369afab10deee16ef572c738df083d2e74863e64,niftynet/application/toy_application.py,ToyApplication,connect_data_and_network,#ToyApplication#Any#Any#,43

Before Change

            grads = [grads_d, grads_g]
            gradients_collector.add_to_collection(grads)

        outputs_collector.add_to_collection(
            var=d_loss, name="ave_d_loss", average_over_devices=True,
            collection=CONSOLE)
        outputs_collector.add_to_collection(
            var=g_loss, name="ave_g_loss", average_over_devices=True,
            collection=CONSOLE)

After Change

            collection=TF_SUMMARIES)

        g_mean, g_var = tf.nn.moments(fake_features, axes=[0, 1, 2])
        g_var = tf.sqrt(g_var)
        outputs_collector.add_to_collection(
            var=g_mean, name="mean", average_over_devices=True,
            collection=CONSOLE)
        outputs_collector.add_to_collection(
            var=g_var, name="var", average_over_devices=True,
            collection=CONSOLE)

        outputs_collector.add_to_collection(
            var=g_mean, name="generated_mean", average_over_devices=False,
            collection=TF_SUMMARIES)

Instances