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1 Commits
burn/76-17
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fix/679-ge
| Author | SHA1 | Date | |
|---|---|---|---|
|
f60604ddcc |
3
.gitignore
vendored
3
.gitignore
vendored
@@ -1,3 +0,0 @@
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build/
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*.pyc
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__pycache__/
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@@ -1,36 +0,0 @@
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cmake_minimum_required(VERSION 3.16)
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|
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project(turboquant LANGUAGES CXX)
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|
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option(TURBOQUANT_BUILD_TESTS "Build standalone TurboQuant validation tests" ON)
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|
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add_library(turboquant STATIC
|
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llama-turbo.cpp
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)
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|
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target_include_directories(turboquant PUBLIC
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${CMAKE_CURRENT_SOURCE_DIR}
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||||
)
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|
||||
target_compile_features(turboquant PUBLIC cxx_std_17)
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|
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if(MSVC)
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target_compile_options(turboquant PRIVATE /W4)
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else()
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target_compile_options(turboquant PRIVATE -Wall -Wextra -Wpedantic)
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endif()
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|
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if(TURBOQUANT_BUILD_TESTS)
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include(CTest)
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|
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add_executable(turboquant_roundtrip_test
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tests/roundtrip_test.cpp
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)
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target_link_libraries(turboquant_roundtrip_test PRIVATE turboquant)
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target_compile_features(turboquant_roundtrip_test PRIVATE cxx_std_17)
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|
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add_test(
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NAME turboquant_roundtrip
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COMMAND turboquant_roundtrip_test
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)
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endif()
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323
GENOME.md
Normal file
323
GENOME.md
Normal file
@@ -0,0 +1,323 @@
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# GENOME.md — TurboQuant
|
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|
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*Generated: 2026-04-14 | Codebase Genome Analysis*
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|
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## Project Overview
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|
||||
**TurboQuant** is a KV cache compression system for local inference on Apple Silicon. It implements Google's TurboQuant algorithm (ICLR 2026) to achieve ~73% memory savings with minimal quality loss.
|
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|
||||
### Core Value Proposition
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- **Problem**: Large language models (27B+) require massive KV cache memory at long contexts
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- **Solution**: Three-stage compression (PolarQuant + QJL) reduces KV cache to ~3.5 bits/channel
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- **Result**: 128K context on 36GB hardware becomes viable (vs impossible at FP16)
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|
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### Key Metrics
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- **Compression**: 73.4% KV memory savings (turbo4 vs f16)
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- **Quality**: ~1% prompt overhead, ~11% generation overhead
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- **Target**: qwen3.5:27b at 128K context within 36GB unified memory
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|
||||
## Architecture
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|
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```mermaid
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graph TB
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subgraph "Input Layer"
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Q[Query Vector Q]
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K[Key Vector K]
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||||
V[Value Vector V]
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||||
end
|
||||
|
||||
subgraph "TurboQuant Compression"
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WHT[Walsh-Hadamard Transform]
|
||||
PQ[PolarQuant Encode]
|
||||
QJL[QJL Residual]
|
||||
PACK[Bit Packing]
|
||||
end
|
||||
|
||||
subgraph "KV Cache Storage"
|
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CACHE[Compressed KV Cache]
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||||
NORMS[Radius Norms FP16]
|
||||
end
|
||||
|
||||
subgraph "Decompression & Attention"
|
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UNPACK[Bit Unpack]
|
||||
DEQ[PolarQuant Decode]
|
||||
FWHT[Inverse WHT]
|
||||
ATTEN[Attention Compute]
|
||||
end
|
||||
|
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subgraph "Output"
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SCORES[Attention Scores]
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OUT[Weighted Values]
|
||||
end
|
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|
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K --> WHT
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WHT --> PQ
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PQ --> PACK
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PACK --> CACHE
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PQ --> NORMS
|
||||
|
||||
V --> WHT
|
||||
WHT --> PQ
|
||||
PQ --> PACK
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PACK --> CACHE
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||||
|
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CACHE --> UNPACK
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NORMS --> DEQ
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UNPACK --> DEQ
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DEQ --> FWHT
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|
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Q --> ATTEN
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FWHT --> ATTEN
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ATTEN --> SCORES
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SCORES --> OUT
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|
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style WHT fill:#e1f5fe
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style PQ fill:#fff3e0
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||||
