Issue with 05_01_cyclegan_train using TensorFlow 2.0

[braxtonj]

Trying to run CycleGAN to "Paint Like Monet" (I went with Ukiyoe however for the dataset, not Monet) and am running into issues when we save the model. I get the following error during training while executing self.*.save( ... ) inside CycleGAN.save_model (where * is combined, g_BA or g_AB):

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NotImplementedError Traceback (most recent call last) in () 5 , test_B_file = TEST_B_FILE 6 , batch_size=BATCH_SIZE ----> 7 , sample_interval=PRINT_EVERY_N_BATCHES)

10 frames /tensorflow-2.1.0/python3.6/tensorflow_core/python/keras/engine/base_layer.py in get_config(self) 497 # or that get_config has been overridden: 498 if len(extra_args) > 1 and hasattr(self.get_config, '_is_default'): --> 499 raise NotImplementedError('Layers with arguments in __init__ must ' 500 'override get_config.') 501 return config

NotImplementedError: Layers with arguments in __init__ must override get_config.

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Attached is the ipynb file used to train the model (just change *.txt to *.ipynb) 05_02_cyclegan_train_ukiyoe2photo.txt

[huvers]

You can find the solution here: https://stackoverflow.com/questions/50677544/reflection-padding-conv2d

You'll need to add the 'get_config()' super method to the ReflectionPadding2D Class. It worked for me.

[bbaros]

For tensorflow_2 branch, added following code to cycleGAN.py before CycleGAN class definition:

import tensorflow as tf
from tensorflow.keras.layers import Layer

class ReflectionPadding2D(Layer):
    def __init__(self, padding=(1, 1), **kwargs):
        self.padding = tuple(padding)
        self.input_spec = [InputSpec(ndim=4)]
        super(ReflectionPadding2D, self).__init__(**kwargs)

    def compute_output_shape(self, s):
        if s[1] == None:
            return (None, None, None, s[3])
        return (s[0], s[1] + 2 * self.padding[0], s[2] + 2 * self.padding[1], s[3])

    def call(self, x, mask=None):
        w_pad, h_pad = self.padding
        return tf.pad(x, [[0, 0], [h_pad, h_pad], [w_pad, w_pad], [0, 0]], 'REFLECT')

    def get_config(self):
        config = super(ReflectionPadding2D, self).get_config()
        # print(config)
        return config

[grekichi]

You also have to import below.

from tensorflow.keras.layers import InputSpec