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Complete v1→v2 migration cleanup: rename 29 files (sequence_v2→sequence, effect_v2→effect, 14 effect files, 8 shaders, compiler, docs), update all class names and references across 54 files. Archive v1 timeline. System now uses standard naming with all versioning removed. 30/34 tests passing.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Documentation Changes:
- Rewrote SEQUENCE_v2.md: practical guide focused on actual implementation
- Removed design philosophy, added concrete examples
- Documented all implemented features and current limitations
- Added effect creation templates (standard post-process, 3D with depth)
- 130 lines → 222 lines (expanded with examples)
- Updated EFFECT_WORKFLOW.md for v2
- Changed from v1 Effect/PostProcessEffect to EffectV2
- Updated all steps for v2 workflow (6 steps instead of 8)
- Added complete templates with proper v2 signatures
- Documented common issues and solutions
- Removed v1-specific content
- Archived v1 documentation
- Moved doc/SEQUENCE.md → doc/archive/SEQUENCE_V1.md
- V1 system removed, documentation preserved for reference
Content Focus:
- Quick start examples (simple chain, multi-output, ping-pong)
- Timeline syntax reference with REQUIRED priority modifiers
- Architecture overview (SequenceV2, EffectV2, Node system)
- Compiler features (DAG validation, topological sort, ping-pong detection)
- Practical templates (copy-paste ready)
- Common issues section (build errors, runtime errors)
Status Documentation:
- ✅ Implemented: DAG validation, node aliasing, 7 effects ported
- ❌ Missing: Flatten mode, BPM handling, GetDemoDuration calculation
- TODO: Port remaining effects, implement flatten, update HTML editor
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Phase 4 complete: V1 system removed, v2 fully operational.
Architecture Changes:
- Explicit Node system with typed buffers (u8x4_norm, f32x4, depth24)
- DAG effect routing with multi-input/multi-output support
- Python compiler (seq_compiler_v2.py) with topological sort and ping-pong optimization
- Compile-time node aliasing for framebuffer reuse
V1 Removal (~4KB):
- Deleted effect.h/cc base classes (1.4KB)
- Deleted 19 v1 effect pairs: heptagon, particles, passthrough, gaussian_blur,
solarize, scene1, chroma_aberration, vignette, hybrid_3d, flash_cube,
theme_modulation, fade, flash, circle_mask, rotating_cube, sdf_test,
distort, moving_ellipse, particle_spray (2.7KB)
V2 Effects Ported:
- PassthroughEffectV2, PlaceholderEffectV2
- GaussianBlurEffectV2 (multi-pass with temp nodes)
- HeptagonEffectV2 (scene effect with dummy texture)
- ParticlesEffectV2 (compute + render, format fixed)
- RotatingCubeEffectV2 (3D with depth node)
- Hybrid3DEffectV2 (Renderer3D integration, dummy textures for noise/sky)
Compiler Features:
- DAG validation (cycle detection, connectivity checks)
- Topological sort for execution order
- Ping-pong optimization (aliased node detection)
- Surface-based and encoder-based RenderV2Timeline generation
- init_effect_nodes() automatic generation
Fixes Applied:
- WebGPU binding layout validation (standard v2 post-process layout)
- Surface format mismatch (ctx.format for blit, RGBA8Unorm for framebuffers)
- Depth attachment compatibility (removed forced depth from gpu_create_render_pass)
- Renderer3D texture initialization (created dummy 1x1 white textures)
- ParticlesEffectV2 format (changed from ctx.format to RGBA8Unorm)
- Encoder-based RenderV2Timeline (added missing preprocess() call)
Testing:
- 34/36 tests passing (2 v1-dependent tests disabled)
- demo64k runs successfully (no crashes)
- All seek positions work (--seek 12, --seek 15 validated)
Documentation:
- Updated PROJECT_CONTEXT.md (v2 status, reference to SEQUENCE_v2.md)
- Added completion entry to COMPLETED.md
TODO (Future):
- Port CNN effects to v2
- Implement flatten mode (--flatten code generation)
- Port remaining 10+ effects
- Update HTML timeline editor for v2 (deferred)
handoff(Claude): Sequence v2 migration complete, v1 removed, system operational.
Phase 5 (editor) deferred per user preference.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- Add Node system with typed buffers (u8x4_norm, f32x4, f16x8, depth24)
- Add NodeRegistry with aliasing support for ping-pong optimization
- Add SequenceV2 base class with DAG execution
- Add EffectV2 base class with multi-input/multi-output
- Add comprehensive tests (5 test cases, all passing)
- Corrected FATAL_CHECK usage (checks ERROR conditions, not success)
Phase 1 complete: Core v2 architecture functional.
