From 48cb78695473e921f4f327df53130be3b7b62e0a Mon Sep 17 00:00:00 2001 From: Alex Evgrashin Date: Wed, 29 Nov 2023 23:59:59 +0100 Subject: [PATCH] Metal support for MacOS (#64) * Add support for metal builds * Update build_cpp.yml * Update build_cpp.yml * Add libs and other stuff --- .github/workflows/build_cpp.yml | 32 + .../Editor/WhisperPostBuild.cs | 40 + .../Editor/WhisperPostBuild.cs.meta | 11 + .../Editor/WhisperProjectSettings.cs | 58 +- .../Plugins/MacOS/ggml-metal.metal | 2929 +++++++++++++++++ .../Plugins/MacOS/ggml-metal.metal.meta | 7 + .../Plugins/MacOS/libwhisper.dylib.meta | 2 +- .../Plugins/MacOS/libwhisper_metal.dylib | Bin 0 -> 1661389 bytes .../Plugins/MacOS/libwhisper_metal.dylib.meta | 81 + .../Runtime/Native/WhisperNative.cs | 70 +- build_cpp.sh | 24 + 11 files changed, 3210 insertions(+), 44 deletions(-) create mode 100644 Packages/com.whisper.unity/Editor/WhisperPostBuild.cs create mode 100644 Packages/com.whisper.unity/Editor/WhisperPostBuild.cs.meta create mode 100644 Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal create mode 100644 Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal.meta create mode 100644 Packages/com.whisper.unity/Plugins/MacOS/libwhisper_metal.dylib create mode 100644 Packages/com.whisper.unity/Plugins/MacOS/libwhisper_metal.dylib.meta diff --git a/.github/workflows/build_cpp.yml b/.github/workflows/build_cpp.yml index 034605c..deb76c6 100644 --- a/.github/workflows/build_cpp.yml +++ b/.github/workflows/build_cpp.yml @@ -175,6 +175,38 @@ jobs: name: macos path: ${{ github.workspace }}/whisper-cpp/build/libwhisper.dylib if-no-files-found: error + + build-macos-metal: + name: Build for MacOS Metal (ARM, x86_64) + runs-on: macOS-latest + steps: + - name: Clone whisper.unity + uses: actions/checkout@v3 + with: + path: whisper-unity + + - name: Clone whisper.cpp + uses: actions/checkout@v3 + with: + repository: ${{ github.event.inputs.whisper_cpp_repo }} + ref: ${{ github.event.inputs.whisper_cpp_repo_ref }} + path: whisper-cpp + + - name: Run build script + run: | + cd whisper-unity + sh build_cpp.sh ../whisper-cpp/ mac_metal + cd ${{ github.workspace }}/whisper-cpp/build/ + mv libwhisper.dylib libwhisper_metal.dylib + + - name: Upload results + uses: actions/upload-artifact@v3 + with: + name: macos-metal + path: | + ${{ github.workspace }}/whisper-cpp/build/libwhisper_metal.dylib + ${{ github.workspace }}/whisper-cpp/build/bin/ggml-metal.metal + if-no-files-found: error build-ios: name: Build for iOS diff --git a/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs b/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs new file mode 100644 index 0000000..fdc9a54 --- /dev/null +++ b/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs @@ -0,0 +1,40 @@ +using System; +using System.IO; +using JetBrains.Annotations; +using UnityEditor; +using UnityEditor.Callbacks; +using UnityEngine; + + +[UsedImplicitly] +public static class WhisperPostBuild +{ + + [PostProcessBuild] + public static void OnPostProcessBuild(BuildTarget buildTarget, string path) + { + if (buildTarget != BuildTarget.StandaloneOSX) + return; + if (!WhisperProjectSettingsProvider.MetalEnabled) + return; + + // get source file + var metalFile = Path.GetFullPath("Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal"); + if (!File.Exists(metalFile)) + { + throw new Exception("Can't find metal file in project files! " + + $"{metalFile} doesnt exist!"); + } + + // get target folder + var pluginsPath = Path.Combine(path, "Contents", "PlugIns"); + if (!Directory.Exists(pluginsPath)) + { + throw new Exception("Can't find plugins directory in build app! " + + $"{pluginsPath} doesnt exist!"); + } + + var targetPath = Path.Combine(pluginsPath, "ggml-metal.metal"); + File.Copy(metalFile, targetPath, true); + } +} diff --git a/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs.meta b/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs.meta new file mode 100644 index 0000000..ebc0133 --- /dev/null +++ b/Packages/com.whisper.unity/Editor/WhisperPostBuild.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 1d092b4906dd24577af1005af3dbecb3 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Packages/com.whisper.unity/Editor/WhisperProjectSettings.cs b/Packages/com.whisper.unity/Editor/WhisperProjectSettings.cs index e2e56d1..23c78f8 100644 --- a/Packages/com.whisper.unity/Editor/WhisperProjectSettings.cs +++ b/Packages/com.whisper.unity/Editor/WhisperProjectSettings.cs @@ -17,9 +17,10 @@ public static SettingsProvider CreateMyCustomSettingsProvider() guiHandler = (searchContext) => { CudaEnabled = EditorGUILayout.Toggle("Enable CUDA", CudaEnabled); + MetalEnabled = EditorGUILayout.Toggle("Enable Metal", MetalEnabled); }, - keywords = new HashSet(new[] { "CUDA", "cuBLAS" }) + keywords = new HashSet(new[] { "CUDA", "cuBLAS", "Metal" }) }; return provider; @@ -39,28 +40,51 @@ public static bool CudaEnabled { if (value == CudaEnabled) return; + SetDefine("WHISPER_CUDA", value); + } + } + + public static bool MetalEnabled + { + get + { +#if WHISPER_METAL + return true; +#else + return false; +#endif + } + set + { + if (value == MetalEnabled) + return; + SetDefine("WHISPER_METAL", value); + } + } - string[] newDefines; - var defines = GetStandaloneDefines(); - - if (value) - { - if (defines.Contains("WHISPER_CUDA")) - return; + private static void SetDefine(string define, bool value) + { + string[] newDefines; + var defines = GetStandaloneDefines(); - newDefines = defines.Append("WHISPER_CUDA").ToArray(); - } - else - { - if (!defines.Contains("WHISPER_CUDA")) - return; + if (value) + { + if (defines.Contains(define)) + return; - newDefines = defines.Where(x => x != "WHISPER_CUDA").ToArray(); - } + newDefines = defines.Append(define).ToArray(); + } + else + { + if (!defines.Contains(define)) + return; - SetStandaloneDefines(newDefines); + newDefines = defines.Where(x => x != define).ToArray(); } + + SetStandaloneDefines(newDefines); } + // This is for older Unity compability private static string[] GetStandaloneDefines() diff --git a/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal b/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal new file mode 100644 index 0000000..5d1357c --- /dev/null +++ b/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal @@ -0,0 +1,2929 @@ +#include + +using namespace metal; + +#define MAX(x, y) ((x) > (y) ? (x) : (y)) + +#define QK4_0 32 +#define QR4_0 2 +typedef struct { + half d; // delta + uint8_t qs[QK4_0 / 2]; // nibbles / quants +} block_q4_0; + +#define QK4_1 32 +typedef struct { + half d; // delta + half m; // min + uint8_t qs[QK4_1 / 2]; // nibbles / quants +} block_q4_1; + +#define QK5_0 32 +typedef struct { + half d; // delta + uint8_t qh[4]; // 5-th bit of quants + uint8_t qs[QK5_0 / 2]; // nibbles / quants +} block_q5_0; + +#define QK5_1 32 +typedef struct { + half d; // delta + half m; // min + uint8_t qh[4]; // 5-th bit of quants + uint8_t qs[QK5_1 / 2]; // nibbles / quants +} block_q5_1; + +#define QK8_0 32 +typedef struct { + half d; // delta + int8_t qs[QK8_0]; // quants +} block_q8_0; + +// general-purpose kernel for addition of two tensors +// pros: works for non-contiguous tensors, supports broadcast across dims 1, 2 and 3 +// cons: not very efficient +kernel void kernel_add( + device const char * src0, + device const char * src1, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant int64_t & nb00, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & nb03, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & nb13, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant int64_t & nb0, + constant int64_t & nb1, + constant int64_t & nb2, + constant int64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig.z; + const int64_t i02 = tgpig.y; + const int64_t i01 = tgpig.x; + + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01 + tpitg.x*nb00; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11 + tpitg.x*nb10; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1 + tpitg.x*nb0; + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + ((device float *)dst_ptr)[0] = ((device float *)src0_ptr)[0] + ((device float *)src1_ptr)[0]; + + src0_ptr += ntg.x*nb00; + src1_ptr += ntg.x*nb10; + dst_ptr += ntg.x*nb0; + } +} + +// assumption: src1 is a row +// broadcast src1 into src0 +kernel void kernel_add_row( + device const float4 * src0, + device const float4 * src1, + device float4 * dst, + constant int64_t & nb [[buffer(27)]], + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] + src1[tpig % nb]; +} + +kernel void kernel_mul( + device const float4 * src0, + device const float4 * src1, + device float4 * dst, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * src1[tpig]; +} + +// assumption: src1 is a row +// broadcast src1 into src0 +kernel void kernel_mul_row( + device const float4 * src0, + device const float4 * src1, + device float4 * dst, + constant int64_t & nb, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * src1[tpig % nb]; +} + +kernel void kernel_scale( + device const float * src0, + device float * dst, + constant float & scale, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * scale; +} + +kernel void kernel_scale_4( + device const float4 * src0, + device float4 * dst, + constant float & scale, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * scale; +} + +kernel void kernel_silu( + device const float4 * src0, + device float4 * dst, + uint tpig[[thread_position_in_grid]]) { + device const float4 & x = src0[tpig]; + dst[tpig] = x / (1.0f + exp(-x)); +} + +kernel void kernel_relu( + device const float * src0, + device float * dst, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = max(0.0f, src0[tpig]); +} + +kernel void kernel_sqr( + device const float * src0, + device float * dst, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * src0[tpig]; +} + +constant float GELU_COEF_A = 0.044715f; +constant float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; + +kernel void kernel_gelu( + device const float4 * src0, + device float4 * dst, + uint tpig[[thread_position_in_grid]]) { + device const float4 & x = src0[tpig]; + + // BEWARE !!! + // Simply using "tanh" instead of "precise::tanh" will sometimes results in NaNs! + // This was observed with Falcon 7B and 40B models + // + dst[tpig] = 0.5f*x*(1.0f + precise::tanh(SQRT_2_OVER_PI*x*(1.0f + GELU_COEF_A*x*x))); +} + +kernel void kernel_soft_max( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + threadgroup float * buf [[threadgroup(0)]], + uint tgpig[[threadgroup_position_in_grid]], + uint tpitg[[thread_position_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint ntg[[threads_per_threadgroup]]) { + const int64_t i03 = (tgpig) / (ne02*ne01); + const int64_t i02 = (tgpig - i03*ne02*ne01) / ne01; + const int64_t i01 = (tgpig - i03*ne02*ne01 - i02*ne01); + + device const float * psrc0 = src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + