45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright (c) 2026 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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import paddle
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from paddle.base import core
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@unittest.skipIf(
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not core.is_compiled_with_cuda(),
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"flashmask_get_unique_id requires CUDA",
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)
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class TestFlashmaskGetUniqueId(unittest.TestCase):
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"""paddle.nn.functional.flashmask_get_unique_id returns a uint8 CPU tensor
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This tensor can either be all-zero (WITH_NVSHMEM=OFF) or valid NVSHMEM unique_id
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"""
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def test_unique_id_tensor_properties(self):
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unique_id = paddle.nn.functional.flashmask_get_unique_id()
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self.assertTrue(
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unique_id.place.is_cpu_place(), "unique_id should be on CPU"
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)
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self.assertEqual(
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unique_id.dtype, paddle.uint8, "unique_id dtype should be uint8"
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)
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self.assertEqual(
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unique_id.numel(), 128, "unique_id numel should be 128"
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)
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if __name__ == "__main__":
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unittest.main()
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