From 8fcedc756a270c79a4910a73931c1aba5b82f1f5 Mon Sep 17 00:00:00 2001
From: wangchao <wangchao285@huawei.com>
Date: Tue, 29 Aug 2023 17:14:39 +0800
Subject: [PATCH] replace * to .

---
 .../api_accuracy_checker/common/base_api.py    | 18 +++++++++---------
 .../api_accuracy_checker/run_ut/run_ut.py      | 13 +++++++------
 2 files changed, 16 insertions(+), 15 deletions(-)

diff --git a/debug/accuracy_tools/api_accuracy_checker/common/base_api.py b/debug/accuracy_tools/api_accuracy_checker/common/base_api.py
index 3689a4c1d1..0db84b45bf 100644
--- a/debug/accuracy_tools/api_accuracy_checker/common/base_api.py
+++ b/debug/accuracy_tools/api_accuracy_checker/common/base_api.py
@@ -14,7 +14,7 @@ class BaseAPIInfo:
         self.save_path = save_path
         self.forward_path = forward_path
         self.backward_path = backward_path
-        
+
     def analyze_element(self, element):
         if isinstance(element, (list, tuple)):
             out = []
@@ -45,16 +45,16 @@ class BaseAPIInfo:
     def analyze_tensor(self, arg):
         single_arg = {}
         if not self.is_save_data:
-            
+
             single_arg.update({'type' : 'torch.Tensor'})
             single_arg.update({'dtype' : str(arg.dtype)})
             single_arg.update({'shape' : arg.shape})
             single_arg.update({'Max' : self.transfer_types(self.get_tensor_extremum(arg,'max'), str(arg.dtype))})
             single_arg.update({'Min' : self.transfer_types(self.get_tensor_extremum(arg,'min'), str(arg.dtype))})
             single_arg.update({'requires_grad': arg.requires_grad})
-            
+
         else:
-            api_args = self.api_name + '*' + str(self.args_num)
+            api_args = self.api_name + '.' + str(self.args_num)
             if self.is_forward:
                 forward_real_data_path = os.path.join(self.save_path, self.forward_path)
 
@@ -89,12 +89,12 @@ class BaseAPIInfo:
         if element is None or isinstance(element, (bool,int,float,str,slice)):
             return True
         return False
-        
+
     def analyze_device_in_kwargs(self, element):
         single_arg = {}
         single_arg.update({'type' : 'torch.device'})
         if not isinstance(element, str):
-            
+
             if hasattr(element, "index"):
                 device_value = element.type + ":" + str(element.index)
                 single_arg.update({'value' : device_value})
@@ -103,13 +103,13 @@ class BaseAPIInfo:
         else:
             single_arg.update({'value' : element})
         return single_arg
-    
+
     def analyze_dtype_in_kwargs(self, element):
         single_arg = {}
         single_arg.update({'type' : 'torch.dtype'})
         single_arg.update({'value' : str(element)})
         return single_arg
-    
+
     def get_tensor_extremum(self, data, operator):
         if data.dtype is torch.bool:
             if operator == 'max':
@@ -120,7 +120,7 @@ class BaseAPIInfo:
             return torch._C._VariableFunctionsClass.max(data).item()
         else:
             return torch._C._VariableFunctionsClass.min(data).item()
-    
+
     def get_type_name(self, name):
 
         left = name.index("'")
diff --git a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
index 813d0cb586..ee962e0298 100644
--- a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
+++ b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
@@ -95,16 +95,17 @@ def run_ut(forward_file, backward_file, out_path, save_error_data):
 
 def do_save_error_data(api_full_name, data_info, is_fwd_success, is_bwd_success):
     if not is_fwd_success or not is_bwd_success:
+        api_full_name = api_full_name.replace("*", ".")
         for element in data_info.in_fwd_data_list:
-            UtAPIInfo(api_full_name + '*forward*input', element)
+            UtAPIInfo(api_full_name + '.forward.input', element)
         if data_info.bench_out is not None:
-            UtAPIInfo(api_full_name + '*forward*output*bench', data_info.bench_out)
-            UtAPIInfo(api_full_name + '*forward*output*npu', data_info.npu_out)
+            UtAPIInfo(api_full_name + '.forward.output.bench', data_info.bench_out)
+            UtAPIInfo(api_full_name + '.forward.output.npu', data_info.npu_out)
         if data_info.grad_in is not None:
-            UtAPIInfo(api_full_name + '*backward*input', data_info.grad_in)
+            UtAPIInfo(api_full_name + '.backward.input', data_info.grad_in)
         if data_info.bench_grad_out is not None:
-            UtAPIInfo(api_full_name + '*backward*output*bench', data_info.bench_grad_out)
-            UtAPIInfo(api_full_name + '*backward*output*npu', data_info.npu_grad_out)
+            UtAPIInfo(api_full_name + '.backward.output.bench', data_info.bench_grad_out)
+            UtAPIInfo(api_full_name + '.backward.output.npu', data_info.npu_grad_out)
 
 
 
-- 
Gitee