wip : WASM 128-bit SIMD support

CMakeLists.txt

@@ -123,13 +123,13 @@ else()
     if (MSVC)
         set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX2 /D_CRT_SECURE_NO_WARNINGS=1")
     else()
-        set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx -mavx2 -mfma -mf16c")
-    endif()
-endif()
-
         if (EMSCRIPTEN)
             set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS}   -pthread -msimd128")
             set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
+        else()
+            set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx -mavx2 -mfma -mf16c")
+        endif()
+    endif()
 endif()
 
 # whisper - this is the main library of the project

bindings/javascript/CMakeLists.txt

@@ -21,13 +21,14 @@ if (WHISPER_WASM_SINGLE_FILE)
         )
 endif()
 
+#-s TOTAL_MEMORY=536870912 \
 set_target_properties(${TARGET} PROPERTIES LINK_FLAGS " \
     --bind \
     -s MODULARIZE=1 \
     -s ASSERTIONS=1 \
     -s USE_PTHREADS=1 \
-    -s PTHREAD_POOL_SIZE=8 \
+    -s PTHREAD_POOL_SIZE=9 \
-    -s TOTAL_MEMORY=536870912 \
+    -s ALLOW_MEMORY_GROWTH=1 \
     -s FORCE_FILESYSTEM=1 \
     -s EXPORT_NAME=\"'whisper_factory'\" \
     ${EXTRA_FLAGS} \

bindings/javascript/emscripten.cpp

@@ -4,6 +4,7 @@
 #include <emscripten/bind.h>
 
 #include <vector>
+#include <thread>
 
 std::vector<struct whisper_context *> g_contexts(4, nullptr);
 
@@ -47,7 +48,7 @@ EMSCRIPTEN_BINDINGS(whisper) {
         params.print_special_tokens = false;
         params.translate            = false;
         params.language             = "en";
-        params.n_threads            = 4;
+        params.n_threads            = std::min(8, (int) std::thread::hardware_concurrency());
         params.offset_ms            = 0;
 
         std::vector<float> pcmf32;

ggml.c

@@ -73,7 +73,11 @@ ggml_fp16_t ggml_fp32_to_fp16(float x) {
 
 #else
 
+#ifdef __wasm_simd128__
+#include <wasm_simd128.h>
+#else
 #include <immintrin.h>
+#endif
 
 // FP16 <-> FP32
 // ref: https://github.com/Maratyszcza/FP16
@@ -288,7 +292,7 @@ inline static void ggml_vec_dot_f32(const int n, float * restrict s, const float
         sumf += x[i]*y[i];
     }
 #elif defined(__AVX2__)
-    // AVX 256-bit (unroll 4)
+    // AVX 256-bit
     const int n32 = (n & ~31);
 
     __m256 sum0 = _mm256_setzero_ps();
@@ -330,6 +334,45 @@ inline static void ggml_vec_dot_f32(const int n, float * restrict s, const float
     for (int i = n32; i < n; ++i) {
         sumf += x[i]*y[i];
     }
+#elif defined(__wasm_simd128__)
+    // WASM 128-bit
+    const int n16 = (n & ~15);
+
+    v128_t sum0 = wasm_f32x4_splat(0);
+    v128_t sum1 = wasm_f32x4_splat(0);
+    v128_t sum2 = wasm_f32x4_splat(0);
+    v128_t sum3 = wasm_f32x4_splat(0);
+
+    v128_t x0, x1, x2, x3;
+    v128_t y0, y1, y2, y3;
+
+    for (int i = 0; i < n16; i += 16) {
+        x0 = wasm_v128_load(x + i + 0);
+        x1 = wasm_v128_load(x + i + 4);
+        x2 = wasm_v128_load(x + i + 8);
+        x3 = wasm_v128_load(x + i + 12);
+
+        y0 = wasm_v128_load(y + i + 0);
+        y1 = wasm_v128_load(y + i + 4);
+        y2 = wasm_v128_load(y + i + 8);
+        y3 = wasm_v128_load(y + i + 12);
+
+        sum0 = wasm_f32x4_add(sum0, wasm_f32x4_mul(x0, y0));
+        sum1 = wasm_f32x4_add(sum1, wasm_f32x4_mul(x1, y1));
+        sum2 = wasm_f32x4_add(sum2, wasm_f32x4_mul(x2, y2));
+        sum3 = wasm_f32x4_add(sum3, wasm_f32x4_mul(x3, y3));
+    }
+
+    sum0 = wasm_f32x4_add(sum0, sum1);
+    sum2 = wasm_f32x4_add(sum2, sum3);
+    sum0 = wasm_f32x4_add(sum0, sum2);
+
+    sumf = wasm_f32x4_extract_lane(sum0, 0) + wasm_f32x4_extract_lane(sum0, 1) + wasm_f32x4_extract_lane(sum0, 2) + wasm_f32x4_extract_lane(sum0, 3);
+
+    // leftovers
+    for (int i = n16; i < n; ++i) {
+        sumf += x[i]*y[i];
+    }
 #else
     // scalar
     for (int i = 0; i < n; ++i) {
@@ -446,7 +489,7 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t
         sumf += ggml_fp16_to_fp32(x[i])*ggml_fp16_to_fp32(y[i]);
     }
 #elif defined(__AVX2__)
-    // AVX 256-bit (unroll 4)
+    // AVX 256-bit
     const int n32 = (n & ~31);
 
