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Improved names of loss metrics

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-02-08 08:30:06 +01:00
parent 16e4aaa348
commit ab52f0feb0
1 changed files with 3 additions and 3 deletions
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src/twomartens/masterthesis/aae/train.py
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@ -120,9 +120,9 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
# define loss variables # define loss variables
encoder_loss_avg = tfe.metrics.Mean(name='encoder_loss', dtype=tf.float32) encoder_loss_avg = tfe.metrics.Mean(name='encoder_loss', dtype=tf.float32)
decoder_loss_avg = tfe.metrics.Mean(name='decoder_loss', dtype=tf.float32) decoder_loss_avg = tfe.metrics.Mean(name='decoder_loss', dtype=tf.float32)
enc_dec_loss_avg = tfe.metrics.Mean(name='enc_dec_loss', dtype=tf.float32) enc_dec_loss_avg = tfe.metrics.Mean(name='encoder_decoder_loss', dtype=tf.float32)
zd_loss_avg = tfe.metrics.Mean(name='zd_loss', dtype=tf.float32) zd_loss_avg = tfe.metrics.Mean(name='z_discriminator_loss', dtype=tf.float32)
xd_loss_avg = tfe.metrics.Mean(name='xd_loss', dtype=tf.float32) xd_loss_avg = tfe.metrics.Mean(name='x_discriminator_loss', dtype=tf.float32)
epoch_start_time = time.time() epoch_start_time = time.time()