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Modify the initialization of weight and Add options to Session #7

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Modify the initialization of weight and Add options to Session #7

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b2048fd
Update test.py
youkaichao Jul 21, 2017
c7204fe
Update train.py
youkaichao Jul 21, 2017
723484b
Update model.py
youkaichao Aug 17, 2017
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2 changes: 1 addition & 1 deletion model.py
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Expand Up @@ -65,7 +65,7 @@ def _variable_with_weight_decay(name, shape, wd):
Variable Tensor
"""
var = _variable_on_cpu(name, shape,
initializer=tf.contrib.layers.xavier_initializer())
initializer=tf.contrib.layers.xavier_initializer(uniform=False))
if wd:
weight_decay = tf.multiply(tf.nn.l2_loss(var), wd, name='weight_loss')
tf.add_to_collection('losses', weight_decay)
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2 changes: 1 addition & 1 deletion test.py
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Expand Up @@ -55,7 +55,7 @@ def test(dataset, ckptfile):
saver = tf.train.Saver(tf.all_variables(), max_to_keep=1000)

init_op = tf.global_variables_initializer()
sess = tf.Session(config=tf.ConfigProto(log_device_placement=FLAGS.log_device_placement))
sess = tf.Session(config=tf.ConfigProto(log_device_placement=FLAGS.log_device_placement, gpu_options=tf.GPUOptions(allow_growth=True)))

saver.restore(sess, ckptfile)
print 'restore variables done'
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2 changes: 1 addition & 1 deletion train.py
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Expand Up @@ -72,7 +72,7 @@ def train(dataset_train, dataset_val, ckptfile='', caffemodel=''):
saver = tf.train.Saver(tf.all_variables(), max_to_keep=1000)

init_op = tf.global_variables_initializer()
sess = tf.Session(config=tf.ConfigProto(log_device_placement=FLAGS.log_device_placement))
sess = tf.Session(config=tf.ConfigProto(log_device_placement=FLAGS.log_device_placement, gpu_options=tf.GPUOptions(allow_growth=True)))

if is_finetune:
# load checkpoint file
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