diff --git a/mindspore/profiler/parser/framework_parser.py b/mindspore/profiler/parser/framework_parser.py
index a99d82653b6..31560c08fe1 100644
--- a/mindspore/profiler/parser/framework_parser.py
+++ b/mindspore/profiler/parser/framework_parser.py
@@ -30,23 +30,24 @@ from mindspore.profiler.common.validator.validate_path import \
 
 class VmDataType(enum.IntEnum):
     """Definition of vm data type."""
-    NUMBER_TYPE_BEGIN = 26
-    NUMBER_TYPE_BOOL = 27
-    NUMBER_TYPE_INT = 28
-    NUMBER_TYPE_INT8 = 29
-    NUMBER_TYPE_INT16 = 30
-    NUMBER_TYPE_INT32 = 31
-    NUMBER_TYPE_INT64 = 32
-    NUMBER_TYPE_UINT = 33
-    NUMBER_TYPE_UINT8 = 34
-    NUMBER_TYPE_UINT16 = 35
-    NUMBER_TYPE_UINT32 = 36
-    NUMBER_TYPE_UINT64 = 37
-    NUMBER_TYPE_FLOAT = 38
-    NUMBER_TYPE_FLOAT16 = 39
-    NUMBER_TYPE_FLOAT32 = 40
-    NUMBER_TYPE_FLOAT64 = 41
-    NUMBER_TYPE_END = 42
+    NUMBER_TYPE_BEGIN = 30
+    NUMBER_TYPE_BOOL = 31
+    NUMBER_TYPE_INT = 32
+    NUMBER_TYPE_INT8 = 33
+    NUMBER_TYPE_INT16 = 34
+    NUMBER_TYPE_INT32 = 35
+    NUMBER_TYPE_INT64 = 36
+    NUMBER_TYPE_UINT = 37
+    NUMBER_TYPE_UINT8 = 38
+    NUMBER_TYPE_UINT16 = 39
+    NUMBER_TYPE_UINT32 = 40
+    NUMBER_TYPE_UINT64 = 41
+    NUMBER_TYPE_FLOAT = 42
+    NUMBER_TYPE_FLOAT16 = 43
+    NUMBER_TYPE_FLOAT32 = 44
+    NUMBER_TYPE_FLOAT64 = 45
+    NUMBER_TYPE_COMPLEX = 46
+    NUMBER_TYPE_END = 47
 
     @classmethod
     def get_data_type_name(cls, num):
diff --git a/tests/ut/data/profiler_data/profiler/framework_raw_0.csv b/tests/ut/data/profiler_data/profiler/framework_raw_0.csv
index 762bc693469..8e34e5445d6 100755
--- a/tests/ut/data/profiler_data/profiler/framework_raw_0.csv
+++ b/tests/ut/data/profiler_data/profiler/framework_raw_0.csv
@@ -1,5 +1,5 @@
 task_id,stream_id,block_dim,full_op_name,op_name,op_type,subgraph,op_info
-51517,0,32,Default/Cast-op6,Cast-op6,Cast,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_FLOAT32"", ""shape"": ""32,3,224,224""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_FLOAT16"", ""shape"": ""32,3,224,224""}}"
-51518,0,32,Default/TransData-op7,TransData-op7,TransData,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_FLOAT16"", ""shape"": ""32,3,224,224""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_FLOAT16"", ""shape"": ""32,1,224,224,16""}}"
-51519,0,32,Default/network-WithLossCell/_backbone-ResNet/conv1-Conv2d/Cast-op5,Cast-op5,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_FLOAT32"", ""shape"": ""49,4,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_FLOAT16"", ""shape"": ""49,4,16,16""}}"
-51522,0,4,Default/network-WithLossCell/_backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv1-Conv2d/Cast-op28,Cast-op28,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_FLOAT32"", ""shape"": ""4,4,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_FLOAT16"", ""shape"": ""4,4,16,16""}}"
+51517,0,32,Default/Cast-op6,Cast-op6,Cast,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT32"", ""shape"": ""32,3,224,224""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT16"", ""shape"": ""32,3,224,224""}}"
+51518,0,32,Default/TransData-op7,TransData-op7,TransData,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT16"", ""shape"": ""32,3,224,224""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_UINT16"", ""shape"": ""32,1,224,224,16""}}"
+51519,0,32,Default/network-WithLossCell/_backbone-ResNet/conv1-Conv2d/Cast-op5,Cast-op5,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_UINT32"", ""shape"": ""49,4,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_UINT16"", ""shape"": ""49,4,16,16""}}"
+51522,0,4,Default/network-WithLossCell/_backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv1-Conv2d/Cast-op28,Cast-op28,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_UINT32"", ""shape"": ""4,4,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_UINT16"", ""shape"": ""4,4,16,16""}}"