     __m256 sum0 = _mm256_setzero_ps();
@@ -489,6 +532,54 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t
         //GGML_ASSERT(false);
         sumf += ggml_fp16_to_fp32(x[i])*ggml_fp16_to_fp32(y[i]);
     }
+#elif defined(__wasm_simd128__)
+    // WASM 128-bit
+    const int n16 = (n & ~15);
+
+    v128_t sum0 = wasm_f32x4_splat(0.0f);
+    v128_t sum1 = wasm_f32x4_splat(0.0f);
+    v128_t sum2 = wasm_f32x4_splat(0.0f);
+    v128_t sum3 = wasm_f32x4_splat(0.0f);
+
+    v128_t x0, x1, x2, x3;
+    v128_t y0, y1, y2, y3;
+
+    float tx[16];
+    float ty[16];
+
+    for (int i = 0; i < n16; i += 16) {
+        for (int k = 0; k < 16; ++k) {
+            tx[k] = ggml_fp16_to_fp32(x[i + k]);
+            ty[k] = ggml_fp16_to_fp32(y[i + k]);
+        }
+
+        x0 = wasm_v128_load(tx + 0);
+        x1 = wasm_v128_load(tx + 4);
+        x2 = wasm_v128_load(tx + 8);
+        x3 = wasm_v128_load(tx + 12);
+
+        y0 = wasm_v128_load(ty + 0);
+        y1 = wasm_v128_load(ty + 4);
+        y2 = wasm_v128_load(ty + 8);
+        y3 = wasm_v128_load(ty + 12);
+
+        sum0 = wasm_f32x4_add(sum0, wasm_f32x4_mul(x0, y0));
+        sum1 = wasm_f32x4_add(sum1, wasm_f32x4_mul(x1, y1));
+        sum2 = wasm_f32x4_add(sum2, wasm_f32x4_mul(x2, y2));
+        sum3 = wasm_f32x4_add(sum3, wasm_f32x4_mul(x3, y3));
+    }
+
+    sum0 = wasm_f32x4_add(sum0, sum1);
+    sum2 = wasm_f32x4_add(sum2, sum3);
+    sum0 = wasm_f32x4_add(sum0, sum2);
+
+    sumf = wasm_f32x4_extract_lane(sum0, 0) + wasm_f32x4_extract_lane(sum0, 1) + wasm_f32x4_extract_lane(sum0, 2) + wasm_f32x4_extract_lane(sum0, 3);
+
+    // leftovers
+    for (int i = n16; i < n; ++i) {
+        //GGML_ASSERT(false);
+        sumf += ggml_fp16_to_fp32(x[i])*ggml_fp16_to_fp32(y[i]);
+    }
 #else
     for (int i = 0; i < n; ++i) {
         sumf += ggml_fp16_to_fp32(x[i])*ggml_fp16_to_fp32(y[i]);
@@ -535,7 +626,7 @@ inline static void ggml_vec_mad_f32(const int n, float * restrict y, const float
         y[i] += x[i]*v;
     }
 #elif defined(__AVX2__)
-    // AVX 256-bit (unroll 4)
+    // AVX 256-bit
     const int n32 = (n & ~31);
 
