feat: Added torchTensor.frac to torch frontend (#27417)

Co-authored-by: NripeshN <[email protected]>

ivy/functional/frontends/torch/tensor.py

@@ -2017,6 +2017,10 @@ def uniform_(self, from_=0, to=1, *, generator=None):
         )
         return self
 
+    @with_supported_dtypes({"2.1.1 and below": ("float32", "float64")}, "torch")
+    def frac(self, name=None):
+        return torch_frontend.frac(self._ivy_array)
+
     @with_unsupported_dtypes(
         {
             "2.1.1 and below": (

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -7088,6 +7088,44 @@ def test_torch_fmod_(
     )
 
 
+# frac
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="frac",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes(kind="valid"),
+        num_arrays=1,
+        max_value=1e6,
+        min_value=-1e6,
+    ),
+)
+def test_torch_frac(
+    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,
+    )
+
+
 @handle_frontend_method(
     class_tree=CLASS_TREE,
     init_tree="torch.tensor",