Add fftshift to Paddle Frontend

ivy/functional/frontends/paddle/fft.py

@@ -14,3 +14,33 @@
 def fft(x, n=None, axis=-1.0, norm="backward", name=None):
     ret = ivy.fft(ivy.astype(x, "complex128"), axis, norm=norm, n=n)
     return ivy.astype(ret, x.dtype)
+
+
+@with_supported_dtypes(
+    {
+        "2.5.0 and below": (
+            "int32",
+            "int64",
+            "float32",
+            "float64",
+            "complex64",
+            "complex128",
+        )
+    },
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def fftshift(x, axes=None, name=None):
+    shape = x.shape
+
+    if axes is None:
+        axes = tuple(range(x.ndim))
+        shifts = [(dim // 2) for dim in shape]
+    elif isinstance(axes, int):
+        shifts = shape[axes] // 2
+    else:
+        shifts = ivy.concat([shape[ax] // 2 for ax in axes])
+
+    roll = ivy.roll(x, shifts, axis=axes)
+
+    return roll

ivy_tests/test_ivy/test_frontends/test_paddle/test_paddle_fft.py

@@ -42,3 +42,28 @@ def test_paddle_fft(
         axis=axis,
         norm=norm,
     )
+
+
+@handle_frontend_test(
+    fn_tree="paddle.fft.fftshift",
+    dtype_x_axis=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("valid"),
+        min_value=-10,
+        max_value=10,
+        min_num_dims=1,
+        valid_axis=True,
+        force_int_axis=True,
+    ),
+)
+def test_paddle_fttshift(dtype_x_axis, frontend, test_flags, fn_tree, on_device):
+    input_dtype, x, axes = dtype_x_axis
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        test_values=True,
+        x=x[0],
+        axes=axes,
+    )