From 439d14a061bb0ac7d48f99bc49a64708629aa18d Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Wed, 13 Dec 2023 16:51:18 +0000 Subject: [PATCH 1/9] Updated binaries: - build run: https://github.com/SciSharp/LLamaSharp/actions/runs/7196891440 - commit: https://github.com/ggerganov/llama.cpp/blob/9fb13f95840c722ad419f390dc8a9c86080a3700 --- LLama.Web/Common/ModelOptions.cs | 106 +- LLama/Abstractions/IContextParams.cs | 40 +- LLama/Common/ModelParams.cs | 14 +- LLama/Extensions/IContextParamsExtensions.cs | 6 +- LLama/Native/GGMLType.cs | 30 + LLama/Native/LLamaContextParams.cs | 46 +- LLama/Native/LLamaKvCacheView.cs | 97 + LLama/Native/LLamaModelKvOverride.cs | 61 + LLama/Native/LLamaModelParams.cs | 5 + LLama/runtimes/deps/avx/libllama.dll | Bin 958976 -> 983040 bytes LLama/runtimes/deps/avx/libllama.so | Bin 987312 -> 1053416 bytes LLama/runtimes/deps/avx2/libllama.dll | Bin 942592 -> 966144 bytes LLama/runtimes/deps/avx2/libllama.so | Bin 987312 -> 1057512 bytes LLama/runtimes/deps/avx512/libllama.dll | Bin 942592 -> 965632 bytes LLama/runtimes/deps/avx512/libllama.so | Bin 1024176 -> 1094376 bytes LLama/runtimes/deps/cu11.7.1/libllama.dll | Bin 3484672 -> 4242432 bytes LLama/runtimes/deps/cu11.7.1/libllama.so | Bin 3579392 -> 4400744 bytes LLama/runtimes/deps/cu12.1.0/libllama.dll | Bin 3449344 -> 4207104 bytes LLama/runtimes/deps/cu12.1.0/libllama.so | Bin 3546624 -> 4368008 bytes LLama/runtimes/deps/libllama.dll | Bin 953856 -> 977408 bytes LLama/runtimes/deps/libllama.so | Bin 987312 -> 1053416 bytes .../runtimes/deps/osx-arm64/ggml-metal.metal | 2541 ++++++++++++++--- LLama/runtimes/deps/osx-arm64/libllama.dylib | Bin 838219 -> 954587 bytes LLama/runtimes/deps/osx-x64/libllama.dylib | Bin 909792 -> 1021304 bytes 24 files changed, 2429 insertions(+), 517 deletions(-) create mode 100644 LLama/Native/GGMLType.cs create mode 100644 LLama/Native/LLamaKvCacheView.cs create mode 100644 LLama/Native/LLamaModelKvOverride.cs diff --git a/LLama.Web/Common/ModelOptions.cs b/LLama.Web/Common/ModelOptions.cs index da840fe9d..0ae41ded3 100644 --- a/LLama.Web/Common/ModelOptions.cs +++ b/LLama.Web/Common/ModelOptions.cs @@ -17,106 +17,52 @@ public class ModelOptions /// public int MaxInstances { get; set; } - /// - /// Model context size (n_ctx) - /// + /// public uint? ContextSize { get; set; } - /// - /// the GPU that is used for scratch and small tensors - /// + /// public int MainGpu { get; set; } = 0; - /// - /// if true, reduce VRAM usage at the cost of performance - /// - public bool LowVram { get; set; } = false; - - /// - /// Number of layers to run in VRAM / GPU memory (n_gpu_layers) - /// + /// public int GpuLayerCount { get; set; } = 20; - /// - /// Seed for the random number generator (seed) - /// + /// public uint Seed { get; set; } = 1686349486; - /// - /// Use f16 instead of f32 for memory kv (memory_f16) - /// - public bool UseFp16Memory { get; set; } = true; - - /// - /// Use mmap for faster loads (use_mmap) - /// + /// public bool UseMemorymap { get; set; } = true; - /// - /// Use mlock to keep model in memory (use_mlock) - /// + /// public bool UseMemoryLock { get; set; } = false; - /// - /// Compute perplexity over the prompt (perplexity) - /// - public bool Perplexity { get; set; } = false; - - /// - /// Model path (model) - /// + /// public string ModelPath { get; set; } - /// - /// List of LoRAs to apply - /// + /// public AdapterCollection LoraAdapters { get; set; } = new(); - /// - - /// base model path for the lora adapter (lora_base) - /// + /// public string LoraBase { get; set; } = string.Empty; - /// - /// Number of threads (null = autodetect) (n_threads) - /// + /// public uint? Threads { get; set; } - /// - /// Number of threads to use for batch processing (null = autodetect) (n_threads) - /// + /// public uint? BatchThreads { get; set; } - /// - /// batch size for prompt processing (must be >=32 to use BLAS) (n_batch) - /// + /// public uint BatchSize { get; set; } = 512; - /// - /// Whether to convert eos to newline during the inference. - /// - public bool ConvertEosToNewLine { get; set; } = false; - - /// - /// Whether to use embedding mode. (embedding) Note that if this is set to true, - /// The LLamaModel won't produce text response anymore. - /// + /// public bool EmbeddingMode { get; set; } = false; - /// - /// how split tensors should be distributed across GPUs - /// + /// public TensorSplitsCollection TensorSplits { get; set; } = new(); - /// - /// RoPE base frequency - /// + /// public float? RopeFrequencyBase { get; set; } - /// - /// RoPE frequency scaling factor - /// + /// public float? RopeFrequencyScale { get; set; } /// @@ -137,19 +83,19 @@ public class ModelOptions /// public RopeScalingType? YarnScalingType { get; set; } - /// - /// Use experimental mul_mat_q kernels - /// - public bool MulMatQ { get; set; } + /// + public GGMLType? TypeK { get; set; } - /// - /// The encoding to use for models - /// + /// + public GGMLType? TypeV { get; set; } + + /// + public bool NoKqvOffload { get; set; } + + /// public Encoding Encoding { get; set; } = Encoding.UTF8; - /// - /// Load vocab only (no weights) - /// + /// public bool VocabOnly { get; set; } } } \ No newline at end of file diff --git a/LLama/Abstractions/IContextParams.cs b/LLama/Abstractions/IContextParams.cs index da7498524..d09a6a7c6 100644 --- a/LLama/Abstractions/IContextParams.cs +++ b/LLama/Abstractions/IContextParams.cs @@ -23,16 +23,6 @@ public interface IContextParams /// uint Seed { get; set; } - /// - /// Use f16 instead of f32 for memory kv (memory_f16) - /// - bool UseFp16Memory { get; set; } - - /// - /// Compute perplexity over the prompt (perplexity) - /// - bool Perplexity { get; set; } - /// /// Whether to use embedding mode. (embedding) Note that if this is set to true, /// The LLamaModel won't produce text response anymore. @@ -49,11 +39,6 @@ public interface IContextParams /// float? RopeFrequencyScale { get; set; } - /// - /// Use experimental mul_mat_q kernels - /// - bool MulMatQ { get; set; } - /// /// The encoding to use for models /// @@ -70,27 +55,27 @@ public interface IContextParams uint? BatchThreads { get; set; } /// - /// YaRN extrapolation mix factor + /// YaRN extrapolation mix factor (null = from model) /// float? YarnExtrapolationFactor { get; set; } /// - /// YaRN magnitude scaling factor + /// YaRN magnitude scaling factor (null = from model) /// float? YarnAttentionFactor { get; set; } /// - /// YaRN low correction dim + /// YaRN low correction dim (null = from model) /// float? YarnBetaFast { get; set; } /// - /// YaRN high correction dim + /// YaRN high correction dim (null = from model) /// float? YarnBetaSlow { get; set; } /// - /// YaRN original context length + /// YaRN original context length (null = from model) /// uint? YarnOriginalContext { get; set; } @@ -98,4 +83,19 @@ public interface IContextParams /// YaRN scaling method to use. /// RopeScalingType? YarnScalingType { get; set; } + + /// + /// Override the type of the K cache + /// + GGMLType? TypeK { get; set; } + + /// + /// Override the type of the V cache + /// + GGMLType? TypeV { get; set; } + + /// + /// Whether to disable offloading the KQV cache to the GPU + /// + bool NoKqvOffload { get; set; } } \ No newline at end of file diff --git a/LLama/Common/ModelParams.cs b/LLama/Common/ModelParams.cs index cecd655a1..f73005365 100644 --- a/LLama/Common/ModelParams.cs +++ b/LLama/Common/ModelParams.cs @@ -25,18 +25,12 @@ public record ModelParams /// public uint Seed { get; set; } = 0xFFFFFFFF; - /// - public bool UseFp16Memory { get; set; } = true; - /// public bool UseMemorymap { get; set; } = true; /// public bool UseMemoryLock { get; set; } - /// - public bool Perplexity { get; set; } - /// public string ModelPath { get; set; } @@ -86,7 +80,13 @@ public record ModelParams public RopeScalingType? YarnScalingType { get; set; } /// - public bool MulMatQ { get; set; } + public GGMLType? TypeK { get; set; } + + /// + public GGMLType? TypeV { get; set; } + + /// + public bool NoKqvOffload { get; set; } /// public bool VocabOnly { get; set; } diff --git a/LLama/Extensions/IContextParamsExtensions.cs b/LLama/Extensions/IContextParamsExtensions.cs index bb029c162..212736170 100644 --- a/LLama/Extensions/IContextParamsExtensions.cs +++ b/LLama/Extensions/IContextParamsExtensions.cs @@ -24,8 +24,6 @@ public static void ToLlamaContextParams(this IContextParams @params, out LLamaCo result.n_ctx = @params.ContextSize ?? 0; result.n_batch = @params.BatchSize; result.seed = @params.Seed; - result.f16_kv = @params.UseFp16Memory; - result.logits_all = @params.Perplexity; result.embedding = @params.EmbeddingMode; result.rope_freq_base = @params.RopeFrequencyBase ?? 0; result.rope_freq_scale = @params.RopeFrequencyScale ?? 0; @@ -38,7 +36,9 @@ public static void ToLlamaContextParams(this IContextParams @params, out LLamaCo result.yarn_orig_ctx = @params.YarnOriginalContext ?? 0; result.rope_scaling_type = @params.YarnScalingType ?? RopeScalingType.LLAMA_ROPE_SCALING_UNSPECIFIED; - result.mul_mat_q = @params.MulMatQ; + result.type_k = @params.TypeK ?? GGMLType.GGML_TYPE_F16; + result.type_k = @params.TypeV ?? GGMLType.GGML_TYPE_F16; + result.offload_kqv = !@params.NoKqvOffload; result.n_threads = Threads(@params.Threads); result.n_threads_batch = Threads(@params.BatchThreads); diff --git a/LLama/Native/GGMLType.cs b/LLama/Native/GGMLType.cs new file mode 100644 index 000000000..ec29fc8d6 --- /dev/null +++ b/LLama/Native/GGMLType.cs @@ -0,0 +1,30 @@ +namespace LLama.Native; + +public enum GGMLType +{ + GGML_TYPE_F32 = 0, + GGML_TYPE_F16 = 1, + GGML_TYPE_Q4_0 = 2, + GGML_TYPE_Q4_1 = 3, + + // GGML_TYPE_Q4_2 = 4, support has been removed + // GGML_TYPE_Q4_3 (5) support has been removed + + GGML_TYPE_Q5_0 = 6, + GGML_TYPE_Q5_1 = 7, + GGML_TYPE_Q8_0 = 8, + GGML_TYPE_Q8_1 = 9, + + // k-quantizations + GGML_TYPE_Q2_K = 10, + GGML_TYPE_Q3_K = 11, + GGML_TYPE_Q4_K = 12, + GGML_TYPE_Q5_K = 13, + GGML_TYPE_Q6_K = 14, + GGML_TYPE_Q8_K = 15, + GGML_TYPE_I8 = 16, + GGML_TYPE_I16 = 17, + GGML_TYPE_I32 = 18, + + GGML_TYPE_COUNT, +} \ No newline at end of file diff --git a/LLama/Native/LLamaContextParams.cs b/LLama/Native/LLamaContextParams.cs index c0f2afa29..bfd39ea46 100644 --- a/LLama/Native/LLamaContextParams.cs +++ b/LLama/Native/LLamaContextParams.cs @@ -56,7 +56,7 @@ public struct LLamaContextParams /// public float rope_freq_scale; /// - /// YaRN extrapolation mix factor, NaN = from model + /// YaRN extrapolation mix factor, negative = from model /// public float yarn_ext_factor; /// @@ -75,36 +75,26 @@ public struct LLamaContextParams /// /// YaRN original context size /// - public uint yarn_orig_ctx; - + public uint yarn_orig_ctx; + /// - /// if true, use experimental mul_mat_q kernels + /// data type for K cache /// - public bool mul_mat_q - { - readonly get => Convert.ToBoolean(_mul_mat_q); - set => _mul_mat_q = Convert.ToSByte(value); - } - private sbyte _mul_mat_q; + public GGMLType type_k; /// - /// use fp16 for KV cache + /// data type for V cache /// - public bool f16_kv - { - readonly get => Convert.ToBoolean(_f16_kv); - set => _f16_kv = Convert.ToSByte(value); - } - private sbyte _f16_kv; + public GGMLType type_v; /// - /// the llama_eval() call computes all logits, not just the last one + /// Deprecated! + /// + private sbyte _mul_mat_q; + + /// + /// Deprecated! /// - public bool logits_all - { - readonly get => Convert.ToBoolean(_logits_all); - set => _logits_all = Convert.ToSByte(value); - } private sbyte _logits_all; /// @@ -116,6 +106,16 @@ public bool embedding set => _embedding = Convert.ToSByte(value); } private sbyte _embedding; + + /// + /// whether to offload the KQV ops (including the KV cache) to GPU + /// + public bool offload_kqv + { + readonly get => Convert.ToBoolean(_offload_kqv); + set => _offload_kqv = Convert.ToSByte(value); + } + private sbyte _offload_kqv; } } diff --git a/LLama/Native/LLamaKvCacheView.cs b/LLama/Native/LLamaKvCacheView.cs new file mode 100644 index 000000000..395d447c0 --- /dev/null +++ b/LLama/Native/LLamaKvCacheView.cs @@ -0,0 +1,97 @@ +using System.Runtime.InteropServices; + +namespace LLama.Native; + +/// +/// Information associated with an individual cell in the KV cache view (llama_kv_cache_view_cell) +/// +[StructLayout(LayoutKind.Sequential)] +public struct LLamaKvCacheViewCell +{ + /// + /// The position for this cell. Takes KV cache shifts into account. + /// May be negative if the cell is not populated. + /// + public LLamaPos pos; +}; + +/// +/// An updateable view of the KV cache (llama_kv_cache_view) +/// +//todo: rewrite to safe handle? +[StructLayout(LayoutKind.Sequential)] +public unsafe struct LLamaKvCacheView +{ + // Number of KV cache cells. This will be the same as the context size. + int n_cells; + + // Maximum number of sequences that can exist in a cell. It's not an error + // if there are more sequences in a cell than this value, however they will + // not be visible in the view cells_sequences. + int n_max_seq; + + // Number of tokens in the cache. For example, if there are two populated + // cells, the first with 1 sequence id in it and the second with 2 sequence + // ids then you'll have 3 tokens. + int token_count; + + // Number of populated cache cells. + int used_cells; + + // Maximum contiguous empty slots in the cache. + int max_contiguous; + + // Index to the start of the max_contiguous slot range. Can be negative + // when cache is full. + int max_contiguous_idx; + + // Information for an individual cell. + LLamaKvCacheViewCell* cells; + + // The sequences for each cell. There will be n_max_seq items per cell. + LLamaSeqId* cells_sequences; +} + +partial class NativeApi +{ + /// + /// Create an empty KV cache view. (use only for debugging purposes) + /// + /// + /// + /// + [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] + public static extern LLamaKvCacheView llama_kv_cache_view_init(SafeLLamaContextHandle ctx, int n_max_seq); + + /// + /// Free a KV cache view. (use only for debugging purposes) + /// + /// + [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] + public static extern unsafe void llama_kv_cache_view_free(LLamaKvCacheView* view); + + /// + /// Update the KV cache view structure with the current state of the KV cache. (use only for debugging purposes) + /// + /// + /// + [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] + public static extern unsafe void llama_kv_cache_view_update(SafeLLamaContextHandle ctx, LLamaKvCacheView* view); + + /// + /// Returns the number of tokens in the KV cache (slow, use only for debug) + /// If a KV cell has multiple sequences assigned to it, it will be counted multiple times + /// + /// + /// + [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] + public static extern int llama_get_kv_cache_token_count(SafeLLamaContextHandle ctx); + + /// + /// Returns the number of used KV cells (i.e. have at least one sequence assigned to them) + /// + /// + /// + [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] + public static extern int llama_get_kv_cache_used_cells(SafeLLamaContextHandle ctx); +} \ No newline at end of file diff --git a/LLama/Native/LLamaModelKvOverride.cs b/LLama/Native/LLamaModelKvOverride.cs new file mode 100644 index 000000000..b5083ef5e --- /dev/null +++ b/LLama/Native/LLamaModelKvOverride.cs @@ -0,0 +1,61 @@ +using System.Runtime.InteropServices; + +namespace LLama.Native; + +/// +/// Override a key/value pair in the llama model metadata +/// +[StructLayout(LayoutKind.Explicit)] +public unsafe struct LLamaModelKvOverride +{ + /// + /// Key to override + /// + [FieldOffset(0)] + public fixed char key[128]; + + /// + /// Type of value + /// + [FieldOffset(128)] + public LLamaModelKvOverrideType Tag; + + /// + /// Value, **must** only be used if Tag == LLAMA_KV_OVERRIDE_INT + /// + [FieldOffset(132)] + public long IntValue; + + /// + /// Value, **must** only be used if Tag == LLAMA_KV_OVERRIDE_FLOAT + /// + [FieldOffset(132)] + public double FloatValue; + + /// + /// Value, **must** only be used if Tag == LLAMA_KV_OVERRIDE_BOOL + /// + [FieldOffset(132)] + public int BoolValue; +} + +/// +/// Specifies what type of value is being overridden by LLamaModelKvOverride +/// +public enum LLamaModelKvOverrideType +{ + /// + /// Overriding an int value + /// + LLAMA_KV_OVERRIDE_INT = 0, + + /// + /// Overriding a float value + /// + LLAMA_KV_OVERRIDE_FLOAT = 1, + + /// + /// Overriding a bool value + /// + LLAMA_KV_OVERRIDE_BOOL = 2, +} \ No newline at end of file diff --git a/LLama/Native/LLamaModelParams.cs b/LLama/Native/LLamaModelParams.cs index a0d307750..d3a3c9680 100644 --- a/LLama/Native/LLamaModelParams.cs +++ b/LLama/Native/LLamaModelParams.cs @@ -34,6 +34,11 @@ public unsafe struct LLamaModelParams /// public void* progress_callback_user_data; + /// + /// override key-value pairs of the model meta data + /// + public LLamaModelKvOverride* kv_overrides; + /// /// only load the vocabulary, no weights /// diff --git a/LLama/runtimes/deps/avx/libllama.dll b/LLama/runtimes/deps/avx/libllama.dll index 55d5748430504f291732bd092b6fe22d9e25f45e..954bb194eaa8e954db9ff54ca2e3cde77184deb4 100644 GIT binary patch literal 983040 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(x) : (y)) +#define MIN(x, y) ((x) < (y) ? (x) : (y)) +#define SWAP(x, y) { auto tmp = (x); (x) = (y); (y) = tmp; } #define QK4_0 32 #define QR4_0 2 @@ -39,8 +41,15 @@ typedef struct { 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 +#define N_SIMDWIDTH 32 // assuming SIMD group size is 32 + +enum ggml_sort_order { + GGML_SORT_ASC, + GGML_SORT_DESC, +}; + +// general-purpose kernel for addition, multiplication and division of two tensors +// pros: works for non-contiguous tensors, supports broadcast across all dims // cons: not very efficient kernel void kernel_add( device const char * src0, @@ -81,16 +90,111 @@ kernel void kernel_add( 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; + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1; + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) + *((device float *)(src1_ptr + i10*nb10)); + } +} + +kernel void kernel_mul( + 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; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1; 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]; + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) * *((device float *)(src1_ptr + i10*nb10)); + } +} + +kernel void kernel_div( + 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; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1; - src0_ptr += ntg.x*nb00; - src1_ptr += ntg.x*nb10; - dst_ptr += ntg.x*nb0; + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) / *((device float *)(src1_ptr + i10*nb10)); } } @@ -105,23 +209,22 @@ kernel void kernel_add_row( dst[tpig] = src0[tpig] + src1[tpig % nb]; } -kernel void kernel_mul( +kernel void kernel_mul_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]; + dst[tpig] = src0[tpig] * src1[tpig % nb]; } -// assumption: src1 is a row -// broadcast src1 into src0 -kernel void kernel_mul_row( +kernel void kernel_div_row( device const float4 * src0, device const float4 * src1, device float4 * dst, - constant int64_t & nb, + constant int64_t & nb [[buffer(27)]], uint tpig[[thread_position_in_grid]]) { - dst[tpig] = src0[tpig] * src1[tpig % nb]; + dst[tpig] = src0[tpig] / src1[tpig % nb]; } kernel void kernel_scale( @@ -162,6 +265,54 @@ kernel void kernel_sqr( dst[tpig] = src0[tpig] * src0[tpig]; } +kernel void kernel_sum_rows( + device const float * src0, + device float * 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 tpig[[thread_position_in_grid]]) { + int64_t i3 = tpig.z; + int64_t i2 = tpig.y; + int64_t i1 = tpig.x; + + if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) { + return; + } + + device const float * src_row = (device const float *) ((device const char *) src0 + i1*nb01 + i2*nb02 + i3*nb03); + device float * dst_row = (device float *) ((device char *) dst + i1*nb1 + i2*nb2 + i3*nb3); + + float row_sum = 0; + + for (int64_t i0 = 0; i0 < ne00; i0++) { + row_sum += src_row[i0]; + } + + dst_row[0] = row_sum; +} + constant float GELU_COEF_A = 0.044715f; constant float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; @@ -180,10 +331,12 @@ kernel void kernel_gelu( kernel void kernel_soft_max( device const float * src0, + device const float * src1, device float * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, + constant float & scale, threadgroup float * buf [[threadgroup(0)]], uint tgpig[[threadgroup_position_in_grid]], uint tpitg[[thread_position_in_threadgroup]], @@ -194,73 +347,82 @@ kernel void kernel_soft_max( 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; + device const float * psrc0 = src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + device const float * pmask = src1 != src0 ? src1 + i01*ne00 : nullptr; + device float * pdst = dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; // parallel max - float lmax = tpitg < ne00 ? psrc0[tpitg] : -INFINITY; + float lmax = -INFINITY; - for (int i00 = tpitg + ntg; i00 < ne00; i00 += ntg) { - lmax = MAX(lmax, psrc0[i00]); + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + lmax = MAX(lmax, psrc0[i00]*scale + (pmask ? pmask[i00] : 0.0f)); } - float max = simd_max(lmax); - if (tiisg == 0) { - buf[sgitg] = max; - } + // find the max value in the block + float max_val = simd_max(lmax); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = -INFINITY; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + 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]); - } - } + if (tiisg == 0) { + buf[sgitg] = max_val; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); - max = buf[0]; + max_val = buf[tiisg]; + max_val = simd_max(max_val); + } // parallel sum float lsum = 0.0f; for (int i00 = tpitg; i00 < ne00; i00 += ntg) { - const float exp_psrc0 = exp(psrc0[i00] - max); + const float exp_psrc0 = exp((psrc0[i00]*scale + (pmask ? pmask[i00] : 0.0f)) - max_val); 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; } + // This barrier fixes a failing test + // ref: https://github.com/ggerganov/ggml/pull/621#discussion_r1425156335 + threadgroup_barrier(mem_flags::mem_none); + float sum = simd_sum(lsum); - if (tiisg == 0) { - buf[sgitg] = sum; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - // 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); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = sum; + } - sum = buf[0]; + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[tiisg]; + sum = simd_sum(sum); + } + + const float inv_sum = 1.0f/sum; for (int i00 = tpitg; i00 < ne00; i00 += ntg) { - pdst[i00] /= sum; + pdst[i00] *= inv_sum; } } kernel void kernel_soft_max_4( device const float * src0, + device const float * src1, device float * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, + constant