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Add explanation of scoped metric definition (#281)

Based on explanation by @lgeiger
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leonoverweel authored and lgeiger committed Oct 8, 2019
1 parent 07b798e commit 934b2f9f3847be7107bdf20d1c77a6ea7b9b1d65
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  1. +7 −0 larq/metrics.py
@@ -1,3 +1,10 @@
"""We add metrics specific to extremely quantized networks using a `scope` rather than
through the `metrics` parameter of `model.compile()`, where most common metrics reside.
This is because, to calculate metrics like the `flip_ratio`, we need a layer's kernel or
activation and not just the `y_true` and `y_pred` that Keras passes to metrics defined
in the usual way.
"""

import tensorflow as tf
from larq import utils
import numpy as np

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