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https://github.com/PaddlePaddle/FastDeploy.git
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chen
47 lines
1.6 KiB
Python
47 lines
1.6 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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import unittest
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import numpy as np
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import paddle
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from fastdeploy.model_executor.layers.sample.logprobs import batched_count_greater_than
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class TestBatchedCountGreaterThan(unittest.TestCase):
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def setUp(self) -> None:
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pass
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def naive_impl(self, x, y):
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return (x >= y).sum(-1)
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def test_batched_count_greater_than(self):
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vocab_size_list = [151552, 566]
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test_token_nums = [1, 32, 128, 1024, 8192]
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for idx, num_tokens in enumerate(test_token_nums):
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for vocab_size in vocab_size_list:
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x = paddle.randn([num_tokens, vocab_size], dtype="float32")
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y = paddle.randn([num_tokens, 1], dtype="float32")
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x[0, 0] = -float("inf")
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y[0, 0] = -float("inf")
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out = self.naive_impl(x, y)
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out_triton = batched_count_greater_than(x, y)
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self.assertTrue(np.allclose(out.numpy(), out_triton.numpy()))
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return out
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if __name__ == "__main__":
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unittest.main()
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