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Updated to tf v1.0.1 #6

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Updated to tf v1.0.1 #6

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6 changes: 3 additions & 3 deletions vae.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ def __init__(self, architecture=[], d_hyperparams={}, meta_graph=None,
handles = self._buildGraph()
for handle in handles:
tf.add_to_collection(VAE.RESTORE_KEY, handle)
self.sesh.run(tf.initialize_all_variables())
self.sesh.run(tf.global_variables_initializer())

else: # restore saved model
model_datetime, model_name = os.path.basename(meta_graph).split("_vae_")
Expand All @@ -70,7 +70,7 @@ def __init__(self, architecture=[], d_hyperparams={}, meta_graph=None,
self.cost, self.global_step, self.train_op) = handles

if save_graph_def: # tensorboard
self.logger = tf.train.SummaryWriter(log_dir, self.sesh.graph)
self.logger = tf.summary.FileWriter(log_dir, self.sesh.graph)

@property
def step(self):
Expand Down Expand Up @@ -213,7 +213,7 @@ def train(self, X, max_iter=np.inf, max_epochs=np.inf, cross_validate=True,
verbose=True, save=True, outdir="./out", plots_outdir="./png",
plot_latent_over_time=False):
if save:
saver = tf.train.Saver(tf.all_variables())
saver = tf.train.Saver(tf.global_variables())

try:
err_train = 0
Expand Down