# 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, max_memory_reserved, memory_reserved, ) class TestMaxMemoryreserved(unittest.TestCase): def test_max_memory_reserved(self, device=None): if core.is_compiled_with_xpu(): alloc_time = 100 max_alloc_size = 10000 peak_memory_reserved_size = max_memory_reserved(device) for i in range(alloc_time): shape = paddle.randint(max_alloc_size) tensor = paddle.zeros(shape) peak_memory_reserved_size = max( peak_memory_reserved_size, memory_reserved(device) ) del shape del tensor self.assertEqual( peak_memory_reserved_size, max_memory_reserved(device) ) def test_max_memory_reserved_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_max_memory_reserved(core.XPUPlace(i)) self.test_max_memory_reserved(i) self.test_max_memory_reserved("xpu:" + str(i)) def test_max_memory_reserved_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 max_memory_reserved(device) else: with self.assertRaises(ValueError): max_memory_reserved() class TestMaxMemoryreserved_paddle_device(unittest.TestCase): def test_max_memory_reserved(self, device=None): if core.is_compiled_with_xpu(): alloc_time = 100 max_alloc_size = 10000 peak_memory_reserved_size = paddle.device.max_memory_reserved( device ) for i in range(alloc_time): shape = paddle.randint(max_alloc_size) tensor = paddle.zeros(shape) peak_memory_reserved_size = max( peak_memory_reserved_size, paddle.device.memory_reserved(device), ) del shape del tensor self.assertEqual( peak_memory_reserved_size, paddle.device.max_memory_reserved(device), ) def test_max_memory_reserved_for_all_places(self): if core.is_compiled_with_xpu(): xpu_num = paddle.device.device_count() for i in range(xpu_num): paddle.device.set_device("xpu:" + str(i)) self.test_max_memory_reserved(core.XPUPlace(i)) self.test_max_memory_reserved(i) self.test_max_memory_reserved("xpu:" + str(i)) def test_max_memory_reserved_exception(self): if core.is_compiled_with_xpu(): wrong_device = [ core.CPUPlace(), paddle.device.device_count() + 1, -2, 0.5, "xpu1", ] for device in wrong_device: with self.assertRaises(BaseException): # noqa: B017 paddle.device.max_memory_reserved(device) else: with self.assertRaises(ValueError): paddle.device.max_memory_reserved() if __name__ == "__main__": unittest.main()