diff options
| author | skal <pascal.massimino@gmail.com> | 2026-02-13 23:17:42 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-02-13 23:17:42 +0100 |
| commit | 6fa9ccf86b0bbefb48cefae19d4162115a3d63d3 (patch) | |
| tree | 529f68a33d9e4dcc8e473ed604c0bfb6f6f2704f | |
| parent | f81a30d15e1e7db0492f45a0b9bec6aaa20ae5c2 (diff) | |
CNN v2: Alpha channel depth handling and layer visualization
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>
61 files changed, 21 insertions, 52 deletions
diff --git a/LOG.txt b/LOG.txt deleted file mode 100644 index 50b77ea..0000000 --- a/LOG.txt +++ /dev/null @@ -1,43 +0,0 @@ -=== CNN v2 Complete Training Pipeline === -Input: training/input -Target: training/target_2 -Epochs: 10000 -Checkpoint interval: 500 - -[1/4] Training CNN v2 model... -Training on cpu -Loaded 8 image pairs -Model: [16, 8, 4] channels, [1, 3, 5] kernels, 3456 weights - -Training for 10000 epochs... -Traceback (most recent call last): - File "/Users/skal/demo/training/train_cnn_v2.py", line 217, in <module> - main() - File "/Users/skal/demo/training/train_cnn_v2.py", line 213, in main - train(args) - File "/Users/skal/demo/training/train_cnn_v2.py", line 157, in train - for static_feat, target in dataloader: - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 741, in __next__ - data = self._next_data() - ^^^^^^^^^^^^^^^^^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 801, in _next_data - data = self._dataset_fetcher.fetch(index) # may raise StopIteration - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 57, in fetch - return self.collate_fn(data) - ^^^^^^^^^^^^^^^^^^^^^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py", line 401, in default_collate - return collate(batch, collate_fn_map=default_collate_fn_map) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py", line 214, in collate - return [ - ^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py", line 215, in <listcomp> - collate(samples, collate_fn_map=collate_fn_map) - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py", line 155, in collate - return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py", line 275, in collate_tensor_fn - return torch.stack(batch, 0, out=out) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -RuntimeError: stack expects each tensor to be equal size, but got [8, 376, 626] at entry 0 and [8, 344, 361] at entry 1 diff --git a/checkpoints/checkpoint_epoch_10.pth b/checkpoints/checkpoint_epoch_10.pth Binary files differindex 710315a..d50a6b2 100644 --- a/checkpoints/checkpoint_epoch_10.pth +++ b/checkpoints/checkpoint_epoch_10.pth diff --git a/checkpoints/checkpoint_epoch_100.pth 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a/checkpoints/checkpoint_epoch_90.pth b/checkpoints/checkpoint_epoch_90.pth Binary files differindex 942ce10..6e45e79 100644 --- a/checkpoints/checkpoint_epoch_90.pth +++ b/checkpoints/checkpoint_epoch_90.pth diff --git a/checkpoints/checkpoint_epoch_95.pth b/checkpoints/checkpoint_epoch_95.pth Binary files differindex ea1dffb..0424fdc 100644 --- a/checkpoints/checkpoint_epoch_95.pth +++ b/checkpoints/checkpoint_epoch_95.pth diff --git a/doc/CNN_TEST_TOOL.md b/doc/CNN_TEST_TOOL.md index ee0d9c5..82d5799 100644 --- a/doc/CNN_TEST_TOOL.md +++ b/doc/CNN_TEST_TOOL.md @@ -176,11 +176,12 @@ Compare output.png with training/target_X/img_000.png **CNN v1:** Builds and runs, produces incorrect output (all white). Use CNNEffect in demo for visual validation. -**CNN v2:** ✅ Fully functional. Tested and working. +**CNN v2:** ⚠️ Partially functional. Readback works but output differs from HTML validation tool. - Loads binary weights from `workspaces/main/weights/cnn_v2_weights.bin` - Matches CNNv2Effect architecture -- Produces correct output -- Recommended for validation +- **Known Issue:** Visual output differs from `tools/cnn_v2_test/index.html` despite matching shader code +- Root cause under investigation (weight indexing? texture sampling? activation clamping?) +- Use HTML tool (`tools/cnn_v2_test/index.html`) for accurate validation --- diff --git a/doc/CNN_V2.md b/doc/CNN_V2.md index c827187..577cf9e 100644 --- a/doc/CNN_V2.md +++ b/doc/CNN_V2.md @@ -20,7 +20,13 @@ CNN v2 extends the original CNN post-processing effect with parametric static fe - Binary weight format v2 for runtime loading **Status:** ✅ Complete. Training pipeline functional, validation tools ready, mip-level support integrated. -**TODO:** 8-bit quantization with QAT for 2× size reduction (~1.6 KB) + +**Known Issues:** +- ⚠️ **cnn_test output differs from HTML validation tool** - Visual discrepancy remains after fixing uv_y inversion and Layer 0 activation. Root cause under investigation. Both tools should produce identical output given same weights/input. + +**TODO:** +- 8-bit quantization with QAT for 2× size reduction (~1.6 KB) +- Debug cnn_test vs HTML tool output difference --- diff --git a/layer_0.png b/layer_0.png Binary files differnew file mode 100644 