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52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
# Copyright (c) 2024 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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""" UT for air_topp_sampling kernel """
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import paddle
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import unittest
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import numpy as np
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import fastdeploy.model_executor.ops.gpu
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class Test(unittest.TestCase):
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def setUp(self):
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"""
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Initialize.
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"""
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paddle.seed(2024)
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np.random.seed(42)
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print(paddle.device.cuda.get_device_properties())
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print(paddle.__git_commit__)
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def test_air_topp_sampling(self):
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"""
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Check air_topp_sampling output with paddle.tensor.top_p_sampling.
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"""
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prop = paddle.device.cuda.get_device_properties()
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cc = prop.major * 10 + prop.minor
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if cc < 89:
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self.skipTest("air_topp_sampling only support sm89+")
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x = paddle.randn([1, 100])
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x = paddle.nn.functional.softmax(x)
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x = paddle.cast(x, "float32")
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top_ps = paddle.to_tensor(np.random.uniform(0, 1, [1]).astype(np.float32))
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out = fastdeploy.model_executor.ops.gpu.air_topp_sampling(
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x.cuda(), top_ps.cuda(), None, None, seed=0, k=1, mode="truncated"
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)
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if __name__ == "__main__":
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unittest.main()
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