Next: Phase 2 compiler (seq_compiler_v2.py)
handoff(Claude): Phase 1 foundation complete, all tests passing (35/35)
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Updated remaining references to use CNNv1Effect naming:
- doc/AUXILIARY_TEXTURE_INIT.md
- doc/HOWTO.md (validation note)
- doc/COMPLETED.md (2 references)
All docs now consistently reference CNNv1Effect and cnn_v1_effect.cc
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Renamed files and classes:
- cnn_effect.{h,cc} → cnn_v1_effect.{h,cc}
- CNNEffect → CNNv1Effect
- CNNEffectParams → CNNv1EffectParams
- CNNLayerParams → CNNv1LayerParams
- CNN_EFFECT.md → CNN_V1_EFFECT.md
Updated all references:
- C++ includes and class usage
- CMake source list
- Timeline (workspaces/main/timeline.seq)
- Test file (test_demo_effects.cc)
- Documentation (CLAUDE.md, PROJECT_CONTEXT.md, READMEs)
Tests: 34/34 passing (100%)
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Consolidate CNN v1 (CNNEffect) into dedicated directory:
- C++ effect: src/effects → cnn_v1/src/
- Shaders: workspaces/main/shaders/cnn → cnn_v1/shaders/
- Training: training/train_cnn.py → cnn_v1/training/
- Docs: doc/CNN*.md → cnn_v1/docs/
Updated all references:
- CMake source list
- C++ includes (relative paths: ../../cnn_v1/src/)
- Asset paths (../../cnn_v1/shaders/)
- Documentation cross-references
CNN v1 remains active in timeline. For new work, use CNN v2 with
enhanced features (7D static, storage buffer, sigmoid activation).
Tests: 34/34 passing (100%)
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Move all CNN v2 files to dedicated cnn_v2/ directory to prepare for CNN v3 development. Zero functional changes.
Structure:
- cnn_v2/src/ - C++ effect implementation
- cnn_v2/shaders/ - WGSL shaders (6 files)
- cnn_v2/weights/ - Binary weights (3 files)
- cnn_v2/training/ - Python training scripts (4 files)
- cnn_v2/scripts/ - Shell scripts (train_cnn_v2_full.sh)
- cnn_v2/tools/ - Validation tools (HTML)
- cnn_v2/docs/ - Documentation (4 markdown files)
Changes:
- Update CMake source list to cnn_v2/src/cnn_v2_effect.cc
- Update assets.txt with relative paths to cnn_v2/
- Update includes to ../../cnn_v2/src/cnn_v2_effect.h
- Add PROJECT_ROOT resolution to Python/shell scripts
- Update doc references in HOWTO.md, TODO.md
- Add cnn_v2/README.md
Verification: 34/34 tests passing, demo runs correctly.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Implements Phases 1 & 2 of CMake consolidation plan to improve
incremental build performance and reduce code duplication.
Phase 1: Asset Granularity
- Split asset packing into 4 categories (shaders, audio, models, data)
- Each category generates a stamp file for dependency tracking
- Unified output (assets_data.cc) avoids duplicate symbols
- Changing a single asset category only rebuilds affected targets
- Added demo_add_asset_deps() macro for clean category dependencies
Phase 2: CMake Deduplication
- Extracted COMMON_GPU_EFFECTS (25 files) from duplicated GPU_SOURCES
- Extracted COMMON_3D_FILES (9 files) from duplicated 3D_SOURCES
- Removed library-level asset dependencies (DemoLibraries.cmake)
- Replaced 43 individual add_dependencies() with macro pattern
Impact:
- Incremental builds 3-5× faster for typical asset changes
- -30 lines GPU/3D source duplication
- -43 individual test dependency declarations
- 33/34 tests passing (1 pre-existing AudioEngineTest failure)
Phase 3 (Effect Decoupling): Deferred as TODO
- Would eliminate demo_effects.h hub pattern
- Requires dual-mode implementation (dynamic dev, flat production)
- Not blocking current workflow
Updated Documentation:
- doc/CMAKE_MODULES.md: Added demo_add_asset_deps() docs
- doc/BUILD.md: Documented asset category system
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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WAV dump changes:
- Bypass ring buffer, render directly with synth_render()
- Frame accumulator eliminates truncation errors
- Skip pre-fill and fix seek for WAV dump mode
- Result: No glitches, -150ms drift at 64b (acceptable)
Timeline editor:
- Fix waveform tooltip position calculation
- Increase beat bar visibility (0.5 opacity)
Cleanup:
- Remove all drift debugging code from audio.cc and tracker.cc
Status: Acceptable for now, further investigation needed.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Root cause: audio_render_ahead() over-renders by 366ms per 10s, causing
progressive timing drift in WAV files. Events appear early in viewer.
Findings:
- Renders 11,733 extra frames over 40s (331,533 vs 319,800 expected)
- Ring buffer accumulates excess audio (~19 frames/iteration)
- WAV dump reads exact 533 frames but renders ~552 frames per call
- Results in -180ms drift at 60 beats visible in timeline viewer
Debug changes:
- Added render tracking to audio.cc to measure actual vs expected
- Added drift printf to tracker.cc for kick/snare timing analysis
- Added WAV sample rate detection to timeline viewer
See doc/AUDIO_WAV_DRIFT_BUG.md for complete analysis and proposed fixes.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Expanded HOWTO.md with complete CLI options list and WAV rendering
examples. Updated HEADLESS_MODE.md with new dump-wav options.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- Update CLI parser to use --dump-wav (consistent with other options)
- Add error message and exit for unrecognized options
- Update documentation: HEADLESS_MODE.md, COMPLETED.md, FINAL_STRIP_REPORT.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add RayMarchResult struct and functions for deferred SDF rendering:
- rayMarchWithID() tracks object ID and distance_max
- reconstructPosition(), normalWithID(), shadowWithStoredDistance()
- Pass 1: store geometry data, Pass 2: reuse for shading
Add WGSL style rule: prefer return values over pointers for small structs (≤16 bytes).
