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-rwxr-xr-xtraining/test_viz_precision.py38
1 files changed, 0 insertions, 38 deletions
diff --git a/training/test_viz_precision.py b/training/test_viz_precision.py
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index 143f4ea..0000000
--- a/training/test_viz_precision.py
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-#!/usr/bin/env python3
-"""Test WebGPU → Canvas → PNG precision loss
-
-Check if bgra8unorm → 2D canvas → PNG loses 2 LSBs.
-"""
-
-import numpy as np
-
-# Simulate WebGPU bgra8unorm conversion
-# Float [0, 1] → uint8 [0, 255]
-
-test_values = [
- 1.0, # Perfect white
- 0.9999, # Near-white
- 254.5/255, # Exactly 254.5
- 253.5/255, # Exactly 253.5
-]
-
-for val in test_values:
- # WebGPU bgra8unorm: round(val * 255)
- gpu_u8 = int(np.round(val * 255))
-
- # Convert back to normalized
- gpu_f32 = gpu_u8 / 255.0
-
- # JavaScript canvas getImageData: uint8
- canvas_u8 = int(np.round(gpu_f32 * 255))
-
- print(f"Input: {val:.6f} → GPU u8: {gpu_u8} → Canvas: {canvas_u8}")
- if canvas_u8 != 255:
- print(f" ⚠️ Lost {255 - canvas_u8} LSBs")
-
-print("\nConclusion:")
-print("If WebGPU stores 1.0 as 255, canvas should read 255.")
-print("If user sees 253, likely:")
-print(" a) Not viewing CNN layer (viewing static features at scale=1.0)")
-print(" b) Value in texture is already 253/255 = 0.9921875")
-print(" c) F16 storage or unpacking issue")