add tensor statistics even if the tensor value is big

mindinsight/debugger/stream_cache/node_type_identifier.py

@@ -123,7 +123,9 @@ def is_gradient_node(node):
     Returns:
         bool, if the node is gradient type.
     """
-    if node.name.startswith('Gradients/') and node.type != NodeTypeEnum.PARAMETER.value:
+    node_name = node.name.lower()
+    if node_name.startswith('gradients/') and \
+            node.type not in [NodeTypeEnum.PARAMETER.value, NodeTypeEnum.CONST.value]:
         return True
     return False
 

mindinsight/debugger/stream_cache/tensor.py

@@ -174,6 +174,7 @@ class OpTensor(BaseTensor):
             res['value'] = tensor_value.tolist()
         elif isinstance(tensor_value, str):
             res['value'] = tensor_value
+            res['statistics'] = TensorUtils.get_overall_statistic_dict(self._stats)
 
         return res