Added glu activation to Paddle frontend

ivy/functional/frontends/paddle/nn/functional/activation.py

@@ -40,6 +40,13 @@ def gelu(x, approximate=False, name=None):
     return ivy.gelu(x, approximate=approximate)
 
 
+@with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
+@to_ivy_arrays_and_back
+def glu(x, axis=-1, name=None):
+    a, b = ivy.split(x, num_or_size_splits=2, axis=axis)
+    return ivy.multiply(a, ivy.sigmoid(b))
+
+
 @with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
 @to_ivy_arrays_and_back
 def gumbel_softmax(x, temperature=1.0, hard=False, axis=-1, name=None):

ivy_tests/test_ivy/test_frontends/test_paddle/test_nn/test_functional/test_activation.py

@@ -128,6 +128,34 @@ def test_paddle_gelu(
     )
 
 
+# glu
+@handle_frontend_test(
+    fn_tree="paddle.nn.functional.glu",
+    dtype_and_input=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+    ),
+)
+def test_paddle_glu(
+    *,
+    dtype_and_input,
+    on_device,
+    backend_fw,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    input_dtype, x = dtype_and_input
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+    )
+
+
 # gumbel_softmax
 @handle_frontend_test(
     fn_tree="paddle.nn.functional.gumbel_softmax",