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UI Changes:
- Three-panel layout: left (weights), center (canvas), right (activations)
- Left sidebar: clickable weights drop zone, weights info, kernel visualization
- Right sidebar: 4 small activation views + large 4× zoom view
- Controls moved to header (inline with title)
Weights Visualization:
- Dedicated panel in left sidebar with layer buttons
- 1 pixel per weight (was 20px)
- All input channels horizontal, output channels stacked vertically
- Renders to separate canvas (not in activation grid)
Activation Viewer:
- 4 channels in horizontal row (was 2×2 grid)
- Mouse-driven zoom view below (32×32 area at 4× magnification)
- Zoom shows all 4 channels in 2×2 quadrant layout
- Removed activations/weights mode toggle
State Preservation:
- Blend changes preserve selected layer/channel
- Fixed activation view reset bug
Documentation:
- Updated README with new layout and feature descriptions
- Marked implemented features (weights viz, layer viewer)
- Updated size estimates (~22 KB total)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Fixed validation error where staticTex was used for both storage write
(in static compute pass) and texture read (in CNN bind group) within
same command encoder. Now uses layerTextures[0] for reading, which is
the copy destination and safe for read-only access.
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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**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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- Rename 'Static (L0)' → 'Static' (clearer, less confusing)
- Update channel labels: 'R/G/B/D' → 'Ch0 (R)/Ch1 (G)/Ch2 (B)/Ch3 (D)'
- Add 'Layer' prefix in weights table for consistency
- Document layer indexing: Static + Layer 1,2,3... (UI) ↔ weights.layers[0,1,2...]
- Add explanatory notes about 7D input and 4-of-8 channel display
- Create doc/CNN_V2_BINARY_FORMAT.md with complete .bin specification
- Cross-reference spec in CNN_V2.md and CNN_V2_WEB_TOOL.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Features:
- Right sidebar with Layer Visualization (top) and Weights Info (collapsible, bottom)
- Activations mode: 4-channel grayscale views per layer (Static L0 + CNN layers)
- Weights mode: Kernel visualization with 2D canvas rendering
- Mode tabs to switch between activation and weight inspection
- Per-layer texture storage (separate from ping-pong compute buffers)
- Debug shader modes (UV gradient, raw packed data, unpacked f16)
- Comprehensive logging for diagnostics
Architecture:
- Persistent layerTextures[] for visualization (one per layer)
- Separate computeTextures[] for CNN ping-pong
- copyTextureToTexture after each layer pass
- Canvas recreation on mode switch (2D vs WebGPU context)
- Weight parsing with f16 unpacking and min/max calculation
Known Issues:
- Layer activations show black (texture data empty despite copies)
- Weight kernels not displaying (2D canvas renders not visible)
- Debug mode 10 (UV gradient) works, confirming texture access OK
- Root cause: likely GPU command ordering or texture usage flags
Documentation:
- Added doc/CNN_V2_WEB_TOOL.md with full status, architecture, debug steps
- Detailed issue tracking with investigation notes and next steps
Status: Infrastructure complete, debugging data flow issues.
handoff(Claude): Layer viz black due to empty textures despite copyTextureToTexture.
Weight viz black despite correct canvas setup. Both issues need GPU pipeline audit.
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Implements single-file HTML tool for rapid CNN weight validation:
Features:
- Drag-drop PNG images (whole window) and .bin weights
- Real-time WebGPU compute pipeline (static features + N layers)
- Data-driven execution (reads layer count from binary)
- View modes: CNN output / Original / Diff (×10)
- Blend slider (0.0-1.0) for effect strength
- Console log with timestamps
- Keyboard shortcuts: SPACE (original), D (diff)
Architecture:
- Embedded WGSL shaders (static + compute + display)
- Binary parser for .bin format (header + layer info + f16 weights)
- Persistent textures for view mode switching
- Absolute weight offset calculation (header + layer info skip)
Implementation notes:
- Weight offsets in binary are relative to weights section
- JavaScript precalculates absolute offsets: headerOffsetU32 * 2 + offset
- Matches C++ shader behavior (simple get_weight without offset param)
- Ping-pong textures for multi-layer processing
TODO:
- Side panel: .bin metadata, weight statistics, validation
- Layer inspection: R/G/B/A plane split, intermediate outputs
- Activation heatmaps for debugging
Files:
- tools/cnn_v2_test/index.html (24 KB, 730 lines)
- tools/cnn_v2_test/README.md (usage guide, troubleshooting)
handoff(Claude): CNN v2 HTML testing tool complete, documented TODOs for future enhancements
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