index 0000000..91d3786 --- /dev/null +++ b/layer_0.png diff --git a/layer_1.png b/layer_1.png Binary files differnew file mode 100644 index 0000000..573e96b --- /dev/null +++ b/layer_1.png diff --git a/layer_2.png b/layer_2.png Binary files differnew file mode 100644 index 0000000..73b4f31 --- /dev/null +++ b/layer_2.png diff --git a/layer_3.png b/layer_3.png Binary files differnew file mode 100644 index 0000000..08102bf --- /dev/null +++ b/layer_3.png diff --git a/layers_composite.png b/layers_composite.png Binary files differnew file mode 100644 index 0000000..1838baa --- /dev/null +++ b/layers_composite.png diff --git a/src/gpu/effects/cnn_v2_effect.cc b/src/gpu/effects/cnn_v2_effect.cc index 5e38f13..3985723 100644 --- a/src/gpu/effects/cnn_v2_effect.cc +++ b/src/gpu/effects/cnn_v2_effect.cc @@ -530,6 +530,7 @@ void CNNv2Effect::compute(WGPUCommandEncoder encoder, params.weight_offset = info.weight_offset; params.is_output_layer = (i == layer_info_.size() - 1) ? 1 : 0; params.blend_amount = effective_blend; + params.is_layer_0 = (i == 0) ? 1 : 0; wgpuQueueWriteBuffer(ctx_.queue, layer_params_buffers_[i], 0, ¶ms, sizeof(params)); diff --git a/src/gpu/effects/cnn_v2_effect.h b/src/gpu/effects/cnn_v2_effect.h index 47dedf5..8a2e1b6 100644 --- a/src/gpu/effects/cnn_v2_effect.h +++ b/src/gpu/effects/cnn_v2_effect.h @@ -45,6 +45,7 @@ private: uint32_t weight_offset; uint32_t is_output_layer; float blend_amount; + uint32_t is_layer_0; }; struct StaticFeatureParams { diff --git a/static_features.png b/static_features.png Binary files differnew file mode 100644 index 0000000..306c251 --- /dev/null +++ b/static_features.png diff --git a/training/target_3/img_000.png b/training/target_3/img_000.png Binary files differnew file mode 100644 index 0000000..4af98ef --- /dev/null +++ b/training/target_3/img_000.png diff --git a/training/target_3/img_001.png b/training/target_3/img_001.png Binary files differnew file mode 100644 index 0000000..4b23d2c --- /dev/null +++ b/training/target_3/img_001.png diff --git a/training/target_3/img_002.png b/training/target_3/img_002.png Binary files differnew file mode 100644 index 0000000..7bd6c10 --- /dev/null +++ b/training/target_3/img_002.png diff --git a/training/target_3/img_003.png b/training/target_3/img_003.png Binary files differnew file mode 100644 index 0000000..7d99923 --- /dev/null +++ b/training/target_3/img_003.png diff --git a/training/target_3/img_004.png b/training/target_3/img_004.png Binary files differnew file mode 100644 index 0000000..9a1db32 --- /dev/null +++ b/training/target_3/img_004.png diff --git a/training/target_3/img_005.png b/training/target_3/img_005.png Binary files differnew file mode 100644 index 0000000..cef51f8 --- /dev/null +++ b/training/target_3/img_005.png diff --git a/training/target_3/img_006.png b/training/target_3/img_006.png Binary files differnew file mode 100644 index 0000000..f45d727 --- /dev/null +++ b/training/target_3/img_006.png diff --git a/training/target_3/img_007.png b/training/target_3/img_007.png Binary files differnew file mode 100644 index 0000000..0446ffa --- /dev/null +++ b/training/target_3/img_007.png diff --git a/workspaces/main/shaders/cnn_v2/cnn_v2_compute.wgsl b/workspaces/main/shaders/cnn_v2/cnn_v2_compute.wgsl index 6905e75..4644003 100644 --- a/workspaces/main/shaders/cnn_v2/cnn_v2_compute.wgsl +++ b/workspaces/main/shaders/cnn_v2/cnn_v2_compute.wgsl @@ -11,6 +11,7 @@ struct LayerParams { weight_offset: u32, // Offset in f16 units is_output_layer: u32, // 1 if final layer (sigmoid), 0 otherwise (relu) blend_amount: f32, // [0,1] blend with original + is_layer_0: u32, // 1 if first layer (clamp [0,1]), 0 otherwise } @group(0) @binding(0) var static_features: texture_2d<u32>; // 8D static features (p0-p3 + spatial) @@ -120,11 +121,13 @@ fn main(@builtin(global_invocation_id) id: vec3<u32>) { } } - // Activation + // Activation (matches train_cnn_v2.py) if (is_output) { - output[c] = clamp(sum, 0.0, 1.0); + output[c] = clamp(sum, 0.0, 1.0); // Output layer: clamp [0,1] + } else if (params.is_layer_0 != 0u) { + output[c] = clamp(sum, 0.0, 1.0); // Layer 0: clamp [0,1] } else { - output[c] = max(0.0, sum); // ReLU + output[c] = max(0.0, sum); // Middle layers: ReLU } } diff --git a/workspaces/main/shaders/cnn_v2/cnn_v2_static.wgsl b/workspaces/main/shaders/cnn_v2/cnn_v2_static.wgsl index 35068a2..7b08132 100644 --- a/workspaces/main/shaders/cnn_v2/cnn_v2_static.wgsl +++ b/workspaces/main/shaders/cnn_v2/cnn_v2_static.wgsl @@ -48,9 +48,9 @@ fn main(@builtin(global_invocation_id) id: vec3<u32>) { let p2 = rgba.b; let p3 = textureLoad(depth_tex, coord, 0).r; - // UV coordinates (normalized [0,1], bottom-left origin) + // UV coordinates (normalized [0,1], top-left origin - matches training) let uv_x = f32(coord.x) / f32(dims.x); - let uv_y = 1.0 - (f32(coord.y) / f32(dims.y)); + let uv_y = f32(coord.y) / f32(dims.y); // Multi-frequency position encoding let sin20_y = sin(20.0 * uv_y); |
