31); +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) float16x8_t sum0 = vdupq_n_f16(0); float16x8_t sum1 = vdupq_n_f16(0); float16x8_t sum2 = vdupq_n_f16(0); @@ -344,6 +351,61 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t float32x2_t sumf32 = vadd_f32(vget_low_f32(sum0f32), vget_high_f32(sum0f32)); sumf = vget_lane_f32(sumf32, 0) + vget_lane_f32(sumf32, 1); +#else + float32x4_t sum0 = vdupq_n_f32(0); + float32x4_t sum1 = vdupq_n_f32(0); + float32x4_t sum2 = vdupq_n_f32(0); + float32x4_t sum3 = vdupq_n_f32(0); + float32x4_t sum4 = vdupq_n_f32(0); + float32x4_t sum5 = vdupq_n_f32(0); + float32x4_t sum6 = vdupq_n_f32(0); + float32x4_t sum7 = vdupq_n_f32(0); + + float32x4_t x0, x1, x2, x3, x4, x5, x6, x7; + float32x4_t y0, y1, y2, y3, y4, y5, y6, y7; + + for (int i = 0; i < n32; i += 32) { + x0 = vcvt_f32_f16(vld1_f16(x + i + 0 )); + x1 = vcvt_f32_f16(vld1_f16(x + i + 4 )); + x2 = vcvt_f32_f16(vld1_f16(x + i + 8 )); + x3 = vcvt_f32_f16(vld1_f16(x + i + 12)); + x4 = vcvt_f32_f16(vld1_f16(x + i + 16)); + x5 = vcvt_f32_f16(vld1_f16(x + i + 20)); + x6 = vcvt_f32_f16(vld1_f16(x + i + 24)); + x7 = vcvt_f32_f16(vld1_f16(x + i + 28)); + + y0 = vcvt_f32_f16(vld1_f16(y + i + 0 )); + y1 = vcvt_f32_f16(vld1_f16(y + i + 4 )); + y2 = vcvt_f32_f16(vld1_f16(y + i + 8 )); + y3 = vcvt_f32_f16(vld1_f16(y + i + 12)); + y4 = vcvt_f32_f16(vld1_f16(y + i + 16)); + y5 = vcvt_f32_f16(vld1_f16(y + i + 20)); + y6 = vcvt_f32_f16(vld1_f16(y + i + 24)); + y7 = vcvt_f32_f16(vld1_f16(y + i + 28)); + + sum0 = vfmaq_f32(sum0, x0, y0); + sum1 = vfmaq_f32(sum1, x1, y1); + sum2 = vfmaq_f32(sum2, x2, y2); + sum3 = vfmaq_f32(sum3, x3, y3); + sum4 = vfmaq_f32(sum4, x4, y4); + sum5 = vfmaq_f32(sum5, x5, y5); + sum6 = vfmaq_f32(sum6, x6, y6); + sum7 = vfmaq_f32(sum7, x7, y7); + } + + // reduce sum0..sum7 to sum0 + sum0 = vaddq_f32(sum0, sum1); + sum2 = vaddq_f32(sum2, sum3); + sum4 = vaddq_f32(sum4, sum5); + sum6 = vaddq_f32(sum6, sum7); + sum0 = vaddq_f32(sum0, sum2); + sum4 = vaddq_f32(sum4, sum6); + sum0 = vaddq_f32(sum0, sum4); + + // reduce sum0 to sumf + float32x2_t sumf32 = vadd_f32(vget_low_f32(sum0), vget_high_f32(sum0)); + sumf = vget_lane_f32(sumf32, 0) + vget_lane_f32(sumf32, 1); +#endif // leftovers for (int i = n32; i < n; ++i) { @@ -486,6 +548,7 @@ inline static void ggml_vec_mad_f16(const int n, ggml_fp16_t * restrict y, ggml_ // NEON 128-bit const int n32 = (n & ~31); +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) const float16x8_t v8 = vdupq_n_f16(v); float16x8_t x0, x1, x2, x3; @@ -512,6 +575,51 @@ inline static void ggml_vec_mad_f16(const int n, ggml_fp16_t * restrict y, ggml_ vst1q_f16(y + i + 16, y2); vst1q_f16(y + i + 24, y3); } +#else + const float32x4_t v40 = vdupq_n_f32(v); + const