init

stylegan2/layers/to_rgb.py

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+import tensorflow as tf
+
+from stylegan2.layers.modulated_conv2d import ModulatedConv2D
+from stylegan2.layers.bias_act import BiasAct
+
+
+class ToRGB(tf.keras.layers.Layer):
+    def __init__(self, in_ch, res, **kwargs):
+        super(ToRGB, self).__init__(**kwargs)
+        self.in_ch = in_ch
+        self.res = res
+
+        self.conv = ModulatedConv2D(in_res=res, in_fmaps=in_ch, fmaps=3, kernel=1, up=False, down=False, demodulate=False,
+                                    resample_kernel=None, gain=1.0, lrmul=1.0, fused_modconv=True, name='conv')
+        self.apply_bias = BiasAct(lrmul=1.0, act='linear', name='bias')
+
+    def call(self, inputs, training=None, mask=None):
+        x, w = inputs
+
+        x = self.conv([x, w])
+        x = self.apply_bias(x)
+        return x
+
+    def get_config(self):
+        config = super(ToRGB, self).get_config()
+        config.update({
+            'in_ch': self.in_ch,
+            'res': self.res,
+        })
+        return config