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add unified camera system for SDF raymarching effects:
- CameraParams struct (80 bytes): inv_view matrix + FOV/near/far/aspect
- SDFEffect base class: manages camera uniform, provides update_camera() helpers
- camera_common.wgsl: getCameraRay(), position/forward/up/right extractors
- SDFTestEffect: working example with orbiting camera + animated sphere
Refactor effect headers:
- Extract class definitions from demo_effects.h to individual .h files
- Update includes in .cc files to use specific headers
- Cleaner compilation dependencies, faster incremental builds
Documentation:
- Add SDF_EFFECT_GUIDE.md with complete workflow
- Update ARCHITECTURE.md, UNIFORM_BUFFER_GUIDELINES.md
- Update EFFECT_WORKFLOW.md, CONTRIBUTING.md
Tests: 34/34 passing, SDFTestEffect validated
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Implements two tracker realism features:
1. Sample Offset (compile-time):
- Add offset_sec field to NoteParams and Sample structs
- Parse OFFSET parameter in SAMPLE directive
- Apply timing shift during compilation (zero runtime cost)
- Use for attack-heavy samples to align perceived beat
2. Humanization (runtime, deterministic):
- Add humanize_seed, timing_variation_pct, volume_variation_pct to TrackerScore
- Parse HUMANIZE directive with SEED/TIMING/VOLUME params
- Apply per-event RNG jitter using std::minstd_rand
- Deterministic: same seed produces identical output
Both features work in real-time playback and WAV export.
Test file: data/test_humanize.track
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Merge sdf_primitives.wgsl into math/sdf_shapes.wgsl to eliminate
duplication and establish single source of truth for all SDF functions.
Changes:
- Delete common/shaders/sdf_primitives.wgsl (duplicate of math/sdf_shapes.wgsl)
- Add sdBox2D() and sdEllipse() to math/sdf_shapes.wgsl
- Update ellipse.wgsl (main/test) to use #include "math/sdf_shapes"
- Update scene1.wgsl to use math/sdf_shapes instead of sdf_primitives
- Rename asset SHADER_SDF_PRIMITIVES → SHADER_SDF_SHAPES
- Update shader registration and tests
Impact:
- ~60 lines eliminated from ellipse shaders
- Single source for 3D primitives (sphere, box, torus, plane) and 2D (box, ellipse)
- Consistent include path across codebase
All tests passing (34/34).
handoff(Claude): SDF shapes consolidated to math/sdf_shapes.wgsl
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Replace duplicate fullscreen triangle vertex shader code with
#include "render/fullscreen_vs" in 8 workspace shaders. Eliminates
~60 lines of duplication and establishes single source of truth.
Modified shaders:
- circle_mask_compute.wgsl (main/test)
- circle_mask_render.wgsl (main/test)
- ellipse.wgsl (main/test)
- gaussian_blur.wgsl (main/test)
Updated test_shader_assets.cc to validate include directive instead
of inline @vertex keyword for affected shaders.
All tests passing (34/34).
handoff(Claude): Shader modularization - fullscreen_vs consolidated
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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This refactoring improves the project's structure by decoupling visual effects from the core GPU module. All effect implementations have been moved from to a new top-level directory. Shared utilities like , , and have been consolidated into the parent directory.
- **Motivation**: To create a clearer separation of concerns, making the codebase easier to navigate and maintain. This move treats effects as a distinct layer that depends on the core GPU module, rather than being embedded within it.
- **Changes**:
- Created new directory.
- Moved all effect source files (, ) to .
- Moved shared helpers (, , ) to .
- Updated and to reflect the new file locations for all build targets.
- Corrected all directives across the entire codebase (, , ) to point to the new paths.
- Updated all markdown documentation ( files) to ensure file paths and architectural descriptions are accurate.
- Fixed several compiler errors related to incorrect enum casting () that were exposed during cross-compilation for Windows.
- **Verification**:
- The entire project builds successfully for both native and Windows cross-compilation targets.
- All 34 tests pass (Usage
ctest [options]).
- The --- Running Native Build & Tests ---
Configuring with all options enabled (tests + tools)...
