wehub-resource-sync
145 lines
5.7 KiB
Python
145 lines
5.7 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from op_test import get_device, get_device_place, is_custom_device
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from utils import dygraph_guard
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import paddle
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class TestPlaceGuard(unittest.TestCase):
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def test_str_place_obj_consistency(self):
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places = [
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["cpu", paddle.CPUPlace()],
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]
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if paddle.device.is_compiled_with_cuda() or is_custom_device():
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places.append([get_device(), get_device_place()])
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places.append(["gpu:0", get_device_place()])
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elif paddle.device.is_compiled_with_ipu():
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places.append(["ipu", paddle.IPUPlace()])
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elif paddle.device.is_compiled_with_xpu():
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places.append(["xpu:0", paddle.XPUPlace(0)])
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with dygraph_guard():
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for place_str, place_obj in places:
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with paddle.device.device_guard(place_str):
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x = paddle.randn([2, 2])
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x = x.tanh() ** 2
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self.assertEqual(x.place, place_obj)
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def test_str_place_obj_scope_in_device(self):
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places = []
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if paddle.device.is_compiled_with_cuda() or is_custom_device():
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places.append(get_device_place())
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places.append(get_device_place())
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elif paddle.device.is_compiled_with_ipu():
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places.append(paddle.IPUPlace())
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elif paddle.device.is_compiled_with_xpu():
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places.append(paddle.XPUPlace(0))
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places.append(paddle.XPUPlace(0))
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with dygraph_guard():
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for place_obj in places:
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x = paddle.randn([2, 2]) # create on default place
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with paddle.device.device_guard("cpu"):
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x = (
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x.tanh() ** 2
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) # should be still in place rather than cpu
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self.assertNotEqual(x.place, paddle.CPUPlace())
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self.assertEqual(x.place, place_obj)
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def test_wrong_device_name(self):
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with (
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dygraph_guard(),
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self.assertRaisesRegex(
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ValueError,
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"The device must be a string which is like 'cpu', 'gpu', 'gpu:x', 'dcu', 'dcu:x', 'xpu', 'xpu:x', 'npu', 'npu:x'",
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),
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paddle.device.device_guard("xxx"),
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):
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pass
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def test_wrong_device_type(self):
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with (
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dygraph_guard(),
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self.assertRaisesRegex(
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ValueError,
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"'device' must be a string or an instance of a subclass of",
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),
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paddle.device.device_guard(paddle.randn([2])),
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):
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pass
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def test_str_place_obj_nested(self):
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places = [paddle.CPUPlace()]
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if paddle.device.is_compiled_with_cuda() or is_custom_device():
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places.append(get_device_place())
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places.append(get_device_place())
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elif paddle.device.is_compiled_with_ipu():
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places.append(paddle.IPUPlace())
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elif paddle.device.is_compiled_with_xpu():
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places.append(paddle.XPUPlace(0))
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places.append(paddle.XPUPlace(0))
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if len(places) >= 2:
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place_obj1, place_obj2 = places[:2]
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else:
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self.skipTest("Not compiled with HPC hardware.")
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with dygraph_guard():
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with paddle.device.device_guard(place_obj1):
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x = paddle.randn([2, 2]) # create on place1
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self.assertEqual(x.place, place_obj1)
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self.assertNotEqual(x.place, place_obj2)
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with paddle.device.device_guard(place_obj2):
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xx = paddle.randn([2, 2]) # create on place1
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self.assertEqual(xx.place, place_obj2)
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self.assertNotEqual(xx.place, place_obj1)
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with paddle.device.device_guard(place_obj1):
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xxx = paddle.randn([2, 2]) # create on place1
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self.assertEqual(xxx.place, place_obj1)
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self.assertNotEqual(xxx.place, place_obj2)
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with paddle.device.device_guard(place_obj2):
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xxxx = paddle.randn([2, 2]) # create on place1
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self.assertEqual(xxxx.place, place_obj2)
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self.assertNotEqual(xxxx.place, place_obj1)
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self.assertEqual(xxxx.place, place_obj2)
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self.assertNotEqual(xxxx.place, place_obj1)
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self.assertEqual(xxx.place, place_obj1)
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self.assertNotEqual(xxx.place, place_obj2)
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self.assertEqual(xx.place, place_obj2)
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self.assertNotEqual(xx.place, place_obj1)
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self.assertEqual(x.place, place_obj1)
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self.assertNotEqual(x.place, place_obj2)
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def test_place_str_cuda(self):
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if (
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paddle.device.is_compiled_with_cuda() or is_custom_device()
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) and not paddle.device.is_compiled_with_rocm():
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with paddle.device.device_guard(get_device()):
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tensor_cuda = paddle.randn([3, 3], device="cuda:0")
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self.assertEqual(tensor_cuda.place, get_device_place())
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if __name__ == "__main__":
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unittest.main()
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