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Removed obsolete parameters

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Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2019-03-25 14:33:41 +01:00
parent 6835c284af
commit 8ef7d5f999
1 changed files with 1 additions and 5 deletions
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6
src/twomartens/masterthesis/aae/train.py
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@ -136,7 +136,6 @@ def train_simple(dataset: tf.data.Dataset,
channels: int = 1, channels: int = 1,
zsize: int = 32, zsize: int = 32,
lr: float = 0.002, lr: float = 0.002,
batch_size: int = 128,
train_epoch: int = 80, train_epoch: int = 80,
verbose: bool = True, verbose: bool = True,
early_stopping: bool = False) -> None: early_stopping: bool = False) -> None:
@ -157,7 +156,6 @@ def train_simple(dataset: tf.data.Dataset,
channels: number of channels in input image (default: 1) channels: number of channels in input image (default: 1)
zsize: size of the intermediary z (default: 32) zsize: size of the intermediary z (default: 32)
lr: initial learning rate (default: 0.002) lr: initial learning rate (default: 0.002)
batch_size: the size of each batch (default: 128)
train_epoch: number of epochs to train (default: 80) train_epoch: number of epochs to train (default: 80)
verbose: if True prints train progress info to console (default: True) verbose: if True prints train progress info to console (default: True)
early_stopping: if True the early stopping mechanic is enabled (default: False) early_stopping: if True the early stopping mechanic is enabled (default: False)
@ -174,7 +172,6 @@ def train_simple(dataset: tf.data.Dataset,
""" """
# non-preserved tensors # non-preserved tensors
y_real = K.ones(batch_size)
sample = K.expand_dims(K.expand_dims(K.random_normal((64, zsize)), axis=1), axis=1) sample = K.expand_dims(K.expand_dims(K.random_normal((64, zsize)), axis=1), axis=1)
# non-preserved python variables # non-preserved python variables
@ -221,7 +218,7 @@ def train_simple(dataset: tf.data.Dataset,
for epoch in range(train_epoch - previous_epochs): for epoch in range(train_epoch - previous_epochs):
_epoch = epoch + previous_epochs _epoch = epoch + previous_epochs
outputs = _train_one_epoch_simple(_epoch, dataset, targets_real=y_real, outputs = _train_one_epoch_simple(_epoch, dataset,
verbose=verbose, verbose=verbose,
**checkpointables) **checkpointables)
@ -300,7 +297,6 @@ def train_simple(dataset: tf.data.Dataset,
def _train_one_epoch_simple(epoch: int, def _train_one_epoch_simple(epoch: int,
dataset: tf.data.Dataset, dataset: tf.data.Dataset,
targets_real: tf.Tensor,
verbose: bool, verbose: bool,
learning_rate_var: tf.Variable, learning_rate_var: tf.Variable,
decoder: model.Decoder, decoder: model.Decoder,