wehub-resource-sync
112 lines
4.5 KiB
Python
112 lines
4.5 KiB
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
|
|
|
|
from op_test import get_device_place, is_custom_device
|
|
|
|
import paddle
|
|
|
|
|
|
class TestPybindPlace(unittest.TestCase):
|
|
def test_cpu_place(self):
|
|
pybind_place = paddle.CPUPlace()
|
|
self.assertEqual(pybind_place, pybind_place)
|
|
tensor_place = paddle.randn([2, 2]).to(device="cpu").place
|
|
self.assertEqual(pybind_place, tensor_place)
|
|
self.assertEqual(tensor_place, pybind_place)
|
|
self.assertEqual(tensor_place, tensor_place)
|
|
|
|
tensor_place_2 = paddle.randn([2, 2]).to(device="cpu").place
|
|
self.assertEqual(tensor_place_2, tensor_place)
|
|
self.assertEqual(tensor_place, tensor_place_2)
|
|
|
|
pybind_place_2 = paddle.CPUPlace()
|
|
self.assertEqual(pybind_place, pybind_place_2)
|
|
|
|
def test_cuda_place(self):
|
|
if paddle.device.is_compiled_with_cuda() or is_custom_device():
|
|
pybind_place = get_device_place()
|
|
self.assertEqual(pybind_place, pybind_place)
|
|
tensor_place = paddle.randn([2, 2]).place
|
|
self.assertEqual(pybind_place, tensor_place)
|
|
self.assertEqual(tensor_place, pybind_place)
|
|
self.assertEqual(tensor_place, tensor_place)
|
|
|
|
tensor_place_2 = paddle.randn([2, 2]).place
|
|
self.assertEqual(tensor_place_2, tensor_place)
|
|
self.assertEqual(tensor_place, tensor_place_2)
|
|
|
|
pybind_place_2 = get_device_place()
|
|
self.assertEqual(pybind_place, pybind_place_2)
|
|
else:
|
|
self.skipTest("Skip as paddle is not compiled with cuda")
|
|
|
|
def test_xpu_place(self):
|
|
if paddle.device.is_compiled_with_xpu():
|
|
pybind_place = paddle.XPUPlace(0)
|
|
self.assertEqual(pybind_place, pybind_place)
|
|
tensor_place = paddle.randn([2, 2]).place
|
|
self.assertEqual(pybind_place, tensor_place)
|
|
self.assertEqual(tensor_place, pybind_place)
|
|
self.assertEqual(tensor_place, tensor_place)
|
|
|
|
tensor_place_2 = paddle.randn([2, 2]).place
|
|
self.assertEqual(tensor_place_2, tensor_place)
|
|
self.assertEqual(tensor_place, tensor_place_2)
|
|
|
|
pybind_place_2 = paddle.XPUPlace(0)
|
|
self.assertEqual(pybind_place, pybind_place_2)
|
|
else:
|
|
self.skipTest("Skip as paddle is not compiled with xpu")
|
|
|
|
def test_custom_place(self):
|
|
if paddle.device.is_compiled_with_custom_device("FakeCPU"):
|
|
pybind_place = paddle.CustomPlace("FakeCPU", 0)
|
|
self.assertEqual(pybind_place, pybind_place)
|
|
tensor_place = paddle.randn([2, 2]).place
|
|
self.assertEqual(pybind_place, tensor_place)
|
|
self.assertEqual(tensor_place, pybind_place)
|
|
self.assertEqual(tensor_place, tensor_place)
|
|
|
|
tensor_place_2 = paddle.randn([2, 2]).place
|
|
self.assertEqual(tensor_place_2, tensor_place)
|
|
self.assertEqual(tensor_place, tensor_place_2)
|
|
|
|
pybind_place_2 = paddle.CustomPlace("FakeCPU", 0)
|
|
self.assertEqual(pybind_place, pybind_place_2)
|
|
else:
|
|
self.skipTest("Skip as paddle is not compiled with custom device")
|
|
|
|
def test_ipu_place(self):
|
|
if paddle.device.is_compiled_with_ipu():
|
|
pybind_place = paddle.IPUPlace()
|
|
self.assertEqual(pybind_place, pybind_place)
|
|
tensor_place = paddle.randn([2, 2]).place
|
|
self.assertEqual(pybind_place, tensor_place)
|
|
self.assertEqual(tensor_place, pybind_place)
|
|
self.assertEqual(tensor_place, tensor_place)
|
|
|
|
tensor_place_2 = paddle.randn([2, 2]).place
|
|
self.assertEqual(tensor_place_2, tensor_place)
|
|
self.assertEqual(tensor_place, tensor_place_2)
|
|
|
|
pybind_place_2 = paddle.IPUPlace()
|
|
self.assertEqual(pybind_place, pybind_place_2)
|
|
else:
|
|
self.skipTest("Skip as paddle is not compiled with ipu")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|