float & scale, threadgroup float * buf [[threadgroup(0)]], uint tgpig[[threadgroup_position_in_grid]], uint tpitg[[thread_position_in_threadgroup]], @@ -271,64 +433,74 @@ kernel void kernel_soft_max_4( 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); + device const float4 * psrc4 = (device const float4 *)(src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + device const float4 * pmask = src1 != src0 ? (device const float4 *)(src1 + i01*ne00) : nullptr; + 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; + float4 lmax4 = -INFINITY; - for (int i00 = tpitg + ntg; i00 < ne00/4; i00 += ntg) { - lmax4 = fmax(lmax4, psrc4[i00]); + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + lmax4 = fmax(lmax4, psrc4[i00]*scale + (pmask ? pmask[i00] : 0.0f)); } 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); + float max_val = simd_max(lmax); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = -INFINITY; + } - // 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); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = max_val; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); - max = buf[0]; + max_val = buf[tiisg]; + max_val = simd_max(max_val); + } // parallel sum float4 lsum4 = 0.0f; for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { - const float4 exp_psrc4 = exp(psrc4[i00] - max); + const float4 exp_psrc4 = exp((psrc4[i00]*scale + (pmask ? pmask[i00] : 0.0f)) - max_val); lsum4 += exp_psrc4; pdst4[i00] = exp_psrc4; } const float lsum = lsum4[0] + lsum4[1] + lsum4[2] + lsum4[3]; + + // This barrier fixes a failing test + // ref: https://github.com/ggerganov/ggml/pull/621#discussion_r1425156335 + threadgroup_barrier(mem_flags::mem_none); + float sum = simd_sum(lsum); - if (tiisg == 0) { - buf[sgitg] = sum; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - // 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); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = sum; + } - sum = buf[0]; + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[tiisg]; + sum = simd_sum(sum); + } + + const float inv_sum = 1.0f/sum; for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { - pdst4[i00] /= sum; + pdst4[i00] *= inv_sum; } } @@ -435,14 +607,13 @@ kernel void kernel_rms_norm( constant int64_t & ne00, constant uint64_t & nb01, constant float & eps, - threadgroup float * sum [[threadgroup(0)]], + 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]]) { - device const float4 * x = (device const float4 *) ((device const char *) src0 + tgpig*nb01); - device const float * x_scalar = (device const float *) x; + device const float4 * x = (device const float4 *) ((device const char *) src0 + tgpig*nb01); float4 sumf = 0; float all_sum = 0; @@ -453,40 +624,30 @@ kernel void kernel_rms_norm( } all_sum = sumf[0] + sumf[1] + sumf[2] + sumf[3]; all_sum = simd_sum(all_sum); - if (tiisg == 0) { - sum[sgitg] = all_sum; - } + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + 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]; + if (tiisg == 0) { + buf[sgitg] = all_sum; } - sum[0] /= ne00; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); + + all_sum = buf[tiisg]; + all_sum = simd_sum(all_sum); + } - const float mean = sum[0]; + const float mean = all_sum/ne00; 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]) @@ -576,15 +737,25 @@ inline float block_q_n_dot_y(device const block_q5_1 * qb_curr, float sumy, thre // 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) { +void mul_vec_q_n_f32_impl( + 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 r2, + uint r3, + uint3 tgpig, uint tiisg, uint sgitg) { const int nb = ne00/QK4_0; const int r0 = tgpig.x; @@ -593,7 +764,10 @@ void mul_vec_q_n_f32(device const void * src0, device const float * src1, device const int first_row = (r0 * nsg + sgitg) * nr; - const uint offset0 = first_row * nb + im/gqa*(nb*ne0); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); 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; @@ -643,13 +817,14 @@ kernel void kernel_mul_mv_q4_0_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], 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); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q4_1_f32( @@ -661,13 +836,14 @@ kernel void kernel_mul_mv_q4_1_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], 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); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q5_0_f32( @@ -679,13 +855,14 @@ kernel void kernel_mul_mv_q5_0_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], 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); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q5_1_f32( @@ -697,33 +874,35 @@ kernel void kernel_mul_mv_q5_1_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], 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); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } #define NB_Q8_0 8 -kernel void kernel_mul_mv_q8_0_f32( +void kernel_mul_mv_q8_0_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + 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; @@ -732,8 +911,14 @@ kernel void kernel_mul_mv_q8_0_f32( 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); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; @@ -771,9 +956,29 @@ kernel void kernel_mul_mv_q8_0_f32( } } +[[host_name("kernel_mul_mv_q8_0_f32")]] +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, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q8_0_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); +} + #define N_F32_F32 4 -kernel void kernel_mul_mv_f32_f32( +void kernel_mul_mv_f32_f32_impl( device const char * src0, device const char * src1, device float * dst, @@ -791,6 +996,8 @@ kernel void kernel_mul_mv_f32_f32( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -798,7 +1005,12 @@ kernel void kernel_mul_mv_f32_f32( 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); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const float * x = (device const float *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F32_F32; ++row) { @@ -844,7 +1056,33 @@ kernel void kernel_mul_mv_f32_f32( } } -#define N_F16_F16 4 +[[host_name("kernel_mul_mv_f32_f32")]] +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, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f32_f32_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); +} + +#define N_F16_F16 4 kernel void kernel_mul_mv_f16_f16( device const char * src0, @@ -864,6 +1102,8 @@ kernel void kernel_mul_mv_f16_f16( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -871,7 +1111,12 @@ kernel void kernel_mul_mv_f16_f16( 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); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F16_F16; ++row) { @@ -917,7 +1162,7 @@ kernel void kernel_mul_mv_f16_f16( } } -kernel void kernel_mul_mv_f16_f32_1row( +void kernel_mul_mv_f16_f32_1row_impl( device const char * src0, device const char * src1, device float * dst, @@ -935,6 +1180,8 @@ kernel void kernel_mul_mv_f16_f32_1row( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -942,7 +1189,12 @@ kernel void kernel_mul_mv_f16_f32_1row( 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); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); float sumf = 0; @@ -966,12 +1218,37 @@ kernel void kernel_mul_mv_f16_f32_1row( dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; } } +} +[[host_name("kernel_mul_mv_f16_f32_1row")]] +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, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f16_f32_1row_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); } #define N_F16_F32 4 -kernel void kernel_mul_mv_f16_f32( +void kernel_mul_mv_f16_f32_impl( device const char * src0, device const char * src1, device float * dst, @@ -989,6 +1266,8 @@ kernel void kernel_mul_mv_f16_f32( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -996,7 +1275,12 @@ kernel void kernel_mul_mv_f16_f32( 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); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F16_F32; ++row) { @@ -1042,6 +1326,32 @@ kernel void kernel_mul_mv_f16_f32( } } +[[host_name("kernel_mul_mv_f16_f32")]] +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, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f16_f32_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); +} + // Assumes row size (ne00) is a multiple of 4 kernel void kernel_mul_mv_f16_f32_l4( device const char * src0, @@ -1061,6 +1371,8 @@ kernel void kernel_mul_mv_f16_f32_l4( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -1068,7 +1380,12 @@ kernel void kernel_mul_mv_f16_f32_l4( 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); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half4 * x4 = (device const half4 *) (src0 + offset0); for (int r1 = 0; r1 < nrows; ++r1) { device const float4 * y4 = (device const float4 *) (src1 + r1*nb11 + im*nb12); @@ -1120,17 +1437,21 @@ kernel void kernel_alibi_f32( 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); + const int64_t k = i3*ne3 + i2; - 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); + if (k < n_heads_log2_floor) { + m_k = pow(m0, k + 1); } else { - m_k = pow(m1, 2 * (i2 - n_heads_log2_floor) + 1); + m_k = pow(m1, 2 * (k - n_heads_log2_floor) + 1); } + + device char * dst_row = (device char *) dst + i3*nb3 + i2*nb2 + i1*nb1; + device const char * src_row = (device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01; 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); + const float src_v = *(device float *)(src_row + i00*nb00); + device float * dst_v = (device float *)(dst_row + i00*nb0); + *dst_v = i00 * m_k + src_v; } } @@ -1335,9 +1656,61 @@ kernel void kernel_im2col_f16( } } +// bitonic sort implementation following the CUDA kernels as reference +typedef void (argsort_t)( + device const float * x, + device int32_t * dst, + constant int64_t & ncols, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]]); + +template +kernel void kernel_argsort_f32_i32( + device const float * x, + device int32_t * dst, + constant int64_t & ncols, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]]) { + // bitonic sort + int col = tpitg[0]; + int row = tgpig[1]; + + if (col >= ncols) return; + + device const float * x_row = x + row * ncols; + device int32_t * dst_row = dst + row * ncols; + + // initialize indices + if (col < ncols) { + dst_row[col] = col; + } + threadgroup_barrier(mem_flags::mem_threadgroup); + + for (int k = 2; k <= ncols; k *= 2) { + for (int j = k / 2; j > 0; j /= 2) { + int ixj = col ^ j; + if (ixj > col) { + if ((col & k) == 0) { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] > x_row[dst_row[ixj]] : x_row[dst_row[col]] < x_row[dst_row[ixj]]) { + SWAP(dst_row[col], dst_row[ixj]); + } + } else { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] < x_row[dst_row[ixj]] : x_row[dst_row[col]] > x_row[dst_row[ixj]]) { + SWAP(dst_row[col], dst_row[ixj]); + } + } + } + threadgroup_barrier(mem_flags::mem_threadgroup); + } + } +} + +template [[host_name("kernel_argsort_f32_i32_asc")]] kernel argsort_t kernel_argsort_f32_i32; +template [[host_name("kernel_argsort_f32_i32_desc")]] kernel argsort_t kernel_argsort_f32_i32; + kernel void kernel_cpy_f16_f16( - device const half * src0, - device half * dst, + device const half * src0, + device half * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, @@ -1376,6 +1749,47 @@ kernel void kernel_cpy_f16_f16( } } +kernel void kernel_cpy_f16_f32( + device const half * 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 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, @@ -1460,106 +1874,297 @@ kernel void kernel_cpy_f32_f32( } } -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]]) { +kernel void kernel_cpy_f32_q8_0( + device const float * src0, + device void * 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 i03 = tgpig.z; - const int64_t i02 = tgpig.y; - const int64_t i01 = tgpig.x; + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; - const int64_t i13 = i03 % ne13; - const int64_t i12 = i02 % ne12; - const int64_t i11 = i01 % ne11; + 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)/QK8_0; - 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; + device block_q8_0 * dst_data = (device block_q8_0 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*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; - } -} + for (int64_t i00 = tpitg.x*QK8_0; i00 < ne00; i00 += ntg.x*QK8_0) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); -//============================================ k-quants ====================================================== + float amax = 0.0f; // absolute max -#ifndef QK_K -#define QK_K 256 -#else -static_assert(QK_K == 256 || QK_K == 64, "QK_K must be 256 or 64"); -#endif + for (int j = 0; j < QK8_0; j++) { + const float v = src[j]; + amax = MAX(amax, fabs(v)); + } -#if QK_K == 256 -#define K_SCALE_SIZE 12 -#else -#define K_SCALE_SIZE 4 -#endif + const float d = amax / ((1 << 7) - 1); + const float id = d ? 