device float * pdst = dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + // parallel max + float lmax = tpitg < ne00 ? psrc0[tpitg] : -INFINITY; + + for (int i00 = tpitg + ntg; i00 < ne00; i00 += ntg) { + lmax = MAX(lmax, psrc0[i00]); + } + + float max = simd_max(lmax); + if (tiisg == 0) { + buf[sgitg] = max; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // broadcast, simd group number is ntg / 32 + for (uint i = ntg / 32 / 2; i > 0; i /= 2) { + if (tpitg < i) { + buf[tpitg] = MAX(buf[tpitg], buf[tpitg + i]); + } + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + max = buf[0]; + + // parallel sum + float lsum = 0.0f; + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + const float exp_psrc0 = exp(psrc0[i00] - max); + lsum += exp_psrc0; + // Remember the result of exp here. exp is expensive, so we really do not + // wish to compute it twice. + pdst[i00] = exp_psrc0; + } + + float sum = simd_sum(lsum); + if (tiisg == 0) { + buf[sgitg] = sum; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // broadcast, simd group number is ntg / 32 + for (uint i = ntg / 32 / 2; i > 0; i /= 2) { + if (tpitg < i) { + buf[tpitg] += buf[tpitg + i]; + } + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[0]; + + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + pdst[i00] /= sum; + } +} + +kernel void kernel_soft_max_4( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + threadgroup float * buf [[threadgroup(0)]], + uint tgpig[[threadgroup_position_in_grid]], + uint tpitg[[thread_position_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint ntg[[threads_per_threadgroup]]) { + const int64_t i03 = (tgpig) / (ne02*ne01); + const int64_t i02 = (tgpig - i03*ne02*ne01) / ne01; + const int64_t i01 = (tgpig - i03*ne02*ne01 - i02*ne01); + + device const float4 * psrc4 = (device const float4 *)(src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + device float4 * pdst4 = (device float4 *)(dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + + // parallel max + float4 lmax4 = tpitg < ne00/4 ? psrc4[tpitg] : -INFINITY; + + for (int i00 = tpitg + ntg; i00 < ne00/4; i00 += ntg) { + lmax4 = fmax(lmax4, psrc4[i00]); + } + + const float lmax = MAX(MAX(lmax4[0], lmax4[1]), MAX(lmax4[2], lmax4[3])); + float max = simd_max(lmax); + if (tiisg == 0) { + buf[sgitg] = max; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // broadcast, simd group number is ntg / 32 + for (uint i = ntg / 32 / 2; i > 0; i /= 2) { + if (tpitg < i) { + buf[tpitg] = MAX(buf[tpitg], buf[tpitg + i]); + } + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + max = buf[0]; + + // parallel sum + float4 lsum4 = 0.0f; + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + const float4 exp_psrc4 = exp(psrc4[i00] - max); + lsum4 += exp_psrc4; + pdst4[i00] = exp_psrc4; + } + + const float lsum = lsum4[0] + lsum4[1] + lsum4[2] + lsum4[3]; + float sum = simd_sum(lsum); + if (tiisg == 0) { + buf[sgitg] = sum; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // broadcast, simd group number is ntg / 32 + for (uint i = ntg / 32 / 2; i > 0; i /= 2) { + if (tpitg < i) { + buf[tpitg] += buf[tpitg + i]; + } + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[0]; + + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + pdst4[i00] /= sum; + } +} + +kernel void kernel_diag_mask_inf( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int & n_past, + uint3 tpig[[thread_position_in_grid]]) { + const int64_t i02 = tpig[2]; + const int64_t i01 = tpig[1]; + const int64_t i00 = tpig[0]; + + if (i00 > n_past + i01) { + dst[i02*ne01*ne00 + i01*ne00 + i00] = -INFINITY; + } else { + dst[i02*ne01*ne00 + i01*ne00 + i00] = src0[i02*ne01*ne00 + i01*ne00 + i00]; + } +} + +kernel void kernel_diag_mask_inf_8( + device const float4 * src0, + device float4 * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int & n_past, + uint3 tpig[[thread_position_in_grid]]) { + + const int64_t i = 2*tpig[0]; + + dst[i+0] = src0[i+0]; + dst[i+1] = src0[i+1]; + int64_t i4 = 4*i; + const int64_t i02 = i4/(ne00*ne01); i4 -= i02*ne00*ne01; + const int64_t i01 = i4/(ne00); i4 -= i01*ne00; + const int64_t i00 = i4; + for (int k = 3; k >= 0; --k) { + if (i00 + 4 + k <= n_past + i01) { + break; + } + dst[i+1][k] = -INFINITY; + if (i00 + k > n_past + i01) { + dst[i][k] = -INFINITY; + } + } +} + +kernel void kernel_norm( + device const void * src0, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant float & eps, + threadgroup float * sum [[threadgroup(0)]], + uint tgpig[[threadgroup_position_in_grid]], + uint tpitg[[thread_position_in_threadgroup]], + uint ntg[[threads_per_threadgroup]]) { + device const float * x = (device const float *) ((device const char *) src0 + tgpig*nb01); + // MEAN + // parallel sum + sum[tpitg] = 0.0f; + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + sum[tpitg] += x[i00]; + } + // reduce + threadgroup_barrier(mem_flags::mem_threadgroup); + for (uint i = ntg/2; i > 0; i /= 2) { + if (tpitg < i) { + sum[tpitg] += sum[tpitg + i]; + } + threadgroup_barrier(mem_flags::mem_threadgroup); + } + const float mean = sum[0] / ne00; + + // recenter and VARIANCE + threadgroup_barrier(mem_flags::mem_threadgroup); + device float * y = dst + tgpig*ne00; + sum[tpitg] = 0.0f; + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + y[i00] = x[i00] - mean; + sum[tpitg] += y[i00] * y[i00]; + } + + // reduce + threadgroup_barrier(mem_flags::mem_threadgroup); + for (uint i = ntg/2; i > 0; i /= 2) { + if (tpitg < i) { + sum[tpitg] += sum[tpitg + i]; + } + threadgroup_barrier(mem_flags::mem_threadgroup); + } + const float variance = sum[0] / ne00; + + const float scale = 1.0f/sqrt(variance + eps); + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + y[i00] = y[i00] * scale; + } +} + +kernel void kernel_rms_norm( + device const void * src0, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant float & eps, + threadgroup float * sum [[threadgroup(0)]], + uint tgpig[[threadgroup_position_in_grid]], + uint tpitg[[thread_position_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint ntg[[threads_per_threadgroup]]) { + device const float4 * x = (device const float4 *) ((device const char *) src0 + tgpig*nb01); + device const float * x_scalar = (device const float *) x; + + float4 sumf = 0; + float all_sum = 0; + + // parallel sum + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + sumf += x[i00] * x[i00]; + } + all_sum = sumf[0] + sumf[1] + sumf[2] + sumf[3]; + all_sum = simd_sum(all_sum); + if (tiisg == 0) { + sum[sgitg] = all_sum; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // broadcast, simd group number is ntg / 32 + for (uint i = ntg / 32 / 2; i > 0; i /= 2) { + if (tpitg < i) { + sum[tpitg] += sum[tpitg + i]; + } + } + if (tpitg == 0) { + for (int i = 4 * (ne00 / 4); i < ne00; i++) { + sum[0] += x_scalar[i]; + } + sum[0] /= ne00; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + const float mean = sum[0]; + const float scale = 1.0f/sqrt(mean + eps); + + device float4 * y = (device float4 *) (dst + tgpig*ne00); + device float * y_scalar = (device float *) y; + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + y[i00] = x[i00] * scale; + } + if (tpitg == 0) { + for (int i00 = 4 * (ne00 / 4); i00 < ne00; i00++) { + y_scalar[i00] = x_scalar[i00] * scale; + } + } +} + +// function for calculate inner product between half a q4_0 block and 16 floats (yl), sumy is SUM(yl[i]) +// il indicates where the q4 quants begin (0 or QK4_0/4) +// we assume that the yl's have been multiplied with the appropriate scale factor +// that corresponds to the missing bit shifts (1, 1/16, 1/256, 1/4096) +inline float block_q_n_dot_y(device const block_q4_0 * qb_curr, float sumy, thread float * yl, int il) { + float d = qb_curr->d; + + float2 acc = 0.f; + + device const uint16_t * qs = ((device const uint16_t *)qb_curr + 1 + il/2); + + for (int i = 0; i < 8; i+=2) { + acc[0] += yl[i + 0] * (qs[i / 2] & 0x000F) + + yl[i + 1] * (qs[i / 2] & 0x0F00); + acc[1] += yl[i + 8] * (qs[i / 2] & 0x00F0) + + yl[i + 9] * (qs[i / 2] & 0xF000); + } + return d * (sumy * -8.f + acc[0] + acc[1]); +} + +// function for calculate inner product between half a q4_1 block and 16 floats (yl), sumy is SUM(yl[i]) +// il indicates where the q4 quants begin (0 or QK4_0/4) +// we assume that the yl's have been multiplied with the appropriate scale factor +// that corresponds to the missing bit shifts (1, 1/16, 1/256, 1/4096) +inline float block_q_n_dot_y(device const block_q4_1 * qb_curr, float sumy, thread float * yl, int il) { + float d = qb_curr->d; + float m = qb_curr->m; + + float2 acc = 0.f; + + device const uint16_t * qs = ((device const uint16_t *)qb_curr + 2 + il/2); + + for (int i = 0; i < 8; i+=2) { + acc[0] += yl[i + 0] * (qs[i / 2] & 0x000F) + + yl[i + 1] * (qs[i / 2] & 0x0F00); + acc[1] += yl[i + 8] * (qs[i / 2] & 0x00F0) + + yl[i + 9] * (qs[i / 2] & 0xF000); + } + return d * (acc[0] + acc[1]) + sumy * m; +} + +// function for calculate inner product between half a q5_0 block and 16 floats (yl), sumy is SUM(yl[i]) +// il indicates where the q5 quants begin (0 or QK5_0/4) +// we assume that the yl's have been multiplied with the appropriate scale factor +// that corresponds to the missing bit shifts (1, 1/16, 1/256, 1/4096) +inline float block_q_n_dot_y(device const block_q5_0 * qb_curr, float sumy, thread float * yl, int il) { + float d = qb_curr->d; + + float2 acc = 0.f; + + device const uint16_t * qs = ((device const uint16_t *)qb_curr + 3 + il/2); + const uint32_t qh = *((device const uint32_t *)qb_curr->qh); + + for (int i = 0; i < 8; i+=2) { + acc[0] += yl[i + 0] * ((qs[i / 2] & 0x000F) | ((qh >> (i+0+il ) << 4 ) & 0x00010)) + + yl[i + 1] * ((qs[i / 2] & 0x0F00) | ((qh >> (i+1+il ) << 12) & 0x01000)); + acc[1] += yl[i + 8] * ((qs[i / 2] & 0x00F0) | ((qh >> (i+0+il+QK5_0/2) << 8 ) & 0x00100)) + + yl[i + 9] * ((qs[i / 2] & 0xF000) | ((qh >> (i+1+il+QK5_0/2) << 16) & 0x10000)); + } + return d * (sumy * -16.f + acc[0] + acc[1]); +} + +// function for calculate inner product between half a q5_1 block and 16 floats (yl), sumy is SUM(yl[i]) +// il indicates where the q5 quants begin (0 or QK5_1/4) +// we assume that the yl's have been multiplied with the appropriate scale factor +// that corresponds to the missing bit shifts (1, 1/16, 1/256, 1/4096) +inline float block_q_n_dot_y(device const block_q5_1 * qb_curr, float sumy, thread float * yl, int il) { + float d = qb_curr->d; + float m = qb_curr->m; + + float2 acc = 0.f; + + device const uint16_t * qs = ((device const uint16_t *)qb_curr + 4 + il/2); + const uint32_t qh = *((device const uint32_t *)qb_curr->qh); + + for (int i = 0; i < 8; i+=2) { + acc[0] += yl[i + 0] * ((qs[i / 2] & 0x000F) | ((qh >> (i+0+il ) << 4 ) & 0x00010)) + + yl[i + 1] * ((qs[i / 2] & 0x0F00) | ((qh >> (i+1+il ) << 12) & 0x01000)); + acc[1] += yl[i + 8] * ((qs[i / 2] & 0x00F0) | ((qh >> (i+0+il+QK5_0/2) << 8 ) & 0x00100)) + + yl[i + 9] * ((qs[i / 2] & 0xF000) | ((qh >> (i+1+il+QK5_0/2) << 16) & 0x10000)); + } + return d * (acc[0] + acc[1]) + sumy * m; +} + +// putting them in the kernel cause a significant performance penalty +#define N_DST 4 // each SIMD group works on 4 rows +#define N_SIMDGROUP 2 // number of SIMD groups in a thread group +#define N_SIMDWIDTH 32 // assuming SIMD group size is 32 +//Note: This is a template, but strictly speaking it only applies to +// quantizations where the block size is 32. It also does not +// giard against the number of rows not being divisible by +// N_DST, so this is another explicit assumption of the implementation. +template +void mul_vec_q_n_f32(device const void * src0, device const float * src1, device float * dst, + int64_t ne00, int64_t ne01, int64_t ne02, int64_t ne10, int64_t ne12, int64_t ne0, int64_t ne1, uint gqa, + uint3 tgpig, uint tiisg, uint sgitg) { + const int nb = ne00/QK4_0; + + const int r0 = tgpig.x; + const int r1 = tgpig.y; + const int im = tgpig.z; + + const int first_row = (r0 * nsg + sgitg) * nr; + + const uint offset0 = first_row * nb + im/gqa*(nb*ne0); + + device const block_q_type * x = (device const block_q_type *) src0 + offset0; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + + float yl[16]; // src1 vector cache + float sumf[nr] = {0.f}; + + const int ix = (tiisg/2); + const int il = (tiisg%2)*8; + + device const float * yb = y + ix * QK4_0 + il; + + // each thread in a SIMD group deals with half a block. + for (int ib = ix; ib < nb; ib += nw/2) { + float sumy = 0; + for (int i = 0; i < 8; i += 2) { + sumy += yb[i] + yb[i+1]; + yl[i+0] = yb[i+ 0]; + yl[i+1] = yb[i+ 1]/256.f; + + sumy += yb[i+16] + yb[i+17]; + yl[i+8] = yb[i+16]/16.f; + yl[i+9] = yb[i+17]/4096.f; + } + + for (int row = 0; row < nr; row++) { + sumf[row] += block_q_n_dot_y(x+ib+row*nb, sumy, yl, il); + } + + yb += QK4_0 * 16; + } + + for (int row = 0; row < nr; ++row) { + const float tot = simd_sum(sumf[row]); + if (tiisg == 0 && first_row + row < ne01) { + dst[im*ne0*ne1 + r1*ne0 + first_row + row] = tot; + } + } +} + +kernel void kernel_mul_mv_q4_0_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); +} + +kernel void kernel_mul_mv_q4_1_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); +} + +kernel void kernel_mul_mv_q5_0_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); +} + +kernel void kernel_mul_mv_q5_1_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); +} + + +#define NB_Q8_0 8 + +kernel void kernel_mul_mv_q8_0_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + const int nr = N_DST; + const int nsg = N_SIMDGROUP; + const int nw = N_SIMDWIDTH; + + const int nb = ne00/QK8_0; + const int r0 = tgpig.x; + const int r1 = tgpig.y; + const int im = tgpig.z; + const int first_row = (r0 * nsg + sgitg) * nr; + const uint offset0 = first_row * nb + im/gqa*(nb*ne0); + device const block_q8_0 * x = (device const block_q8_0 *) src0 + offset0; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + + float yl[NB_Q8_0]; + float sumf[nr]={0.f}; + + const int ix = tiisg/4; + const int il = tiisg%4; + + device const float * yb = y + ix * QK8_0 + NB_Q8_0*il; + + // each thread in a SIMD group deals with NB_Q8_0 quants at a time + for (int ib = ix; ib < nb; ib += nw/4) { + for (int i = 0; i < NB_Q8_0; ++i) { + yl[i] = yb[i]; + } + + for (int row = 0; row < nr; row++) { + device const int8_t * qs = x[ib+row*nb].qs + NB_Q8_0*il; + float sumq = 0.f; + for (int iq = 0; iq < NB_Q8_0; ++iq) { + sumq += qs[iq] * yl[iq]; + } + sumf[row] += sumq*x[ib+row*nb].d; + } + + yb += NB_Q8_0 * nw; + } + + for (int row = 0; row < nr; ++row) { + const float tot = simd_sum(sumf[row]); + if (tiisg == 0 && first_row + row < ne01) { + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = tot; + } + } +} + +#define N_F32_F32 4 + +kernel void kernel_mul_mv_f32_f32( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + + const int64_t r0 = tgpig.x; + const int64_t rb = tgpig.y*N_F32_F32; + const int64_t im = tgpig.z; + + device const float * x = (device const float *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + + if (ne00 < 128) { + for (int row = 0; row < N_F32_F32; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); + + float sumf = 0; + for (int i = tiisg; i < ne00; i += 32) { + sumf += (float) x[i] * (float) y[i]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } else { + device const float4 * x4 = (device const float4 *)x; + for (int row = 0; row < N_F32_F32; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); + device const float4 * y4 = (device const float4 *) y; + + float sumf = 0; + for (int i = tiisg; i < ne00/4; i += 32) { + for (int k = 0; k < 4; ++k) sumf += (float) x4[i][k] * y4[i][k]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + for (int i = 4*(ne00/4); i < ne00; ++i) all_sum += (float) x[i] * y[i]; + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } +} + +#define N_F16_F16 4 + +kernel void kernel_mul_mv_f16_f16( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + + const int64_t r0 = tgpig.x; + const int64_t rb = tgpig.y*N_F16_F16; + const int64_t im = tgpig.z; + + device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + + if (ne00 < 128) { + for (int row = 0; row < N_F16_F16; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const half * y = (device const half *) (src1 + r1*nb11 + im*nb12); + + float sumf = 0; + for (int i = tiisg; i < ne00; i += 32) { + sumf += (half) x[i] * (half) y[i]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } else { + device const half4 * x4 = (device const half4 *)x; + for (int row = 0; row < N_F16_F16; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const half * y = (device const half *) (src1 + r1*nb11 + im*nb12); + device const half4 * y4 = (device const half4 *) y; + + float sumf = 0; + for (int i = tiisg; i < ne00/4; i += 32) { + for (int k = 0; k < 4; ++k) sumf += (half) x4[i][k] * y4[i][k]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + for (int i = 4*(ne00/4); i < ne00; ++i) all_sum += (half) x[i] * y[i]; + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } +} + +kernel void kernel_mul_mv_f16_f32_1row( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + + const int64_t r0 = tgpig.x; + const int64_t r1 = tgpig.y; + const int64_t im = tgpig.z; + + device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); + + float sumf = 0; + if (ne00 < 128) { + for (int i = tiisg; i < ne00; i += 32) { + sumf += (float) x[i] * (float) y[i]; + } + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } else { + device const half4 * x4 = (device const half4 *) x; + device const float4 * y4 = (device const float4 *) y; + for (int i = tiisg; i < ne00/4; i += 32) { + for (int k = 0; k < 4; ++k) sumf += (float)x4[i][k] * y4[i][k]; + } + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + for (int i = 4*(ne00/4); i < ne00; ++i) all_sum += (float) x[i] * y[i]; + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + +} + +#define N_F16_F32 4 + +kernel void kernel_mul_mv_f16_f32( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + + const int64_t r0 = tgpig.x; + const int64_t rb = tgpig.y*N_F16_F32; + const int64_t im = tgpig.z; + + device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + + if (ne00 < 128) { + for (int row = 0; row < N_F16_F32; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); + + float sumf = 0; + for (int i = tiisg; i < ne00; i += 32) { + sumf += (float) x[i] * (float) y[i]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } else { + device const half4 * x4 = (device const half4 *)x; + for (int row = 0; row < N_F16_F32; ++row) { + int r1 = rb + row; + if (r1 >= ne11) { + break; + } + + device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); + device const float4 * y4 = (device const float4 *) y; + + float sumf = 0; + for (int i = tiisg; i < ne00/4; i += 32) { + for (int k = 0; k < 4; ++k) sumf += (float) x4[i][k] * y4[i][k]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + for (int i = 4*(ne00/4); i < ne00; ++i) all_sum += (float) x[i] * y[i]; + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } + } +} + +// Assumes row size (ne00) is a multiple of 4 +kernel void kernel_mul_mv_f16_f32_l4( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + + const int nrows = ne11; + const int64_t r0 = tgpig.x; + const int64_t im = tgpig.z; + + device const half4 * x4 = (device const half4 *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + + for (int r1 = 0; r1 < nrows; ++r1) { + device const float4 * y4 = (device const float4 *) (src1 + r1*nb11 + im*nb12); + + float sumf = 0; + for (int i = tiisg; i < ne00/4; i += 32) { + for (int k = 0; k < 4; ++k) sumf += (float) x4[i][k] * y4[i][k]; + } + + float all_sum = simd_sum(sumf); + if (tiisg == 0) { + dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; + } + } +} + +kernel void kernel_alibi_f32( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + constant float & m0, + constant float & m1, + constant int & n_heads_log2_floor, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + float m_k; + if (i2 < n_heads_log2_floor) { + m_k = pow(m0, i2 + 1); + } else { + m_k = pow(m1, 2 * (i2 - n_heads_log2_floor) + 1); + } + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + dst_data[i00] = src[0] + m_k * (i00 - ne00 + 1); + } +} + +static float rope_yarn_ramp(const float low, const float high, const int i0) { + const float y = (i0 / 2 - low) / max(0.001f, high - low); + return 1.0f - min(1.0f, max(0.0f, y)); +} + +// YaRN algorithm based on LlamaYaRNScaledRotaryEmbedding.py from https://github.com/jquesnelle/yarn +// MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng. +static void rope_yarn( + float theta_extrap, float freq_scale, float corr_dims[2], int64_t i0, float ext_factor, float mscale, + thread float * cos_theta, thread float * sin_theta +) { + // Get n-d rotational scaling corrected for extrapolation + float theta_interp = freq_scale * theta_extrap; + float theta = theta_interp; + if (ext_factor != 0.0f) { + float ramp_mix = rope_yarn_ramp(corr_dims[0], corr_dims[1], i0) * ext_factor; + theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; + + // Get n-d magnitude scaling corrected for interpolation + mscale *= 1.0f + 0.1f * log(1.0f / freq_scale); + } + *cos_theta = cos(theta) * mscale; + *sin_theta = sin(theta) * mscale; +} + +// Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get +// `corr_fac(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))` +static float rope_yarn_corr_factor(int n_dims, int n_orig_ctx, float n_rot, float base) { + return n_dims * log(n_orig_ctx / (n_rot * 2 * M_PI_F)) / (2 * log(base)); +} + +static void rope_yarn_corr_dims( + int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2] +) { + // start and end correction dims + dims[0] = max(0.0f, floor(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_fast, freq_base))); + dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_slow, freq_base))); +} + +typedef