Adding cumsum_ (ivy-llc#10487)

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

ivy/functional/frontends/torch/tensor.py

@@ -530,6 +530,11 @@ def flatten(self, start_dim, end_dim):
     def cumsum(self, dim, dtype):
         return torch_frontend.cumsum(self._ivy_array, dim, dtype=dtype)
 
+    @with_unsupported_dtypes({"1.11.0 and below": ("float16",)}, "torch")
+    def cumsum_(self, dim, *, dtype=None):
+        self._ivy_array = self.cumsum(dim, dtype).ivy_array
+        return self
+
     def inverse(self):
         return torch_frontend.inverse(self._ivy_array)
 

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -3709,6 +3709,47 @@ def test_torch_instance_cumsum(
     )
 
 
+# cumsum_
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="cumsum_",
+    dtype_value=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("numeric"),
+        shape=st.shared(helpers.get_shape(min_num_dims=1), key="shape"),
+    ),
+    dim=helpers.get_axis(
+        shape=st.shared(helpers.get_shape(), key="shape"),
+        allow_neg=True,
+        force_int=True,
+    ),
+)
+def test_torch_instance_cumsum_(
+    dtype_value,
+    dim,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+):
+    input_dtype, x = dtype_value
+    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={
+            "dim": dim,
+            "dtype": input_dtype[0],
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+    )
+
+
 # sort
 @handle_frontend_method(
     class_tree=CLASS_TREE,