1.0f/d : 0.0f; -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 + dst_data[i00/QK8_0].d = d; -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; + for (int j = 0; j < QK8_0; ++j) { + const float x0 = src[j]*id; -#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 + dst_data[i00/QK8_0].qs[j] = round(x0); + } + } +} + +kernel void kernel_cpy_f32_q4_0( + device const float * src0, + device void * 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)/QK4_0; + + device block_q4_0 * dst_data = (device block_q4_0 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x*QK4_0; i00 < ne00; i00 += ntg.x*QK4_0) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + float amax = 0.0f; // absolute max + float max = 0.0f; + + for (int j = 0; j < QK4_0; j++) { + const float v = src[j]; + if (amax < fabs(v)) { + amax = fabs(v); + max = v; + } + } + + const float d = max / -8; + const float id = d ? 1.0f/d : 0.0f; + + dst_data[i00/QK4_0].d = d; + + for (int j = 0; j < QK4_0/2; ++j) { + const float x0 = src[0 + j]*id; + const float x1 = src[QK4_0/2 + j]*id; + + const uint8_t xi0 = MIN(15, (int8_t)(x0 + 8.5f)); + const uint8_t xi1 = MIN(15, (int8_t)(x1 + 8.5f)); + + dst_data[i00/QK4_0].qs[j] = xi0; + dst_data[i00/QK4_0].qs[j] |= xi1 << 4; + } + } +} + +kernel void kernel_cpy_f32_q4_1( + device const float * src0, + device void * 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)/QK4_1; + + device block_q4_1 * dst_data = (device block_q4_1 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x*QK4_1; i00 < ne00; i00 += ntg.x*QK4_1) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + float min = FLT_MAX; + float max = -FLT_MAX; + + for (int j = 0; j < QK4_1; j++) { + const float v = src[j]; + if (min > v) min = v; + if (max < v) max = v; + } + + const float d = (max - min) / ((1 << 4) - 1); + const float id = d ? 1.0f/d : 0.0f; + + dst_data[i00/QK4_1].d = d; + dst_data[i00/QK4_1].m = min; + + for (int j = 0; j < QK4_1/2; ++j) { + const float x0 = (src[0 + j] - min)*id; + const float x1 = (src[QK4_1/2 + j] - min)*id; + + const uint8_t xi0 = MIN(15, (int8_t)(x0 + 0.5f)); + const uint8_t xi1 = MIN(15, (int8_t)(x1 + 0.5f)); + + dst_data[i00/QK4_1].qs[j] = xi0; + dst_data[i00/QK4_1].qs[j] |= xi1 << 4; + } + } +} + +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 @@ -1608,32 +2213,39 @@ static inline uchar4 get_scale_min_k4(int j, device const uint8_t * q) { //====================================== dot products ========================= -kernel void kernel_mul_mv_q2_K_f32( +void kernel_mul_mv_q2_K_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + 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 im = 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); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + float yl[32]; float sumf[N_DST]={0.f}, all_sum; @@ -1642,11 +2254,11 @@ kernel void kernel_mul_mv_q2_K_f32( #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 iq = 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; + device const float * y4 = y + ix * QK_K + 128 * iq + 8 * ir; for (int ib = ix; ib < nb; ib += 4) { @@ -1658,8 +2270,8 @@ kernel void kernel_mul_mv_q2_K_f32( 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 uint8_t * sc = (device const uint8_t *)x[ib].scales + 8*iq + is; + device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 16 * iq + 4 * ir; device const half * dh = &x[ib].d; for (int row = 0; row < N_DST; row++) { @@ -1746,13 +2358,13 @@ kernel void kernel_mul_mv_q2_K_f32( 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; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = all_sum; } } } -#if QK_K == 256 -kernel void kernel_mul_mv_q3_K_f32( +[[host_name("kernel_mul_mv_q2_K_f32")]] +kernel void kernel_mul_mv_q2_K_f32( device const void * src0, device const float * src1, device float * dst, @@ -1761,23 +2373,50 @@ kernel void kernel_mul_mv_q3_K_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q2_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + +#if QK_K == 256 +void kernel_mul_mv_q3_K_f32_impl( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + 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 int64_t im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float yl[32]; @@ -1899,40 +2538,47 @@ kernel void kernel_mul_mv_q3_K_f32( } if (tiisg == 0) { for (int row = 0; row < 2; ++row) { - dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = sumf1[row]; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = sumf1[row]; } } } #else -kernel void kernel_mul_mv_q3_K_f32( +void kernel_mul_mv_q3_K_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + 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 int64_t im = tgpig.z; const int row = 2 * r0 + sgitg; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * yy = (device const float *) src1 + r1*ne10 + im*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 iq = il/8; // 0, 0, 1, 1 const int in = il%8; // 0, 4, 0, 4 float2 sum = {0.f, 0.f}; @@ -1952,7 +2598,7 @@ kernel void kernel_mul_mv_q3_K_f32( 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; + const uint16_t hm = h[l/2] >> iq; 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)) @@ -1968,28 +2614,50 @@ kernel void kernel_mul_mv_q3_K_f32( const float tot = simd_sum(sumf); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + dst[r1*ne0 + im*ne0*ne1 + row] = tot; } } #endif +[[host_name("kernel_mul_mv_q3_K_f32")]] +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 & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q3_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + #if QK_K == 256 -kernel void kernel_mul_mv_q4_K_f32( +void kernel_mul_mv_q4_K_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const uint16_t kmask1 = 0x3f3f; const uint16_t kmask2 = 0x0f0f; @@ -1997,26 +2665,32 @@ kernel void kernel_mul_mv_q4_K_f32( const int ix = tiisg/8; // 0...3 const int it = tiisg%8; // 0...7 - const int im = it/4; // 0 or 1 + const int iq = 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 im = 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); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * y = (device const float *) src1 + r1*ne10 + im*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; + device const float * y4 = y + ix * QK_K + 64 * iq + 8 * ir; uint16_t sc16[4]; thread const uint8_t * sc8 = (thread const uint8_t *)sc16; @@ -2031,8 +2705,8 @@ kernel void kernel_mul_mv_q4_K_f32( 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 uint16_t * sc = (device const uint16_t *)x[ib].scales + iq; + device const uint16_t * q1 = (device const uint16_t *)x[ib].qs + 16 * iq + 4 * ir; device const half * dh = &x[ib].d; for (int row = 0; row < N_DST; row++) { @@ -2076,23 +2750,24 @@ kernel void kernel_mul_mv_q4_K_f32( 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; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = all_sum; } } } #else -kernel void kernel_mul_mv_q4_K_f32( +void kernel_mul_mv_q4_K_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { @@ -2103,12 +2778,18 @@ kernel void kernel_mul_mv_q4_K_f32( const int nb = ne00/QK_K; const int r0 = tgpig.x; const int r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = 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); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + float yl[8]; float yh[8]; float sumf[N_DST]={0.f}, all_sum; @@ -2164,13 +2845,14 @@ kernel void kernel_mul_mv_q4_K_f32( 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; + dst[r1*ne0+ im*ne0*ne1 + first_row + row] = all_sum; } } } #endif -kernel void kernel_mul_mv_q5_K_f32( +[[host_name("kernel_mul_mv_q4_K_f32")]] +kernel void kernel_mul_mv_q4_K_f32( device const void * src0, device const float * src1, device float * dst, @@ -2179,23 +2861,49 @@ kernel void kernel_mul_mv_q5_K_f32( 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)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q4_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + +void kernel_mul_mv_q5_K_f32_impl( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + 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 im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float sumf[2]={0.f}; @@ -2211,15 +2919,15 @@ kernel void kernel_mul_mv_q5_K_f32( const int tid = tiisg/4; const int ix = tiisg%4; - const int im = tid/4; + const int iq = 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 int q_offset = 32*iq + l0; + const int y_offset = 64*iq + l0; - const uint8_t hm1 = 1u << (2*im); + const uint8_t hm1 = 1u << (2*iq); const uint8_t hm2 = hm1 << 1; const uint8_t hm3 = hm1 << 4; const uint8_t hm4 = hm2 << 4; @@ -2234,7 +2942,7 @@ kernel void kernel_mul_mv_q5_K_f32( 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 uint16_t * a = (device const uint16_t *)x[i].scales + iq; device const float * y2 = y1 + 128; float4 sumy = {0.f, 0.f, 0.f, 0.f}; @@ -2290,7 +2998,7 @@ kernel void kernel_mul_mv_q5_K_f32( 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 iq = il/8; // 0, 0, 1, 1 const int in = il%8; // 0, 4, 0, 4 device const float * y = yy + ix*QK_K + il; @@ -2315,7 +3023,7 @@ kernel void kernel_mul_mv_q5_K_f32( float2 acc = {0.f, 0.f}; for (int l = 0; l < 4; ++l) { - const uint8_t hl = h[l] >> im; + const uint8_t hl = h[l] >> iq; 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)) @@ -2337,27 +3045,48 @@ kernel void kernel_mul_mv_q5_K_f32( 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; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = tot; } } +} + +[[host_name("kernel_mul_mv_q5_K_f32")]] +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 & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q5_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); } -kernel void kernel_mul_mv_q6_K_f32( +void kernel_mul_mv_q6_K_f32_impl( 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)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const uint8_t kmask1 = 0x03; const uint8_t kmask2 = 0x0C; @@ -2368,12 +3097,17 @@ kernel void kernel_mul_mv_q6_K_f32( const int64_t r0 = tgpig.x; const int64_t r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; const int row = 2 * r0 + sgitg; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + 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; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float sumf = 0; @@ -2439,10 +3173,31 @@ kernel void kernel_mul_mv_q6_K_f32( const float tot = simd_sum(sumf); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + dst[r1*ne0 + im*ne0*ne1 + row] = tot; } } +[[host_name("kernel_mul_mv_q6_K_f32")]] +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 & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q6_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + //============================= templates and their specializations ============================= // NOTE: this is not dequantizing - we are simply fitting the template @@ -2717,22 +3472,90 @@ void dequantize_q6_K(device const block_q6_K *xb, short il, thread type4x4 & reg template kernel void kernel_get_rows( device const void * src0, - device const int * src1, + device const char * src1, device float * dst, constant int64_t & ne00, constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, constant uint64_t & nb1, - uint tgpig[[threadgroup_position_in_grid]], + constant uint64_t & nb2, + uint3 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]; + uint3 tptg [[threads_per_threadgroup]]) { + //const int64_t i = tgpig; + //const int64_t r = ((device int32_t *) src1)[i]; + + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; - for (int ind = tiitg; ind < ne00/16; ind += tptg) { + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int64_t ind = tiitg; ind < ne00/16; ind += tptg.x) { 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; + ((device const block_q *) ((device char *) src0 + r*nb01 + i02*nb02)) + ind/nl, ind%nl, temp); + *(((device float4x4 *) ((device char *) dst + i11*nb2 + i10*nb1)) + ind) = temp; + } +} + +kernel void kernel_get_rows_f32( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg [[threads_per_threadgroup]]) { + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; + + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int ind = tiitg; ind < ne00; ind += tptg.x) { + ((device float *) ((device char *) dst + i11*nb2 + i10*nb1))[ind] = + ((device float *) ((device char *) src0 + r*nb01 + i02*nb02))[ind]; + } +} + +kernel void kernel_get_rows_f16( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg [[threads_per_threadgroup]]) { + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; + + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int ind = tiitg; ind < ne00; ind += tptg.x) { + ((device float *) ((device char *) dst + i11*nb2 + i10*nb1))[ind] = + ((device half *) ((device char *) src0 + r*nb01 + i02*nb02))[ind]; } } @@ -2749,24 +3572,25 @@ kernel void kernel_get_rows( // 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]]) { +void kernel_mul_mm_impl(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 & r2, + constant uint & r3, + 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); @@ -2792,7 +3616,10 @@ kernel void kernel_mul_mm(device const uchar * src0, short il = (tiitg % THREAD_PER_ROW); - uint offset0 = im/gqa*nb02; + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + uint offset0 = (i12/r2)*nb02 + (i13/r3)*(nb02*ne02); ushort offset1 = il/nl; device const block_q * x = (device const block_q *)(src0 + (r0 * BLOCK_SIZE_M + thread_row) * nb01 + offset0) + offset1; @@ -2876,17 +3703,137 @@ kernel void kernel_mul_mm(device const uchar * src0, } } +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 & r2, + constant uint & r3, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mm_impl( + src0, + src1, + dst, + ne00, + ne02, + nb01, + nb02, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + shared_memory, + tgpig, + tiitg, + sgitg); +} + +template +kernel void kernel_mul_mm_id( + device const uchar * ids, + device const uchar * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const uchar * src00, + device const uchar * src01, + device const uchar * src02, + device const uchar * src03, + device const uchar * src04, + device const uchar * src05, + device const uchar * src06, + device const uchar * src07, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const uchar * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mm_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne02, + nb01, + nb02, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + shared_memory, + tgpig, + tiitg, + sgitg); +} + #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); +// +// get rows +// -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; +typedef void (get_rows_t)( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3, uint, uint3); + +//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; @@ -2898,6 +3845,10 @@ 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; +// +// matrix-matrix multiplication +// + typedef void (mat_mm_t)( device const uchar * src0, device const uchar * src1, @@ -2912,8 +3863,10 @@ typedef void (mat_mm_t)( constant int64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, - constant uint & gqa, - threadgroup uchar *, uint3, uint, uint); + constant uint & r2, + constant uint & r3, + 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; @@ -2927,3 +3880,823 @@ template [[host_name("kernel_mul_mm_q3_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; + +// +// indirect matrix-matrix multiplication +// + +typedef void (mat_mm_id_t)( + device const uchar * ids, + device const uchar * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const uchar * src00, + device const uchar * src01, + device const uchar * src02, + device const uchar * src03, + device const uchar * src04, + device const uchar * src05, + device const uchar * src06, + device const uchar * src07, + threadgroup uchar *, + uint3, uint, uint); + +template [[host_name("kernel_mul_mm_id_f32_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_f16_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_1_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_1_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q8_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q2_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q3_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q6_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; + +// +// matrix-vector multiplication +// + +[[host_name("kernel_mul_mv_id_f32_f32")]] +kernel void kernel_mul_mv_id_f32_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_f32_f32_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne01, + ne02, + nb00, + nb01, + nb02, + ne10, + ne11, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg); +} + +[[host_name("kernel_mul_mv_id_f16_f32")]] +kernel void kernel_mul_mv_id_f16_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_f16_f32_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne01, + ne02, + nb00, + nb01, + nb02, + ne10, + ne11, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg); +} + +[[host_name("kernel_mul_mv_id_q8_0_f32")]] +kernel void kernel_mul_mv_id_q8_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q8_0_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_0_f32")]] +kernel void kernel_mul_mv_id_q4_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_1_f32")]] +kernel void kernel_mul_mv_id_q4_1_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_0_f32")]] +kernel void kernel_mul_mv_id_q5_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_1_f32")]] +kernel void kernel_mul_mv_id_q5_1_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q2_K_f32")]] +kernel void kernel_mul_mv_id_q2_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q2_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q3_K_f32")]] +kernel void kernel_mul_mv_id_q3_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q3_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_K_f32")]] +kernel void kernel_mul_mv_id_q4_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q4_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_K_f32")]] +kernel void kernel_mul_mv_id_q5_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q5_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q6_K_f32")]] +kernel void kernel_mul_mv_id_q6_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + 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 int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q6_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} diff --git a/LLama/runtimes/deps/osx-arm64/libllama.dylib b/LLama/runtimes/deps/osx-arm64/libllama.dylib index df57f7dfa6158638fd9d0d188e9152ab46adce1d..712a0be4970606c500ca321478344e3a78475ad5 100644 GIT binary patch literal 954587 zcmeF4d3==B)%fo-lfcX*VKFNS%|fgupdytmRhkJ1hOj6h2re}V6itYTEG~$Ugt!C- zt$|qE#8(1Xn;E686)I`rW$O~f+81MKYx|Z7+BzXFMYb6r&hLAkXP#t;Xxq>G-|rJX zpNA*UUCurC+;h)8=iGDe{Qlg>pGPaDDgO22N#yxylv0mZ4VEM|gs04^RB>_9x231JQW2^u{Ij@t`HBbT zFYiw34X>!tfU}{$QAEDO;n_m)=)3-}xOmC@MGJa>_J-%(YQRgEPVrB^Lw_0xU%;>Y zzVa2tOYXjV`N9>T*&Ci}HsD1VwUvB_&Tfb@np=#K_|i;9h!^4*PVZ(w`_Z~2O4<@ena%Igj9k+BA! zT>YR?!2C8rh4)?3LgTUE-qPjE?<-xrus6IPy<)%{6arv={|k7F7p^E1a9X*YCB$HkK0WZ{L{Zo>+ 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z<0glY!a_{3eGttG^*;>QEN=CGja(IVq!MWdA7ctk)O%}UYdI8lB5qo-MEwXaiI|1r zeaAb$r=Pc!E6yM_3-H!Ws0y^Q!^&i}orLKvA`{d=ZAI+J(rU@1wqzBD^0MGN zvc-;Uu`A`(m9)BTLB1=Q=*kv*GAU^aT8SL(MDmqLz7i?uM6#Ml5gH>IGe(NX7^SYF zP)5-L<7Bstlk6Eq5ll;V*0dD<+EN0ht+b&ii0LSGJ6c^i)JD-Rqo|kZDDqQu&L~P} z6n!#Xgox>nZ(JRL>~7XB6c#i6WOo(JMv&Y*XrnZOVSwrtF7p%6{0U95>sP z`eKbj&nWbaLJ!|nyv@wx#s9t)(gbXiGh?9Yv-cg`T4KR?&N_=(z1F zZ78~H6`iz-PFh7LZBLPXPmzJ5lfZqJW27vJR?$-bLn*1km*7 z&%=Ye7R4yTNqPETcZ5>#6e>OckNEaI#4w`M?%6QCxJ=LcXCR&by8d?d>0%h4g?&EV z_T(2g2%#1K3>N}3kHZ2OOFf&o8+IQE!g)1qH2J5oce4k4p1{HB0Y_{8Aar;vBUrjP zt^3a-V$o+yg6NLZd!xyOeAIExFfV2-Ddz5a#1C|dXOTJot>0iSR?DVFX^7-@}6AoYSM@Rnx DFKu*g From bab6b65b61fc86c9462dff71c95139ea2dfbe416 Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Wed, 13 Dec 2023 19:35:21 +0000 Subject: [PATCH 2/9] Added a safe handle for LLamaKvCacheView --- LLama.Examples/Program.cs | 6 ++- LLama/Native/LLamaKvCacheView.cs | 87 ++++++++++++++++++++++++++++++-- 2 files changed, 87 insertions(+), 6 deletions(-) diff --git a/LLama.Examples/Program.cs b/LLama.Examples/Program.cs index 9feb62023..85ec34f2d 100644 --- a/LLama.Examples/Program.cs +++ b/LLama.Examples/Program.cs @@ -7,7 +7,11 @@ Console.WriteLine("======================================================================================================"); -NativeLibraryConfig.Instance.WithCuda().WithLogs(); +NativeLibraryConfig + .Instance + .WithCuda() + .WithLogs() + .WithAvx(NativeLibraryConfig.AvxLevel.Avx512); NativeApi.llama_empty_call(); Console.WriteLine(); diff --git a/LLama/Native/LLamaKvCacheView.cs b/LLama/Native/LLamaKvCacheView.cs index 395d447c0..5dad1fc36 100644 --- a/LLama/Native/LLamaKvCacheView.cs +++ b/LLama/Native/LLamaKvCacheView.cs @@ -1,4 +1,5 @@ -using System.Runtime.InteropServices; +using System; +using System.Runtime.InteropServices; namespace LLama.Native; @@ -18,7 +19,6 @@ public struct LLamaKvCacheViewCell ///

