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Add a note that stop_gradient in moments does not change the gradient #19609

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Jun 3, 2018
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3 changes: 3 additions & 0 deletions tensorflow/python/ops/nn_impl.py
Original file line number Diff line number Diff line change
Expand Up @@ -689,6 +689,9 @@ def moments(
# Compute true mean while keeping the dims for proper broadcasting.
mean = math_ops.reduce_mean(y, axes, keepdims=True, name="mean")
# sample variance, not unbiased variance
# Note: stop_gradient does not change the gradient that gets
# backpropagated to the mean from the variance calculation,
# because that gradient is zero
variance = math_ops.reduce_mean(
math_ops.squared_difference(y, array_ops.stop_gradient(mean)),
axes,
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