train on template only with mask applied
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-1
@@ -18,7 +18,8 @@ def load_generator(g_params=None, is_g_clone=False, ckpt_dir=None, custom_cuda=T
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}
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test_latent = tf.ones((1, g_params['z_dim']), dtype=tf.float32)
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test_conditions = (tf.ones((1, 72), dtype=tf.float32), tf.ones((1, 11), dtype=tf.float32), tf.ones((1, 3, 512, 256), dtype=tf.float32))
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test_conditions = (tf.ones((1, 72), dtype=tf.float32), tf.ones((1, 11), dtype=tf.float32), tf.ones((1, 3, 512, 256), dtype=tf.float32), tf.ones((1, 512, 256), dtype=tf.float32))
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# test_conditions = (tf.ones((1, 72), dtype=tf.float32), tf.ones((1, 11), dtype=tf.float32), tf.ones((1, 3, 512, 256), dtype=tf.float32))
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# build generator model
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generator = Generator(g_params)
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