diff --git a/paconvert/api_mapping.json b/paconvert/api_mapping.json
index 60e412db5..c50c53744 100644
--- a/paconvert/api_mapping.json
+++ b/paconvert/api_mapping.json
@@ -4894,6 +4894,16 @@
       "device": "device"
     }
   },
+  "torch.cuda.device": {
+    "Matcher": "GenericMatcher",
+    "paddle_api": "paddle.CUDAPlace",
+    "args_list": [
+      "device"
+    ],
+    "kwargs_change": {
+      "device": "id"
+    }
+  },
   "torch.cuda.device_count": {
     "Matcher": "GenericMatcher",
     "paddle_api": "paddle.device.cuda.device_count",
@@ -12421,6 +12431,15 @@
     ],
     "min_input_args": 1
   },
+  "torch.nn.parallel.comm.broadcast": {
+    "Matcher": "GenericMatcher",
+    "paddle_api": "paddle.distributed.broadcast",
+    "args_list": [
+      "tensor",
+      "devices",
+      "out"
+    ]
+  },
   "torch.nn.utils.clip_grad_norm_": {
     "Matcher": "GenericMatcher",
     "paddle_api": "paddle.nn.utils.clip_grad_norm_",
diff --git a/tests/test_cuda_device.py b/tests/test_cuda_device.py
new file mode 100644
index 000000000..93245d0b7
--- /dev/null
+++ b/tests/test_cuda_device.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import textwrap
+
+from apibase import APIBase
+
+obj = APIBase("torch.cuda.device")
+
+
+def test_case_1():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        result = None
+        if torch.cuda.is_available():
+            result = torch.cuda.device(0)
+        """
+    )
+    obj.run(
+        pytorch_code,
+        ["result"],
+    )
diff --git a/tests/test_nn_parallel_comm_broadcast.py b/tests/test_nn_parallel_comm_broadcast.py
new file mode 100644
index 000000000..5cd136895
--- /dev/null
+++ b/tests/test_nn_parallel_comm_broadcast.py
@@ -0,0 +1,31 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import textwrap
+
+from apibase import APIBase
+
+obj = APIBase("torch.nn.parallel.comm.broadcast")
+
+
+def test_case_1():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        input = torch.tensor([1., 2.])
+        device = ['cuda:0']
+        result = torch.nn.parallel.comm.broadcast(input, device)
+        """
+    )
+    obj.run(pytorch_code, ["result"])