Merge pull request #8 from gustavomr/master

Making compatible with TF 1.X - Update text_cnn.py

Author: jiegzhan

text_cnn.py

@@ -46,7 +46,7 @@ def __init__(self, sequence_length, num_classes, vocab_size, embedding_size, fil
 
 		# Combine all the pooled features
 		num_filters_total = num_filters * len(filter_sizes)
-		self.h_pool = tf.concat(3, pooled_outputs)
+		self.h_pool = tf.concat(pooled_outputs,3)
 		self.h_pool_flat = tf.reshape(self.h_pool, [-1, num_filters_total])
 
 		# Add dropout
@@ -67,7 +67,7 @@ def __init__(self, sequence_length, num_classes, vocab_size, embedding_size, fil
 
 		# Calculate mean cross-entropy loss
 		with tf.name_scope('loss'):
-			losses = tf.nn.softmax_cross_entropy_with_logits(self.scores, self.input_y)
+			losses = tf.nn.softmax_cross_entropy_with_logits(labels = self.input_y, logits = self.scores) #  only named arguments accepted            
 			self.loss = tf.reduce_mean(losses) + l2_reg_lambda * l2_loss
 
 		# Accuracy