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57 lines
1.8 KiB
Python
57 lines
1.8 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 unittest
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import numpy as np
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import paddle
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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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print(paddle.device.cuda.get_device_properties())
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print(paddle.__git_commit__)
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def dequant_int8_test(self, dynamic_mode=False):
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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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if not dynamic_mode:
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paddle.enable_static()
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else:
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paddle.disable_static()
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from fastdeploy.model_executor.ops.gpu import dequant_int8
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input_tensor = paddle.cast(paddle.ones([128, 128]), "int32")
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scale_tensor = paddle.cast(paddle.ones([128]), "float32")
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out = dequant_int8(input_tensor, scale_tensor, "float16")
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return out
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def test(self):
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op_out = self.dequant_int8_test()
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exe = paddle.static.Executor()
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exe.run(paddle.static.default_startup_program())
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op_out = exe.run(fetch_list=[op_out])[0]
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func_out = self.dequant_int8_test(True)
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np.testing.assert_allclose(op_out, func_out.numpy(), rtol=1e-04, atol=1e-04)
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if __name__ == "__main__":
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unittest.main()
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