--
-- Build Configuration:
-- DEMO_SIZE_OPT: ON
-- DEMO_STRIP_ALL: ON
-- DEMO_FINAL_STRIP: OFF
-- DEMO_STRIP_EXTERNAL_LIBS: OFF
-- DEMO_BUILD_TESTS: ON
-- DEMO_BUILD_TOOLS: ON
-- DEMO_ENABLE_COVERAGE: OFF
-- DEMO_ENABLE_DEBUG_LOGS: OFF
-- DEMO_HEADLESS: OFF
-- DEMO_WORKSPACE: main
--
-- Loaded workspace: Main Demo
-- Timeline: timeline.seq
-- Music: pop_punk_drums.track
-- Assets: assets.txt
-- Using workspace: main
-- Configuring done (0.0s)
-- Generating done (0.1s)
-- Build files have been written to: /Users/skal/demo/build
Building all targets (demo, tests, and tools)...
[ 0%] Built target validate_uniforms_script
[ 1%] Built target procedural
[ 2%] Validating uniform buffer sizes and alignments...
[ 3%] Built target tracker_compiler
[ 4%] Built target test_3d
[ 4%] Built target test_maths
[ 4%] Built target seq_compiler
[ 4%] Built target tracker_compiler_host
[ 5%] Built target asset_packer
[ 5%] Built target test_procedural
[ 6%] Compiling demo sequence from workspace main...
[ 6%] Built target generate_tracker_music
[ 6%] Built target generate_test_demo_music
[ 6%] Compiling test_demo sequence...
Using BPM: 90
Successfully generated timeline with 16 sequences.
Using BPM: 120
Demo end time: 16.000000s
Successfully generated timeline with 1 sequences.
[ 6%] Built target generate_test_demo_timeline
[ 6%] Built target generate_timeline
Validation Warning for 'CommonPostProcessUniforms': Matching WGSL struct not found.
Validation OK for 'FadeParams': Size 16 matches C++ expected size.
Validation OK for 'ThemeModulationParams': Size 16 matches C++ expected size.
Validation OK for 'GaussianBlurParams': Size 8 matches C++ expected size.
Validation OK for 'DistortParams': Size 8 matches C++ expected size.
Validation OK for 'CircleMaskParams': Size 16 matches C++ expected size.
[ 6%] Built target generate_test_assets
[ 7%] Built target generate_demo_assets
[ 7%] Built target validate_uniforms
[ 8%] Built target util
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[ 15%] Built target 3d
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[ 31%] Building CXX object CMakeFiles/gpu.dir/src/gpu/effect.cc.o
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[ 39%] Building CXX object CMakeFiles/gpu.dir/src/effects/heptagon_effect.cc.o
[ 42%] Built target test_wav_dump
[ 44%] Built target test_tracker_timing
[ 44%] Building CXX object CMakeFiles/gpu.dir/src/effects/particles_effect.cc.o
[ 45%] Building CXX object CMakeFiles/gpu.dir/src/effects/passthrough_effect.cc.o
[ 47%] Built target test_variable_tempo
[ 50%] Built target test_audio_engine
[ 52%] Built target test_tracker
[ 52%] Building CXX object CMakeFiles/gpu.dir/src/effects/moving_ellipse_effect.cc.o
[ 52%] Building CXX object CMakeFiles/gpu.dir/src/effects/particle_spray_effect.cc.o
[ 52%] Building CXX object CMakeFiles/gpu.dir/src/effects/gaussian_blur_effect.cc.o
[ 54%] Built target test_spectool
[ 55%] Building CXX object CMakeFiles/gpu.dir/src/effects/solarize_effect.cc.o
[ 55%] Building CXX object CMakeFiles/gpu.dir/src/effects/scene1_effect.cc.o
[ 55%] Building CXX object CMakeFiles/gpu.dir/src/effects/chroma_aberration_effect.cc.o
[ 55%] Building CXX object CMakeFiles/gpu.dir/src/gpu/shaders.cc.o
[ 57%] Building CXX object CMakeFiles/gpu.dir/src/effects/vignette_effect.cc.o
[ 57%] Building CXX object CMakeFiles/gpu.dir/src/gpu/post_process_helper.cc.o
[ 57%] Linking CXX static library libgpu.a
[ 60%] Built target gpu
[ 60%] Linking CXX executable test_uniform_helper
[ 60%] Linking CXX executable test_shader_composer
[ 60%] Building CXX object CMakeFiles/test_sequence.dir/src/tests/assets/test_sequence.cc.o
[ 61%] Linking CXX executable test_noise_functions
[ 62%] Linking CXX executable test_shader_compilation
[ 62%] Building CXX object CMakeFiles/test_demo.dir/src/app/test_demo.cc.o
[ 62%] Building CXX object CMakeFiles/demo64k.dir/src/app/main.cc.o
[ 62%] Building CXX object CMakeFiles/test_3d_render.dir/src/generated/timeline.cc.o
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[ 67%] Building CXX object CMakeFiles/test_mesh.dir/src/generated/timeline.cc.o
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[ 67%] Building CXX object CMakeFiles/test_demo_effects.dir/src/tests/gpu/test_demo_effects.cc.o
[ 67%] Building CXX object CMakeFiles/test_sequence.dir/src/generated/timeline.cc.o
[ 68%] Building CXX object CMakeFiles/test_demo.dir/src/generated/test_demo_timeline.cc.o
[ 68%] Building CXX object CMakeFiles/demo64k.dir/src/generated/timeline.cc.o
[ 68%] Linking CXX executable test_3d_render
[ 68%] Building CXX object CMakeFiles/test_effect_base.dir/src/generated/timeline.cc.o
[ 68%] Linking CXX executable test_3d_physics
[ 68%] Linking CXX executable test_mesh
[ 71%] Built target test_3d_render
[ 71%] Building CXX object CMakeFiles/test_post_process_helper.dir/src/tests/gpu/test_post_process_helper.cc.o
[ 72%] Building CXX object CMakeFiles/test_demo_effects.dir/src/generated/timeline.cc.o
[ 72%] Linking CXX executable test_demo
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[ 81%] Linking CXX executable demo64k
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[ 86%] Linking CXX executable test_post_process_helper
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[ 90%] Built target demo64k
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[ 96%] Built target test_effect_base
[ 96%] Linking CXX executable test_demo_effects
[100%] Built target test_demo_effects
Running test suite...
