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Add Support for BilinearUpSampling2D Layer for Keras model

See original GitHub issue

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TensorFlow.js version

0.11.6

Browser version

Version 67.0.3396.62 (Official Build) (64-bit)

Describe the problem or feature request

When I import my model in tfjs, I get the error: Error: Unknown layer: BilinearUpSampling2D

Code to reproduce the bug / link to feature request

Issue Analytics

State:
Created 5 years ago
Comments:6 (1 by maintainers)

Top GitHub Comments

1reaction

kylemcdonaldcommented, Jun 17, 2018

BilinearUpSampling2D is not an official layer in Keras.

Here’s are two implementations I found:

Interestingly, neither of them set align_corners=True. From my read of issues like https://github.com/tensorflow/tensorflow/issues/6720 it’s an open question whether the default behavior is desired or not going forward. Another description of this “bug” is provided here https://hackernoon.com/how-tensorflows-tf-image-resize-stole-60-days-of-my-life-aba5eb093f35

The right place to get this function added first would be Keras. That said, if you can convert your model from Keras to straight Tensorflow, then it looks like tfjs already supports bilinear resizing via https://js.tensorflow.org/api/0.11.6/#image.resizeBilinear

0reactions

caisqcommented, Feb 12, 2019

Closing the issue as the layer is still not a standard layer in Keras. Users can implement the custom layer. See example at https://codepen.io/caisq/pen/jdBgwB

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