Support model.to with device=tensor.place

python/paddle/nn/layer/layers.py

@@ -2698,18 +2698,12 @@ def _to_impl(
  device = paddle.device._convert_to_place(device)
  elif isinstance(
  device,
- (
- core.CPUPlace,
- core.CUDAPlace,
- core.CUDAPinnedPlace,
- core.XPUPlace,
- ),
+ core.Place,
  ):
  pass
  else:
  raise ValueError(
- "device value error, must be str, paddle.CPUPlace(), paddle.CUDAPlace(), paddle.CUDAPinnedPlace() or paddle.XPUPlace(), but the type of device is "
- + type(device).__name__
+ f"device should be type of str, paddle.CPUPlace, paddle.CUDAPlace, paddle.CUDAPinnedPlace, paddle.XPUPlace, or paddle.base.libpaddle.Place, but got {type(device).__name__}"
  )
 
  if blocking is None:

test/legacy_test/test_layer_to.py

@@ -0,0 +1,38 @@
+# Copyright (c) 2025 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 unittest
+
+import paddle
+
+
+class TensorToTest(unittest.TestCase):
+ def test_layer_to_place(self):
+ model = paddle.vision.models.resnet18()
+ place = paddle.randn([]).cpu().place
+ _ = model.to(place)
+
+ def test_layer_to_place_error(self):
+ model = paddle.vision.models.resnet18()
+
+ place = 1
+ with self.assertRaisesRegex(
+ ValueError,
+ "device should be type of str, paddle.CPUPlace, paddle.CUDAPlace, paddle.CUDAPinnedPlace, paddle.XPUPlace, or paddle.base.libpaddle.Place, but got int",
+ ):
+ _ = model.to(place)
+
+
+if __name__ == '__main__':
+ unittest.main()