Test project /Users/skal/demo/build
Start 1: HammingWindowTest
1/34 Test #1: HammingWindowTest ................ Passed 0.00 sec
Start 2: MathUtilsTest
2/34 Test #2: MathUtilsTest .................... Passed 0.00 sec
Start 3: FileWatcherTest
3/34 Test #3: FileWatcherTest .................. Passed 0.00 sec
Start 4: SynthEngineTest
4/34 Test #4: SynthEngineTest .................. Passed 0.00 sec
Start 5: DctTest
5/34 Test #5: DctTest .......................... Passed 0.00 sec
Start 6: FftTest
6/34 Test #6: FftTest .......................... Passed 0.01 sec
Start 7: SpectralBrushTest
7/34 Test #7: SpectralBrushTest ................ Passed 0.01 sec
Start 8: AudioGenTest
8/34 Test #8: AudioGenTest ..................... Passed 0.00 sec
Start 9: AudioBackendTest
9/34 Test #9: AudioBackendTest ................. Passed 0.00 sec
Start 10: SilentBackendTest
10/34 Test #10: SilentBackendTest ................ Passed 0.00 sec
Start 11: MockAudioBackendTest
11/34 Test #11: MockAudioBackendTest ............. Passed 0.00 sec
Start 12: WavDumpBackendTest
12/34 Test #12: WavDumpBackendTest ............... Passed 0.00 sec
Start 13: JitteredAudioBackendTest
13/34 Test #13: JitteredAudioBackendTest ......... Passed 0.00 sec
Start 14: TrackerTimingTest
14/34 Test #14: TrackerTimingTest ................ Passed 0.00 sec
Start 15: VariableTempoTest
15/34 Test #15: VariableTempoTest ................ Passed 0.00 sec
Start 16: TrackerSystemTest
16/34 Test #16: TrackerSystemTest ................ Passed 0.01 sec
Start 17: AudioEngineTest
17/34 Test #17: AudioEngineTest .................. Passed 0.00 sec
Start 18: ShaderAssetValidation
18/34 Test #18: ShaderAssetValidation ............ Passed 0.00 sec
Start 19: ShaderCompilationTest
19/34 Test #19: ShaderCompilationTest ............ Passed 0.02 sec
Start 20: NoiseFunctionsTest
20/34 Test #20: NoiseFunctionsTest ............... Passed 0.01 sec
Start 21: UniformHelperTest
21/34 Test #21: UniformHelperTest ................ Passed 0.00 sec
Start 22: AssetManagerTest
22/34 Test #22: AssetManagerTest ................. Passed 0.01 sec
Start 23: SequenceSystemTest
23/34 Test #23: SequenceSystemTest ............... Passed 0.01 sec
Start 24: ProceduralGenTest
24/34 Test #24: ProceduralGenTest ................ Passed 0.01 sec
Start 25: PhysicsTest
25/34 Test #25: PhysicsTest ...................... Passed 0.01 sec
Start 26: ThreeDSystemTest
26/34 Test #26: ThreeDSystemTest ................. Passed 0.00 sec
Start 27: ShaderComposerTest
27/34 Test #27: ShaderComposerTest ............... Passed 0.01 sec
Start 28: SceneLoaderTest
28/34 Test #28: SceneLoaderTest .................. Passed 0.01 sec
Start 29: EffectBaseTest
29/34 Test #29: EffectBaseTest ................... Passed 0.04 sec
Start 30: DemoEffectsTest
30/34 Test #30: DemoEffectsTest .................. Passed 0.03 sec
Start 31: PostProcessHelperTest
31/34 Test #31: PostProcessHelperTest ............ Passed 0.02 sec
Start 32: TextureManagerTest
32/34 Test #32: TextureManagerTest ............... Passed 0.02 sec
Start 33: GpuProceduralTest
33/34 Test #33: GpuProceduralTest ................ Passed 0.18 sec
Start 34: GpuCompositeTest
34/34 Test #34: GpuCompositeTest ................. Passed 0.20 sec
100% tests passed, 0 tests failed out of 34
Label Time Summary:
3d = 0.01 sec*proc (3 tests)
assets = 0.02 sec*proc (2 tests)
audio = 0.07 sec*proc (15 tests)
gpu = 0.54 sec*proc (11 tests)
util = 0.01 sec*proc (3 tests)
Total Test time (real) = 0.67 sec
Verifying tools compile...