void (rope_t)( + device const void * src0, + device const int32_t * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + constant int & n_past, + constant int & n_dims, + constant int & mode, + constant int & n_orig_ctx, + constant float & freq_base, + constant float & freq_scale, + constant float & ext_factor, + constant float & attn_factor, + constant float & beta_fast, + constant float & beta_slow, + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg[[threads_per_threadgroup]], + uint3 tgpig[[threadgroup_position_in_grid]]); + +template +kernel void kernel_rope( + device const void * src0, + device const int32_t * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + constant int & n_past, + constant int & n_dims, + constant int & mode, + constant int & n_orig_ctx, + constant float & freq_base, + constant float & freq_scale, + constant float & ext_factor, + constant float & attn_factor, + constant float & beta_fast, + constant float & beta_slow, + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg[[threads_per_threadgroup]], + uint3 tgpig[[threadgroup_position_in_grid]]) { + const int64_t i3 = tgpig[2]; + const int64_t i2 = tgpig[1]; + const int64_t i1 = tgpig[0]; + + const bool is_neox = mode & 2; + + float corr_dims[2]; + rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims); + + device const int32_t * pos = src1; + + const int64_t p = pos[i2]; + + const float theta_0 = (float)p; + const float inv_ndims = -1.f/n_dims; + + if (!is_neox) { + for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) { + + const float theta = theta_0 * pow(freq_base, inv_ndims*i0); + float cos_theta, sin_theta; + rope_yarn(theta, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta); + + device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + device T * dst_data = (device T *)((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + const T x0 = src[0]; + const T x1 = src[1]; + + dst_data[0] = x0*cos_theta - x1*sin_theta; + dst_data[1] = x0*sin_theta + x1*cos_theta; + } + } else { + for (int64_t ib = 0; ib < ne0/n_dims; ++ib) { + for (int64_t ic = 2*tiitg; ic < n_dims; ic += 2*tptg.x) { + + // simplified from `(ib * n_dims + ic) * inv_ndims` + const float cur_rot = inv_ndims*ic - ib; + + const float theta = theta_0 * pow(freq_base, cur_rot); + float cos_theta, sin_theta; + rope_yarn(theta, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta); + + const int64_t i0 = ib*n_dims + ic/2; + + device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + device T * dst_data = (device T *)((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + const float x0 = src[0]; + const float x1 = src[n_dims/2]; + + dst_data[0] = x0*cos_theta - x1*sin_theta; + dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta; + } + } + } +} + +template [[host_name("kernel_rope_f32")]] kernel rope_t kernel_rope; +template [[host_name("kernel_rope_f16")]] kernel rope_t kernel_rope; + +kernel void kernel_im2col_f16( + device const float * x, + device half * dst, + constant int32_t & ofs0, + constant int32_t & ofs1, + constant int32_t & IW, + constant int32_t & IH, + constant int32_t & CHW, + constant int32_t & s0, + constant int32_t & s1, + constant int32_t & p0, + constant int32_t & p1, + constant int32_t & d0, + constant int32_t & d1, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tgpg[[threadgroups_per_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int32_t iiw = tgpig[2] * s0 + tpitg[2] * d0 - p0; + const int32_t iih = tgpig[1] * s1 + tpitg[1] * d1 - p1; + + const int32_t offset_dst = + (tpitg[0] * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * CHW + + (tgpig[0] * (ntg[1] * ntg[2]) + tpitg[1] * ntg[2] + tpitg[2]); + + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { + dst[offset_dst] = 0.0f; + } else { + const int32_t offset_src = tpitg[0] * ofs0 + tgpig[0] * ofs1; + dst[offset_dst] = x[offset_src + iih * IW + iiw]; + } +} + +kernel void kernel_cpy_f16_f16( + device const half * src0, + device half * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const half * src = (device half *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + dst_data[i00] = src[0]; + } +} + +kernel void kernel_cpy_f32_f16( + device const float * src0, + device half * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + dst_data[i00] = src[0]; + } +} + +kernel void kernel_cpy_f32_f32( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + dst_data[i00] = src[0]; + } +} + +kernel void kernel_concat( + device const char * src0, + device const char * src1, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant uint64_t & nb13, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i03 = tgpig.z; + const int64_t i02 = tgpig.y; + const int64_t i01 = tgpig.x; + + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + + device const char * src0_ptr = src0 + i03 * nb03 + i02 * nb02 + i01 * nb01 + tpitg.x*nb00; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11 + tpitg.x*nb10; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1 + tpitg.x*nb0; + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + if (i02 < ne02) { + ((device float *)dst_ptr)[0] = ((device float *)src0_ptr)[0]; + src0_ptr += ntg.x*nb00; + } else { + ((device float *)dst_ptr)[0] = ((device float *)src1_ptr)[0]; + src1_ptr += ntg.x*nb10; + } + dst_ptr += ntg.x*nb0; + } +} + +//============================================ k-quants ====================================================== + +#ifndef QK_K +#define QK_K 256 +#else +static_assert(QK_K == 256 || QK_K == 64, "QK_K must be 256 or 64"); +#endif + +#if QK_K == 256 +#define K_SCALE_SIZE 12 +#else +#define K_SCALE_SIZE 4 +#endif + +typedef struct { + uint8_t scales[QK_K/16]; // scales and mins, quantized with 4 bits + uint8_t qs[QK_K/4]; // quants + half d; // super-block scale for quantized scales + half dmin; // super-block scale for quantized mins +} block_q2_K; +// 84 bytes / block + +typedef struct { + uint8_t hmask[QK_K/8]; // quants - high bit + uint8_t qs[QK_K/4]; // quants - low 2 bits +#if QK_K == 64 + uint8_t scales[2]; +#else + uint8_t scales[K_SCALE_SIZE]; // scales, quantized with 6 bits +#endif + half d; // super-block scale +} block_q3_K; + +#if QK_K == 64 +typedef struct { + half d[2]; // super-block scales/mins + uint8_t scales[2]; + uint8_t qs[QK_K/2]; // 4-bit quants +} block_q4_K; +#else +typedef struct { + half d; // super-block scale for quantized scales + half dmin; // super-block scale for quantized mins + uint8_t scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits + uint8_t qs[QK_K/2]; // 4--bit quants +} block_q4_K; +#endif + +#if QK_K == 64 +typedef struct { + half d; // super-block scales/mins + int8_t scales[QK_K/16]; // 8-bit block scales + uint8_t qh[QK_K/8]; // quants, high bit + uint8_t qs[QK_K/2]; // quants, low 4 bits +} block_q5_K; +#else +typedef struct { + half d; // super-block scale for quantized scales + half dmin; // super-block scale for quantized mins + uint8_t scales[3*QK_K/64]; // scales and mins, quantized with 6 bits + uint8_t qh[QK_K/8]; // quants, high bit + uint8_t qs[QK_K/2]; // quants, low 4 bits +} block_q5_K; +// 176 bytes / block +#endif + +typedef struct { + uint8_t ql[QK_K/2]; // quants, lower 4 bits + uint8_t qh[QK_K/4]; // quants, upper 2 bits + int8_t scales[QK_K/16]; // scales, quantized with 8 bits + half d; // super-block scale +} block_q6_K; +// 210 bytes / block + +static inline uchar4 get_scale_min_k4(int j, device const uint8_t * q) { + uchar4 r; + if (j < 4) { + r[0] = q[j+0] & 63; + r[2] = q[j+1] & 63; + r[1] = q[j+4] & 63; + r[3] = q[j+5] & 63; + } else { + r[0] = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4); + r[2] = (q[j+5] & 0xF) | ((q[j-3] >> 6) << 4); + r[1] = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4); + r[3] = (q[j+5] >> 4) | ((q[j+1] >> 6) << 4); + } + return r; +} + +//====================================== dot products ========================= + +kernel void kernel_mul_mv_q2_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const int nb = ne00/QK_K; + const int r0 = tgpig.x; + const int r1 = tgpig.y; + const int r2 = tgpig.z; + + const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; + const int ib_row = first_row * nb; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q2_K * x = (device const block_q2_K *) src0 + ib_row + offset0; + device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + float yl[32]; + float sumf[N_DST]={0.f}, all_sum; + + const int step = sizeof(block_q2_K) * nb; + +#if QK_K == 256 + const int ix = tiisg/8; // 0...3 + const int it = tiisg%8; // 0...7 + const int im = it/4; // 0 or 1 + const int ir = it%4; // 0...3 + const int is = (8*ir)/16;// 0 or 1 + + device const float * y4 = y + ix * QK_K + 128 * im + 8 * ir; + + for (int ib = ix; ib < nb; ib += 4) { + + float4 sumy = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; ++i) { + yl[i+ 0] = y4[i+ 0]; sumy[0] += yl[i+ 0]; + yl[i+ 8] = y4[i+32]; sumy[1] += yl[i+ 8]; + yl[i+16] = y4[i+64]; sumy[2] += yl[i+16]; + yl[i+24] = y4[i+96]; sumy[3] += yl[i+24]; + } + + device const uint8_t * sc = (device const uint8_t *)x[ib].scales + 8*im + is; + device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 16 * im + 4 * ir; + device const half * dh = &x[ib].d; + + for (int row = 0; row < N_DST; row++) { + + float4 acc1 = {0.f, 0.f, 0.f, 0.f}; + float4 acc2 = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; i += 2) { + acc1[0] += yl[i+ 0] * (qs[i/2] & 0x0003); + acc2[0] += yl[i+ 1] * (qs[i/2] & 0x0300); + acc1[1] += yl[i+ 8] * (qs[i/2] & 0x000c); + acc2[1] += yl[i+ 9] * (qs[i/2] & 0x0c00); + acc1[2] += yl[i+16] * (qs[i/2] & 0x0030); + acc2[2] += yl[i+17] * (qs[i/2] & 0x3000); + acc1[3] += yl[i+24] * (qs[i/2] & 0x00c0); + acc2[3] += yl[i+25] * (qs[i/2] & 0xc000); + } + float dall = dh[0]; + float dmin = dh[1] * 1.f/16.f; + sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc2[0]) * (sc[0] & 0xF) * 1.f/ 1.f + + (acc1[1] + 1.f/256.f * acc2[1]) * (sc[2] & 0xF) * 1.f/ 4.f + + (acc1[2] + 1.f/256.f * acc2[2]) * (sc[4] & 0xF) * 1.f/16.f + + (acc1[3] + 1.f/256.f * acc2[3]) * (sc[6] & 0xF) * 1.f/64.f) - + dmin * (sumy[0] * (sc[0] & 0xF0) + sumy[1] * (sc[2] & 0xF0) + sumy[2] * (sc[4] & 0xF0) + sumy[3] * (sc[6] & 0xF0)); + + qs += step/2; + sc += step; + dh += step/2; + } + + y4 += 4 * QK_K; + } +#else + const int ix = tiisg/2; // 0...15 + const int it = tiisg%2; // 0...1 + + device const float * y4 = y + ix * QK_K + 8 * it; + + for (int ib = ix; ib < nb; ib += 16) { + + float4 sumy = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; ++i) { + yl[i+ 0] = y4[i+ 0]; sumy[0] += yl[i+ 0]; + yl[i+ 8] = y4[i+16]; sumy[1] += yl[i+ 8]; + yl[i+16] = y4[i+32]; sumy[2] += yl[i+16]; + yl[i+24] = y4[i+48]; sumy[3] += yl[i+24]; + } + + device const uint8_t * sc = (device const uint8_t *)x[ib].scales; + device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 4 * it; + device const half * dh = &x[ib].d; + + for (int row = 0; row < N_DST; row++) { + + float4 acc1 = {0.f, 0.f, 0.f, 0.f}; + float4 acc2 = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; i += 2) { + acc1[0] += yl[i+ 0] * (qs[i/2] & 0x0003); + acc2[0] += yl[i+ 1] * (qs[i/2] & 0x0300); + acc1[1] += yl[i+ 8] * (qs[i/2] & 0x000c); + acc2[1] += yl[i+ 9] * (qs[i/2] & 0x0c00); + acc1[2] += yl[i+16] * (qs[i/2] & 0x0030); + acc2[2] += yl[i+17] * (qs[i/2] & 0x3000); + acc1[3] += yl[i+24] * (qs[i/2] & 0x00c0); + acc2[3] += yl[i+25] * (qs[i/2] & 0xc000); + } + + float dall = dh[0]; + float dmin = dh[1]; + sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc2[0]) * (sc[0] & 0xF) * 1.f/ 1.f + + (acc1[1] + 1.f/256.f * acc2[1]) * (sc[1] & 0xF) * 1.f/ 4.f + + (acc1[2] + 1.f/256.f * acc2[2]) * (sc[2] & 0xF) * 1.f/16.f + + (acc1[3] + 1.f/256.f * acc2[3]) * (sc[3] & 0xF) * 1.f/64.f) - + dmin * (sumy[0] * (sc[0] >> 4) + sumy[1] * (sc[1] >> 4) + sumy[2] * (sc[2] >> 4) + sumy[3] * (sc[3] >> 4)); + + qs += step/2; + sc += step; + dh += step/2; + } + + y4 += 16 * QK_K; + } +#endif + + for (int row = 0; row < N_DST; ++row) { + all_sum = simd_sum(sumf[row]); + if (tiisg == 0) { + dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = all_sum; + } + } +} + +#if QK_K == 256 +kernel void kernel_mul_mv_q3_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const int nb = ne00/QK_K; + + const int64_t r0 = tgpig.x; + const int64_t r1 = tgpig.y; + const int64_t r2 = tgpig.z; + + const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q3_K * x = (device const block_q3_K *) src0 + first_row*nb + offset0; + device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + + float yl[32]; + + //const uint16_t kmask1 = 0x3030; + //const uint16_t kmask2 = 0x0f0f; + + const int tid = tiisg/4; + const int ix = tiisg%4; + const int ip = tid/4; // 0 or 1 + const int il = 2*((tid%4)/2); // 0 or 2 + const int ir = tid%2; + const int n = 8; + const int l0 = n*ir; + + // One would think that the Metal compiler would figure out that ip and il can only have + // 4 possible states, and optimize accordingly. Well, no. It needs help, and we do it + // with these two tales. + // + // Possible masks for the high bit + const ushort4 mm[4] = {{0x0001, 0x0100, 0x0002, 0x0200}, // ip = 0, il = 0 + {0x0004, 0x0400, 0x0008, 0x0800}, // ip = 0, il = 2 + {0x0010, 0x1000, 0x0020, 0x2000}, // ip = 1, il = 0 + {0x0040, 0x4000, 0x0080, 0x8000}}; // ip = 1, il = 2 + + // Possible masks for the low 2 bits + const int4 qm[2] = {{0x0003, 0x0300, 0x000c, 0x0c00}, {0x0030, 0x3000, 0x00c0, 0xc000}}; + + const ushort4 hm = mm[2*ip + il/2]; + + const int shift = 2*il; + const float v1 = il == 0 ? 4.f : 64.f; + const float v2 = 4.f * v1; + + const uint16_t s_shift1 = 4*ip; + const uint16_t s_shift2 = s_shift1 + il; + + const int q_offset = 32*ip + l0; + const int y_offset = 128*ip + 32*il + l0; + + const int step = sizeof(block_q3_K) * nb / 2; + + device const float * y1 = yy + ix*QK_K + y_offset; + + uint32_t scales32, aux32; + thread uint16_t * scales16 = (thread uint16_t *)&scales32; + thread const int8_t * scales = (thread const int8_t *)&scales32; + + float sumf1[2] = {0.f}; + float sumf2[2] = {0.f}; + for (int i = ix; i < nb; i += 4) { + + for (int l = 0; l < 8; ++l) { + yl[l+ 0] = y1[l+ 0]; + yl[l+ 8] = y1[l+16]; + yl[l+16] = y1[l+32]; + yl[l+24] = y1[l+48]; + } + + device const uint16_t * q = (device const uint16_t *)(x[i].qs + q_offset); + device const uint16_t * h = (device const uint16_t *)(x[i].hmask + l0); + device const uint16_t * a = (device const uint16_t *)(x[i].scales); + device const half * dh = &x[i].d; + + for (int row = 0; row < 2; ++row) { + + const float d_all = (float)dh[0]; + + scales16[0] = a[4]; + scales16[1] = a[5]; + aux32 = ((scales32 >> s_shift2) << 4) & 0x30303030; + scales16[0] = a[il+0]; + scales16[1] = a[il+1]; + scales32 = ((scales32 >> s_shift1) & 0x0f0f0f0f) | aux32; + + float s1 = 0, s2 = 0, s3 = 0, s4 = 0, s5 = 0, s6 = 0; + for (int l = 0; l < n; l += 2) { + const int32_t qs = q[l/2]; + s1 += yl[l+0] * (qs & qm[il/2][0]); + s2 += yl[l+1] * (qs & qm[il/2][1]); + s3 += ((h[l/2] & hm[0]) ? 0.f : yl[l+0]) + ((h[l/2] & hm[1]) ? 0.f : yl[l+1]); + s4 += yl[l+16] * (qs & qm[il/2][2]); + s5 += yl[l+17] * (qs & qm[il/2][3]); + s6 += ((h[l/2] & hm[2]) ? 0.f : yl[l+16]) + ((h[l/2] & hm[3]) ? 0.f : yl[l+17]); + } + float d1 = d_all * (s1 + 1.f/256.f * s2 - s3*v1); + float d2 = d_all * (s4 + 1.f/256.f * s5 - s6*v2); + sumf1[row] += d1 * (scales[0] - 32); + sumf2[row] += d2 * (scales[2] - 32); + + s1 = s2 = s3 = s4 = s5 = s6 = 0; + for (int l = 0; l < n; l += 2) { + const int32_t qs = q[l/2+8]; + s1 += yl[l+8] * (qs & qm[il/2][0]); + s2 += yl[l+9] * (qs & qm[il/2][1]); + s3 += ((h[l/2+8] & hm[0]) ? 0.f : yl[l+8]) + ((h[l/2+8] & hm[1]) ? 0.f : yl[l+9]); + s4 += yl[l+24] * (qs & qm[il/2][2]); + s5 += yl[l+25] * (qs & qm[il/2][3]); + s6 += ((h[l/2+8] & hm[2]) ? 0.f : yl[l+24]) + ((h[l/2+8] & hm[3]) ? 0.f : yl[l+25]); + } + d1 = d_all * (s1 + 1.f/256.f * s2 - s3*v1); + d2 = d_all * (s4 + 1.f/256.f * s5 - s6*v2); + sumf1[row] += d1 * (scales[1] - 32); + sumf2[row] += d2 * (scales[3] - 32); + + q += step; + h += step; + a += step; + dh += step; + + } + + y1 += 4 * QK_K; + + } + + for (int row = 0; row < 2; ++row) { + const float sumf = (sumf1[row] + 0.25f * sumf2[row]) / (1 << shift); + sumf1[row] = simd_sum(sumf); + } + if (tiisg == 0) { + for (int row = 0; row < 2; ++row) { + dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = sumf1[row]; + } + } +} +#else +kernel void kernel_mul_mv_q3_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const int nb = ne00/QK_K; + + const int64_t r0 = tgpig.x; + const int64_t r1 = tgpig.y; + const int64_t r2 = tgpig.z; + + const int row = 2 * r0 + sgitg; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q3_K * x = (device const block_q3_K *) src0 + row*nb + offset0; + device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + const int ix = tiisg/4; + const int il = 4 * (tiisg%4);// 0, 4, 8, 12 + const int im = il/8; // 0, 0, 1, 1 + const int in = il%8; // 0, 4, 0, 4 + + float2 sum = {0.f, 0.f}; + + for (int i = ix; i < nb; i += 8) { + + const float d_all = (float)(x[i].d); + + device const uint16_t * q = (device const uint16_t *)(x[i].qs + il); + device const uint16_t * h = (device const uint16_t *)(x[i].hmask + in); + device const uint16_t * s = (device const uint16_t *)(x[i].scales); + device const float * y = yy + i * QK_K + il; + + const float d1 = d_all * ((int32_t)(s[0] & 0x000F) - 8); + const float d2 = d_all * ((int32_t)(s[0] & 0x00F0) - 128) * 1.f/64.f; + const float d3 = d_all * ((int32_t)(s[0] & 0x0F00) - 2048) * 1.f/4096.f; + const float d4 = d_all * ((int32_t)(s[0] & 0xF000) - 32768) * 1.f/262144.f; + + for (int l = 0; l < 4; l += 2) { + const uint16_t hm = h[l/2] >> im; + sum[0] += y[l+ 0] * d1 * ((int32_t)(q[l/2] & 0x0003) - ((hm & 0x0001) ? 0 : 4)) + + y[l+16] * d2 * ((int32_t)(q[l/2] & 0x000c) - ((hm & 0x0004) ? 0 : 16)) + + y[l+32] * d3 * ((int32_t)(q[l/2] & 0x0030) - ((hm & 0x0010) ? 0 : 64)) + + y[l+48] * d4 * ((int32_t)(q[l/2] & 0x00c0) - ((hm & 0x0040) ? 0 : 256)); + sum[1] += y[l+ 1] * d1 * ((int32_t)(q[l/2] & 0x0300) - ((hm & 0x0100) ? 0 : 1024)) + + y[l+17] * d2 * ((int32_t)(q[l/2] & 0x0c00) - ((hm & 0x0400) ? 0 : 4096)) + + y[l+33] * d3 * ((int32_t)(q[l/2] & 0x3000) - ((hm & 0x1000) ? 0 : 16384)) + + y[l+49] * d4 * ((int32_t)(q[l/2] & 0xc000) - ((hm & 0x4000) ? 0 : 65536)); + } + + } + const float sumf = sum[0] + sum[1] * 1.f/256.f; + + const float tot = simd_sum(sumf); + if (tiisg == 0) { + dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + } + +} +#endif + +#if QK_K == 256 +kernel void kernel_mul_mv_q4_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01 [[buffer(4)]], + constant int64_t & ne02 [[buffer(5)]], + constant int64_t & ne10 [[buffer(9)]], + constant int64_t & ne12 [[buffer(11)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & gqa [[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const uint16_t kmask1 = 0x3f3f; + const uint16_t kmask2 = 0x0f0f; + const uint16_t kmask3 = 0xc0c0; + + const int ix = tiisg/8; // 0...3 + const int it = tiisg%8; // 0...7 + const int im = it/4; // 0 or 1 + const int ir = it%4; // 0...3 + + const int nb = ne00/QK_K; + const int r0 = tgpig.x; + const int r1 = tgpig.y; + const int r2 = tgpig.z; + //const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; + const int first_row = r0 * N_DST; + const int ib_row = first_row * nb; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q4_K * x = (device const block_q4_K *) src0 + ib_row + offset0; + device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + float yl[16]; + float yh[16]; + float sumf[N_DST]={0.f}, all_sum; + + const int step = sizeof(block_q4_K) * nb / 2; + + device const float * y4 = y + ix * QK_K + 64 * im + 8 * ir; + + uint16_t sc16[4]; + thread const uint8_t * sc8 = (thread const uint8_t *)sc16; + + for (int ib = ix; ib < nb; ib += 4) { + + float4 sumy = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; ++i) { + yl[i+0] = y4[i+ 0]; sumy[0] += yl[i+0]; + yl[i+8] = y4[i+ 32]; sumy[1] += yl[i+8]; + yh[i+0] = y4[i+128]; sumy[2] += yh[i+0]; + yh[i+8] = y4[i+160]; sumy[3] += yh[i+8]; + } + + device const uint16_t * sc = (device const uint16_t *)x[ib].scales + im; + device const uint16_t * q1 = (device const uint16_t *)x[ib].qs + 16 * im + 4 * ir; + device const half * dh = &x[ib].d; + + for (int row = 0; row < N_DST; row++) { + + sc16[0] = sc[0] & kmask1; + sc16[1] = sc[2] & kmask1; + sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2); + sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2); + + device const uint16_t * q2 = q1 + 32; + + float4 acc1 = {0.f, 0.f, 0.f, 0.f}; + float4 acc2 = {0.f, 0.f, 0.f, 0.f}; + for (int i = 0; i < 8; i += 2) { + acc1[0] += yl[i+0] * (q1[i/2] & 0x000F); + acc1[1] += yl[i+1] * (q1[i/2] & 0x0F00); + acc1[2] += yl[i+8] * (q1[i/2] & 0x00F0); + acc1[3] += yl[i+9] * (q1[i/2] & 0xF000); + acc2[0] += yh[i+0] * (q2[i/2] & 0x000F); + acc2[1] += yh[i+1] * (q2[i/2] & 0x0F00); + acc2[2] += yh[i+8] * (q2[i/2] & 0x00F0); + acc2[3] += yh[i+9] * (q2[i/2] & 0xF000); + } + + float dall = dh[0]; + float dmin = dh[1]; + sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc1[1]) * sc8[0] + + (acc1[2] + 1.f/256.f * acc1[3]) * sc8[1] * 1.f/16.f + + (acc2[0] + 1.f/256.f * acc2[1]) * sc8[4] + + (acc2[2] + 1.f/256.f * acc2[3]) * sc8[5] * 1.f/16.f) - + dmin * (sumy[0] * sc8[2] + sumy[1] * sc8[3] + sumy[2] * sc8[6] + sumy[3] * sc8[7]); + + q1 += step; + sc += step; + dh += step; + } + + y4 += 4 * QK_K; + } + + for (int row = 0; row < N_DST; ++row) { + all_sum = simd_sum(sumf[row]); + if (tiisg == 0) { + dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = all_sum; + } + } +} +#else +kernel void kernel_mul_mv_q4_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const int ix = tiisg/4; // 0...7 + const int it = tiisg%4; // 0...3 + + const int nb = ne00/QK_K; + const int r0 = tgpig.x; + const int r1 = tgpig.y; + const int r2 = tgpig.z; + const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; + const int ib_row = first_row * nb; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q4_K * x = (device const block_q4_K *) src0 + ib_row + offset0; + device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + float yl[8]; + float yh[8]; + float sumf[N_DST]={0.f}, all_sum; + + const int step = sizeof(block_q4_K) * nb / 2; + + device const float * y4 = y + ix * QK_K + 8 * it; + + uint16_t sc16[4]; + + for (int ib = ix; ib < nb; ib += 8) { + + float2 sumy = {0.f, 0.f}; + for (int i = 0; i < 8; ++i) { + yl[i] = y4[i+ 0]; sumy[0] += yl[i]; + yh[i] = y4[i+32]; sumy[1] += yh[i]; + } + + device const uint16_t * sc = (device const uint16_t *)x[ib].scales; + device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 4 * it; + device const half * dh = x[ib].d; + + for (int row = 0; row < N_DST; row++) { + + sc16[0] = sc[0] & 0x000f; + sc16[1] = sc[0] & 0x0f00; + sc16[2] = sc[0] & 0x00f0; + sc16[3] = sc[0] & 0xf000; + + float2 acc1 = {0.f, 0.f}; + float2 acc2 = {0.f, 0.f}; + for (int i = 0; i < 8; i += 2) { + acc1[0] += yl[i+0] * (qs[i/2] & 0x000F); + acc1[1] += yl[i+1] * (qs[i/2] & 0x0F00); + acc2[0] += yh[i+0] * (qs[i/2] & 0x00F0); + acc2[1] += yh[i+1] * (qs[i/2] & 0xF000); + } + + float dall = dh[0]; + float dmin = dh[1]; + sumf[row] += dall * ((acc1[0] + 1.f/256.f * acc1[1]) * sc16[0] + + (acc2[0] + 1.f/256.f * acc2[1]) * sc16[1] * 1.f/4096.f) - + dmin * 1.f/16.f * (sumy[0] * sc16[2] + sumy[1] * sc16[3] * 1.f/256.f); + + qs += step; + sc += step; + dh += step; + } + + y4 += 8 * QK_K; + } + + for (int row = 0; row < N_DST; ++row) { + all_sum = simd_sum(sumf[row]); + if (tiisg == 0) { + dst[r1*ne0+ r2*ne0*ne1 + first_row + row] = all_sum; + } + } +} +#endif + +kernel void kernel_mul_mv_q5_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const int nb = ne00/QK_K; + + const int64_t r0 = tgpig.x; + const int64_t r1 = tgpig.y; + const int r2 = tgpig.z; + + const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q5_K * x = (device const block_q5_K *) src0 + first_row*nb + offset0; + device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + + float sumf[2]={0.f}; + + const int step = sizeof(block_q5_K) * nb; + +#if QK_K == 256 +# + float yl[16], yh[16]; + + const uint16_t kmask1 = 0x3f3f; + const uint16_t kmask2 = 0x0f0f; + const uint16_t kmask3 = 0xc0c0; + + const int tid = tiisg/4; + const int ix = tiisg%4; + const int im = tid/4; + const int ir = tid%4; + const int n = 8; + + const int l0 = n*ir; + const int q_offset = 32*im + l0; + const int y_offset = 64*im + l0; + + const uint8_t hm1 = 1u << (2*im); + const uint8_t hm2 = hm1 << 1; + const uint8_t hm3 = hm1 << 4; + const uint8_t hm4 = hm2 << 4; + + uint16_t sc16[4]; + thread const uint8_t * sc8 = (thread const uint8_t *)sc16; + + device const float * y1 = yy + ix*QK_K + y_offset; + + for (int i = ix; i < nb; i += 4) { + + device const uint8_t * q1 = x[i].qs + q_offset; + device const uint8_t * qh = x[i].qh + l0; + device const half * dh = &x[i].d; + device const uint16_t * a = (device const uint16_t *)x[i].scales + im; + + device const float * y2 = y1 + 128; + float4 sumy = {0.f, 0.f, 0.f, 0.f}; + for (int l = 0; l < 8; ++l) { + yl[l+0] = y1[l+ 0]; sumy[0] += yl[l+0]; + yl[l+8] = y1[l+32]; sumy[1] += yl[l+8]; + yh[l+0] = y2[l+ 0]; sumy[2] += yh[l+0]; + yh[l+8] = y2[l+32]; sumy[3] += yh[l+8]; + } + + for (int row = 0; row < 2; ++row) { + + device const uint8_t * q2 = q1 + 64; + + sc16[0] = a[0] & kmask1; + sc16[1] = a[2] & kmask1; + sc16[2] = ((a[4] >> 0) & kmask2) | ((a[0] & kmask3) >> 2); + sc16[3] = ((a[4] >> 4) & kmask2) | ((a[2] & kmask3) >> 2); + + float4 acc1 = {0.f}; + float4 acc2 = {0.f}; + for (int l = 0; l < n; ++l) { + uint8_t h = qh[l]; + acc1[0] += yl[l+0] * (q1[l] & 0x0F); + acc1[1] += yl[l+8] * (q1[l] & 0xF0); + acc1[2] += yh[l+0] * (q2[l] & 0x0F); + acc1[3] += yh[l+8] * (q2[l] & 0xF0); + acc2[0] += h & hm1 ? yl[l+0] : 0.f; + acc2[1] += h & hm2 ? yl[l+8] : 0.f; + acc2[2] += h & hm3 ? yh[l+0] : 0.f; + acc2[3] += h & hm4 ? yh[l+8] : 0.f; + } + const float dall = dh[0]; + const float dmin = dh[1]; + sumf[row] += dall * (sc8[0] * (acc1[0] + 16.f*acc2[0]) + + sc8[1] * (acc1[1]/16.f + 16.f*acc2[1]) + + sc8[4] * (acc1[2] + 16.f*acc2[2]) + + sc8[5] * (acc1[3]/16.f + 16.f*acc2[3])) - + dmin * (sumy[0] * sc8[2] + sumy[1] * sc8[3] + sumy[2] * sc8[6] + sumy[3] * sc8[7]); + + q1 += step; + qh += step; + dh += step/2; + a += step/2; + + } + + y1 += 4 * QK_K; + + } +#else + float yl[8], yh[8]; + + const int il = 4 * (tiisg/8); // 0, 4, 8, 12 + const int ix = tiisg%8; + const int im = il/8; // 0, 0, 1, 1 + const int in = il%8; // 0, 4, 0, 4 + + device const float * y = yy + ix*QK_K + il; + + for (int i = ix; i < nb; i += 8) { + + for (int l = 0; l < 4; ++l) { + yl[l+0] = y[l+ 0]; + yl[l+4] = y[l+16]; + yh[l+0] = y[l+32]; + yh[l+4] = y[l+48]; + } + + device const half * dh = &x[i].d; + device const uint8_t * q = x[i].qs + il; + device const uint8_t * h = x[i].qh + in; + device const int8_t * s = x[i].scales; + + for (int row = 0; row < 2; ++row) { + + const float d = dh[0]; + + float2 acc = {0.f, 0.f}; + for (int l = 0; l < 4; ++l) { + const uint8_t hl = h[l] >> im; + acc[0] += yl[l+0] * s[0] * ((int16_t)(q[l+ 0] & 0x0F) - (hl & 0x01 ? 0 : 16)) + + yl[l+4] * s[1] * ((int16_t)(q[l+16] & 0x0F) - (hl & 0x04 ? 0 : 16)); + acc[1] += yh[l+0] * s[2] * ((int16_t)(q[l+ 0] & 0xF0) - (hl & 0x10 ? 0 : 256)) + + yh[l+4] * s[3] * ((int16_t)(q[l+16] & 0xF0) - (hl & 0x40 ? 0 : 256)); + } + sumf[row] += d * (acc[0] + 1.f/16.f * acc[1]); + + q += step; + h += step; + s += step; + dh += step/2; + + } + + y += 8 * QK_K; + } +#endif + + for (int row = 0; row < 2; ++row) { + const float tot = simd_sum(sumf[row]); + if (tiisg == 0) { + dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = tot; + } + } + +} + +kernel void kernel_mul_mv_q6_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0[[buffer(15)]], + constant int64_t & ne1[[buffer(16)]], + constant uint & gqa[[buffer(17)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + const uint8_t kmask1 = 0x03; + const uint8_t kmask2 = 0x0C; + const uint8_t kmask3 = 0x30; + const uint8_t kmask4 = 0xC0; + + const int nb = ne00/QK_K; + + const int64_t r0 = tgpig.x; + const int64_t r1 = tgpig.y; + const int r2 = tgpig.z; + + const int row = 2 * r0 + sgitg; + const uint offset0 = r2/gqa*(nb*ne0); + device const block_q6_K * x = (device const block_q6_K *) src0 + row * nb + offset0; + device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + + float sumf = 0; + +#if QK_K == 256 + const int tid = tiisg/2; + const int ix = tiisg%2; + const int ip = tid/8; // 0 or 1 + const int il = tid%8; + const int n = 4; + const int l0 = n*il; + const int is = 8*ip + l0/16; + + const int y_offset = 128*ip + l0; + const int q_offset_l = 64*ip + l0; + const int q_offset_h = 32*ip + l0; + + for (int i = ix; i < nb; i += 2) { + + device const uint8_t * q1 = x[i].ql + q_offset_l; + device const uint8_t * q2 = q1 + 32; + device const uint8_t * qh = x[i].qh + q_offset_h; + device const int8_t * sc = x[i].scales + is; + + device const float * y = yy + i * QK_K + y_offset; + + const float dall = x[i].d; + + float4 sums = {0.f, 0.f, 0.f, 0.f}; + for (int l = 0; l < n; ++l) { + sums[0] += y[l+ 0] * ((int8_t)((q1[l] & 0xF) | ((qh[l] & kmask1) << 4)) - 32); + sums[1] += y[l+32] * ((int8_t)((q2[l] & 0xF) | ((qh[l] & kmask2) << 2)) - 32); + sums[2] += y[l+64] * ((int8_t)((q1[l] >> 4) | ((qh[l] & kmask3) << 0)) - 32); + sums[3] += y[l+96] * ((int8_t)((q2[l] >> 4) | ((qh[l] & kmask4) >> 2)) - 32); + } + + sumf += dall * (sums[0] * sc[0] + sums[1] * sc[2] + sums[2] * sc[4] + sums[3] * sc[6]); + + } + +#else + const int ix = tiisg/4; + const int il = 4*(tiisg%4); + + for (int i = ix; i < nb; i += 8) { + device const float * y = yy + i * QK_K + il; + device const uint8_t * ql = x[i].ql + il; + device const uint8_t * qh = x[i].qh + il; + device const int8_t * s = x[i].scales; + + const float d = x[i].d; + + float4 sums = {0.f, 0.f, 0.f, 0.f}; + for (int l = 0; l < 4; ++l) { + sums[0] += y[l+ 0] * ((int8_t)((ql[l+ 0] & 0xF) | ((qh[l] & kmask1) << 4)) - 32); + sums[1] += y[l+16] * ((int8_t)((ql[l+16] & 0xF) | ((qh[l] & kmask2) << 2)) - 32); + sums[2] += y[l+32] * ((int8_t)((ql[l+ 0] >> 4) | ((qh[l] & kmask3) >> 0)) - 32); + sums[3] += y[l+48] * ((int8_t)((ql[l+16] >> 4) | ((qh[l] & kmask4) >> 2)) - 32); + } + sumf += d * (sums[0] * s[0] + sums[1] * s[1] + sums[2] * s[2] + sums[3] * s[3]); + } + +#endif + + const float tot = simd_sum(sumf); + if (tiisg == 0) { + dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + } +} + +//============================= templates and their specializations ============================= + +// NOTE: this is not dequantizing - we are simply fitting the template +template +void dequantize_f32(device const float4x4 * src, short il, thread type4x4 & reg) { + float4x4 temp = *(((device float4x4 *)src)); + for (int i = 0; i < 16; i++){ + reg[i/4][i%4] = temp[i/4][i%4]; + } +} + +template +void dequantize_f16(device const half4x4 * src, short il, thread type4x4 & reg) { + half4x4 temp = *(((device half4x4 *)src)); + for (int i = 0; i < 16; i++){ + reg[i/4][i%4] = temp[i/4][i%4]; + } +} + +template +void dequantize_q4_0(device const block_q4_0 *xb, short il, thread type4x4 & reg) { + device const uint16_t * qs = ((device const uint16_t *)xb + 1); + const float d1 = il ? (xb->d / 16.h) : xb->d; + const float d2 = d1 / 256.f; + const float md = -8.h * xb->d; + const ushort mask0 = il ? 0x00F0 : 0x000F; + const ushort mask1 = mask0 << 8; + + for (int i=0;i<8;i++) { + reg[i/2][2*(i%2)+0] = d1 * (qs[i] & mask0) + md; + reg[i/2][2*(i%2)+1] = d2 * (qs[i] & mask1) + md; + } +} + +template +void dequantize_q4_1(device const block_q4_1 *xb, short il, thread type4x4 & reg) { + device const uint16_t * qs = ((device const uint16_t *)xb + 2); + const float d1 = il ? (xb->d / 16.h) : xb->d; + const float d2 = d1 / 256.f; + const float m = xb->m; + const ushort mask0 = il ? 0x00F0 : 0x000F; + const ushort mask1 = mask0 << 8; + + for (int i=0;i<8;i++) { + reg[i/2][2*(i%2)+0] = ((qs[i] & mask0) * d1) + m; + reg[i/2][2*(i%2)+1] = ((qs[i] & mask1) * d2) + m; + } +} + +template +void dequantize_q5_0(device const block_q5_0 *xb, short il, thread type4x4 & reg) { + device const uint16_t * qs = ((device const uint16_t *)xb + 3); + const float d = xb->d; + const float md = -16.h * xb->d; + const ushort mask = il ? 0x00F0 : 0x000F; + + const uint32_t qh = *((device const uint32_t *)xb->qh); + + const int x_mv = il ? 4 : 0; + + const int gh_mv = il ? 12 : 0; + const int gh_bk = il ? 