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Reverting inference behavior for BatchNorm #426

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Aug 8, 2019
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Reverting inference behavior for BatchNorm #426

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6 changes: 2 additions & 4 deletions Sources/TensorFlow/Layers/Normalization.swift
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Original file line number Diff line number Diff line change
Expand Up @@ -82,10 +82,8 @@ public struct BatchNorm<Scalar: TensorFlowFloatingPoint>: Layer {
let inv = rsqrt(moments.variance + epsilon) * scale.reshaped(to: moments.variance.shape)
return (input - moments.mean) * inv + offset.reshaped(to: moments.mean.shape)
case .inference:
let scaleShape = runningVariance.value.shape
let offsetShape = runningMean.value.shape
let inv = rsqrt(runningVariance.value + epsilon) * scale.reshaped(to: scaleShape)
return (input - runningMean.value) * inv + offset.reshaped(to: offsetShape)
let inv = rsqrt(runningVariance.value + epsilon) * scale
return (input - runningMean.value) * inv + offset
}
}

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