def test_add_hist_image_summary(self): values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50] bins = [0.01 * i for i in range(101)] visualization_utils.add_hist_image_summary(values, bins, 'ScoresDistribution') hist_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0] with self.test_session(): hist_image_summary.eval()
def graph_fn(): values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50] bins = [0.01 * i for i in range(101)] visualization_utils.add_hist_image_summary(values, bins, 'ScoresDistribution') hist_image_summary = tf.get_collection( key=tf.GraphKeys.SUMMARIES)[0] return hist_image_summary
def test_add_hist_image_summary(self): values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50] bins = [0.01 * i for i in range(101)] visualization_utils.add_hist_image_summary(values, bins, 'ScoresDistribution') hist_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0] with self.test_session(): hist_image_summary.eval()