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Fixed loss logging

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Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2019-02-08 08:29:01 +01:00
parent 758cdb5520
commit 16e4aaa348
1 changed files with 5 additions and 11 deletions
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16
src/twomartens/masterthesis/aae/train.py
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@ -182,17 +182,11 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
if int(global_step_decoder % log_frequency) == 0:
# log the losses every log frequency batches
summary_ops_v2.scalar('encoder_loss', encoder_loss_avg.result(), step=global_step_enc_dec)
summary_ops_v2.scalar('decoder_loss', decoder_loss_avg.result(), step=global_step_decoder)
summary_ops_v2.scalar('encoder_decoder_loss', enc_dec_loss_avg.result(), step=global_step_enc_dec)
summary_ops_v2.scalar('z_discriminator_loss', zd_loss_avg.result(), step=global_step_zd)
summary_ops_v2.scalar('x_discriminator_loss', xd_loss_avg.result(), step=global_step_xd)
# reset the metrics states
# encoder_loss_avg.init_variables()
# decoder_loss_avg.init_variables()
# enc_dec_loss_avg.init_variables()
# zd_loss_avg.init_variables()
# xd_loss_avg.init_variables()
summary_ops_v2.scalar('encoder_loss', encoder_loss_avg.result(False), step=global_step_enc_dec)
summary_ops_v2.scalar('decoder_loss', decoder_loss_avg.result(False), step=global_step_decoder)
summary_ops_v2.scalar('encoder_decoder_loss', enc_dec_loss_avg.result(False), step=global_step_enc_dec)
summary_ops_v2.scalar('z_discriminator_loss', zd_loss_avg.result(False), step=global_step_zd)
summary_ops_v2.scalar('x_discriminator_loss', xd_loss_avg.result(False), step=global_step_xd)
if int(batch_iteration) == 0:
directory = 'results' + str(inlier_classes[0])