     const __m256 v4 = _mm256_set1_ps(v);
@@ -569,6 +660,41 @@ inline static void ggml_vec_mad_f32(const int n, float * restrict y, const float
     for (int i = n32; i < n; ++i) {
         y[i] += x[i]*v;
     }
+#elif defined(__wasm_simd128__)
+    // WASM SIMD 128-bit
+    const int n16 = (n & ~15);
+
+    const v128_t v4 = wasm_f32x4_splat(v);
+
+    v128_t x0, x1, x2, x3;
+    v128_t y0, y1, y2, y3;
+
+    for (int i = 0; i < n16; i += 16) {
+        x0 = wasm_v128_load(x + i + 0);
+        x1 = wasm_v128_load(x + i + 4);
+        x2 = wasm_v128_load(x + i + 8);
+        x3 = wasm_v128_load(x + i + 12);
+
+        y0 = wasm_v128_load(y + i + 0);
+        y1 = wasm_v128_load(y + i + 4);
+        y2 = wasm_v128_load(y + i + 8);
+        y3 = wasm_v128_load(y + i + 12);
+
+        y0 = wasm_f32x4_add(y0, wasm_f32x4_mul(x0, v4));
+        y1 = wasm_f32x4_add(y1, wasm_f32x4_mul(x1, v4));
+        y2 = wasm_f32x4_add(y2, wasm_f32x4_mul(x2, v4));
+        y3 = wasm_f32x4_add(y3, wasm_f32x4_mul(x3, v4));
+
+        wasm_v128_store(y + i + 0, y0);
+        wasm_v128_store(y + i + 4, y1);
+        wasm_v128_store(y + i + 8, y2);
+        wasm_v128_store(y + i + 12, y3);
+    }
+
+    // leftovers
+    for (int i = n16; i < n; ++i) {
+        y[i] += x[i]*v;
+    }
 #else
     // scalar
     for (int i = 0; i < n; ++i) {
@@ -696,6 +822,54 @@ inline static void ggml_vec_mad_f16(const int n, ggml_fp16_t * restrict y, ggml_
         GGML_ASSERT(false);
         y[i] = ggml_fp32_to_fp16(ggml_fp16_to_fp32(y[i]) + ggml_fp16_to_fp32(x[i])*v);
     }
+#elif defined(__wasm_simd128__)
+    // WASM SIMD 128-bit
+    const int n16 = (n & ~15);
+
+    const v128_t v4 = wasm_f32x4_splat(v);
+
+    v128_t x0, x1, x2, x3;
+    v128_t y0, y1, y2, y3;
+
+    float tx[16];
+    float ty[16];
+
+    for (int i = 0; i < n16; i += 16) {
+        for (int k = 0; k < 16; ++k) {
+            tx[k] = ggml_fp16_to_fp32(x[i + k]);
+            ty[k] = ggml_fp16_to_fp32(y[i + k]);
+        }
+
+        x0 = wasm_v128_load(tx + 0);
+        x1 = wasm_v128_load(tx + 4);
+        x2 = wasm_v128_load(tx + 8);
+        x3 = wasm_v128_load(tx + 12);
+
+        y0 = wasm_v128_load(ty + 0);
+        y1 = wasm_v128_load(ty + 4);
+        y2 = wasm_v128_load(ty + 8);
+        y3 = wasm_v128_load(ty + 12);
+
+        y0 = wasm_f32x4_add(y0, wasm_f32x4_mul(x0, v4));
+        y1 = wasm_f32x4_add(y1, wasm_f32x4_mul(x1, v4));
+        y2 = wasm_f32x4_add(y2, wasm_f32x4_mul(x2, v4));
+        y3 = wasm_f32x4_add(y3, wasm_f32x4_mul(x3, v4));
+
+        wasm_v128_store(ty + 0, y0);
+        wasm_v128_store(ty + 4, y1);
+        wasm_v128_store(ty + 8, y2);
+        wasm_v128_store(ty + 12, y3);
+
+        for (int k = 0; k < 16; ++k) {
+            y[i + k] = ggml_fp32_to_fp16(ty[k]);
+        }
+    }
+
+    // leftovers
+    for (int i = n16; i < n; ++i) {
+        GGML_ASSERT(false);
+        y[i] = ggml_fp32_to_fp16(ggml_fp16_to_fp32(y[i]) + ggml_fp16_to_fp32(x[i])*v);
+    }
 #else
     for (int i = 0; i < n; ++i) {
         y[i] = ggml_fp32_to_fp16(ggml_fp16_to_fp32(y[i]) + ggml_fp16_to_fp32(x[i])*v);