float32x4_t v41 = vdupq_n_f32(v); + + float32x4_t x0, x1, x2, x3, x4, x5, x6, x7; + float32x4_t y0, y1, y2, y3, y4, y5, y6, y7; + + for (int i = 0; i < n32; i += 32) { + y0 = vcvt_f32_f16(vld1_f16(y + i + 0 )); + y1 = vcvt_f32_f16(vld1_f16(y + i + 4 )); + y2 = vcvt_f32_f16(vld1_f16(y + i + 8 )); + y3 = vcvt_f32_f16(vld1_f16(y + i + 12)); + y4 = vcvt_f32_f16(vld1_f16(y + i + 16)); + y5 = vcvt_f32_f16(vld1_f16(y + i + 20)); + y6 = vcvt_f32_f16(vld1_f16(y + i + 24)); + y7 = vcvt_f32_f16(vld1_f16(y + i + 28)); + + x0 = vcvt_f32_f16(vld1_f16(x + i + 0 )); + x1 = vcvt_f32_f16(vld1_f16(x + i + 4 )); + x2 = vcvt_f32_f16(vld1_f16(x + i + 8 )); + x3 = vcvt_f32_f16(vld1_f16(x + i + 12)); + x4 = vcvt_f32_f16(vld1_f16(x + i + 16)); + x5 = vcvt_f32_f16(vld1_f16(x + i + 20)); + x6 = vcvt_f32_f16(vld1_f16(x + i + 24)); + x7 = vcvt_f32_f16(vld1_f16(x + i + 28)); + + y0 = vfmaq_f32(y0, x0, v40); + y1 = vfmaq_f32(y1, x1, v40); + y2 = vfmaq_f32(y2, x2, v40); + y3 = vfmaq_f32(y3, x3, v40); + y4 = vfmaq_f32(y4, x4, v41); + y5 = vfmaq_f32(y5, x5, v41); + y6 = vfmaq_f32(y6, x6, v41); + y7 = vfmaq_f32(y7, x7, v41); + + vst1_f16(y + i + 0 , vcvt_f16_f32(y0)); + vst1_f16(y + i + 4 , vcvt_f16_f32(y1)); + vst1_f16(y + i + 8 , vcvt_f16_f32(y2)); + vst1_f16(y + i + 12, vcvt_f16_f32(y3)); + vst1_f16(y + i + 16, vcvt_f16_f32(y4)); + vst1_f16(y + i + 20, vcvt_f16_f32(y5)); + vst1_f16(y + i + 24, vcvt_f16_f32(y6)); + vst1_f16(y + i + 28, vcvt_f16_f32(y7)); + } +#endif // leftovers for (int i = n32; i < n; ++i) { @@ -911,16 +1019,18 @@ struct ggml_context * ggml_init(struct ggml_init_params params) { if (is_first_call) { const uint64_t t_start = ggml_time_us(); UNUSED(t_start); + ggml_fp16_t ii; for (int i = 0; i < (1 << 16); ++i) { - uint16_t ii = (uint16_t) i; - const float f = ggml_fp16_to_fp32(*(ggml_fp16_t *)(&ii)); + uint16_t ui = i; + memcpy(&ii, &ui, sizeof(ii)); + const float f = ggml_fp16_to_fp32(ii); table_gelu_f16[i] = ggml_fp32_to_fp16(ggml_gelu_f32(f)); table_exp_f16[i] = ggml_fp32_to_fp16(exp(f)); } const uint64_t t_end = ggml_time_us(); UNUSED(t_end); - GGML_PRINT_DEBUG("%s: GELU table initialized in %f ms\n", __func__, (t_end - t_start)/1000.0f); + GGML_PRINT_DEBUG("%s: GELU and EXP tables initialized in %f ms\n", __func__, (t_end - t_start)/1000.0f); is_first_call = false; } @@ -4427,13 +4537,15 @@ void ggml_compute_forward_soft_max_f32( ggml_float sum = 0.0; + uint16_t ss; for (int i = 0; i < nc; i++) { if (p[i] == -INFINITY) { p[i] = 0.0; } else { //const float val = (p[i] == -INFINITY) ? 