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Replaced Depricated tf.contrib.deprecated.scalar_summary with tf.compat.v1.summary.scalar #7

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Jul 27, 2019
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Replaced Depricated tf.contrib.deprecated.scalar_summary with tf.compat.v1.summary.scalar #7

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bce7131
Replaced Depricated scalar_summary with new functions of tf
Jul 25, 2019
9e82adf
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ashutosh1919 Jul 25, 2019
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ashutosh1919 Jul 26, 2019
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3 changes: 2 additions & 1 deletion code/cifar_train_baseline.py
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Expand Up @@ -247,7 +247,8 @@ def train_inception_baseline(max_step_run):
labels=one_hot_labels, logits=logits)
total_loss = tf.reduce_mean(total_loss)

tf.contrib.deprecated.scalar_summary('Total Loss', total_loss)
# Using latest tensorflow ProtoBuf.
tf.compat.v1.summary.scalar('Total Loss', total_loss)

decay_steps = int(
num_samples_per_epoch / FLAGS.batch_size * FLAGS.num_epochs_per_decay)
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2 changes: 1 addition & 1 deletion code/resnet_model.py
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Expand Up @@ -124,7 +124,7 @@ def build_model(self):
def _build_train_op(self):
"""Build training specific ops for the graph."""
self.lrn_rate = tf.constant(self.hps.lrn_rate, tf.float32)
tf.contrib.deprecated.scalar_summary('learning rate', self.lrn_rate)
tf.compat.v1.summary.scalar('learning rate', self.lrn_rate)

trainable_variables = tf.trainable_variables()
grads = tf.gradients(self.cost, trainable_variables)
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