Added torch instance method cos and tested

ivy/functional/frontends/torch/Tensor.py

@@ -35,6 +35,9 @@ def sinh_(self):
         self.data = self.sinh()
         return self.data
 
+    def cos(self, *, out=None):
+        return torch_frontend.cos(self.data, out=out)
+
     def view(self, shape):
         self.data = torch_frontend.reshape(self.data, shape)
         return self.data

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -156,6 +156,40 @@ def test_torch_instance_sin_(
     )
 
 
+# cos
+@handle_cmd_line_args
+@given(
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        allow_inf=False,
+    ),
+)
+def test_torch_instance_cos(
+    dtype_and_x,
+    as_variable,
+    native_array,
+):
+    input_dtype, x = dtype_and_x
+    assume("bfloat16" not in input_dtype)
+    helpers.test_frontend_method(
+        input_dtypes_init=["float64"] + input_dtype,
+        as_variable_flags_init=as_variable,
+        num_positional_args_init=1,
+        native_array_flags_init=native_array,
+        all_as_kwargs_np_init={
+            "data": x[0],
+        },
+        input_dtypes_method=["float64"] + input_dtype,
+        as_variable_flags_method=as_variable,
+        num_positional_args_method=0,
+        native_array_flags_method=native_array,
+        all_as_kwargs_np_method={},
+        frontend="torch",
+        class_name="tensor",
+        method_name="cos",
+    )
+
+
 # sinh
 @handle_cmd_line_args
 @given(