0.0 : exp(p[i] - max); ggml_fp16_t s = ggml_fp32_to_fp16(p[i] - max); - const float val = ggml_fp16_to_fp32(table_exp_f16[*(uint16_t *) &s]); + memcpy(&ss, &s, sizeof(ss)); + const float val = ggml_fp16_to_fp32(table_exp_f16[ss]); sum += val; p[i] = val; } @@ -5234,13 +5346,15 @@ void ggml_compute_forward_flash_attn_f32( ggml_float sum = 0.0; + uint16_t ss; for (int i = 0; i < M; i++) { if (S[i] == -INFINITY) { S[i] = 0.0; } else { //const float val = (S[i] == -INFINITY) ? 0.0 : exp(S[i] - max); ggml_fp16_t s = ggml_fp32_to_fp16(S[i] - max); - const float val = ggml_fp16_to_fp32(table_exp_f16[*(uint16_t *) &s]); + memcpy(&ss, &s, sizeof(ss)); + const float val = ggml_fp16_to_fp32(table_exp_f16[ss]); sum += val; S[i] = val; } @@ -5413,13 +5527,15 @@ void ggml_compute_forward_flash_attn_f16( ggml_float sum = 0.0; + uint16_t ss; for (int i = 0; i < M; i++) { if (S[i] == -INFINITY) { S[i] = 0.0; } else { //const float val = (S[i] == -INFINITY) ? 0.0 : exp(S[i] - max); ggml_fp16_t s = ggml_fp32_to_fp16(S[i] - max); - const float val = ggml_fp16_to_fp32(table_exp_f16[*(uint16_t *) &s]); + memcpy(&ss, &s, sizeof(ss)); + const float val = ggml_fp16_to_fp32(table_exp_f16[ss]); sum += val; S[i] = val; } diff --git a/ggml.h b/ggml.h index 465a9b6..5b7b258 100644 --- a/ggml.h +++ b/ggml.h @@ -108,7 +108,7 @@ struct ggml_tensor { int64_t perf_time_us; void * data; - char pad[8]; + char padding[8]; }; // computation graph diff --git a/whisper.cpp b/whisper.cpp index 6fc0130..46a4caa 100644 --- a/whisper.cpp +++ b/whisper.cpp @@ -1291,7 +1291,8 @@ bool whisper_encode( struct ggml_tensor * inpO = ggml_add(ctxL, cur, inpFF); { - struct ggml_cgraph gf = { .n_threads = n_threads }; + struct ggml_cgraph gf = {}; + gf.n_threads = n_threads; ggml_build_forward_expand(&gf, inpO); ggml_graph_compute (ctxL, &gf); @@ -1327,7 +1328,8 @@ bool whisper_encode( // run the computation { - struct ggml_cgraph gf = { .n_threads = n_threads }; + struct ggml_cgraph gf = {}; + gf.n_threads = n_threads; ggml_build_forward_expand(&gf, cur); ggml_graph_compute (ctx0, &gf); @@ -1351,7 +1353,8 @@ bool whisper_encode( // pre-compute cross-attention memory { - struct ggml_cgraph gf = { .n_threads = n_threads }; + struct ggml_cgraph gf = {}; + gf.n_threads = n_threads; // TODO: hack to disconnect the encoded features from the previous graph cur->op = GGML_OP_NONE; @@ -1461,7 +1464,8 @@ bool whisper_decode( }; struct ggml_context * ctxL = ggml_init(paramsL); - struct ggml_cgraph gf = { .n_threads = n_threads }; + struct ggml_cgraph gf = {}; + gf.n_threads = n_threads; // norm { @@ -1744,7 +1748,8 @@ bool whisper_decode( // run the computation { - struct ggml_cgraph gf = { .n_threads = n_threads }; + struct ggml_cgraph gf = {}; + gf.n_threads = n_threads; ggml_build_forward_expand(&gf, cur); ggml_graph_compute (ctx0, &gf); @@ -2334,7 +2339,7 @@ int whisper_full( } } - if (seek >= whisper_n_len(ctx)) { + if (seek + 100 >= whisper_n_len(ctx)) { break; }