wehub-resource-sync
105 lines
3.1 KiB
Python
105 lines
3.1 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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from __future__ import annotations
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import unittest
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from contextlib import contextmanager
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from test_case_base import (
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TestCaseBase,
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test_instruction_translator_cache_context,
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)
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import paddle
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from paddle.jit.sot.psdb import check_no_breakgraph
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@contextmanager
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def device_guard(place: str):
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original_place = paddle.get_device()
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try:
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paddle.set_device(place)
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yield
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finally:
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paddle.set_device(original_place)
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@check_no_breakgraph
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def run_diff_logic_by_check_expected_place(x: paddle.Tensor):
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expected_place_str = paddle.get_device()
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if "cpu" in expected_place_str:
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return x + 1
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elif expected_place_str.startswith("gpu"):
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return x + 2
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elif "xpu" in expected_place_str:
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return x + 3
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elif "npu" in expected_place_str:
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return x + 4
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return x
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class TestCheckExpectedPlace(TestCaseBase):
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def test_check_cpu(self):
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x = paddle.to_tensor(0.0)
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with device_guard("cpu"):
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self.assert_results(run_diff_logic_by_check_expected_place, x.cpu())
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@unittest.skipUnless(
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paddle.is_compiled_with_cuda(),
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"This test case needs to be compiled with CUDA",
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)
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def test_check_gpu(self):
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x = paddle.to_tensor(0.0)
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with device_guard("gpu"):
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self.assert_results(
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run_diff_logic_by_check_expected_place, x.cuda()
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)
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@unittest.skipUnless(
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paddle.is_compiled_with_xpu(),
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"This test case needs to be compiled with XPU",
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)
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def test_check_xpu(self):
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x = paddle.to_tensor(0.0)
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with device_guard("xpu"):
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self.assert_results(
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run_diff_logic_by_check_expected_place, x.to("xpu")
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)
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class TestExpectedPlaceGuard(TestCaseBase):
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@unittest.skipUnless(
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paddle.is_compiled_with_cuda(),
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"This test case needs to be compiled with cuda",
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)
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def test_expected_place_guard(self):
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x = paddle.to_tensor(0.0)
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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with device_guard("cpu"):
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self.assert_results(
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run_diff_logic_by_check_expected_place, x.cpu()
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)
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self.assertEqual(ctx.translate_count, 1)
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with device_guard("gpu"):
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self.assert_results(
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run_diff_logic_by_check_expected_place, x.cuda()
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)
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self.assertEqual(ctx.translate_count, 2)
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if __name__ == "__main__":
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unittest.main()
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