Update logger.py

adding support for changeable batchsize

Author: waleedmohamedme

utils/logger.py

@@ -28,7 +28,10 @@ def summarize(self, step, summerizer="train", scope="", summaries_dict=None):
                 summary_list = []
                 for tag, value in summaries_dict.items():
                     if tag not in self.summary_ops:
-                        self.summary_placeholders[tag] = tf.placeholder('float32', value.shape, name=tag)
+                        if len(value.shape) <=1:
+                            self.summary_placeholders[tag] = tf.placeholder('float32', value.shape, name=tag)
+                        else :
+                            self.summary_placeholders[tag] = tf.placeholder('float32', [None] + list(value.shape[1:]),name=tag)
                         if len(value.shape) <= 1:
                             self.summary_ops[tag] = tf.summary.scalar(tag, self.summary_placeholders[tag])
                         else: