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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-11-16 06:06:49 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-11-16 06:11:22 -0800
commit2a3429d702699012425eb3fa9cd2a1d796a14b20 (patch)
tree17dfa435aa94b3768200f0aba16f5409afa38168 /tensorflow/contrib/image
parent2011c2011ae30c3a40801f0543969fa8f373156a (diff)
Add docstring note about .transform() backprop behaviour.
PiperOrigin-RevId: 175955706
Diffstat (limited to 'tensorflow/contrib/image')
-rw-r--r--tensorflow/contrib/image/python/ops/image_ops.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/contrib/image/python/ops/image_ops.py b/tensorflow/contrib/image/python/ops/image_ops.py
index 011ddeaa9a..faedee6f87 100644
--- a/tensorflow/contrib/image/python/ops/image_ops.py
+++ b/tensorflow/contrib/image/python/ops/image_ops.py
@@ -224,7 +224,8 @@ def transform(images, transforms, interpolation="NEAREST", name=None):
`(x, y)` to a transformed *input* point
`(x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k)`,
where `k = c0 x + c1 y + 1`. The transforms are *inverted* compared to
- the transform mapping input points to output points.
+ the transform mapping input points to output points. Note that gradients
+ are not backpropagated into transformation parameters.
interpolation: Interpolation mode. Supported values: "NEAREST", "BILINEAR".
Returns: