Added Cumsum instance method to Jax NUmpy Frontend (#16652)

ivy/functional/frontends/jax/devicearray.py

@@ -85,6 +85,14 @@ def cumprod(self, axis=None, dtype=None, out=None):
             out=out,
         )
 
+    def cumsum(self, axis=None, dtype=None, out=None):
+        return jax_frontend.numpy.cumsum(
+            self,
+            axis=axis,
+            dtype=dtype,
+            out=out,
+        )
+
     def nonzero(self, *, size=None, fill_value=None):
         return jax_frontend.numpy.nonzero(
             self,

ivy_tests/test_ivy/test_frontends/test_jax/test_jax_devicearray.py

@@ -284,6 +284,48 @@ def test_jax_devicearray_cumprod(
     )
 
 
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="jax.numpy.array",
+    method_name="cumsum",
+    dtype_and_x=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("numeric"),
+        min_num_dims=1,
+        max_num_dims=5,
+        min_value=-100,
+        max_value=100,
+        valid_axis=True,
+        allow_neg_axes=False,
+        max_axes_size=1,
+        force_int_axis=True,
+    ),
+)
+def test_jax_devicearray_cumsum(
+    dtype_and_x,
+    on_device,
+    frontend,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+):
+    input_dtype, x, axis = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        init_all_as_kwargs_np={
+            "object": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={
+            "axis": axis,
+        },
+        frontend=frontend,
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        on_device=on_device,
+    )
+
+
 @handle_frontend_method(
     class_tree=CLASS_TREE,
     init_tree="jax.numpy.array",