fix log levels too high

mindinsight/datavisual/data_transform/ms_data_loader.py

@@ -405,8 +405,8 @@ class _SummaryParser(_Parser):
                         # Drop steps if original_buckets_count exceeds HistogramContainer.MAX_ORIGINAL_BUCKETS_COUNT
                         # to avoid time-consuming re-sample process.
                         if tensor_event_value.original_buckets_count > HistogramContainer.MAX_ORIGINAL_BUCKETS_COUNT:
-                            logger.warning('original_buckets_count exceeds '
-                                           'HistogramContainer.MAX_ORIGINAL_BUCKETS_COUNT')
+                            logger.info('original_buckets_count exceeds '
+                                        'HistogramContainer.MAX_ORIGINAL_BUCKETS_COUNT')
                             continue
 
                     tensor_event = TensorEvent(wall_time=event.wall_time,

mindinsight/datavisual/data_transform/reservoir.py

@@ -213,8 +213,7 @@ class HistogramReservoir(Reservoir):
                 visual_range.update(histogram.max, histogram.min)
 
             if visual_range.max == visual_range.min and not max_count:
-                logger.warning("Max equals to min, however, count is zero. Please check mindspore "
-                               "does write max and min values to histogram summary file.")
+                logger.info("Max equals to min. Count is zero.")
 
             bins = calc_histogram_bins(max_count)