    /// An updateable view of the KV cache (llama_kv_cache_view) /// -//todo: rewrite to safe handle? [StructLayout(LayoutKind.Sequential)] public unsafe struct LLamaKvCacheView { @@ -52,6 +52,84 @@ public unsafe struct LLamaKvCacheView LLamaSeqId* cells_sequences; } +/// +/// A safe handle for a LLamaKvCacheView +/// +public class LLamaKvCacheViewSafeHandle + : SafeLLamaHandleBase +{ + private readonly SafeLLamaContextHandle _ctx; + private LLamaKvCacheView _view; + + /// + /// Initialize a LLamaKvCacheViewSafeHandle which will call `llama_kv_cache_view_free` when disposed + /// + /// + /// + public LLamaKvCacheViewSafeHandle(SafeLLamaContextHandle ctx, LLamaKvCacheView view) + : base(IntPtr.MaxValue, true) + { + _ctx = ctx; + _view = view; + } + + /// + /// Allocate a new llama_kv_cache_view_free + /// + /// + /// The maximum number of sequences visible in this view per cell + /// + public static LLamaKvCacheViewSafeHandle Allocate(SafeLLamaContextHandle ctx, int maxSequences) + { + var result = NativeApi.llama_kv_cache_view_init(ctx, maxSequences); + return new LLamaKvCacheViewSafeHandle(ctx, result); + } + + /// + protected override bool ReleaseHandle() + { + NativeApi.llama_kv_cache_view_free(ref _view); + SetHandle(IntPtr.Zero); + + return true; + } + + /// + /// Update this view + /// + public void Update() + { + NativeApi.llama_kv_cache_view_update(_ctx, ref _view); + } + + /// + /// Count the number of used cells in the KV cache + /// + /// + public int CountCells() + { + return NativeApi.llama_get_kv_cache_used_cells(_ctx); + } + + /// + /// Count the number of tokens in the KV cache. If a token is assigned to multiple sequences it will be countered multiple times + /// + /// + public int CountTokens() + { + return NativeApi.llama_get_kv_cache_token_count(_ctx); + } + + /// + /// Get the raw KV cache view + /// + /// + public ref LLamaKvCacheView GetView() + { + return ref _view; + } +} + partial class NativeApi { /// @@ -66,9 +144,8 @@ partial class NativeApi /// /// Free a KV cache view. (use only for debugging purposes) /// - /// [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] - public static extern unsafe void llama_kv_cache_view_free(LLamaKvCacheView* view); + public static extern void llama_kv_cache_view_free(ref LLamaKvCacheView view); /// /// Update the KV cache view structure with the current state of the KV cache. (use only for debugging purposes) @@ -76,7 +153,7 @@ partial class NativeApi /// /// [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)] - public static extern unsafe void llama_kv_cache_view_update(SafeLLamaContextHandle ctx, LLamaKvCacheView* view); + public static extern void llama_kv_cache_view_update(SafeLLamaContextHandle ctx, ref LLamaKvCacheView view); /// /// Returns the number of tokens in the KV cache (slow, use only for debug) From b3e576608bb969cc404b4e2aa31301120daa78da Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Wed, 13 Dec 2023 19:41:47 +0000 Subject: [PATCH 3/9] fixed safe handle --- LLama/Native/LLamaKvCacheView.cs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/LLama/Native/LLamaKvCacheView.cs b/LLama/Native/LLamaKvCacheView.cs index 5dad1fc36..ea1c1172c 100644 --- a/LLama/Native/LLamaKvCacheView.cs +++ b/LLama/Native/LLamaKvCacheView.cs @@ -67,7 +67,7 @@ public class LLamaKvCacheViewSafeHandle /// /// public LLamaKvCacheViewSafeHandle(SafeLLamaContextHandle ctx, LLamaKvCacheView view) - : base(IntPtr.MaxValue, true) + : base((IntPtr)1, true) { _ctx = ctx; _view = view; From b0270b57880f24f9dba5e7b67f30049faec14e10 Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Wed, 13 Dec 2023 19:53:56 +0000 Subject: [PATCH 4/9] Added comments on GGMLType --- LLama/Native/GGMLType.cs | 74 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 74 insertions(+) diff --git a/LLama/Native/GGMLType.cs b/LLama/Native/GGMLType.cs index ec29fc8d6..8d7b78fac 100644 --- a/LLama/Native/GGMLType.cs +++ b/LLama/Native/GGMLType.cs @@ -2,29 +2,103 @@ public enum GGMLType { + /// + /// Full 32 bit float + /// GGML_TYPE_F32 = 0, + + /// + /// 16 bit float + /// GGML_TYPE_F16 = 1, + + /// + /// 4 bit float + /// GGML_TYPE_Q4_0 = 2, + + /// + /// 4 bit float + /// GGML_TYPE_Q4_1 = 3, // GGML_TYPE_Q4_2 = 4, support has been removed // GGML_TYPE_Q4_3 (5) support has been removed + /// + /// 5 bit float + /// GGML_TYPE_Q5_0 = 6, + + /// + /// 5 bit float + /// GGML_TYPE_Q5_1 = 7, + + /// + /// 8 bit float + /// GGML_TYPE_Q8_0 = 8, + + /// + /// 8 bit float + /// GGML_TYPE_Q8_1 = 9, // k-quantizations + + /// + /// "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. + /// Block scales and mins are quantized with 4 bits. This ends up effectively using 2.5625 bits per weight (bpw) + /// GGML_TYPE_Q2_K = 10, + + /// + /// "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. + /// Scales are quantized with 6 bits. This end up using 3.4375 bpw. + /// GGML_TYPE_Q3_K = 11, + + /// + /// "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. + /// Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw. + /// GGML_TYPE_Q4_K = 12, + + /// + /// "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw + /// GGML_TYPE_Q5_K = 13, + + /// + /// "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. + /// Scales are quantized with 8 bits. This ends up using 6.5625 bpw + /// GGML_TYPE_Q6_K = 14, + + /// + /// "type-0" 8-bit quantization. Only used for quantizing intermediate results. + /// The difference to the existing Q8_0 is that the block size is 256. All 2-6 bit dot products are implemented for this quantization type. + /// GGML_TYPE_Q8_K = 15, + + /// + /// Integer, 8 bit + /// GGML_TYPE_I8 = 16, + + /// + /// Integer, 16 bit + /// GGML_TYPE_I16 = 17, + + /// + /// Integer, 32 bit + /// GGML_TYPE_I32 = 18, + /// + /// The value of this entry is the count of the number of possible quant types. + /// GGML_TYPE_COUNT, } \ No newline at end of file From 5ad2cd1d3c7d797e6c83195a7f60b0d9d092d53a Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Wed, 13 Dec 2023 19:54:15 +0000 Subject: [PATCH 5/9] Added a comment on the type itself --- LLama/Native/GGMLType.cs | 3 +++ 1 file changed, 3 insertions(+) diff --git a/LLama/Native/GGMLType.cs b/LLama/Native/GGMLType.cs index 8d7b78fac..8bd33211d 100644 --- a/LLama/Native/GGMLType.cs +++ b/LLama/Native/GGMLType.cs @@ -1,5 +1,8 @@ namespace LLama.Native; +/// +/// Possible GGML quantisation types +/// public enum GGMLType { /// From b22d8b749552f0e3c63f46d0a26832ce68713a2e Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Thu, 14 Dec 2023 01:19:51 +0000 Subject: [PATCH 6/9] - Added `GroupDisposable` to dispose a collection of items all together - Renamed `LLamaModelKvOverride` to `LLamaModelMetadataOverride` --- LLama/Extensions/IModelParamsExtensions.cs | 65 +++++++++++-------- LLama/Native/GroupDisposable.cs | 57 ++++++++++++++++ ...rride.cs => LLamaModelMetadataOverride.cs} | 4 +- LLama/Native/LLamaModelParams.cs | 2 +- 4 files changed, 99 insertions(+), 29 deletions(-) create mode 100644 LLama/Native/GroupDisposable.cs rename LLama/Native/{LLamaModelKvOverride.cs => LLamaModelMetadataOverride.cs} (90%) diff --git a/LLama/Extensions/IModelParamsExtensions.cs b/LLama/Extensions/IModelParamsExtensions.cs index a9c2d10ef..011f42f90 100644 --- a/LLama/Extensions/IModelParamsExtensions.cs +++ b/LLama/Extensions/IModelParamsExtensions.cs @@ -4,38 +4,51 @@ using LLama.Abstractions; using LLama.Native; -namespace LLama.Extensions +namespace LLama.Extensions; + +/// +/// Extention methods to the IModelParams interface +/// +public static class IModelParamsExtensions { /// - /// Extention methods to the IModelParams interface + /// Convert the given `IModelParams` into a `LLamaModelParams` /// - public static class IModelParamsExtensions + /// + /// + /// + /// + /// + public static IDisposable ToLlamaModelParams(this IModelParams @params, out LLamaModelParams result) { - /// - /// Convert the given `IModelParams` into a `LLamaModelParams` - /// - /// - /// - /// - /// - /// - public static MemoryHandle ToLlamaModelParams(this IModelParams @params, out LLamaModelParams result) - { - result = NativeApi.llama_model_default_params(); + var disposer = new GroupDisposable(); - result.main_gpu = @params.MainGpu; - result.n_gpu_layers = @params.GpuLayerCount; - result.use_mlock = @params.UseMemoryLock; - result.use_mmap = @params.UseMemorymap; - result.vocab_only = @params.VocabOnly; + result = NativeApi.llama_model_default_params(); - var pin = @params.TensorSplits.Pin(); - unsafe - { - result.tensor_split = (float*)pin.Pointer; - } + result.main_gpu = @params.MainGpu; + result.n_gpu_layers = @params.GpuLayerCount; + result.use_mlock = @params.UseMemoryLock; + result.use_mmap = @params.UseMemorymap; + result.vocab_only = @params.VocabOnly; - return pin; + unsafe + { + result.tensor_split = (float*)disposer.Add(@params.TensorSplits.Pin()).Pointer; } + + //todo: MetadataOverrides + //if (@params.MetadataOverrides.Count == 0) + //{ + // unsafe + // { + // result.kv_overrides = (LLamaModelMetadataOverride*)IntPtr.Zero; + // } + //} + //else + //{ + // throw new NotImplementedException("MetadataOverrides"); + //} + + return disposer; } -} +} \ No newline at end of file diff --git a/LLama/Native/GroupDisposable.cs b/LLama/Native/GroupDisposable.cs new file mode 100644 index 000000000..5238c1ade --- /dev/null +++ b/LLama/Native/GroupDisposable.cs @@ -0,0 +1,57 @@ +using System; +using System.Buffers; +using System.Collections.Generic; + +namespace LLama.Native; + +/// +/// Disposes all contained disposables when this class is disposed +/// +internal sealed class GroupDisposable + : IDisposable +{ + private bool _disposed; + + private readonly List _handles = new(); + private readonly List _disposables = new(); + + /// + ~GroupDisposable() + { + Dispose(); + } + + public MemoryHandle Add(MemoryHandle handle) + { + if (_disposed) + throw new ObjectDisposedException("Cannot add new handle, already disposed"); + _handles.Add(handle); + + return handle; + } + + public T Add(T disposable) + where T : class, IDisposable + { + if (_disposed) + throw new ObjectDisposedException("Cannot add new IDisposable, already disposed"); + _disposables.Add(disposable); + + return disposable; + } + + /// + public void Dispose() + { + if (_disposed) + return; + + foreach (var memoryHandle in _handles) + memoryHandle.Dispose(); + foreach (var disposable in _disposables) + disposable.Dispose(); + + _disposed = true; + GC.SuppressFinalize(this); + } +} \ No newline at end of file diff --git a/LLama/Native/LLamaModelKvOverride.cs b/LLama/Native/LLamaModelMetadataOverride.cs similarity index 90% rename from LLama/Native/LLamaModelKvOverride.cs rename to LLama/Native/LLamaModelMetadataOverride.cs index b5083ef5e..be5f791e0 100644 --- a/LLama/Native/LLamaModelKvOverride.cs +++ b/LLama/Native/LLamaModelMetadataOverride.cs @@ -3,10 +3,10 @@ namespace LLama.Native; /// -/// Override a key/value pair in the llama model metadata +/// Override a key/value pair in the llama model metadata (llama_model_kv_override) /// [StructLayout(LayoutKind.Explicit)] -public unsafe struct LLamaModelKvOverride +public unsafe struct LLamaModelMetadataOverride { /// /// Key to override diff --git a/LLama/Native/LLamaModelParams.cs b/LLama/Native/LLamaModelParams.cs index d3a3c9680..ed7b60439 100644 --- a/LLama/Native/LLamaModelParams.cs +++ b/LLama/Native/LLamaModelParams.cs @@ -37,7 +37,7 @@ public unsafe struct LLamaModelParams /// /// override key-value pairs of the model meta data /// - public LLamaModelKvOverride* kv_overrides; + public LLamaModelMetadataOverride* kv_overrides; /// /// only load the vocabulary, no