!1080 fix sigmoid function and add reluv2 in recommended watchpoint condtions

From: @jiang-shuqiang
Reviewed-by: @wenkai_dist,@lilongfei15
Signed-off-by: @lilongfei15

mindinsight/debugger/conditionmgr/condition.py

@@ -110,6 +110,7 @@ class ActivationFuncEnum(Enum):
     TANH = 'tanh'
     SIGMOID = 'sigmoid'
     RELU = 'relu'
+    RELUV2 = 'reluv2'
 
 
 class ConditionContext:

mindinsight/debugger/conditionmgr/recommender.py

@@ -115,7 +115,8 @@ def recommend_watchpoints(condition_mgr: ConditionMgr, graph_stream, condition_c
     _recommend_activation_range(merged_info, condition_mgr, watch_points, condition_context,
                                 ActivationFuncEnum.SIGMOID.value)
 
-    merged_info = get_basic_node_info(TargetTypeEnum.ACTIVATION.value, graph_stream, ActivationFuncEnum.RELU.value)
+    merged_info = get_basic_node_info(TargetTypeEnum.ACTIVATION.value, graph_stream,
+                                      [ActivationFuncEnum.RELU.value, ActivationFuncEnum.RELUV2.value])
     _recommend_activation_range(merged_info, condition_mgr, watch_points, condition_context,
                                 ActivationFuncEnum.RELU.value)
     return watch_points
@@ -415,7 +416,7 @@ def _add_graph_name(nodes, graph_stream):
 
 def _sigmoid(value):
     """Calculate the sigmoid of value."""
-    return 1.0 / (1.0 + math.exp(value))
+    return 1.0 / (1.0 + math.exp(-value))
 
 
 def _get_recommend_activation_params(condition, activation_func):

mindinsight/debugger/debugger_server.py

@@ -79,16 +79,19 @@ class DebuggerServer:
         if not isinstance(set_recommended, bool):
             log.error("Bool param should be given for set_recommended")
             raise DebuggerParamValueError("Bool param should be given.")
+
         metadata_stream = self.cache_store.get_stream_handler(Streams.METADATA)
         if metadata_stream.recommendation_confirmed:
             log.error("User has confirmed setting recommended watchpoints")
             raise DebuggerSetRecommendWatchpointsError()
+
+        metadata_stream.recommendation_confirmed = True
         condition_context = ConditionContext(metadata_stream.backend, metadata_stream.step)
         log.debug("Train_id: %s, backend: %s", train_id, condition_context.backend)
         res = metadata_stream.get(['state', 'enable_recheck'])
         if set_recommended:
             res['id'] = self._add_recommended_watchpoints(condition_context)
-        metadata_stream.recommendation_confirmed = True
+
         return res
 
     def _add_recommended_watchpoints(self, condition_context):