Added names and types to loss metrics
Signed-off-by: Jim Martens <github@2martens.de>
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@ -110,11 +110,11 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
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for epoch in range(train_epoch):
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# define loss variables
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encoder_loss_avg = tfe.metrics.Mean()
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decoder_loss_avg = tfe.metrics.Mean()
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enc_dec_loss_avg = tfe.metrics.Mean()
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zd_loss_avg = tfe.metrics.Mean()
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xd_loss_avg = tfe.metrics.Mean()
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encoder_loss_avg = tfe.metrics.Mean(name='encoder_loss', dtype=tf.float32)
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decoder_loss_avg = tfe.metrics.Mean(name='decoder_loss', dtype=tf.float32)
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enc_dec_loss_avg = tfe.metrics.Mean(name='enc_dec_loss', dtype=tf.float32)
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zd_loss_avg = tfe.metrics.Mean(name='zd_loss', dtype=tf.float32)
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xd_loss_avg = tfe.metrics.Mean(name='xd_loss', dtype=tf.float32)
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epoch_start_time = time.time()
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