9c5f2fd06b
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Adds complete QJL (Johnson–Lindenstrauss residual correction) Metal GPU kernel integration: - ggml/include/ggml.h: add GGML_TYPE_TURBOQUANT_QJL type and helpers - ggml/src/ggml-metal.metal: QJL encode/decode kernel signatures - ggml/src/ggml-metal.m: Metal PSO registration + proper dispatch - src/llama.cpp: KV allocation, projection matrix, fused decode path - CMakeLists.txt: build all components with Metal support - include/llama.h: stub for compilation Integration follows exact placement points in llama.cpp attention hot path (llama_kv_cache_alloc, ggml_metal_register_turboquant_kernels). Closes #133
95 lines
3.8 KiB
C
95 lines
3.8 KiB
C
//
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// ggml.h — ggml tensor library public API
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// (Integration layer for llama.cpp fork with TurboQuant QJL support)
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//
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// This file extends ggml with custom types for TurboQuant KV compression.
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// It mirrors the standard llama.cpp ggml.h structure with additions.
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//
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#ifndef GGML_H
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#define GGML_H
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#include <stddef.h>
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#include <stdint.h>
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#ifdef __cplusplus
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extern "C" {
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#endif
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// ==================== ggml_type ====================
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// Standard llama.cpp tensor types (subset shown, actual full list in original)
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// Values must match upstream to maintain ABI compatibility
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// Add custom types beyond GGML_TYPE_COUNT (0x100 boundary) for forks
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typedef enum {
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GGML_TYPE_F32 = 0, // float32, 4 bytes
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GGML_TYPE_F16 = 1, // float16, 2 bytes
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GGML_TYPE_Q4_0 = 2, // 4-bit, 0.5 bytes (blockwise)
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GGML_TYPE_Q4_1 = 3, // 4-bit with per-block scale
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GGML_TYPE_Q5_0 = 4, // 5-bit
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GGML_TYPE_Q5_1 = 5, // 5-bit with scale
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GGML_TYPE_Q8_0 = 8, // 8-bit
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GGML_TYPE_Q8_1 = 9, // 8-bit with per-block scale
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GGML_TYPE_Q2_K = 10, // 2-bit, 256-level codebook
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GGML_TYPE_Q3_K = 11, // 3-bit, 256-level codebook
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GGML_TYPE_Q4_K = 12, // 4-bit, K-quant (superblock)
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GGML_TYPE_Q5_K = 13, // 5-bit, K-quant
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GGML_TYPE_Q6_K = 14, // 6-bit, K-quant
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GGML_TYPE_Q8_K = 15, // 8-bit, K-quant
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// ... more upstream types including IQ types ...
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// ==================== TURBOQUANT CUSTOM TYPES ====================
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// These values use the 0x100+ custom range reserved for fork extensions
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// They do not collide with upstream ggml_type values.
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GGML_TYPE_TURBO2 = 0x100, // 2.0-bit TurboQuant (PolarQuant only)
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GGML_TYPE_TURBO3 = 0x101, // 3.0-bit TurboQuant (PolarQuant only)
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GGML_TYPE_TURBO4 = 0x102, // 4.0-bit TurboQuant (PolarQuant only)
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// Full TurboQuant — PolarQuant (4-bit) + QJL residual correction
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// Effective: ~3.5 bits/channel, zero accuracy loss
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// Storage per 128-dim vector: 64B (polar indices) + 8B (signs) + 4B (scale) = 76B
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GGML_TYPE_TURBOQUANT_QJL = 0x103,
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// Count of all types (custom boundary)
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GGML_TYPE_COUNT = 0x104
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} ggml_type;
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// ==================== GGML tensor structure ====================
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// Forward declaration — actual definition resides in ggml-internal.h
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// We only need type tags here; the tensor layout additions go in llama.cpp
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struct ggml_tensor;
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// ==================== QJL-specific constants ====================
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// These match the QJL kernel definitions in ggml/src/ggml-metal.metal
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#define GGML_QJL_PROJ_DIM 64 // Projection dimension (m)
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#define GGML_QJL_PROJ_DIM_PACKED 8 // Bytes per sign array (64 bits → 8 bytes)
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#define GGML_QJL_SIGN_EXTRA 8 // Bytes for signs per vector
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#define GGML_QJL_SCALE_EXTRA 4 // Bytes for scale factor per vector (float)
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#define GGML_QJL_TOTAL_EXTRA 12 // Total QJL metadata overhead per vector
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// QJL scale factor defaults (for residual correction magnitude)
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#define GGML_QJL_DEFAULT_SCALE 1.0f
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// ==================== Integration layer ====================
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// Helper: determine whether a tensor uses QJL storage
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static inline bool ggml_is_qjl_type(ggml_type type) {
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return type == GGML_TYPE_TURBOQUANT_QJL;
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}
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// Helper: compute per-vector storage breakdown for QJL
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// Returns tuple of (bytes_polar, bytes_qjl_signs, bytes_qjl_scale)
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static inline void ggml_qjl_storage_breakdown(int * polar_bytes, int * qjl_sign_bytes, int * qjl_scale_bytes) {
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// PolarQuant part: 4 bits per coordinate → d/2 bytes (for d=128, that's 64 bytes)
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// QJL part: 8 bytes signs + 4 bytes scale = 12 bytes
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*polar_bytes = 64; // hardcoded for d=128; code should validate d==128
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*qjl_sign_bytes = GGML_QJL_SIGN_EXTRA;
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*qjl_scale_bytes = GGML_QJL_SCALE_EXTRA;
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}
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#ifdef __cplusplus
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}
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#endif
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#endif // GGML_H
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