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Removed obsolete loss history code

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-02-08 07:01:38 +01:00
parent 4dda663e3b
commit 1041f24b99
1 changed files with 0 additions and 22 deletions
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src/twomartens/masterthesis/aae/train.py
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@ -111,12 +111,6 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
global_step_xd = k.variable(0, dtype=tf.int64) global_step_xd = k.variable(0, dtype=tf.int64)
global_step_zd = k.variable(0, dtype=tf.int64) global_step_zd = k.variable(0, dtype=tf.int64)
encoder_loss_history = []
decoder_loss_history = []
enc_dec_loss_history = []
zd_loss_history = []
xd_loss_history = []
for epoch in range(train_epoch): for epoch in range(train_epoch):
# 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)
@ -213,12 +207,6 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
save_image(comparison.cpu(), save_image(comparison.cpu(),
'results' + str(inlier_classes[0]) + '/reconstruction_' + str(epoch) + '.png', nrow=64) 'results' + str(inlier_classes[0]) + '/reconstruction_' + str(epoch) + '.png', nrow=64)
encoder_loss_history.append(encoder_loss_avg.result())
decoder_loss_history.append(decoder_loss_avg.result())
enc_dec_loss_history.append(enc_dec_loss_avg.result())
xd_loss_history.append(xd_loss_avg.result())
zd_loss_history.append(zd_loss_avg.result())
epoch_end_time = time.time() epoch_end_time = time.time()
per_epoch_time = epoch_end_time - epoch_start_time per_epoch_time = epoch_end_time - epoch_start_time
@ -243,16 +231,6 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
decoder.save_weights("./weights/decoder") decoder.save_weights("./weights/decoder")
z_discriminator.save_weights("./weights/z_discriminator") z_discriminator.save_weights("./weights/z_discriminator")
x_discriminator.save_weights("./weights/x_discriminator") x_discriminator.save_weights("./weights/x_discriminator")
with open("./results0/losses/encoder_loss.txt", "wb") as file:
pickle.dump(encoder_loss_history, file)
with open("./results0/losses/decoder_loss.txt", "wb") as file:
pickle.dump(decoder_loss_history, file)
with open("./results0/losses/enc_dec_loss.txt", "wb") as file:
pickle.dump(enc_dec_loss_history, file)
with open("./results0/losses/xd_loss.txt", "wb") as file:
pickle.dump(xd_loss_history, file)
with open("./results0/losses/zd_loss.txt", "wb") as file:
pickle.dump(zd_loss_history, file)
def train_xdiscriminator_step(x_discriminator: XDiscriminator, decoder: Decoder, def train_xdiscriminator_step(x_discriminator: XDiscriminator, decoder: Decoder,