added std instance method to pytorch frontend

ivy/functional/frontends/torch/reduction_ops.py

@@ -95,6 +95,8 @@ def median(input, dim=None, keepdim=False, *, out=None):
 
 
 @to_ivy_arrays_and_back
+@with_unsupported_dtypes({"2.0.1 and below": ("float16",)}, "torch")
+
 def std(input, dim=None, unbiased=True, keepdim=False, *, out=None):
     return ivy.std(input, axis=dim, correction=int(unbiased), keepdims=keepdim, out=out)
 

ivy/functional/frontends/torch/tensor.py

@@ -1136,6 +1136,11 @@ def addcdiv(self, tensor1, tensor2, *, value=1):
     def sign(self):
         return torch_frontend.sign(self._ivy_array)
 
+    def std(self, dim=None, unbiased=True, keepdim=False, *, out=None):
+        return torch_frontend.std(
+            self, dim=dim, unbiased=unbiased, keepdim=keepdim, out=out
+        )
+
     @with_unsupported_dtypes({"2.0.1 and below": ("float16", "bfloat16")}, "torch")
     def fmod(self, other, *, out=None):
         return torch_frontend.fmod(self, other, out=out)

ivy/functional/ivy/experimental/creation.py

@@ -663,7 +663,7 @@ def _iter_product(*args, repeat=1):
     for prod in result:
         yield tuple(prod)
 
-
+        
 @handle_exceptions
 @inputs_to_ivy_arrays
 def ndenumerate(

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -40,6 +40,7 @@
 )
 from ivy_tests.test_ivy.test_functional.test_core.test_statistical import (
     _get_castable_dtype,
+    statistical_dtype_values,
 )
 
 
@@ -8017,6 +8018,37 @@ def test_torch_instance_sign(
     )
 
 
+# std
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="std",
+    dtype_and_x=statistical_dtype_values(function="std"),
+)
+def test_torch_instance_std(
+    dtype_and_x,
+    frontend,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    on_device,
+):
+    input_dtype, x, _, _ = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        init_all_as_kwargs_np={
+            "data": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # fmod
 @handle_frontend_method(
     class_tree=CLASS_TREE,