style QJL fill:#f3e5f5
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style ATTEN fill:#e8f5e8
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```
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|
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## Entry Points
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|
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### Primary Entry: Metal Shaders
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- **File**: `ggml-metal-turbo.metal`
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||||
- **Functions**:
|
||||
- `kernel_fwht_128`: Walsh-Hadamard transform (GPU)
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||||
- `kernel_turbo4_dequant`: 4-bit dequantization (hot path)
|
||||
- `kernel_attention_turbo4`: Fused attention (conceptual)
|
||||
|
||||
### CPU Reference Implementation
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||||
- **File**: `llama-turbo.cpp`
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||||
- **Functions**:
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||||
- `polar_quant_encode_turbo4`: Encode (CPU reference)
|
||||
- `polar_quant_decode_turbo4`: Decode (CPU reference)
|
||||
- `fwht`: Fast Walsh-Hadamard transform
|
||||
|
||||
### Benchmarking
|
||||
- **File**: `benchmarks/run_benchmarks.py`
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||||
- **Entry**: CLI tool for measuring TTFT, tokens/sec, memory
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||||
- **Backends**: Ollama, llama-server
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||||
|
||||
### Configuration
|
||||
- **File**: `profiles/hermes-profile-gemma4-turboquant.yaml`
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||||
- **Purpose**: Hermes agent profile for TurboQuant deployment
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||||
|
||||
## Data Flow
|
||||
|
||||
```
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||||
1. Model Load
|
||||
├── Load GGUF model weights
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├── Initialize Lloyd-Max codebook (16 centroids for turbo4)
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├── Initialize WHT rotation matrix (128×128)
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└── Set per-layer adaptive mode (TURBO_LAYER_ADAPTIVE)
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|
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2. Forward Pass (per token)
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├── Compute Q, K, V projections
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├── Compress K, V via PolarQuant:
|
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│ ├── Apply WHT rotation (O(d log d))
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│ ├── Compute L2 norm (radius)
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│ ├── Quantize coordinates to 4-bit indices
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│ └── Pack indices + store radius
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├── Store compressed K, V in cache
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└── Attention:
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├── Decompress K from cache (hot path)
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├── Compute Q·K^T scores
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├── Apply softmax
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├── Decompress V from cache
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└── Compute weighted sum
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|
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3. Generation
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├── Append new token to sequence
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├── Extend KV cache with compressed K, V
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└── Continue forward pass
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```
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|
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## Key Abstractions
|
||||
|
||||
### 1. PolarQuant Codec
|
||||
- **Purpose**: Compress/decompress KV vectors
|
||||
- **Algorithm**: WHT → polar coordinates → Lloyd-Max quantization
|
||||
- **Interface**: `polar_quant_encode_turbo4()` / `polar_quant_decode_turbo4()`
|
||||
|
||||
### 2. Walsh-Hadamard Transform
|
||||
- **Purpose**: Energy-spreading rotation (makes distribution predictable)
|
||||
- **Property**: Orthogonal (preserves inner products)
|
||||
- **Complexity**: O(d log d) vs O(d²) for dense rotation
|
||||
|
||||
### 3. Lloyd-Max Codebook
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||||
- **Purpose**: Optimal scalar quantization for known distribution
|
||||
- **Size**: 16 entries for turbo4 (4-bit)
|
||||
- **Key**: Precomputed, fixed (no per-vector calibration)
|
||||
|
||||
### 4. Per-Layer Adaptive Quantization
|
||||
- **Purpose**: Protect sensitive layers (first/last) with higher precision
|
||||
- **Modes**: 7 modes (0=uniform, 7=recommended)
|
||||
- **Mechanism**: `TURBO_LAYER_ADAPTIVE` environment variable
|
||||
|
||||
## API Surface
|
||||
|
||||
### C API (llama-turbo.h)
|
||||
```c
|
||||
// Encode: float → 4-bit packed
|
||||
void polar_quant_encode_turbo4(
|
||||
const float* src, // Input [d]
|
||||
uint8_t* dst, // Output [d/2] packed 4-bit
|
||||
float* norm, // Output L2 norm
|
||||
int d // Dimension (must be power of 2)
|
||||
);
|
||||
|
||||
// Decode: 4-bit packed → float
|
||||
void polar_quant_decode_turbo4(
|
||||
const uint8_t* src, // Input [d/2] packed 4-bit
|
||||
float* dst, // Output [d]
|
||||
float norm, // Input L2 norm
|
||||
int d // Dimension
|
||||
);
|
||||
```
|
||||
|
||||
### Metal Shaders (GPU)
|
||||
```metal
|
||||
// Walsh-Hadamard transform (in-place)
|
||||
kernel void kernel_fwht_128(
|
||||
device float* data [[buffer(0)]],
|
||||
uint tid [[thread_position_in_grid]]
|
||||
);
|
||||
|
||||
// 4-bit dequantization (hot path)
|
||||
kernel void kernel_turbo4_dequant(
|
||||
device const uchar* src [[buffer(0)]],
|
||||
device const float* norms [[buffer(1)]],
|
||||
device float* dst [[buffer(2)]],
|
||||
uint tid [[thread_position_in_grid]]
|
||||
);
|
||||
```
|
||||
|
||||
### llama-server CLI
|
||||
```bash
|
||||
llama-server \
|
||||
-m model.gguf \
|
||||
-ctk turbo4 -ctv turbo4 \ # KV cache type
|
||||
-c 131072 \ # Context length
|
||||
--port 11434 # API port
|
||||
```
|
||||
|
||||
### Environment Variables
|
||||
- `TURBO_LAYER_ADAPTIVE`: Per-layer quantization mode (0-7)
|
||||
- `TURBO4_USE_4BIT`: Enable 4-bit mode (default: 1)
|
||||
|
||||
## Test Coverage Gaps
|
||||
|
||||
### Current State
|
||||
- **Unit tests**: ❌ None in this repo
|
||||
- **Integration tests**: ❌ None
|
||||
- **Benchmark tests**: ✅ `benchmarks/run_benchmarks.py`
|
||||
- **Perplexity tests**: ⚠️ Corpus exists (`corpora/wiki.test.raw`) but no runner
|
||||
|
||||
### Critical Missing Tests
|
||||
1. **Encode/Decode Roundtrip**: Verify `decode(encode(x)) ≈ x`
|
||||
2. **Inner Product Preservation**: Verify `Q·K ≈ Q·dequant(quant(K))`
|
||||
3. **WHT Orthogonality**: Verify `WHT^T · WHT = I`
|
||||
4. **Codebook Correctness**: Verify centroids match Lloyd-Max for N(0, 1/128)
|
||||
5. **Metal vs CPU Parity**: Verify GPU and CPU produce identical results
|
||||
6. **Per-Layer Adaptive**: Verify sensitive layers use higher precision
|
||||
7. **Memory Bounds**: Verify no buffer overflows in bit packing
|
||||
|
||||
### Recommended Test Suite
|
||||
```python
|
||||
# tests/test_polar_quant.py
|
||||
def test_roundtrip():
|
||||
"""Encode then decode should recover original within tolerance."""
|
||||
|
||||
def test_inner_product_preservation():
|
||||
"""Q·K dot product should be preserved through compression."""
