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-rw-r--r--training/workspaces/main/shaders/cnn/cnn_weights_generated.wgsl158
1 files changed, 0 insertions, 158 deletions
diff --git a/training/workspaces/main/shaders/cnn/cnn_weights_generated.wgsl b/training/workspaces/main/shaders/cnn/cnn_weights_generated.wgsl
deleted file mode 100644
index dae81df..0000000
--- a/training/workspaces/main/shaders/cnn/cnn_weights_generated.wgsl
+++ /dev/null
@@ -1,158 +0,0 @@
-// Auto-generated CNN weights
-// DO NOT EDIT - Generated by train_cnn.py
-
-const rgba_weights_layer0: array<mat4x4<f32>, 9> = array(
- mat4x4<f32>(
- -0.019696, -0.045138, -0.059372,
- 0.113637, -0.026176, -0.204699,
- -0.147723, -0.124720, -0.133641,
- ),
- mat4x4<f32>(
- -0.011820, -0.110039, -0.019111,
- 0.102596, -0.053469, -0.090972,
- -0.106286, 0.062616, -0.211309,
- ),
- mat4x4<f32>(
- 0.169672, -0.188668, 0.097992,
- -0.048049, 0.035012, -0.028287,
- 0.041841, 0.113846, 0.092006,
- ),
- mat4x4<f32>(
- 0.084688, -0.173117, -0.130135,
- 0.125052, 0.070060, -0.072493,
- -0.081996, -0.041021, -0.200688,
- ),
- mat4x4<f32>(
- 0.180550, 0.018555, -0.092889,
- 0.105823, 0.109215, 0.042989,
- -0.116116, 0.115354, 0.044726,
- ),
- mat4x4<f32>(
- 0.069597, -0.156086, -0.116919,
- 0.003641, -0.033090, 0.077686,
- -0.090117, 0.047527, 0.093449,
- ),
- mat4x4<f32>(
- -0.007961, -0.201232, -0.094087,
- 0.041521, -0.001265, -0.164458,
- -0.063295, -0.177367, 0.120887,
- ),
- mat4x4<f32>(
- 0.005358, -0.153663, 0.234817,
- 0.094452, -0.030598, -0.159715,
- -0.025096, 0.010606, -0.151786,
- ),
- mat4x4<f32>(
- 0.035922, 0.039006, -0.073426,
- 0.234309, 0.042990, -0.074330,
- 0.129497, -0.084083, -0.165691,
- )
-);
-
-const coord_weights_layer0 = mat2x4<f32>(
- 0.156995, -0.026005, 0.159550,
- 0.112678, -0.021301, 0.106653
-);
-
-const bias_layer0 = vec4<f32>(0.149566, -0.002723, 0.142744);
-
-const weights_layer1: array<mat4x4<f32>, 9> = array(
- mat4x4<f32>(
- 0.198730, -0.060590, -0.126001,
- 0.018094, 0.099855, 0.043531,
- -0.048028, 0.024975, -0.055560,
- ),
- mat4x4<f32>(
- 0.093012, -0.056168, 0.075685,
- -0.104572, 0.202161, 0.093453,
- 0.008470, 0.190414, -0.121853,
- ),
- mat4x4<f32>(
- 0.157523, -0.278521, 0.267972,
- 0.226318, 0.108021, -0.020615,
- 0.116906, 0.094663, 0.103058,
- ),
- mat4x4<f32>(
- 0.184815, -0.167385, -0.081513,
- 0.167595, 0.147724, -0.034069,
- 0.109272, 0.149283, 0.022741,
- ),
- mat4x4<f32>(
- -0.133319, 0.069405, 0.028862,
- -0.044914, -0.121720, 0.074758,
- 0.150973, 0.086887, 0.193997,
- ),
- mat4x4<f32>(
- 0.123384, -0.157817, -0.053264,
- 0.216874, 0.024062, 0.227470,
- 0.092232, 0.156942, 0.098989,
- ),
- mat4x4<f32>(
- -0.074328, -0.265180, 0.065633,
- 0.033679, 0.175748, 0.178567,
- 0.168913, 0.192317, -0.015507,
- ),
- mat4x4<f32>(
- -0.103567, -0.081663, 0.239707,
- 0.020591, 0.031346, 0.089577,
- -0.040636, 0.061481, 0.215428,
- ),
- mat4x4<f32>(
- 0.103399, -0.291323, 0.220388,
- 0.163876, 0.106383, 0.175615,
- 0.050511, 0.210950, -0.143280,
- )
-);
-
-const bias_layer1 = vec4<f32>(0.273340, 0.183151, 0.057200);
-
-const weights_layer2: array<mat4x4<f32>, 9> = array(
- mat4x4<f32>(
- 0.170688, -0.158379, -0.073057,
- -0.213429, -0.075772, -0.117451,
- -0.265536, -0.066896, 0.185188,
- ),
- mat4x4<f32>(
- 0.061069, -0.267237, -0.057030,
- -0.112682, -0.001723, 0.020779,
- -0.158726, -0.027319, -0.133134,
- ),
- mat4x4<f32>(
- -0.036597, 0.000282, -0.286058,
- -0.056992, 0.129227, 0.037650,
- -0.305341, -0.082011, 0.155333,
- ),
- mat4x4<f32>(
- 0.146811, 0.086471, -0.092652,
- -0.083987, -0.164501, 0.005801,
- -0.108568, 0.079618, 0.011061,
- ),
- mat4x4<f32>(
- 0.008716, -0.174373, 0.038516,
- -0.263207, -0.201249, -0.106428,
- -0.321199, 0.139540, -0.069047,
- ),
- mat4x4<f32>(
- -0.099231, -0.037154, -0.189117,
- 0.014380, 0.102996, 0.068944,
- -0.011073, 0.175106, 0.019059,
- ),
- mat4x4<f32>(
- -0.170030, -0.077528, -0.038504,
- 0.042379, -0.198288, 0.008895,
- -0.144090, -0.129658, 0.215823,
- ),
- mat4x4<f32>(
- -0.082481, -0.160808, -0.279220,
- -0.029358, 0.021159, -0.037080,
- -0.194849, -0.013461, 0.057026,
- ),
- mat4x4<f32>(
- -0.063711, -0.198759, -0.037847,
- -0.049292, -0.222896, -0.067384,
- -0.167766, -0.090320, 0.106986,
- )
-);
-
-const bias_layer2 = vec4<f32>(0.021260, -0.056985, 0.000823);
-