32b9a39dff878f2e9ff674f514300c64b72f6386,niftynet/network/vae.py,ConvEncoder,layer_op,#ConvEncoder#Any#Any#,297

Before Change

            print(encoders_downsamplers[-1])

        serialise_feature_maps = ReshapeLayer([-1, self.serialised_shape])
        print(serialise_feature_maps)

        // Define the encoding fully-connected layers
        encoders_fc = []
        for i in range(0, len(self.layer_sizes_encoder)):

After Change

                encoders_cnn[i](flow, is_training), is_training)

        // Flatten the feature maps
        flow = tf.reshape(flow, [-1, self.serialised_shape])

        // Fully-connected encoder layers
        for i in range(0, len(self.layer_sizes_encoder)):
            flow = encoders_fc[i](flow, is_training)

Instances