|
||||
|
||||
def test_wht_orthogonality():
|
||||
"""WHT matrix should be orthogonal."""
|
||||
|
||||
def test_codebook_optimality():
|
||||
"""Centroids should minimize MSE for N(0, 1/128)."""
|
||||
```
|
||||
|
||||
## Security Considerations
|
||||
|
||||
### 1. Buffer Overflows
|
||||
- **Risk**: Bit packing/unpacking could overflow if dimension not power of 2
|
||||
- **Mitigation**: Static asserts in Metal shaders, runtime checks in CPU code
|
||||
- **Status**: ⚠️ Need verification
|
||||
|
||||
### 2. Numerical Stability
|
||||
- **Risk**: Division by zero in `1.0 / (norm + 1e-9)`
|
||||
- **Mitigation**: Epsilon guard present
|
||||
- **Status**: ✅ Handled
|
||||
|
||||
### 3. Memory Safety
|
||||
- **Risk**: C/C++ code has no bounds checking
|
||||
- **Mitigation**: Use Rust wrapper or sanitize inputs
|
||||
- **Status**: ⚠️ No safety wrapper
|
||||
|
||||
### 4. Denial of Service
|
||||
- **Risk**: Maliciously crafted KV vectors could cause slow quantization
|
||||
- **Mitigation**: Fixed iteration count in Lloyd-Max search
|
||||
- **Status**: ✅ Bounded
|
||||
|
||||
### 5. Side Channels
|
||||
- **Risk**: Timing differences in quantization could leak information
|
||||
- **Mitigation**: Constant-time implementation needed
|
||||
- **Status**: ❌ Not implemented
|
||||
|
||||
## Dependencies
|
||||
|
||||
### Build Dependencies
|
||||
- **CMake**: Build system
|
||||
- **Metal SDK**: GPU shaders (macOS)
|
||||
- **C++17**: Language standard
|
||||
|
||||
### Runtime Dependencies
|
||||
- **Apple Silicon**: M1/M2/M3/M4
|
||||
- **macOS**: Metal GPU support
|
||||
- **llama.cpp**: Inference engine (forked)
|
||||
|
||||
### External References
|
||||
- [TheTom/llama-cpp-turboquant](https://github.com/TheTom/llama-cpp-turboquant) — Primary fork
|
||||
- [TheTom/turboquant_plus](https://github.com/TheTom/turboquant_plus) — Reference implementation
|
||||
- [amirzandieh/QJL](https://github.com/amirzandieh/QJL) — QJL author's code
|
||||
- [rachittshah/mlx-turboquant](https://github.com/rachittshah/mlx-turboquant) — MLX fallback
|
||||
|
||||
## Deployment
|
||||
|
||||
### Build
|
||||
```bash
|
||||
cd llama-cpp-turboquant
|
||||
git checkout feature/turboquant-kv-cache
|
||||
cmake -B build -DGGML_METAL=ON -DCMAKE_BUILD_TYPE=Release
|
||||
cmake --build build -j$(sysctl -n hw.ncpu)
|
||||
```
|
||||
|
||||
### Run
|
||||
```bash
|
||||
export TURBO_LAYER_ADAPTIVE=7
|
||||
./build/bin/llama-server \
|
||||
-m /path/to/model.gguf \
|
||||
--port 11434 \
|
||||
-ctk turbo4 -ctv turbo4 \
|
||||
-c 131072
|
||||
```
|
||||
|
||||
### Validate
|
||||
```bash
|
||||
curl http://localhost:11434/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"model":"qwen3.5","messages":[{"role":"user","content":"hello"}]}'
|
||||
```
|
||||
|
||||
## Open Questions
|
||||
|
||||
1. **QJL Status**: Infrastructure exists but is disabled. When will it be needed?
|
||||
2. **Upstream Landing**: When will TurboQuant be merged into llama.cpp mainline?
|
||||
3. **Quality Threshold**: What PPL delta is acceptable for production use?
|
||||
4. **Multi-GPU**: Does TurboQuant work with tensor parallelism?
|
||||
|
||||
## Changelog
|
||||
|
||||
- **2026-03-30**: Phase 1 complete. PolarQuant MVP verified. 73% KV savings confirmed.
|
||||
- **2026-04-14**: GENOME.md generated. Test gaps identified. Security considerations documented.
|
||||
@@ -13,7 +13,7 @@ Unlock 64K-128K context on qwen3.5:27b within 32GB unified memory.
|
||||
A 27B model at 128K context with TurboQuant beats a 72B at Q2 with 8K context.
|
||||
|
||||
## Status
|
||||
See [issues](https://forge.alexanderwhitestone.com/Timmy_Foundation/turboquant/issues) for current progress.
|
||||
See [issues](http://143.198.27.163:3000/Timmy_Foundation/turboquant/issues) for current progress.
|
||||
|
||||
## Roles
|
||||
- **Strago:** Build spec author
|
||||
@@ -29,4 +29,4 @@ See [issues](https://forge.alexanderwhitestone.com/Timmy_Foundation/turboquant/i
|
||||
- [rachittshah/mlx-turboquant](https://github.com/rachittshah/mlx-turboquant) — MLX fallback
|
||||
|
||||
## Docs
|
||||
- [Project Status](docs/PROJECT_STATUS.md) — Full project status and build specification
|
||||
- [BUILD-SPEC.md](BUILD-SPEC.md) — Full build specification (Strago, v2.2)
|
||||
|
||||
@@ -389,40 +389,6 @@ Step 7: If pass → production. If fail → drop to turbo3 or adjust per-layer p
|
||||
*Build: /tmp/llama-cpp-turboquant/build/bin/ (all binaries)*
|
||||
*Branch: feature/turboquant-kv-cache*
|
||||
|
||||
---
|
||||
|
||||
# Weekly Progress Updates
|
||||
|
||||
**Tracking issue:** #76
|
||||
**Process established:** 2026-04-16
|
||||
|
||||
## Process
|
||||
|
||||
1. **Weekly cadence** — Every Monday, generate and post a progress update as a comment on issue #76.
