feat: add erfc to torch.Tensor frontend (#26991)

Co-authored-by: Sam-Armstrong <samuel_e_armstrong@yahoo.co.uk>

ivy/functional/frontends/torch/tensor.py

@@ -543,9 +543,17 @@ def erf_(self, *, out=None):
         {"2.2 and below": {"cpu": ("float32", "float64")}},
         "torch",
     )
-    def erfc_(self, *, out=None):
+    def erfc(self, *, out=None):
         return torch_frontend.erfc(self, out=out)
 
+    @with_supported_device_and_dtypes(
+        {"2.2 and below": {"cpu": ("float32", "float64")}},
+        "torch",
+    )
+    def erfc_(self, *, out=None):
+        self.ivy_array = self.erfc(out=out).ivy_array
+        return self
+
     def new_zeros(
         self,
         *args,

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -6536,6 +6536,43 @@ def test_torch_erfinv_(
     )
 
 
+# erfc
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="erfc",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+    ),
+)
+def test_torch_tensor_erfc(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        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,
+        rtol_=1e-2,
+        atol_=1e-2,
+    )
+
+
 # exp
 @handle_frontend_method(
     class_tree=CLASS_TREE,