[API Compatibility No.352、377] Align torch.std -part

paconvert/global_var.py

@@ -1001,6 +1001,8 @@ class GlobalManager:
         "torch.cosh",
         "torch.frac",
         "torch.Tensor.diag",
+        "torch.std",
+        "torch.Tensor.std",
         # lijialin
         "torch.group_norm",
         "torch.layer_norm",

tests/test_Tensor_std.py

@@ -84,3 +84,14 @@ def test_case_6():
         """
     )
     obj.run(pytorch_code, ["result"])
+
+
+def test_case_7():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        input = torch.tensor([[1.4907, 1.0593, 1.5696], [1.4907, 1.0593, 1.5696]])
+        result = input.std(keepdim=True, correction=0, dim=1)
+        """
+    )
+    obj.run(pytorch_code, ["result"])

tests/test_std.py

@@ -121,3 +121,25 @@ def test_case_9():
         """
     )
     obj.run(pytorch_code, ["result"])
+
+
+def test_case_10():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        input = torch.tensor([[1.4907, 1.0593, 1.5696], [1.4907, 1.0593, 1.5696]])
+        result = torch.std(unbiased=False, dim=1, input=input, keepdim=True)
+        """
+    )
+    obj.run(pytorch_code, ["result"])
+
+
+def test_case_11():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        args = (torch.tensor([[1.4907, 1.0593, 1.5696], [1.4907, 1.0593, 1.5696]]), 1, False, True)
+        result = torch.std(*args)
+        """
+    )
+    obj.run(pytorch_code, ["result"])