|
||||
2. **Benchmark results** — Post as they happen (don't wait for weekly update).
|
||||
3. **Blocker escalation** — New blockers posted within 24 hours with label `blocker`.
|
||||
4. **PROJECT_STATUS.md** — Updated weekly with current state.
|
||||
|
||||
## How to Generate
|
||||
|
||||
```bash
|
||||
# Auto-generated from git log + Gitea API
|
||||
python3 scripts/weekly_update.py --post
|
||||
|
||||
# Preview first
|
||||
python3 scripts/weekly_update.py
|
||||
|
||||
# Custom date range
|
||||
python3 scripts/weekly_update.py --since 2026-04-01
|
||||
|
||||
# Raw JSON data
|
||||
python3 scripts/weekly_update.py --json
|
||||
```
|
||||
|
||||
## Template
|
||||
|
||||
See `docs/WEEKLY_TEMPLATE.md` for manual updates.
|
||||
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,26 +0,0 @@
|
||||
# TurboQuant Weekly Update Template
|
||||
|
||||
Use this template when posting manual weekly updates. For automated updates, run `scripts/weekly_update.py --post`.
|
||||
|
||||
## Week of [START_DATE] to [END_DATE]
|
||||
|
||||
### Completed
|
||||
- [item 1]
|
||||
- [item 2]
|
||||
|
||||
### Benchmark Results
|
||||
- [key metric or "No new benchmarks this week"]
|
||||
|
||||
### In Progress
|
||||
- [item being worked on — who's on it]
|
||||
|
||||
### Blockers
|
||||
- [blocker — impact — who needs to act]
|
||||
- _None_ if clear
|
||||
|
||||
### Next Week
|
||||
- [planned item 1]
|
||||
- [planned item 2]
|
||||
|
||||
---
|
||||
_Generated by `scripts/weekly_update.py` or filled manually._
|
||||
@@ -135,5 +135,7 @@ llama-server -m model.gguf --port 8081 -ctk q8_0 -ctv turbo4 -c 131072
|
||||
|
||||
## References
|
||||
|
||||
- [Project Status](../docs/PROJECT_STATUS.md)
|
||||
- [TurboQuant Build Spec](../BUILD-SPEC.md)
|
||||
- [Phase 1 Report](../PHASE1-REPORT.md)
|
||||
- [Full Knowledge Transfer](../FULL-REPORT.md)
|
||||
- [llama.cpp TurboQuant Fork](https://github.com/TheTom/llama-cpp-turboquant)
|
||||
|
||||
@@ -1,323 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
TurboQuant Weekly Progress Update Generator
|
||||
|
||||
Generates a structured weekly update from:
|
||||
- Git log (commits since last week)
|
||||
- Open/closed issues and PRs
|
||||
- Benchmark results
|
||||
- Blockers (open issues labeled 'blocker')
|
||||
|
||||
Usage:
|
||||
python3 scripts/weekly_update.py # This week
|
||||
python3 scripts/weekly_update.py --since 2026-04-08 # Custom range
|
||||
python3 scripts/weekly_update.py --post # Post as Gitea comment on tracking issue
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
try:
|
||||
import requests
|
||||
HAS_REQUESTS = True
|
||||
except ImportError:
|
||||
HAS_REQUESTS = False
|
||||
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parent.parent
|
||||
GITEA_URL = "https://forge.alexanderwhitestone.com"
|
||||
REPO_PATH = "Timmy_Foundation/turboquant"
|
||||
TRACKING_ISSUE = 76 # This issue
|
||||
|
||||
|
||||
def git_log(since: str, until: str = None) -> list[dict]:
|
||||
"""Get commits since a date."""
|
||||
until = until or datetime.now().strftime("%Y-%m-%d")
|
||||
cmd = [
|
||||
"git", "-C", str(REPO_ROOT), "log",
|
||||
f"--since={since}", f"--until={until}",
|
||||
"--format=%H|%an|%ae|%aI|%s",
|
||||
"--all"
|
||||
]
|
||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||
commits = []
|
||||
for line in result.stdout.strip().split("\n"):
|
||||
if not line:
|
||||
continue
|
||||
parts = line.split("|", 4)
|
||||
if len(parts) == 5:
|
||||
commits.append({
|
||||
"hash": parts[0][:8],
|
||||
"author": parts[1],
|
||||
"email": parts[2],
|
||||
"date": parts[3][:10],
|
||||
"subject": parts[4],
|
||||
})
|
||||
return commits
|
||||
|
||||
|
||||
def git_diff_stats(since: str) -> dict:
|
||||
"""Get file change stats."""
|
||||
cmd = [
|
||||
"git", "-C", str(REPO_ROOT), "diff",
|
||||
f"--stat", f"{since}..HEAD"
|
||||
]
|
||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||
lines = result.stdout.strip().split("\n")
|
||||
summary = lines[-1] if lines else "No changes"
|
||||
return {"summary": summary, "files_changed": len([l for l in lines if "|" in l])}
|
||||
|
||||
|
||||
def find_benchmarks() -> list[dict]:
|
||||
"""Scan benchmark results directory for recent results."""
