ENH: asinh added in paddle.tensor asinh #16097 (#16100)

ivy/functional/frontends/paddle/tensor/tensor.py

@@ -98,6 +98,10 @@ def dim(self):
     def abs(self):
         return paddle_frontend.abs(self)
 
+    @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
+    def asinh(self, name=None):
+        return ivy.asinh(self._ivy_array)
+
     @with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
     def asin(self, name=None):
         return ivy.asin(self._ivy_array)

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_paddle_tensor.py

@@ -278,6 +278,8 @@ def test_torch_instance_abs(
     )
 
 
+
+
 # asin
 @handle_frontend_method(
     class_tree=CLASS_TREE,
@@ -309,3 +311,36 @@ def test_paddle_asin(
         frontend=frontend,
         on_device=on_device,
     )
+
+ # asinh
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="asinh",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+    ),
+)
+def test_paddle_asinh(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        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,
+    )
+