2martens/masterthesis
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Corrected default values for train and run functions

Browse Source 
Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2019-04-17 12:57:26 +02:00
parent d3e212ab32
commit e22de150b0
2 changed files with 16 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
src/twomartens/masterthesis/aae/run.py
View File

@ -39,9 +39,9 @@ tfe = tf.contrib.eager
def run_simple(dataset: tf.data.Dataset, def run_simple(dataset: tf.data.Dataset,
iteration: int, iteration: int,
weights_prefix: str, weights_prefix: str,
channels: int = 1, channels: int = 3,
zsize: int = 32, zsize: int = 64,
batch_size: int = 128, batch_size: int = 16,
verbose: bool = False, verbose: bool = False,
debug: bool = False) -> None: debug: bool = False) -> None:
""" """
@ -53,9 +53,9 @@ def run_simple(dataset: tf.data.Dataset,
dataset: run dataset dataset: run dataset
iteration: identifier for the used training run iteration: identifier for the used training run
weights_prefix: prefix for trained weights directory weights_prefix: prefix for trained weights directory
channels: number of channels in input image (default: 1) channels: number of channels in input image (default: 3)
zsize: size of the intermediary z (default: 32) zsize: size of the intermediary z (default: 64)
batch_size: size of each batch (default: 128) batch_size: size of each batch (default: 16)
verbose: if True training progress is printed to console (default: False) verbose: if True training progress is printed to console (default: False)
debug: if True summaries are collected (default: False) debug: if True summaries are collected (default: False)
""" """

20
src/twomartens/masterthesis/aae/train.py
View File

@ -47,11 +47,11 @@ LOG_FREQUENCY: int = 10
def train_simple(dataset: tf.data.Dataset, def train_simple(dataset: tf.data.Dataset,
iteration: int, iteration: int,
weights_prefix: str, weights_prefix: str,
channels: int = 1, channels: int = 3,
zsize: int = 32, zsize: int = 64,
lr: float = 0.002, lr: float = 0.0001,
train_epoch: int = 80, train_epoch: int = 1,
batch_size: int = 128, batch_size: int = 16,
verbose: bool = False, verbose: bool = False,
debug: bool = False) -> None: debug: bool = False) -> None:
""" """
@ -68,11 +68,11 @@ def train_simple(dataset: tf.data.Dataset,
dataset: train dataset dataset: train dataset
iteration: identifier for the current training run iteration: identifier for the current training run
weights_prefix: prefix for weights directory weights_prefix: prefix for weights directory
channels: number of channels in input image (default: 1) channels: number of channels in input image (default: 3)
zsize: size of the intermediary z (default: 32) zsize: size of the intermediary z (default: 64)
lr: initial learning rate (default: 0.002) lr: initial learning rate (default: 0.0001)
train_epoch: number of epochs to train (default: 80) train_epoch: number of epochs to train (default: 1)
batch_size: size of each batch (default: 128) batch_size: size of each batch (default: 16)
verbose: if True training progress is printed to console (default: False) verbose: if True training progress is printed to console (default: False)
debug: if True summaries are collected (default: False) debug: if True summaries are collected (default: False)
""" """