[ 9%] Built target procedural
[ 18%] Built target tracker_compiler_host
[ 18%] Built target tracker_compiler
[ 18%] Built target generate_tracker_music
[ 18%] Built target asset_packer
[ 27%] Built target generate_demo_assets
[ 27%] Built target generate_test_assets
[ 36%] Built target util
[ 81%] Built target audio
[100%] Built target test_spectool
--- Running Windows Cross-Compilation Build ---
Building native tools...
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All checks passed successfully. script completes without errors.
This change streamlines the project's architecture without altering any functionality.
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Adds new helper for common post-process texture pattern (RenderAttachment
| TextureBinding | CopySrc usage). Refactors test_post_process_helper.cc
to use gpu_create_buffer() and gpu_create_post_process_texture(),
eliminating 91 lines of boilerplate.
- New: gpu_create_post_process_texture() in gpu.{h,cc}
- Refactor: test_post_process_helper.cc uses helpers instead of raw WGPU
- Doc: Updated WGPU_HELPERS.md with usage examples
- Verified: All tests passing (test_post_process_helper, test_demo_effects)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Comprehensive documentation for project-specific WGPU helpers (not wgpu-native wrappers).
**Covers:**
- Buffer management (gpu_create_buffer)
- Texture creation (gpu_create_texture_2d, storage textures, mip views)
- Pipeline helpers (compute/render pass creation)
- Cross-platform utilities (gpu_init_color_attachment)
- Test helpers (init_wgpu_with_surface)
**Usage patterns:**
- Effect uniforms setup
- Compute shader dispatch
- Multi-pass rendering
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add texture creation helpers (gpu_create_texture_2d, gpu_create_storage_texture_2d,
gpu_create_mip_view) and extend BindGroupLayoutBuilder with uint_texture and
storage_texture methods.
Refactored files:
- cnn_v2_effect.cc: Use texture helpers (~70% code reduction in create_textures)
- rotating_cube_effect.cc: Use BindGroupLayoutBuilder and texture helpers
- circle_mask_effect.cc: Use BindGroupBuilder
Benefits:
- Improved code readability
- Reduced boilerplate for texture/bind group creation
- Consistent patterns across effects
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- PROJECT_CONTEXT.md: Updated Effects section (sigmoid, stable training)
- TODO.md: Added sigmoid activation to CNN v2 status
- CNN_V2.md: Streamlined (removed outdated issues, updated code examples)
handoff(Claude): Documentation synchronized with sigmoid implementation.
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Fixes training collapse where p1/p2 channels saturate due to gradient
blocking at clamp boundaries. Sigmoid provides smooth [0,1] mapping
with continuous gradients.
Changes:
- Layer 0: clamp(x, 0, 1) → sigmoid(x)
- Final layer: clamp(x, 0, 1) → sigmoid(x)
- Middle layers: ReLU unchanged (already stable)
Updated files:
- training/train_cnn_v2.py: PyTorch model activations
- workspaces/main/shaders/cnn_v2/cnn_v2_compute.wgsl: WGSL shader
- tools/cnn_v2_test/index.html: HTML validation tool
- doc/CNN_V2.md: Documentation
Validation:
- Build clean (no shader errors)
- 34/36 tests pass (2 unrelated script tests fail)
- 10-epoch training: loss 0.153 → 0.088 (good convergence)
- cnn_test processes images successfully
Breaking change: Old checkpoints trained with clamp() incompatible.
Retrain from scratch required.
handoff(Claude): CNN v2 sigmoid activation implemented and validated.
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- HOWTO.md: Document always-save-checkpoint behavior and --quiet flag
- COMPLETED.md: Add milestone entry for Feb 14 CNN v2 fixes
- Details: checkpoint saving, num_layers derivation, output streamlining
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- train_cnn_v2_full.sh: Support custom output path via --output-weights
- Pass weights path to export and validation stages
- Update HOWTO.md: Add rapid debug example (1 layer, 5 epochs)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Fixed bug in gen_identity_weights.py --p47 mode: static features p4-p7
(uv_x, uv_y, sin20_y, bias) are at input channels 8-11, not 4-7.
Weight tensor layout:
- Channels 0-3: Previous layer output (4D RGBA)
- Channels 4-11: Static features (8D: p0-p7)
Static features:
- p0-p3 (channels 4-7): RGB+D from mip level
- p4-p7 (channels 8-11): uv_x, uv_y, sin20_y, bias
Updated:
- training/gen_identity_weights.py: Change weights[i,i+4] to weights[i,i+8]
- workspaces/main/weights/mix_p47.bin: Regenerated (not in repo)
- doc/CNN_V2.md: Add Input Channel Mapping section with full layout table
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Updates --mix mode to use 50-50 weighting to avoid overflow:
- Before: p0+p4, p1+p5, p2+p6, p3+p7
- After: 0.5*p0+0.5*p4, 0.5*p1+0.5*p5, etc
Prevents saturation when blending input with static features.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Adds --p47 flag to output static features directly:
- p4 → ch0 (UV.x)
- p5 → ch1 (UV.y)
- p6 → ch2 (sin encoding)
- p7 → ch3 (bias)
Useful for visualizing static feature generation without input RGBA.
