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Change keras.layers.Upsampling2D to use new image resizing function (resize_images_v2). The old resizing function has various bugs (for instance, it was not reflection or translation invariant).

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Fixes #29856.

PiperOrigin-RevId: 255296104
This commit is contained in:
Martin Wicke 2019-06-26 17:13:12 -07:00 committed by TensorFlower Gardener
parent bb2a1d3ee8
commit 15f6c30d79
2 changed files with 5 additions and 3 deletions
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6
tensorflow/python/keras/backend.py
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@ -2610,9 +2610,11 @@ def resize_images(x, height_factor, width_factor, data_format,
if data_format == 'channels_first':
x = permute_dimensions(x, [0, 2, 3, 1])
if interpolation == 'nearest':
x = image_ops.resize_nearest_neighbor(x, new_shape)
x = image_ops.resize_images_v2(
x, new_shape, method=image_ops.ResizeMethod.NEAREST_NEIGHBOR)
elif interpolation == 'bilinear':
x = image_ops.resize_bilinear(x, new_shape)
x = image_ops.resize_images_v2(x, new_shape,
method=image_ops.ResizeMethod.BILINEAR)
else:
raise ValueError('interpolation should be one '
'of "nearest" or "bilinear".')

2
tensorflow/python/ops/image_ops_impl.py
View File

@ -1209,7 +1209,7 @@ def resize_images_v2(images,
`tf.image.resize_with_pad`.
When 'antialias' is true, the sampling filter will anti-alias the input image
as well as interpolate. When downsampling an image with [anti-aliasing](
as well as interpolate. When downsampling an image with [anti-aliasing](
https://en.wikipedia.org/wiki/Spatial_anti-aliasing) the sampling filter
kernel is scaled in order to properly anti-alias the input image signal.
'antialias' has no effect when upsampling an image.