Properly created global step
Signed-off-by: Jim Martens <github@2martens.de>
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@ -99,7 +99,7 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
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y_real_z = k.ones(batch_size)
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y_real_z = k.ones(batch_size)
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y_fake_z = k.zeros(batch_size)
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y_fake_z = k.zeros(batch_size)
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sample = k.expand_dims(k.expand_dims(k.random_normal((64, zsize)), axis=1), axis=1)
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sample = k.expand_dims(k.expand_dims(k.random_normal((64, zsize)), axis=1), axis=1)
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global_step = k.variable(0)
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global_step = tf.train.get_or_create_global_step()
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encoder_loss_history = []
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encoder_loss_history = []
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decoder_loss_history = []
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decoder_loss_history = []
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