weights From b868b056f777ba101efaf0c95ce9141ff569e197 Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Thu, 14 Dec 2023 02:05:40 +0000 Subject: [PATCH 7/9] Added metadata overrides to `IModelParams` --- LLama.Examples/Examples/BatchedDecoding.cs | 2 + LLama.Examples/LLama.Examples.csproj | 2 +- LLama.Examples/Program.cs | 3 +- LLama.Unittest/ModelsParamsTests.cs | 8 +- LLama.Web/Common/ModelOptions.cs | 3 + LLama/Abstractions/IModelParams.cs | 100 ++++++++++++++++++++- LLama/Common/ModelParams.cs | 6 +- LLama/Extensions/IModelParamsExtensions.cs | 52 ++++++++--- LLama/Native/LLamaModelMetadataOverride.cs | 2 +- 9 files changed, 157 insertions(+), 21 deletions(-) diff --git a/LLama.Examples/Examples/BatchedDecoding.cs b/LLama.Examples/Examples/BatchedDecoding.cs index 6f36358d2..9042a60b5 100644 --- a/LLama.Examples/Examples/BatchedDecoding.cs +++ b/LLama.Examples/Examples/BatchedDecoding.cs @@ -1,5 +1,6 @@ using System.Diagnostics; using System.Text; +using LLama.Abstractions; using LLama.Common; using LLama.Native; @@ -30,6 +31,7 @@ public static async Task Run() // Load model var parameters = new ModelParams(modelPath); + using var model = LLamaWeights.LoadFromFile(parameters); // Tokenize prompt diff --git a/LLama.Examples/LLama.Examples.csproj b/LLama.Examples/LLama.Examples.csproj index d3acbb822..eb70e2189 100644 --- a/LLama.Examples/LLama.Examples.csproj +++ b/LLama.Examples/LLama.Examples.csproj @@ -2,7 +2,7 @@ Exe - net6.0;net7.0;net8.0 + net6.0;net8.0 enable enable AnyCPU;x64 diff --git a/LLama.Examples/Program.cs b/LLama.Examples/Program.cs index 85ec34f2d..a8b9b39a3 100644 --- a/LLama.Examples/Program.cs +++ b/LLama.Examples/Program.cs @@ -10,8 +10,7 @@ NativeLibraryConfig .Instance .WithCuda() - .WithLogs() - .WithAvx(NativeLibraryConfig.AvxLevel.Avx512); + .WithLogs(); NativeApi.llama_empty_call(); Console.WriteLine(); diff --git a/LLama.Unittest/ModelsParamsTests.cs b/LLama.Unittest/ModelsParamsTests.cs index 34c9c21bb..f4d4b261c 100644 --- a/LLama.Unittest/ModelsParamsTests.cs +++ b/LLama.Unittest/ModelsParamsTests.cs @@ -1,5 +1,6 @@ using LLama.Common; using System.Text.Json; +using LLama.Abstractions; namespace LLama.Unittest { @@ -14,7 +15,12 @@ public void SerializeRoundTripSystemTextJson() ContextSize = 42, Seed = 42, GpuLayerCount = 111, - TensorSplits = { [0] = 3 } + TensorSplits = { [0] = 3 }, + MetadataOverrides = + { + MetadataOverride.Create("hello", true), + MetadataOverride.Create("world", 17), + } }; var json = JsonSerializer.Serialize(expected); diff --git a/LLama.Web/Common/ModelOptions.cs b/LLama.Web/Common/ModelOptions.cs index 0ae41ded3..7b770b389 100644 --- a/LLama.Web/Common/ModelOptions.cs +++ b/LLama.Web/Common/ModelOptions.cs @@ -59,6 +59,9 @@ public class ModelOptions /// public TensorSplitsCollection TensorSplits { get; set; } = new(); + /// + public List MetadataOverrides { get; } = new(); + /// public float? RopeFrequencyBase { get; set; } diff --git a/LLama/Abstractions/IModelParams.cs b/LLama/Abstractions/IModelParams.cs index 4a3dde7a2..56b7baee6 100644 --- a/LLama/Abstractions/IModelParams.cs +++ b/LLama/Abstractions/IModelParams.cs @@ -59,6 +59,11 @@ public interface IModelParams /// base model path for the lora adapter (lora_base) /// string LoraBase { get; set; } + + /// + /// Override specific metadata items in the model + /// + List MetadataOverrides { get; } } /// @@ -186,7 +191,7 @@ public class TensorSplitsCollectionConverter : JsonConverter { /// - public override TensorSplitsCollection? Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) + public override TensorSplitsCollection Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) { var arr = JsonSerializer.Deserialize(ref reader, options) ?? Array.Empty(); return new TensorSplitsCollection(arr); @@ -198,4 +203,97 @@ public override void Write(Utf8JsonWriter writer, TensorSplitsCollection value, JsonSerializer.Serialize(writer, value.Splits, options); } } + + /// + /// An override for a single key/value pair in model metadata + /// + [JsonConverter(typeof(MetadataOverrideConverter))] + public abstract record MetadataOverride + { + /// + /// Create a new override for an int key + /// + /// + /// + /// + public static MetadataOverride Create(string key, int value) + { + return new IntOverride(key, value); + } + + /// + /// Create a new override for a float key + /// + /// + /// + /// + public static MetadataOverride Create(string key, float value) + { + return new FloatOverride(key, value); + } + + /// + /// Create a new override for a boolean key + /// + /// + /// + /// + public static MetadataOverride Create(string key, bool value) + { + return new BoolOverride(key, value); + } + + internal abstract void Write(ref LLamaModelMetadataOverride dest); + + /// + /// Get the key being overriden by this override + /// + public abstract string Key { get; init; } + + private record IntOverride(string Key, int Value) : MetadataOverride + { + internal override void Write(ref LLamaModelMetadataOverride dest) + { + dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT; + dest.IntValue = Value; + } + } + + private record FloatOverride(string Key, float Value) : MetadataOverride + { + internal override void Write(ref LLamaModelMetadataOverride dest) + { + dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT; + dest.FloatValue = Value; + } + } + + private record BoolOverride(string Key, bool Value) : MetadataOverride + { + internal override void Write(ref LLamaModelMetadataOverride dest) + { + dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL; + dest.BoolValue = Value ? -1 : 0; + } + } + } + + public class MetadataOverrideConverter + : JsonConverter + { + /// + public override MetadataOverride Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) + { + throw new NotImplementedException(); + //var arr = JsonSerializer.Deserialize(ref reader, options) ?? Array.Empty(); + //return new TensorSplitsCollection(arr); + } + + /// + public override void Write(Utf8JsonWriter writer, MetadataOverride value, JsonSerializerOptions options) + { + throw new NotImplementedException(); + //JsonSerializer.Serialize(writer, value.Splits, options); + } + } } \ No newline at end of file diff --git a/LLama/Common/ModelParams.cs b/LLama/Common/ModelParams.cs index f73005365..8ac806a74 100644 --- a/LLama/Common/ModelParams.cs +++ b/LLama/Common/ModelParams.cs @@ -1,9 +1,8 @@ using LLama.Abstractions; -using System; using System.Text; -using System.Text.Json; using System.Text.Json.Serialization; using LLama.Native; +using System.Collections.Generic; namespace LLama.Common { @@ -55,6 +54,9 @@ public record ModelParams /// public TensorSplitsCollection TensorSplits { get; set; } = new(); + /// + public List MetadataOverrides { get; } = new(); + /// public float? RopeFrequencyBase { get; set; } diff --git a/LLama/Extensions/IModelParamsExtensions.cs b/LLama/Extensions/IModelParamsExtensions.cs index 011f42f90..f1a9dea9d 100644 --- a/LLama/Extensions/IModelParamsExtensions.cs +++ b/LLama/Extensions/IModelParamsExtensions.cs @@ -1,6 +1,6 @@ using System.IO; using System; -using System.Buffers; +using System.Text; using LLama.Abstractions; using LLama.Native; @@ -36,18 +36,44 @@ public static IDisposable ToLlamaModelParams(this IModelParams @params, out LLam result.tensor_split = (float*)disposer.Add(@params.TensorSplits.Pin()).Pointer; } - //todo: MetadataOverrides - //if (@params.MetadataOverrides.Count == 0) - //{ - // unsafe - // { - // result.kv_overrides = (LLamaModelMetadataOverride*)IntPtr.Zero; - // } - //} - //else - //{ - // throw new NotImplementedException("MetadataOverrides"); - //} + if (@params.MetadataOverrides.Count == 0) + { + unsafe + { + result.kv_overrides = (LLamaModelMetadataOverride*)IntPtr.Zero; + } + } + else + { + // Allocate enough space for all the override items + var overrides = new LLamaModelMetadataOverride[@params.MetadataOverrides.Count + 1]; + var overridesPin = overrides.AsMemory().Pin(); + unsafe + { + result.kv_overrides = (LLamaModelMetadataOverride*)disposer.Add(overridesPin).Pointer; + } + + // Convert each item + for (var i = 0; i < @params.MetadataOverrides.Count; i++) + { + var item = @params.MetadataOverrides[i]; + var native = new LLamaModelMetadataOverride(); + + // Init value and tag + item.Write(ref native); + + // Convert key to bytes + unsafe + { + fixed (char* srcKey = item.Key) + { + Encoding.UTF8.GetBytes(srcKey, 0, native.key, 128); + } + } + + overrides[i] = native; + } + } return disposer; } diff --git a/LLama/Native/LLamaModelMetadataOverride.cs b/LLama/Native/LLamaModelMetadataOverride.cs index be5f791e0..7f685edfc 100644 --- a/LLama/Native/LLamaModelMetadataOverride.cs +++ b/LLama/Native/LLamaModelMetadataOverride.cs @@ -12,7 +12,7 @@ public unsafe struct LLamaModelMetadataOverride /// Key to override /// [FieldOffset(0)] - public fixed char key[128]; + public fixed byte key[128]; /// /// Type of value From 2f0deeadcd72acf4b17366ee3d7504251f7aabdf Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Thu, 14 Dec 2023 16:11:31 +0000 Subject: [PATCH 8/9] Implemented serialization for `MetadataOverride`. Deserialization is broken (converter is never called) --- LLama/Abstractions/IModelParams.cs | 64 +++++++++++++++++----- LLama/Extensions/IModelParamsExtensions.cs | 8 ++- 2 files changed, 55 insertions(+), 17 deletions(-) diff --git a/LLama/Abstractions/IModelParams.cs b/LLama/Abstractions/IModelParams.cs index 56b7baee6..fada91a1b 100644 --- a/LLama/Abstractions/IModelParams.cs +++ b/LLama/Abstractions/IModelParams.cs @@ -5,7 +5,6 @@ using System.Linq; using System.Text.Json; using System.Text.Json.Serialization; -using LLama.Common; using LLama.Native; namespace LLama.Abstractions @@ -110,6 +109,7 @@ public override int GetHashCode() } } + /// /// A fixed size array to set the tensor splits across multiple GPUs /// @@ -204,6 +204,7 @@ public override void Write(Utf8JsonWriter writer, TensorSplitsCollection value, } } + /// /// An override for a single key/value pair in model metadata /// @@ -243,57 +244,92 @@ public static MetadataOverride Create(string key, bool value) return new BoolOverride(key, value); } - internal abstract void Write(ref LLamaModelMetadataOverride dest); - /// /// Get the key being overriden by this override /// public abstract string Key { get; init; } + internal abstract LLamaModelKvOverrideType Type { get; } + + internal abstract void WriteValue(ref LLamaModelMetadataOverride dest); + + internal abstract void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options); + private record IntOverride(string Key, int Value) : MetadataOverride { - internal override void Write(ref LLamaModelMetadataOverride dest) + internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT; + + internal override void WriteValue(ref LLamaModelMetadataOverride dest) { - dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT; dest.IntValue = Value; } + + internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) + { + writer.WriteNumberValue(Value); + } } private record FloatOverride(string Key, float Value) : MetadataOverride { - internal override void Write(ref LLamaModelMetadataOverride dest) + internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT; + + internal override void WriteValue(ref LLamaModelMetadataOverride dest) { - dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT; dest.FloatValue = Value; } + + internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) + { + writer.WriteNumberValue(Value); + } } private record BoolOverride(string Key, bool Value) : MetadataOverride { - internal override void Write(ref LLamaModelMetadataOverride dest) + internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL; + + internal override void WriteValue(ref LLamaModelMetadataOverride dest) { - dest.Tag = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL; dest.BoolValue = Value ? -1 : 0; } + + internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) + { + writer.WriteBooleanValue(Value); + } } } + /// + /// A JSON converter for + /// public class MetadataOverrideConverter : JsonConverter { + /// + public override bool CanConvert(Type typeToConvert) + { + return typeof(MetadataOverride).IsAssignableFrom(typeToConvert); + } + /// public override MetadataOverride Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) { - throw new NotImplementedException(); - //var arr = JsonSerializer.Deserialize(ref reader, options) ?? Array.Empty(); - //return new TensorSplitsCollection(arr); + throw new NotImplementedException("for some reason this is never called!"); } /// public override void Write(Utf8JsonWriter writer, MetadataOverride value, JsonSerializerOptions options) { - throw new NotImplementedException(); - //JsonSerializer.Serialize(writer, value.Splits, options); + writer.WriteStartObject(); + { + writer.WriteString("Key", value.Key); + writer.WriteNumber("Type", (int)value.Type); + writer.WritePropertyName("Value"); + value.WriteValue(writer, options); + } + writer.WriteEndObject(); } } } \ No newline at end of file diff --git a/LLama/Extensions/IModelParamsExtensions.cs b/LLama/Extensions/IModelParamsExtensions.cs index f1a9dea9d..08805d320 100644 --- a/LLama/Extensions/IModelParamsExtensions.cs +++ b/LLama/Extensions/IModelParamsExtensions.cs @@ -57,10 +57,12 @@ public static IDisposable ToLlamaModelParams(this IModelParams @params, out LLam for (var i = 0; i < @params.MetadataOverrides.Count; i++) { var item = @params.MetadataOverrides[i]; - var native = new LLamaModelMetadataOverride(); + var native = new LLamaModelMetadataOverride + { + Tag = item.Type + }; - // Init value and tag - item.Write(ref native); + item.WriteValue(ref native); // Convert key to bytes unsafe From 199b4418c36bea9a557a747e690aa70479aa1803 Mon Sep 17 00:00:00 2001 From: Martin Evans Date: Thu, 14 Dec 2023 20:24:22 +0000 Subject: [PATCH 9/9] Fixed JSON serialization for ModelParams --- LLama.Unittest/ModelsParamsTests.cs | 51 ++++------- LLama/Abstractions/IModelParams.cs | 126 ++++++++++++++-------------- LLama/Common/ModelParams.cs | 2 +- 3 files changed, 79 insertions(+), 100 deletions(-) diff --git a/LLama.Unittest/ModelsParamsTests.cs b/LLama.Unittest/ModelsParamsTests.cs index f4d4b261c..e52adc41b 100644 --- a/LLama.Unittest/ModelsParamsTests.cs +++ b/LLama.Unittest/ModelsParamsTests.cs @@ -9,6 +9,11 @@ public class ModelsParamsTests [Fact] public void SerializeRoundTripSystemTextJson() { + var options = new JsonSerializerOptions() + { + WriteIndented = true, + }; + var expected = new ModelParams("abc/123") { BatchSize = 17, @@ -18,19 +23,25 @@ public void SerializeRoundTripSystemTextJson() TensorSplits = { [0] = 3 }, MetadataOverrides = { - MetadataOverride.Create("hello", true), - MetadataOverride.Create("world", 17), + new MetadataOverride("hello", true), + new MetadataOverride("world", 17), + new MetadataOverride("cats", 17f), } }; - var json = JsonSerializer.Serialize(expected); - var actual = JsonSerializer.Deserialize(json)!; + var json = JsonSerializer.Serialize(expected, options); + var actual = JsonSerializer.Deserialize(json, options)!; // Cannot compare splits with default equality, check they are sequence equal and then set to null - Assert.Equal((IEnumerable)expected.TensorSplits, expected.TensorSplits); + Assert.True(expected.TensorSplits.SequenceEqual(actual.TensorSplits)); actual.TensorSplits = null!; expected.TensorSplits = null!; + // Cannot compare overrides with default equality, check they are sequence equal and then set to null + Assert.True(expected.MetadataOverrides.SequenceEqual(actual.MetadataOverrides)); + actual.MetadataOverrides = null!; + expected.MetadataOverrides = null!; + // Check encoding is the same var b1 = expected.Encoding.GetBytes("Hello"); var b2 = actual.Encoding.GetBytes("Hello"); @@ -38,35 +49,5 @@ public void SerializeRoundTripSystemTextJson() Assert.Equal(expected, actual); } - - //[Fact] - //public void SerializeRoundTripNewtonsoft() - //{ - // var expected = new ModelParams("abc/123") - // { - // BatchSize = 17, - // ContextSize = 42, - // Seed = 42, - // GpuLayerCount = 111, - // LoraAdapters = - // { - // new("abc", 1), - // new("def", 0) - // }, - // TensorSplits = { [0] = 3 } - // }; - - // var settings = new Newtonsoft.Json.JsonSerializerSettings(); - - // var json = Newtonsoft.Json.JsonConvert.SerializeObject(expected, settings); - // var actual = Newtonsoft.Json.JsonConvert.DeserializeObject(json, settings)!; - - // // Cannot compare splits with default equality, check they are sequence equal and then set to null - // Assert.Equal((IEnumerable)expected.TensorSplits, expected.TensorSplits); - // actual.TensorSplits = null!; - // expected.TensorSplits = null!; - - // Assert.Equal(expected, actual); - //} } } diff --git a/LLama/Abstractions/IModelParams.cs b/LLama/Abstractions/IModelParams.cs index fada91a1b..3b1553d5c 100644 --- a/LLama/Abstractions/IModelParams.cs +++ b/LLama/Abstractions/IModelParams.cs @@ -209,17 +209,29 @@ public override void Write(Utf8JsonWriter writer, TensorSplitsCollection value, /// An override for a single key/value pair in model metadata /// [JsonConverter(typeof(MetadataOverrideConverter))] - public abstract record MetadataOverride + public sealed record MetadataOverride { + /// + /// Get the key being overriden by this override + /// + public string Key { get; init; } + + internal LLamaModelKvOverrideType Type { get; } + + private readonly int _valueInt; + private readonly float _valueFloat; + private readonly bool _valueBool; + /// /// Create a new override for an int key /// /// /// - /// - public static MetadataOverride Create(string key, int value) + public MetadataOverride(string key, int value) { - return new IntOverride(key, value); + Key = key; + _valueInt = value; + Type = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT; } /// @@ -227,10 +239,11 @@ public static MetadataOverride Create(string key, int value) /// /// /// - /// - public static MetadataOverride Create(string key, float value) + public MetadataOverride(string key, float value) { - return new FloatOverride(key, value); + Key = key; + _valueFloat = value; + Type = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT; } /// @@ -238,65 +251,46 @@ public static MetadataOverride Create(string key, float value) /// /// /// - /// - public static MetadataOverride Create(string key, bool value) + public MetadataOverride(string key, bool value) { - return new BoolOverride(key, value); - } - - /// - /// Get the key being overriden by this override - /// - public abstract string Key { get; init; } - - internal abstract LLamaModelKvOverrideType Type { get; } - - internal abstract void WriteValue(ref LLamaModelMetadataOverride dest); - - internal abstract void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options); - - private record IntOverride(string Key, int Value) : MetadataOverride - { - internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT; - - internal override void WriteValue(ref LLamaModelMetadataOverride dest) - { - dest.IntValue = Value; - } - - internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) - { - writer.WriteNumberValue(Value); - } + Key = key; + _valueBool = value; + Type = LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL; } - private record FloatOverride(string Key, float Value) : MetadataOverride + internal void WriteValue(ref LLamaModelMetadataOverride dest) { - internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT; - - internal override void WriteValue(ref LLamaModelMetadataOverride dest) + switch (Type) { - dest.FloatValue = Value; - } - - internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) - { - writer.WriteNumberValue(Value); + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT: + dest.IntValue = _valueInt; + break; + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT: + dest.FloatValue = _valueFloat; + break; + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL: + dest.BoolValue = _valueBool ? -1 : 0; + break; + default: + throw new ArgumentOutOfRangeException(); } } - private record BoolOverride(string Key, bool Value) : MetadataOverride + internal void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) { - internal override LLamaModelKvOverrideType Type => LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL; - - internal override void WriteValue(ref LLamaModelMetadataOverride dest) + switch (Type) { - dest.BoolValue = Value ? -1 : 0; - } - - internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions options) - { - writer.WriteBooleanValue(Value); + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT: + writer.WriteNumberValue(_valueInt); + break; + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT: + writer.WriteNumberValue(_valueFloat); + break; + case LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL: + writer.WriteBooleanValue(_valueBool); + break; + default: + throw new ArgumentOutOfRangeException(); } } } @@ -307,16 +301,18 @@ internal override void WriteValue(Utf8JsonWriter writer, JsonSerializerOptions o public class MetadataOverrideConverter : JsonConverter { - /// - public override bool CanConvert(Type typeToConvert) - { - return typeof(MetadataOverride).IsAssignableFrom(typeToConvert); - } - /// public override MetadataOverride Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) { - throw new NotImplementedException("for some reason this is never called!"); + var ktv = JsonSerializer.Deserialize(ref reader, options)!; + + return ((LLamaModelKvOverrideType)ktv.Type) switch + { + LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_INT => new MetadataOverride(ktv.Key, ktv.Value.GetInt32()), + LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_FLOAT => new MetadataOverride(ktv.Key, ktv.Value.GetSingle()), + LLamaModelKvOverrideType.LLAMA_KV_OVERRIDE_BOOL => new MetadataOverride(ktv.Key, ktv.Value.GetBoolean()), + _ => throw new JsonException(), + }; } /// @@ -324,12 +320,14 @@ public override void Write(Utf8JsonWriter writer, MetadataOverride value, JsonSe { writer.WriteStartObject(); { - writer.WriteString("Key", value.Key); writer.WriteNumber("Type", (int)value.Type); + writer.WriteString("Key", value.Key); writer.WritePropertyName("Value"); value.WriteValue(writer, options); } writer.WriteEndObject(); } + + private record KeyTypeValue(int Type, string Key, JsonElement Value); } } \ No newline at end of file diff --git a/LLama/Common/ModelParams.cs b/LLama/Common/ModelParams.cs index 8ac806a74..b124b84db 100644 --- a/LLama/Common/ModelParams.cs +++ b/LLama/Common/ModelParams.cs @@ -55,7 +55,7 @@ public record ModelParams public TensorSplitsCollection TensorSplits { get; set; } = new(); /// - public List MetadataOverrides { get; } = new(); + public List MetadataOverrides { get; set; } = new(); /// public float? RopeFrequencyBase { get; set; }
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