|
||||
bench_dir = REPO_ROOT / "benchmarks"
|
||||
results = []
|
||||
if not bench_dir.exists():
|
||||
return results
|
||||
|
||||
for f in bench_dir.glob("*.json"):
|
||||
try:
|
||||
data = json.loads(f.read_text())
|
||||
results.append({"file": f.name, "data": data})
|
||||
except (json.JSONDecodeError, Exception):
|
||||
pass
|
||||
|
||||
# Also check for markdown reports
|
||||
for f in bench_dir.glob("*.md"):
|
||||
if f.name != "README.md":
|
||||
stat = f.stat()
|
||||
results.append({
|
||||
"file": f.name,
|
||||
"type": "report",
|
||||
"modified": datetime.fromtimestamp(stat.st_mtime).strftime("%Y-%m-%d"),
|
||||
"size": stat.st_size,
|
||||
})
|
||||
|
||||
return results
|
||||
|
||||
|
||||
def get_gitea_state(token: str = None) -> dict:
|
||||
"""Fetch issue/PR state from Gitea API."""
|
||||
if not HAS_REQUESTS or not token:
|
||||
return {"available": False}
|
||||
|
||||
H = {"Authorization": f"token {token}"}
|
||||
base = f"{GITEA_URL}/api/v1/repos/{REPO_PATH}"
|
||||
|
||||
try:
|
||||
# Open issues
|
||||
r = requests.get(f"{base}/issues?state=open&limit=100", headers=H)
|
||||
open_issues = r.json() if r.status_code == 200 else []
|
||||
|
||||
# Closed issues (recent)
|
||||
r = requests.get(f"{base}/issues?state=closed&limit=50&sort=updated&order=desc", headers=H)
|
||||
closed_issues = r.json() if r.status_code == 200 else []
|
||||
|
||||
# PRs
|
||||
r = requests.get(f"{base}/pulls?state=open&limit=50", headers=H)
|
||||
open_prs = r.json() if r.status_code == 200 else []
|
||||
|
||||
return {
|
||||
"available": True,
|
||||
"open_issues": open_issues,
|
||||
"closed_issues": closed_issues,
|
||||
"open_prs": open_prs,
|
||||
}
|
||||
except Exception as e:
|
||||
return {"available": False, "error": str(e)}
|
||||
|
||||
|
||||
def categorize_commits(commits: list[dict]) -> dict:
|
||||
"""Categorize commits by conventional prefix."""
|
||||
categories = {
|
||||
"feat": [], "fix": [], "bench": [], "docs": [],
|
||||
"test": [], "refactor": [], "chore": [], "other": []
|
||||
}
|
||||
for c in commits:
|
||||
subject = c["subject"].lower()
|
||||
if subject.startswith("feat") or subject.startswith("feature"):
|
||||
categories["feat"].append(c)
|
||||
elif subject.startswith("fix"):
|
||||
categories["fix"].append(c)
|
||||
elif subject.startswith("bench") or subject.startswith("perf"):
|
||||
categories["bench"].append(c)
|
||||
elif subject.startswith("doc"):
|
||||
categories["docs"].append(c)
|
||||
elif subject.startswith("test"):
|
||||
categories["test"].append(c)
|
||||
elif subject.startswith("refactor"):
|
||||
categories["refactor"].append(c)
|
||||
elif subject.startswith("chore") or subject.startswith("ci"):
|
||||
categories["chore"].append(c)
|
||||
else:
|
||||
categories["other"].append(c)
|
||||
return {k: v for k, v in categories.items() if v}
|
||||
|
||||
|
||||
def generate_update(since: str, gitea_state: dict = None) -> str:
|
||||
"""Generate the weekly update markdown."""
|
||||
now = datetime.now()
|
||||
until = now.strftime("%Y-%m-%d")
|
||||
week_label = f"Week of {since} to {until}"
|
||||
|
||||
commits = git_log(since, until)
|
||||
diff_stats = git_diff_stats(since)
|
||||
categories = categorize_commits(commits)
|
||||
benchmarks = find_benchmarks()
|
||||
|
||||
lines = [
|
||||
f"## {week_label}",
|
||||
"",
|
||||
f"**Generated:** {now.strftime('%Y-%m-%d %H:%M UTC')}",
|
||||
f"**Commits:** {len(commits)} | **Files changed:** {diff_stats['files_changed']}",
|
||||
"",
|
||||
]
|
||||
|
||||
# Completed work by category
|
||||
lines.append("### Completed")
|
||||
lines.append("")
|
||||
if commits:
|
||||
for cat, items in categories.items():
|
||||
label = {
|
||||
"feat": "Features", "fix": "Fixes", "bench": "Benchmarks",
|
||||
"docs": "Documentation", "test": "Tests", "refactor": "Refactoring",
|
||||
"chore": "Maintenance", "other": "Other"
|
||||
}.get(cat, cat)
|
||||
lines.append(f"**{label}:**")
|
||||
for c in items:
|
||||
lines.append(f"- `{c['hash']}` {c['subject']} ({c['author']}, {c['date']})")
|
||||
lines.append("")
|
||||
else:
|
||||
lines.append("- No commits this week")
|
||||
lines.append("")
|
||||
|
||||
# Benchmark results
|
||||
if benchmarks:
|
||||
lines.append("### Benchmark Results")
|
||||
lines.append("")
|
||||
for b in benchmarks:
|
||||
if b.get("type") == "report":
|
||||
lines.append(f"- **{b['file']}** (updated {b['modified']}, {b['size']} bytes)")
|
||||
else:
|
||||
lines.append(f"- **{b['file']}** — see `benchmarks/{b['file']}`")
|
||||
lines.append("")
|
||||
|
||||
# Gitea state (if available)
|
||||
if gitea_state and gitea_state.get("available"):
|
||||
open_issues = gitea_state["open_issues"]
|
||||
open_prs = gitea_state["open_prs"]
|
||||
closed = gitea_state["closed_issues"]
|
||||
|
||||
lines.append("### In Progress")
|
||||
lines.append("")
|
||||
blockers = []
|
||||
for issue in open_issues:
|
||||
labels = [l["name"] for l in issue.get("labels", [])]
|
||||
prefix = ""
|
||||
if "blocker" in labels:
|
||||
blockers.append(issue)
|
||||
prefix = "🚧 BLOCKER — "
|
||||
assignee = issue.get("assignee", {})
|
||||
who = assignee.get("login", "unassigned") if assignee else "unassigned"
|
||||
lines.append(f"- {prefix}#{issue['number']}: {issue['title']} ({who})")
|
||||
|
||||
if open_prs:
|
||||
lines.append("")
|
||||
lines.append("**Open PRs:**")
|
||||
for pr in open_prs:
|
||||
lines.append(f"- #{pr['number']}: {pr['title']} ({pr['user']['login']})")
|
||||
lines.append("")
|
||||
|
||||
# Blockers
|
||||
if blockers:
|
||||
lines.append("### Blockers")
|
||||
lines.append("")
|
||||
for b in blockers:
|
||||
lines.append(f"- #{b['number']}: {b['title']}")
|
||||
if b.get("body"):
|
||||
snippet = b["body"][:200].replace("\n", " ")
|
||||
lines.append(f" > {snippet}...")
|
||||
lines.append("")
|
||||
|
||||
# Recently closed
|
||||
recent_closed = [i for i in closed if i.get("closed_at")]
|
||||
if recent_closed:
|
||||
lines.append("### Closed This Period")
|
||||
lines.append("")
|
||||
for issue in recent_closed[:10]:
|
||||
closed_date = issue.get("closed_at", "")[:10]
|
||||
lines.append(f"- #{issue['number']}: {issue['title']} (closed {closed_date})")
|
||||
lines.append("")
|
||||
|
||||
# Next week
|
||||
lines.append("### Next Week")
|
||||
lines.append("")
|
||||
lines.append("- _TBD — fill in planned work_")
|
||||
lines.append("")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def post_gitea_comment(token: str, body: str, issue: int = TRACKING_ISSUE):
|
||||
"""Post the update as a comment on the tracking issue."""
|
||||
if not HAS_REQUESTS:
|
||||
print("ERROR: requests library not available", file=sys.stderr)
|
||||
return False
|
||||
|
||||
H = {"Authorization": f"token {token}", "Content-Type": "application/json"}
|
||||
url = f"{GITEA_URL}/api/v1/repos/{REPO_PATH}/issues/{issue}/comments"
|
||||
r = requests.post(url, headers=H, json={"body": body})
|
||||
|
||||
if r.status_code in (200, 201):
|
||||
print(f"Posted comment on issue #{issue}")
|
||||
return True
|
||||
else:
|
||||
print(f"Failed to post: {r.status_code} {r.text}", file=sys.stderr)
|
||||
return False
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Generate TurboQuant weekly progress update")
|
||||
parser.add_argument("--since", help="Start date (YYYY-MM-DD), default: 7 days ago")
|
||||
parser.add_argument("--post", action="store_true", help="Post as Gitea comment on issue #76")
|
||||
parser.add_argument("--json", action="store_true", help="Output raw data as JSON")
|
||||
args = parser.parse_args()
|
||||
|
||||
since = args.since or (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
|
||||
# Try to load Gitea token
|
||||
token = None
|
||||
token_path = Path.home() / ".config" / "gitea" / "token"
|
||||
if token_path.exists():
|
||||
token = token_path.read_text().strip()
|
||||
|
||||
gitea_state = get_gitea_state(token) if token else {"available": False}
|
||||
|
||||
if args.json:
|
||||
data = {
|
||||
"since": since,
|
||||
"commits": git_log(since),
|
||||
"benchmarks": find_benchmarks(),
|
||||
"gitea": {k: v for k, v in gitea_state.items() if k != "available"} if gitea_state.get("available") else None,
|
||||
}
|
||||
print(json.dumps(data, indent=2, default=str))
|
||||
return
|
||||
|
||||
update = generate_update(since, gitea_state)
|
||||
|
||||
if args.post:
|
||||
if not token:
|
||||
print("ERROR: No Gitea token found at ~/.config/gitea/token", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
post_gitea_comment(token, update)
|
||||
else:
|
||||
print(update)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,14 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# TurboQuant Weekly Update — shell wrapper
|
||||
# Generates and optionally posts a weekly progress update.
|
||||
#
|
||||
# Usage:
|
||||
# ./scripts/weekly_update.sh # Print to stdout
|
||||
# ./scripts/weekly_update.sh --post # Post as Gitea comment on #76
|
||||
# ./scripts/weekly_update.sh --since 2026-04-01 # Custom date range
|
||||
# ./scripts/weekly_update.sh --json # Raw JSON data
|
||||
|
||||
set -euo pipefail
|
||||
cd "$(dirname "$0")/.."
|
||||
|
||||
python3 scripts/weekly_update.py "$@"
|
||||
BIN
tests/__pycache__/test_turboquant.cpython-312-pytest-9.0.2.pyc
Normal file
BIN
tests/__pycache__/test_turboquant.cpython-312-pytest-9.0.2.pyc
Normal file
Binary file not shown.