Updated doc/CNN_V2_DEBUG_TOOLS.md with --p47 usage.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Adds --mix flag to blend input channels with static features:
- p0+p4 → p0 (RGBA + UV.x)
- p1+p5 → p1 (RGBA + UV.y)
- p2+p6 → p2 (RGBA + sin encoding)
- p3+p7 → p3 (RGBA + bias)
Useful for debugging static feature contribution in CNN v2.
Updated doc/CNN_V2_DEBUG_TOOLS.md with --mix usage examples.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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When using --weights option:
- Layer count and kernel sizes loaded from binary header
- Warnings shown if --layers or --cnn-version specified
- Help text clarifies precedence order
- Binary weights always take precedence over CLI args
Updated documentation:
- doc/CNN_TEST_TOOL.md: Usage examples with --weights
- doc/HOWTO.md: Runtime weight loading example
handoff(Claude): cnn_test --weights config override
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Layer 0 output is clamped [0,1], does not need 0.5 dimming.
Middle layers (ReLU) keep 0.5 scale for values >1.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add identity weight generator and composited layer save for debugging
HTML/C++ output differences.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Training changes:
- Changed p3 default depth from 0.0 to 1.0 (far plane semantics)
- Extract depth from target alpha channel in both datasets
- Consistent alpha-as-depth across training/validation
Test tool enhancements (cnn_test):
- Added load_depth_from_alpha() for R32Float depth texture
- Fixed bind group layout for UnfilterableFloat sampling
- Added --save-intermediates with per-channel grayscale composites
- Each layer saved as 4x wide PNG (p0-p3 stacked horizontally)
- Global layers_composite.png for vertical layer stack overview
Investigation notes:
- Static features p4-p7 ARE computed and bound correctly
- Sin_20_y pattern visibility difference between tools under investigation
- Binary weights timestamp (Feb 13 20:36) vs HTML tool (Feb 13 22:12)
- Next: Update HTML tool with canonical binary weights
handoff(Claude): HTML tool weights update pending - base64 encoded
canonical weights ready in /tmp/weights_b64.txt for line 392 replacement.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add documentation for DEFAULT_WEIGHTS_B64 constant:
- Current config: 4 layers, mip_level=2
- Update procedure: base64 encode and replace
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Implement full CNN v2 support for offline validation:
- Add --cnn-version flag (1=render pipeline, 2=compute shader)
- Load binary weights from storage buffer (~3-5 KB)
- Static features compute pass (7D: RGBD + UV + sin + bias)
- Dynamic layer count from binary header
- RGBA32Uint texture readback with f16→u8 conversion
- Custom f16 decoder (handles denormals, infinity, NaN)
Status:
- CNN v1: Produces incorrect output (all white)
- CNN v2: ✅ Fully functional, matches CNNv2Effect
Updated docs:
- doc/CNN_TEST_TOOL.md: Architecture, usage, validation workflow
- doc/HOWTO.md: Recommend v2 for validation
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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computation
Add option to compute loss on grayscale (Y = 0.299*R + 0.587*G + 0.114*B) instead of full RGBA channels. Useful for training models that prioritize luminance accuracy over color accuracy.
Changes:
- training/train_cnn_v2.py: Add --grayscale-loss flag and grayscale conversion in loss computation
- scripts/train_cnn_v2_full.sh: Add --grayscale-loss parameter support
- doc/CNN_V2.md: Document grayscale loss in training configuration and checkpoint format
- doc/HOWTO.md: Add usage examples for --grayscale-loss flag
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Expose all hardcoded parameters in train_cnn_v2_full.sh:
- Training: epochs, batch-size, checkpoint-every, kernel-sizes, num-layers, mip-level
- Patches: patch-size, patches-per-image, detector, full-image, image-size
- Directories: input, target, checkpoint-dir, validation-dir
Update --help with organized sections (modes, training, patches, directories).
Update doc/HOWTO.md with usage examples.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Update positional encoding to use vertical coordinate at higher frequency.
Changes:
- train_cnn_v2.py: sin10_x → sin20_y (computed from uv_y)
- cnn_v2_static.wgsl: sin10_x → sin20_y (computed from uv_y)
- index.html: sin10_x → sin20_y (STATIC_SHADER)
- CNN_V2.md: Update feature descriptions and examples
- CNN_V2_BINARY_FORMAT.md: Update static features documentation
Feature vector: [p0, p1, p2, p3, uv_x, uv_y, sin20_y, bias]
Rationale: Higher frequency (20 vs 10) + vertical axis provides better
spatial discrimination for position encoding.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Document future enhancement for arbitrary feature vector layouts.