0 : 4; + + for (int i = 0; i < 8; i++) { + // extract the 5-th bits for x0 and x1 + const uint8_t xh_0 = ((qh >> (gh_mv + 2*i )) << gh_bk) & 0x10; + const uint8_t xh_1 = ((qh >> (gh_mv + 2*i+1)) << gh_bk) & 0x10; + + // combine the 4-bits from qs with the 5th bit + const int32_t x0 = ((((qs[i] ) & mask) >> x_mv) | xh_0); + const int32_t x1 = ((((qs[i] >> 8) & mask) >> x_mv) | xh_1); + + reg[i/2][2*(i%2)+0] = d * x0 + md; + reg[i/2][2*(i%2)+1] = d * x1 + md; + } +} + +template +void dequantize_q5_1(device const block_q5_1 *xb, short il, thread type4x4 & reg) { + device const uint16_t * qs = ((device const uint16_t *)xb + 4); + const float d = xb->d; + const float m = xb->m; + const ushort mask = il ? 0x00F0 : 0x000F; + + const uint32_t qh = *((device const uint32_t *)xb->qh); + + const int x_mv = il ? 4 : 0; + + const int gh_mv = il ? 12 : 0; + const int gh_bk = il ? 0 : 4; + + for (int i = 0; i < 8; i++) { + // extract the 5-th bits for x0 and x1 + const uint8_t xh_0 = ((qh >> (gh_mv + 2*i )) << gh_bk) & 0x10; + const uint8_t xh_1 = ((qh >> (gh_mv + 2*i+1)) << gh_bk) & 0x10; + + // combine the 4-bits from qs with the 5th bit + const int32_t x0 = ((((qs[i] ) & mask) >> x_mv) | xh_0); + const int32_t x1 = ((((qs[i] >> 8) & mask) >> x_mv) | xh_1); + + reg[i/2][2*(i%2)+0] = d * x0 + m; + reg[i/2][2*(i%2)+1] = d * x1 + m; + } +} + +template +void dequantize_q8_0(device const block_q8_0 *xb, short il, thread type4x4 & reg) { + device const int8_t * qs = ((device const int8_t *)xb->qs); + const half d = xb->d; + + for (int i=0;i<16;i++) { + reg[i/4][i%4] = (qs[i + 16*il] * d); + } +} + +template +void dequantize_q2_K(device const block_q2_K *xb, short il, thread type4x4 & reg) { + const half d = xb->d; + const half min = xb->dmin; + device const uint8_t * q = (device const uint8_t *)xb->qs; + half dl, ml; + uint8_t sc = xb->scales[il]; + +#if QK_K == 256 + q = q + 32*(il/8) + 16*(il&1); + il = (il/2)%4; +#endif + half coef = il>1 ? (il>2 ? 1/64.h : 1/16.h) : (il>0 ? 1/4.h : 1.h); + uchar mask = il>1 ? (il>2 ? 192 : 48) : (il>0 ? 12 : 3); + dl = d * (sc & 0xF) * coef, ml = min * (sc >> 4); + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = dl * (q[i] & mask) - ml; + } +} + +template +void dequantize_q3_K(device const block_q3_K *xb, short il, thread type4x4 & reg) { + const half d_all = xb->d; + device const uint8_t * q = (device const uint8_t *)xb->qs; + device const uint8_t * h = (device const uint8_t *)xb->hmask; + device const int8_t * scales = (device const int8_t *)xb->scales; + +#if QK_K == 256 + q = q + 32 * (il/8) + 16 * (il&1); + h = h + 16 * (il&1); + uint8_t m = 1 << (il/2); + uint16_t kmask1 = (il/4)>1 ? ((il/4)>2 ? 192 : 48) : \ + ((il/4)>0 ? 12 : 3); + uint16_t kmask2 = il/8 ? 0xF0 : 0x0F; + uint16_t scale_2 = scales[il%8], scale_1 = scales[8 + il%4]; + int16_t dl_int = (il/4)&1 ? (scale_2&kmask2) | ((scale_1&kmask1) << 2) + : (scale_2&kmask2) | ((scale_1&kmask1) << 4); + half dl = il<8 ? d_all * (dl_int - 32.h) : d_all * (dl_int / 16.h - 32.h); + const half ml = 4.h * dl; + + il = (il/2) & 3; + const half coef = il>1 ? (il>2 ? 1/64.h : 1/16.h) : (il>0 ? 1/4.h : 1.h); + const uint8_t mask = il>1 ? (il>2 ? 192 : 48) : (il>0 ? 12 : 3); + dl *= coef; + + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = dl * (q[i] & mask) - (h[i] & m ? 0 : ml); + } +#else + float kcoef = il&1 ? 1.f/16.f : 1.f; + uint16_t kmask = il&1 ? 0xF0 : 0x0F; + float dl = d_all * ((scales[il/2] & kmask) * kcoef - 8); + float coef = il>1 ? (il>2 ? 1/64.h : 1/16.h) : (il>0 ? 1/4.h : 1.h); + uint8_t mask = il>1 ? (il>2 ? 192 : 48) : (il>0 ? 12 : 3); + uint8_t m = 1<<(il*2); + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = coef * dl * ((q[i] & mask) - ((h[i%8] & (m * (1 + i/8))) ? 0 : 4.f/coef)); + } +#endif +} + +static inline uchar2 get_scale_min_k4_just2(int j, int k, device const uchar * q) { + return j < 4 ? uchar2{uchar(q[j+0+k] & 63), uchar(q[j+4+k] & 63)} + : uchar2{uchar((q[j+4+k] & 0xF) | ((q[j-4+k] & 0xc0) >> 2)), uchar((q[j+4+k] >> 4) | ((q[j-0+k] & 0xc0) >> 2))}; +} + +template +void dequantize_q4_K(device const block_q4_K *xb, short il, thread type4x4 & reg) { + device const uchar * q = xb->qs; + +#if QK_K == 256 + short is = (il/4) * 2; + q = q + (il/4) * 32 + 16 * (il&1); + il = il & 3; + const uchar2 sc = get_scale_min_k4_just2(is, il/2, xb->scales); + const half d = il < 2 ? xb->d : xb->d / 16.h; + const half min = xb->dmin; + const half dl = d * sc[0]; + const half ml = min * sc[1]; +#else + q = q + 16 * (il&1); + device const uint8_t * s = xb->scales; + device const half2 * dh = (device const half2 *)xb->d; + const float2 d = (float2)dh[0]; + const float dl = il<2 ? d[0] * (s[0]&0xF) : d[0] * (s[1]&0xF)/16.h; + const float ml = il<2 ? d[1] * (s[0]>>4) : d[1] * (s[1]>>4); +#endif + const ushort mask = il<2 ? 0x0F : 0xF0; + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = dl * (q[i] & mask) - ml; + } +} + +template +void dequantize_q5_K(device const block_q5_K *xb, short il, thread type4x4 & reg) { + device const uint8_t * q = xb->qs; + device const uint8_t * qh = xb->qh; + +#if QK_K == 256 + short is = (il/4) * 2; + q = q + 32 * (il/4) + 16 * (il&1); + qh = qh + 16 * (il&1); + uint8_t ul = 1 << (il/2); + il = il & 3; + const uchar2 sc = get_scale_min_k4_just2(is, il/2, xb->scales); + const half d = il < 2 ? xb->d : xb->d / 16.h; + const half min = xb->dmin; + const half dl = d * sc[0]; + const half ml = min * sc[1]; + + const ushort mask = il<2 ? 0x0F : 0xF0; + const half qh_val = il<2 ? 16.h : 256.h; + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = dl * ((q[i] & mask) + (qh[i] & ul ? qh_val : 0)) - ml; + } +#else + q = q + 16 * (il&1); + device const int8_t * s = xb->scales; + const float dl = xb->d * s[il]; + uint8_t m = 1<<(il*2); + const float coef = il<2 ? 1.f : 1.f/16.f; + const ushort mask = il<2 ? 0x0F : 0xF0; + for (int i = 0; i < 16; ++i) { + reg[i/4][i%4] = coef * dl * ((q[i] & mask) - (qh[i%8] & (m*(1+i/8)) ? 0.f : 16.f/coef)); + } +#endif +} + +template +void dequantize_q6_K(device const block_q6_K *xb, short il, thread type4x4 & reg) { + const half d_all = xb->d; + device const uint8_t * ql = (device const uint8_t *)xb->ql; + device const uint8_t * qh = (device const uint8_t *)xb->qh; + device const int8_t * scales = (device const int8_t *)xb->scales; + +#if QK_K == 256 + ql = ql + 64*(il/8) + 32*((il/2)&1) + 16*(il&1); + qh = qh + 32*(il/8) + 16*(il&1); + half sc = scales[(il%2) + 2 * ((il/2))]; + il = (il/2) & 3; +#else + ql = ql + 16 * (il&1); + half sc = scales[il]; +#endif + const uint16_t kmask1 = il>1 ? (il>2 ? 192 : 48) : (il>0 ? 12 : 3); + const uint16_t kmask2 = il>1 ? 0xF0 : 0x0F; + const half coef = il>1 ? 1.f/16.h : 1.h; + const half ml = d_all * sc * 32.h; + const half dl = d_all * sc * coef; + for (int i = 0; i < 16; ++i) { + const half q = il&1 ? ((ql[i] & kmask2) | ((qh[i] & kmask1) << 2)) + : ((ql[i] & kmask2) | ((qh[i] & kmask1) << 4)); + reg[i/4][i%4] = dl * q - ml; + } +} + +template +kernel void kernel_get_rows( + device const void * src0, + device const int * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb1, + uint tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tptg[[threads_per_threadgroup]]) { + const int i = tgpig; + const int r = ((device int32_t *) src1)[i]; + + for (int ind = tiitg; ind < ne00/16; ind += tptg) { + float4x4 temp; + dequantize_func( + ((device const block_q *) ((device char *) src0 + r*nb01)) + ind/nl, ind%nl, temp); + *(((device float4x4 *) ((device char *) dst + i*nb1)) + ind) = temp; + } +} + +#define BLOCK_SIZE_M 64 // 8 simdgroup matrices from matrix A +#define BLOCK_SIZE_N 32 // 4 simdgroup matrices from matrix B +#define BLOCK_SIZE_K 32 +#define THREAD_MAT_M 4 // each thread take 4 simdgroup matrices from matrix A +#define THREAD_MAT_N 2 // each thread take 2 simdgroup matrices from matrix B +#define THREAD_PER_BLOCK 128 +#define THREAD_PER_ROW 2 // 2 thread for each row in matrix A to load numbers +#define THREAD_PER_COL 4 // 4 thread for each row in matrix B to load numbers +#define SG_MAT_SIZE 64 // simdgroup matrix is of shape 8x8 +#define SG_MAT_ROW 8 + +// each block_q contains 16*nl weights +template +kernel void kernel_mul_mm(device const uchar * src0, + device const uchar * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & gqa, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + threadgroup half * sa = (threadgroup half *)(shared_memory); + threadgroup float * sb = (threadgroup float *)(shared_memory + 4096); + + const uint r0 = tgpig.y; + const uint r1 = tgpig.x; + const uint im = tgpig.z; + + // if this block is of 64x32 shape or smaller + short n_rows = (ne0 - r0 * BLOCK_SIZE_M < BLOCK_SIZE_M) ? (ne0 - r0 * BLOCK_SIZE_M) : BLOCK_SIZE_M; + short n_cols = (ne1 - r1 * BLOCK_SIZE_N < BLOCK_SIZE_N) ? (ne1 - r1 * BLOCK_SIZE_N) : BLOCK_SIZE_N; + + // a thread shouldn't load data outside of the matrix + short thread_row = ((short)tiitg/THREAD_PER_ROW) < n_rows ? ((short)tiitg/THREAD_PER_ROW) : n_rows - 1; + short thread_col = ((short)tiitg/THREAD_PER_COL) < n_cols ? ((short)tiitg/THREAD_PER_COL) : n_cols - 1; + + simdgroup_half8x8 ma[4]; + simdgroup_float8x8 mb[2]; + simdgroup_float8x8 c_res[8]; + for (int i = 0; i < 8; i++){ + c_res[i] = make_filled_simdgroup_matrix(0.f); + } + + short il = (tiitg % THREAD_PER_ROW); + + uint offset0 = im/gqa*nb02; + ushort offset1 = il/nl; + + device const block_q * x = (device const block_q *)(src0 + (r0 * BLOCK_SIZE_M + thread_row) * nb01 + offset0) + offset1; + device const float * y = (device const float *)(src1 + + nb12 * im + + nb11 * (r1 * BLOCK_SIZE_N + thread_col) + + nb10 * (BLOCK_SIZE_K / THREAD_PER_COL * (tiitg % THREAD_PER_COL))); + + for (int loop_k = 0; loop_k < ne00; loop_k += BLOCK_SIZE_K) { + // load data and store to threadgroup memory + half4x4 temp_a; + dequantize_func(x, il, temp_a); + threadgroup_barrier(mem_flags::mem_threadgroup); + + #pragma unroll(16) + for (int i = 0; i < 16; i++) { + *(sa + SG_MAT_SIZE * ((tiitg / THREAD_PER_ROW / 8) \ + + (tiitg % THREAD_PER_ROW) * 16 + (i / 8) * 8) \ + + (tiitg / THREAD_PER_ROW) % 8 + (i & 7) * 8) = temp_a[i/4][i%4]; + } + + *(threadgroup float2x4 *)(sb + (tiitg % THREAD_PER_COL) * 8 * 32 + 8 * (tiitg / THREAD_PER_COL)) = *((device float2x4 *)y); + + il = (il + 2 < nl) ? il + 2 : il % 2; + x = (il < 2) ? x + (2+nl-1)/nl : x; + y += BLOCK_SIZE_K; + + threadgroup_barrier(mem_flags::mem_threadgroup); + + // load matrices from threadgroup memory and conduct outer products + threadgroup half * lsma = (sa + THREAD_MAT_M * SG_MAT_SIZE * (sgitg % 2)); + threadgroup float * lsmb = (sb + THREAD_MAT_N * SG_MAT_SIZE * (sgitg / 2)); + + #pragma unroll(4) + for (int ik = 0; ik < BLOCK_SIZE_K / 8; ik++) { + #pragma unroll(4) + for (int i = 0; i < 4; i++) { + simdgroup_load(ma[i],lsma + SG_MAT_SIZE * i); + } + simdgroup_barrier(mem_flags::mem_none); + #pragma unroll(2) + for (int i = 0; i < 2; i++) { + simdgroup_load(mb[i],lsmb + SG_MAT_SIZE * i); + } + + lsma += BLOCK_SIZE_M / SG_MAT_ROW * SG_MAT_SIZE; + lsmb += BLOCK_SIZE_N / SG_MAT_ROW * SG_MAT_SIZE; + + #pragma unroll(8) + for (int i = 0; i < 8; i++){ + simdgroup_multiply_accumulate(c_res[i], mb[i/4], ma[i%4], c_res[i]); + } + } + } + + if ((r0 + 1) * BLOCK_SIZE_M <= ne0 && (r1 + 1) * BLOCK_SIZE_N <= ne1) { + device float * C = dst + (BLOCK_SIZE_M * r0 + 32 * (sgitg & 1)) \ + + (BLOCK_SIZE_N * r1 + 16 * (sgitg >> 1)) * ne0 + im*ne1*ne0; + for (int i = 0; i < 8; i++) { + simdgroup_store(c_res[i], C + 8 * (i%4) + 8 * ne0 * (i/4), ne0); + } + } else { + // block is smaller than 64x32, we should avoid writing data outside of the matrix + threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup float * temp_str = ((threadgroup float *)shared_memory) \ + + 32 * (sgitg&1) + (16 * (sgitg>>1)) * BLOCK_SIZE_M; + for (int i = 0; i < 8; i++) { + simdgroup_store(c_res[i], temp_str + 8 * (i%4) + 8 * BLOCK_SIZE_M * (i/4), BLOCK_SIZE_M); + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + device float * C = dst + (BLOCK_SIZE_M * r0) + (BLOCK_SIZE_N * r1) * ne0 + im*ne1*ne0; + if (sgitg == 0) { + for (int i = 0; i < n_rows; i++) { + for (int j = tiitg; j < n_cols; j += BLOCK_SIZE_N) { + *(C + i + j * ne0) = *(temp_str + i + j * BLOCK_SIZE_M); + } + } + } + } +} + +#if QK_K == 256 +#define QK_NL 16 +#else +#define QK_NL 4 +#endif + +typedef void (get_rows_t)(device const void *, device const int *, device float *, constant int64_t &, \ + constant uint64_t &, constant uint64_t &, uint, uint, uint); + +template [[host_name("kernel_get_rows_f32")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_f16")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q4_0")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q4_1")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q5_0")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q5_1")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q8_0")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q2_K")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q3_K")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q4_K")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q5_K")]] kernel get_rows_t kernel_get_rows; +template [[host_name("kernel_get_rows_q6_K")]] kernel get_rows_t kernel_get_rows; + +typedef void (mat_mm_t)( + device const uchar * src0, + device const uchar * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & gqa, + threadgroup uchar *, uint3, uint, uint); + +template [[host_name("kernel_mul_mm_f32_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_f16_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q4_0_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q4_1_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q5_0_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q5_1_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q8_0_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q2_K_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q3_K_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q4_K_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q5_K_f32")]] kernel mat_mm_t kernel_mul_mm; +template [[host_name("kernel_mul_mm_q6_K_f32")]] kernel mat_mm_t kernel_mul_mm; diff --git a/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal.meta b/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal.meta new file mode 100644 index 0000000..5f2de16 --- /dev/null +++ b/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal.meta @@ -0,0 +1,7 @@ +fileFormatVersion: 2 +guid: 1435d0711ebd6428e9253278014d356c +DefaultImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Packages/com.whisper.unity/Plugins/MacOS/libwhisper.dylib.meta b/Packages/com.whisper.unity/Plugins/MacOS/libwhisper.dylib.meta index 2595ffc..bf0f6f7 100644 --- a/Packages/com.whisper.unity/Plugins/MacOS/libwhisper.dylib.meta +++ b/Packages/com.whisper.unity/Plugins/MacOS/libwhisper.dylib.meta @@ -6,7 +6,7 @@ PluginImporter: iconMap: {} executionOrder: {} defineConstraints: [] - isPreloaded: 1 + isPreloaded: 0 isOverridable: 0 isExplicitlyReferenced: 0 validateReferences: 1 diff --git a/Packages/com.whisper.unity/Plugins/MacOS/libwhisper_metal.dylib b/Packages/com.whisper.unity/Plugins/MacOS/libwhisper_metal.dylib 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platformData: + - first: + : Any + second: + enabled: 0 + settings: + Exclude Android: 1 + Exclude Editor: 0 + Exclude Linux64: 1 + Exclude OSXUniversal: 0 + Exclude WebGL: 1 + Exclude Win: 1 + Exclude Win64: 1 + Exclude iOS: 1 + - first: + Android: Android + second: + enabled: 0 + settings: + CPU: ARMv7 + - first: + Any: + second: + enabled: 0 + settings: {} + - first: + Editor: Editor + second: + enabled: 1 + settings: + CPU: AnyCPU + DefaultValueInitialized: true + OS: OSX + - first: + Standalone: Linux64 + second: + enabled: 0 + settings: + CPU: x86_64 + - first: + Standalone: OSXUniversal + second: + enabled: 1 + settings: + CPU: AnyCPU + - first: + Standalone: Win + second: + enabled: 0 + settings: + CPU: x86 + - first: + Standalone: Win64 + second: + enabled: 0 + settings: + CPU: x86_64 + - first: + iPhone: iOS + second: + enabled: 0 + settings: + AddToEmbeddedBinaries: false + CPU: AnyCPU + CompileFlags: + FrameworkDependencies: + userData: + assetBundleName: + assetBundleVariant: diff --git a/Packages/com.whisper.unity/Runtime/Native/WhisperNative.cs b/Packages/com.whisper.unity/Runtime/Native/WhisperNative.cs index 5cd544a..84a214e 100644 --- a/Packages/com.whisper.unity/Runtime/Native/WhisperNative.cs +++ b/Packages/com.whisper.unity/Runtime/Native/WhisperNative.cs @@ -1,7 +1,6 @@ using System; using System.Runtime.InteropServices; // ReSharper disable InconsistentNaming - using whisper_context_ptr = System.IntPtr; using whisper_token = System.Int32; @@ -12,38 +11,57 @@ namespace Whisper.Native /// public static unsafe class WhisperNative { - #if (UNITY_IOS || UNITY_ANDROID) && !UNITY_EDITOR - private const string LibraryName = "__Internal"; -#elif WHISPER_CUDA - -#if (UNITY_EDITOR && (UNITY_EDITOR_WIN || UNITY_EDITOR_LINUX)) + private const string LibraryName = "__Internal"; + +#elif WHISPER_CUDA +#if UNITY_EDITOR && (UNITY_EDITOR_WIN || UNITY_EDITOR_LINUX) private const string LibraryName = "libwhisper_cuda"; -#elif (!UNITY_EDITOR && (UNITY_STANDALONE_WIN || UNITY_STANDALONE_LINUX)) +#elif !UNITY_EDITOR && (UNITY_STANDALONE_WIN || UNITY_STANDALONE_LINUX) private const string LibraryName = "libwhisper_cuda"; #else private const string LibraryName = "libwhisper"; #endif +#elif WHISPER_METAL + +#if UNITY_EDITOR && UNITY_EDITOR_OSX + private const string LibraryName = "libwhisper_metal"; +#elif !UNITY_EDITOR && UNITY_STANDALONE_OSX + private const string LibraryName = "libwhisper_metal"; +#else + private const string LibraryName = "libwhisper"; +#endif + #else private const string LibraryName = "libwhisper"; #endif + static WhisperNative() + { +#if !UNITY_EDITOR && UNITY_STANDALONE_OSX + var path = System.IO.Path.Combine(UnityEngine.Application.dataPath, "Plugins"); + Environment.SetEnvironmentVariable("GGML_METAL_PATH_RESOURCES",path); +#endif + } + [DllImport(LibraryName)] - public static extern whisper_context_ptr whisper_init_from_file_with_params(string path_model, WhisperNativeContextParams @params); + public static extern whisper_context_ptr whisper_init_from_file_with_params(string path_model, + WhisperNativeContextParams @params); [DllImport(LibraryName)] - public static extern whisper_context_ptr whisper_init_from_buffer_with_params(IntPtr buffer, UIntPtr buffer_size, WhisperNativeContextParams @params); - + public static extern whisper_context_ptr whisper_init_from_buffer_with_params(IntPtr buffer, + UIntPtr buffer_size, WhisperNativeContextParams @params); + [DllImport(LibraryName)] public static extern int whisper_lang_max_id(); - + [DllImport(LibraryName)] public static extern int whisper_lang_id(string lang); [DllImport(LibraryName)] public static extern IntPtr whisper_lang_str(int id); - + [DllImport(LibraryName)] public static extern whisper_token whisper_token_eot(whisper_context_ptr ctx); @@ -57,38 +75,38 @@ public static unsafe class WhisperNative public static extern WhisperNativeContextParams whisper_context_default_params(); [DllImport(LibraryName)] - public static extern int whisper_full(whisper_context_ptr ctx, WhisperNativeParams param, + public static extern int whisper_full(whisper_context_ptr ctx, WhisperNativeParams param, float* samples, int n_samples); - + [DllImport(LibraryName)] public static extern int whisper_full_n_segments(whisper_context_ptr ctx); - + [DllImport(LibraryName)] public static extern int whisper_full_lang_id(whisper_context_ptr ctx); - + [DllImport(LibraryName)] public static extern int whisper_is_multilingual(whisper_context_ptr ctx); - + [DllImport(LibraryName)] public static extern ulong whisper_full_get_segment_t0(whisper_context_ptr ctx, int i_segment); - + [DllImport(LibraryName)] public static extern ulong whisper_full_get_segment_t1(whisper_context_ptr ctx, int i_segment); - + [DllImport(LibraryName)] public static extern IntPtr whisper_full_get_segment_text(whisper_context_ptr ctx, int i_segment); - + [DllImport(LibraryName)] public static extern int whisper_full_n_tokens(whisper_context_ptr ctx, int i_segment); - + [DllImport(LibraryName)] public static extern IntPtr whisper_full_get_token_text(whisper_context_ptr ctx, int i_segment, int i_token); - + [DllImport(LibraryName)] - public static extern WhisperNativeTokenData whisper_full_get_token_data(whisper_context_ptr ctx, int i_segment, int i_token); - + public static extern WhisperNativeTokenData whisper_full_get_token_data(whisper_context_ptr ctx, int i_segment, + int i_token); + [DllImport(LibraryName)] public static extern void whisper_free(whisper_context_ptr ctx); } -} - +} \ No newline at end of file diff --git a/build_cpp.sh b/build_cpp.sh index 20b70de..da7cf0f 100644 --- a/build_cpp.sh +++ b/build_cpp.sh @@ -30,6 +30,28 @@ build_mac() { echo "Build files copied to $target_path" } +build_mac_metal() { + clean_build + echo "Starting building for Mac (Metal)..." + + cmake -DCMAKE_OSX_ARCHITECTURES="x86_64;arm64" -DWHISPER_METAL=ON \ + -DWHISPER_NO_AVX=ON -DWHISPER_NO_AVX2=ON -DWHISPER_NO_FMA=ON -DWHISPER_NO_F16C=ON \ + -DWHISPER_BUILD_TESTS=OFF -DWHISPER_BUILD_EXAMPLES=OFF ../ + make + + echo "Build for Mac (Metal) complete!" + + artifact_path="$build_path/libwhisper.dylib" + target_path="$unity_project/Packages/com.whisper.unity/Plugins/MacOS/libwhisper_metal.dylib" + cp "$artifact_path" "$target_path" + + artifact_path="$build_path/bin/ggml-metal.metal" + target_path="$unity_project/Packages/com.whisper.unity/Plugins/MacOS/ggml-metal.metal" + cp "$artifact_path" "$target_path" + + echo "Build files copied to $target_path" +} + build_ios() { clean_build echo "Starting building for ios..." @@ -72,6 +94,8 @@ if [ "$targets" = "all" ]; then build_android elif [ "$targets" = "mac" ]; then build_mac +elif [ "$targets" = "mac_metal" ]; then + build_mac_metal elif [ "$targets" = "ios" ]; then build_ios elif [ "$targets" = "android" ]; then