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#
# 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.
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""" UT for air_topp_sampling kernel """

import paddle
import unittest
import numpy as np
import fastdeploy.model_executor.ops.gpu


class Test(unittest.TestCase):
    def setUp(self):
        """
        Initialize.
        """
        paddle.seed(2024)
        np.random.seed(42)
        print(paddle.device.cuda.get_device_properties())
        print(paddle.__git_commit__)

    def test_air_topp_sampling(self):
        """
        Check air_topp_sampling output with paddle.tensor.top_p_sampling.
        """
        prop = paddle.device.cuda.get_device_properties()
        cc = prop.major * 10 + prop.minor
        if cc < 89:
            self.skipTest("air_topp_sampling only support sm89+")
        x = paddle.randn([1, 100])
        x = paddle.nn.functional.softmax(x)
        x = paddle.cast(x, "float32")
        top_ps = paddle.to_tensor(np.random.uniform(0, 1, [1]).astype(np.float32))
        out = fastdeploy.model_executor.ops.gpu.air_topp_sampling(
            x.cuda(), top_ps.cuda(), None, None, seed=0, k=1, mode="truncated"
        )


if __name__ == "__main__":
    unittest.main()