Ejemplo n.º 1
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def model(config: ml_collections.ConfigDict, **kwargs):
    return pixelcnn.PixelCNNPP(depth=config.n_resnet,
                               features=config.n_feature,
                               logistic_components=config.n_logistic_mix,
                               **kwargs)
Ejemplo n.º 2
0
 def test_pcnn_shape(self):
     x = random.normal(self.rng, (2, 4, 4, 3))
     model = pixelcnn.PixelCNNPP(depth=0, features=2, dropout_p=0)
     out, _ = model.init_with_output(self.rng, x)
     self.assertEqual(out.shape, (2, 4, 4, 100))
Ejemplo n.º 3
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def model(**kwargs):
  return pixelcnn.PixelCNNPP(
      depth=FLAGS.n_resnet, features=FLAGS.n_feature,
      logistic_components=FLAGS.n_logistic_mix, **kwargs)
Ejemplo n.º 4
0
def model(**kwargs):
    return pixelcnn.PixelCNNPP(depth=FLAGS.n_resnet,
                               features=FLAGS.n_feature,
                               **kwargs)