Proposed feature descriptor in binary format v3:
- Specify feature types, sources, and ordering
- Enable runtime experimentation without shader recompilation
- Examples: [R,G,B,dx,dy,uv_x,bias] or [mip1.r,mip2.g,laplacian,uv_x,sin20_x,bias]
Added TODOs in:
- CNN_V2_BINARY_FORMAT.md: Detailed proposal with struct layout
- CNN_V2.md: Future extensions section
- train_cnn_v2.py: compute_static_features() docstring
- cnn_v2_static.wgsl: Shader header comment
- cnn_v2_effect.cc: Version check comment
Current limitation: Hardcoded [p0,p1,p2,p3,uv_x,uv_y,sin10_x,bias] layout.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Updated documentation to reflect binary format v2 with mip_level field.
Changes:
- CNN_V2_BINARY_FORMAT.md: Document v2 (20-byte header) with mip_level, v1 backward compat
- CNN_V2_WEB_TOOL.md: Document auto-detection of mip_level, UI updates
- CNN_V2.md: Update overview with mip-level feature, training pipeline
Binary format v2:
- Header: 20 bytes (was 16)
- New field: mip_level (u32) at offset 0x10
- Backward compatible: v1 loaders treat as mip_level=0
Documentation complete for full mip-level pipeline integration.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add mip level control for p0-p3 features (0=original, 1=half, 2=quarter, 3=eighth).
Uses pyrDown/pyrUp for proper Gaussian filtering during mip generation.
Changes:
- compute_static_features(): Accept mip_level param, generate mip via cv2 pyramid
- PatchDataset/ImagePairDataset: Pass mip_level to feature computation
- CLI: Add --mip-level arg with choices [0,1,2,3]
- Save mip_level in checkpoint config for tracking
- Doc updates: HOWTO.md and CNN_V2.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Refactoring:
- Extract FULLSCREEN_QUAD_VS shader (reused in mipmap, display, layer viz)
- Add helper methods: getDimensions(), setVideoControlsEnabled()
- Add section headers and improve code organization (~40 lines saved)
- Move Mip Level selector to bottom of left sidebar
- Remove "Features (p0-p3)" panel header
Features:
- Add video loop support (continuous playback)
Documentation:
- Update CNN_V2_WEB_TOOL.md with latest changes
- Document refactoring benefits and code organization
- Update UI layout section with current structure
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- Align layer naming with codebase: Layer 0/1/2 (not Layer 1/2/3)
- Split static features: Static 0-3 (p0-p3) and Static 4-7 (uv,sin,bias)
- Fix Layer 2 not appearing: removed isOutput filter from layerOutputs
- Fix canvas context switching: force clear before recreation
- Disable static buttons in weights mode
- Add ASCII pipeline diagram to CNN_V2.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Specifies sample offset (shift trigger left) and humanization (per-note timing/volume variation) for realistic playback.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Updated CNN_V2.md to document that:
- Model outputs 4 channels (RGBA)
- Training targets preserve alpha from target images
- Loss function compares all 4 channels
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Training:
- train_cnn_v2.py: Accept --kernel-sizes as comma-separated list
- CNNv2 model: Per-layer kernel sizes (e.g., [1,3,5])
- Single value replicates across layers (e.g., "3" → [3,3,3])
Export:
- export_cnn_v2_weights.py: Backward compatible with old checkpoints
- Handles both kernel_size (old) and kernel_sizes (new) format
Documentation:
- CNN_V2.md: Updated code examples and config format
- HOWTO.md: Updated training examples to show comma-separated syntax
Binary format: Already supports per-layer kernel sizes (no changes)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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**Architecture changes:**
- Static features (8D): p0-p3 (parametric) + uv_x, uv_y, sin(10×uv_x), bias
- Input RGBD (4D): fed separately to all layers
- All layers: uniform 12D→4D (4 prev/input + 8 static → 4 output)
- Bias integrated in static features (bias=False in PyTorch)
**Weight calculations:**
- 3 layers × (12 × 3×3 × 4) = 1296 weights
- f16: 2.6 KB (vs old variable arch: ~6.4 KB)
**Updated files:**
*Training (Python):*
- train_cnn_v2.py: Uniform model, takes input_rgbd + static_features
- export_cnn_v2_weights.py: Binary export for storage buffers
- export_cnn_v2_shader.py: Per-layer shader export (debugging)
*Shaders (WGSL):*
- cnn_v2_static.wgsl: p0-p3 parametric features (mips/gradients)
- cnn_v2_compute.wgsl: 12D input, 4D output, vec4 packing
*Tools:*
- HTML tool (cnn_v2_test): Updated for 12D→4D, layer visualization
*Docs:*
- CNN_V2.md: Updated architecture, training, validation sections
- HOWTO.md: Reference HTML tool for validation
*Removed:*
- validate_cnn_v2.sh: Obsolete (used CNN v1 tool)
All code consistent with bias=False (bias in static features as 1.0).
handoff(Claude): CNN v2 architecture finalized and documented
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