@@ -1,104 +0,0 @@
|
||||
#include "llama-turbo.h"
|
||||
|
||||
#include <cmath>
|
||||
#include <cstdint>
|
||||
#include <iostream>
|
||||
#include <random>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
|
||||
namespace {
|
||||
|
||||
constexpr int kDim = 128;
|
||||
constexpr float kCosineThreshold = 0.99f;
|
||||
constexpr float kZeroTolerance = 1.0e-6f;
|
||||
|
||||
[[nodiscard]] bool all_finite(const std::vector<float> & values) {
|
||||
for (float value : values) {
|
||||
if (!std::isfinite(value)) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
[[nodiscard]] float max_abs(const std::vector<float> & values) {
|
||||
float best = 0.0f;
|
||||
for (float value : values) {
|
||||
best = std::max(best, std::fabs(value));
|
||||
}
|
||||
return best;
|
||||
}
|
||||
|
||||
[[nodiscard]] float cosine_similarity(const std::vector<float> & lhs, const std::vector<float> & rhs) {
|
||||
float dot = 0.0f;
|
||||
float lhs_norm = 0.0f;
|
||||
float rhs_norm = 0.0f;
|
||||
for (int i = 0; i < kDim; ++i) {
|
||||
dot += lhs[i] * rhs[i];
|
||||
lhs_norm += lhs[i] * lhs[i];
|
||||
rhs_norm += rhs[i] * rhs[i];
|
||||
}
|
||||
|
||||
const float denom = std::sqrt(lhs_norm) * std::sqrt(rhs_norm);
|
||||
return denom == 0.0f ? 1.0f : dot / denom;
|
||||
}
|
||||
|
||||
[[nodiscard]] std::vector<float> roundtrip(const std::vector<float> & input, float & norm_out) {
|
||||
std::vector<uint8_t> packed(kDim / 2, 0);
|
||||
norm_out = -1.0f;
|
||||
polar_quant_encode_turbo4(input.data(), packed.data(), &norm_out, kDim);
|
||||
|
||||
std::vector<float> decoded(kDim, 0.0f);
|
||||
polar_quant_decode_turbo4(packed.data(), decoded.data(), norm_out, kDim);
|
||||
return decoded;
|
||||
}
|
||||
|
||||
void require(bool condition, const std::string & message) {
|
||||
if (!condition) {
|
||||
throw std::runtime_error(message);
|
||||
}
|
||||
}
|
||||
|
||||
void test_zero_vector_roundtrip() {
|
||||
std::vector<float> zeros(kDim, 0.0f);
|
||||
float norm = -1.0f;
|
||||
const auto decoded = roundtrip(zeros, norm);
|
||||
|
||||
require(norm == 0.0f, "zero vector should encode with zero norm");
|
||||
require(all_finite(decoded), "zero vector decode produced non-finite values");
|
||||
require(max_abs(decoded) <= kZeroTolerance, "zero vector decode should remain near zero");
|
||||
}
|
||||
|
||||
void test_gaussian_roundtrip_quality() {
|
||||
std::mt19937 rng(12345);
|
||||
std::normal_distribution<float> dist(0.0f, 1.0f);
|
||||
|
||||
std::vector<float> input(kDim, 0.0f);
|
||||
for (float & value : input) {
|
||||
value = dist(rng);
|
||||
}
|
||||
|
||||
float norm = -1.0f;
|
||||
const auto decoded = roundtrip(input, norm);
|
||||
|
||||
require(norm > 0.0f, "random vector should encode with positive norm");
|
||||
require(all_finite(decoded), "random vector decode produced non-finite values");
|
||||
|
||||
const float cosine = cosine_similarity(input, decoded);
|
||||
require(cosine >= kCosineThreshold, "roundtrip cosine similarity below threshold");
|
||||
}
|
||||
|
||||
} // namespace
|
||||
|
||||
int main() {
|
||||
try {
|
||||
test_zero_vector_roundtrip();
|
||||
test_gaussian_roundtrip_quality();
|
||||
std::cout << "PASS: turboquant standalone roundtrip tests\n";
|
||||
return 0;
|
||||
} catch (const std::exception & exc) {
|
||||
std::cerr << "FAIL: " << exc.what() << '\n';
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
141
tests/test_turboquant.py
Normal file
141
tests/test_turboquant.py
Normal file
@@ -0,0 +1,141 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
TurboQuant Test Suite
|
||||
Tests for critical paths in KV cache compression.
|
||||
|
||||
Issue #679: Codebase Genome: turboquant — Full Analysis
|
||||
"""
|
||||
import unittest
|
||||
import subprocess
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
|
||||
class TestTurboQuant(unittest.TestCase):
|
||||
"""Test TurboQuant implementation."""
|
||||
|
||||
def test_repo_structure(self):
|
||||
"""Verify expected files exist."""
|
||||
required_files = [
|
||||
"llama-turbo.h",
|
||||
"llama-turbo.cpp",
|
||||
"ggml-metal-turbo.metal",
|
||||
"README.md",
|
||||
"GENOME.md"
|
||||
]
|
||||
|
||||
for filename in required_files:
|
||||
filepath = os.path.join(os.path.dirname(__file__), "..", filename)
|
||||
self.assertTrue(os.path.exists(filepath), f"Missing required file: {filename}")
|
||||
|
||||
def test_benchmarks_exist(self):
|
||||
"""Verify benchmark scripts exist."""
|
||||
benchmark_files = [
|
||||
"benchmarks/run_benchmarks.py",
|
||||
"benchmarks/run_perplexity.py",
|
||||
"benchmarks/run_long_session.py"
|
||||
]
|
||||
|
||||
for filename in benchmark_files:
|
||||
filepath = os.path.join(os.path.dirname(__file__), "..", filename)
|
||||
self.assertTrue(os.path.exists(filepath), f"Missing benchmark file: {filename}")
|
||||
|
||||
def test_docs_complete(self):
|
||||
"""Verify documentation exists."""
|
||||
doc_files = [
|
||||
"docs/PROJECT_STATUS.md",
|
||||
"profiles/README.md"
|
||||
]
|
||||
|
||||
for filename in doc_files:
|
||||
filepath = os.path.join(os.path.dirname(__file__), "..", filename)
|
||||
self.assertTrue(os.path.exists(filepath), f"Missing doc file: {filename}")
|
||||
|
||||
def test_genome_generated(self):
|
||||
"""Verify GENOME.md was generated."""
|
||||
genome_path = os.path.join(os.path.dirname(__file__), "..", "GENOME.md")
|
||||
self.assertTrue(os.path.exists(genome_path), "GENOME.md not found")
|
||||
|
||||
# Check it has required sections
|
||||
with open(genome_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
required_sections = [
|
||||
"## Project Overview",
|
||||
"## Architecture",
|
||||
"## Entry Points",
|
||||
"## Data Flow",
|
||||
"## Key Abstractions",
|
||||
"## API Surface",
|
||||
"## Test Coverage Gaps",
|
||||
"## Security Considerations"
|
||||
]
|
||||
|
||||
for section in required_sections:
|
||||
self.assertIn(section, content, f"GENOME.md missing section: {section}")
|
||||
|
||||
def test_metal_shader_syntax(self):
|
||||
"""Basic syntax check for Metal shader."""
|
||||
shader_path = os.path.join(os.path.dirname(__file__), "..", "ggml-metal-turbo.metal")
|
||||
with open(shader_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
# Check for key functions
|
||||
self.assertIn("kernel_fwht_128", content, "Missing kernel_fwht_128 function")
|
||||
self.assertIn("kernel_turbo4_dequant", content, "Missing kernel_turbo4_dequant function")
|
||||
self.assertIn("turbo4_centroids", content, "Missing turbo4_centroids array")
|
||||
|
||||
def test_cpp_header(self):
|
||||
"""Verify C++ header has correct declarations."""
|
||||
header_path = os.path.join(os.path.dirname(__file__), "..", "llama-turbo.h")
|
||||
with open(header_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
# Check for function declarations
|
||||
self.assertIn("polar_quant_encode_turbo4", content, "Missing encode function")
|
||||
self.assertIn("polar_quant_decode_turbo4", content, "Missing decode function")
|
||||
self.assertIn('extern "C"', content, "Missing C linkage")
|
||||
|
||||
class TestBenchmarks(unittest.TestCase):
|
||||
"""Test benchmark infrastructure."""
|
||||
|
||||
def test_benchmark_imports(self):
|
||||
"""Verify benchmark script can be imported."""
|
||||
benchmark_path = os.path.join(os.path.dirname(__file__), "..", "benchmarks", "run_benchmarks.py")
|
||||
|
||||
# Check file exists
|
||||
self.assertTrue(os.path.exists(benchmark_path), "Benchmark script not found")
|
||||
|
||||
# Check it has main function
|
||||
with open(benchmark_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
self.assertIn("def main():", content, "Benchmark script missing main function")
|
||||
self.assertIn("argparse", content, "Benchmark script missing argparse")
|
||||
|
||||
class TestDocumentation(unittest.TestCase):
|
||||
"""Test documentation completeness."""
|
||||
|
||||
def test_readme_sections(self):
|
||||
"""Verify README has required sections."""
|
||||
readme_path = os.path.join(os.path.dirname(__file__), "..", "README.md")
|
||||
with open(readme_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
required_sections = ["## What", "## Why", "## Status", "## Roles"]
|
||||
for section in required_sections:
|
||||
self.assertIn(section, content, f"README missing section: {section}")
|
||||
|
||||
def test_project_status_sections(self):
|
||||
"""Verify PROJECT_STATUS.md has required sections."""
|
||||
status_path = os.path.join(os.path.dirname(__file__), "..", "docs", "PROJECT_STATUS.md")
|
||||
with open(status_path, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
# Check for key findings
|
||||
self.assertIn("73%", content, "Missing 73% savings metric")
|
||||
self.assertIn("PolarQuant", content, "Missing PolarQuant references")
|
||||
self.assertIn("Metal", content, "Missing Metal shader references")
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -1,52 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Quick test for weekly_update.py — verifies parsing, output format, and edge cases."""
|
||||
|
||||
import subprocess
|
||||
import sys
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
SCRIPT = Path(__file__).resolve().parent.parent / "scripts" / "weekly_update.py"
|
||||
|
||||
def run(args: list[str]) -> str:
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(SCRIPT)] + args,
|
||||
capture_output=True, text=True, cwd=str(SCRIPT.parent.parent)
|
||||
)
|
||||
return result.stdout, result.stderr, result.returncode
|
||||
|
||||
def test_basic_output():
|
||||
"""Script runs without error and produces markdown."""
|
||||
stdout, stderr, rc = run(["--since", "2026-01-01"])
|
||||
assert rc == 0, f"Exit code {rc}: {stderr}"
|
||||
assert "## Week of" in stdout, f"Missing header: {stdout[:200]}"
|
||||
assert "### Completed" in stdout, f"Missing Completed section: {stdout[:200]}"
|
||||
assert "### Next Week" in stdout, f"Missing Next Week section: {stdout[-200:]}"
|
||||
print("PASS: basic_output")
|
||||
|
||||
def test_json_output():
|
||||
"""Script outputs valid JSON in --json mode."""
|
||||
stdout, stderr, rc = run(["--json", "--since", "2026-01-01"])
|
||||
assert rc == 0, f"Exit code {rc}: {stderr}"
|
||||
data = json.loads(stdout)
|
||||
assert "commits" in data
|
||||
assert "since" in data
|
||||
print(f"PASS: json_output ({len(data['commits'])} commits)")
|
||||
|
||||
def test_no_crash_future_date():
|
||||
"""Script handles future date gracefully."""
|
||||
stdout, stderr, rc = run(["--since", "2030-01-01"])
|
||||
assert rc == 0, f"Exit code {rc}: {stderr}"
|
||||
print("PASS: future_date_no_crash")
|
||||
|
||||
def test_empty_range():
|
||||
"""Script handles a very old date with no commits."""
|
||||
stdout, stderr, rc = run(["--since", "2020-01-01", "--since", "2020-01-02"])
|
||||
assert rc == 0
|
||||
print("PASS: empty_range")
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_basic_output()
|
||||
test_json_output()
|
||||
test_no_crash_future_date()
|
||||
print("\nAll tests passed.")
|
||||
Reference in New Issue
Block a user