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I want to apply to tf.layers.con2d #3

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taki0112 opened this issue Feb 19, 2018 · 1 comment

taki0112 commented Feb 19, 2018

If I want to apply to tf.layers.con2d, what should I do?
I want to put it in the kernel initializer.

for example

    x = tf.layers.conv2d(inputs=x, filters=channels,
                                      kernel_size=kernel, 
                                      kernel_initializer=spectral_normed_weight(),
                                      strides=stride)

Should I just use tf.nn.conv2d... ?

patrikohlsson commented Mar 25, 2018

@taki0112 You could use tf.trainable_variables and find the kernels, then create the spectral normalization ops.

taki0112 closed this as completed

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