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paddlepaddle--paddle/test/xpu/test_xpu_memory_used.py
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2026-07-13 12:40:42 +08:00

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Python

# 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
from paddle.base import core
from paddle.device.xpu import device_count, memory_used
class TestMemoryUsed(unittest.TestCase):
def test_memory_used(self, device=None):
if core.is_compiled_with_xpu():
tensor = paddle.zeros(shape=[256])
alloc_size = 4 * 256 # 256 float32 data, with 4 bytes for each one
memory_used_size = memory_used(device)
self.assertGreaterEqual(memory_used_size, alloc_size)
def test_memory_used_for_all_places(self):
if core.is_compiled_with_xpu():
xpu_num = device_count()
for i in range(xpu_num):
paddle.device.set_device("xpu:" + str(i))
self.test_memory_used(core.XPUPlace(i))
self.test_memory_used(i)
self.test_memory_used("xpu:" + str(i))
def test_memory_used_exception(self):
if core.is_compiled_with_xpu():
wrong_device = [
core.CPUPlace(),
device_count() + 1,
-2,
0.5,
"xpu1",
]
for device in wrong_device:
with self.assertRaises(BaseException): # noqa: B017
memory_used(device)
else:
with self.assertRaises(ValueError):
memory_used()
if __name__ == "__main__":
unittest.main()