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Uncaught Error: error in conv2dDerInput: depth of input (64) must match input depth for filter32 #281

Description

@calvinlcchen

Nature of issue?

  • [* ] New feature request

Details about the Bug:

To improve the inference performance and support larger input image for style transfer, I try to reduce filter num to 1/4 ,for each layer when training model. ex. initial filter_num to 16 from 32 for 1st conv2d_layer.
Convert to variables, it can't be inferenced sucessfully. it show the error as subject.

Web browser and version: (e.g. Firefox version 65, Chrome version 71.0)

Chrome version 72.0

Operating System: (e.g. MacOS, Windows, Ubuntu)

Windows 10


New feature details:

support lower filter size for style transfer

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