30dfa316d689a232c2e6deaa813827be52aba961,niftynet/network/simulator_gan.py,ImageGenerator,layer_op,#ImageGenerator#Any#Any#Any#Any#,35

Before Change

        sz = [image_size[:-1]]
        keep_prob_ph = 1  // not passed in as a placeholder
        for i in range(4):
            ch.append(round((ch[-1] + conditioning_channels * self.generator_shortcuts[i]) / 2))
            sz = [[int(round(i / 2)) for i in sz[0]]] + sz
        if spatial_rank == 3:
            def resize_func(x, sz):

After Change

    def layer_op(self, random_source, image_size, conditioning, is_training):
        keep_prob_ph = 1  // not passed in as a placeholder
        add_noise = self.noise_channels_per_layer
        if conditioning is not None:
            conditioning_channels = conditioning.get_shape().as_list()[-1]
            conditioning_channels = conditioning_channels + add_noise
        else:
            conditioning_channels = add_noise

        // feature channels design pattern
        ch = [512]
        sz = [image_size[:-1]]
        for i in range(4):
            new_ch = ch[-1] + conditioning_channels * self.with_shortcuts[i]

Instances