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54 lines
2.0 KiB
Python
54 lines
2.0 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.ops.gpu import speculate_get_output_padding_offset
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class TestSpeculateGetOutputPaddingOffset(unittest.TestCase):
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def test_speculate_get_output_padding_offset(self):
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bsz = 256
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max_seq_len = 8192
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seq_lens_output = np.random.randint(0, 4, size=bsz)
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output_token_num = np.sum(seq_lens_output)
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seq_lens_output = paddle.to_tensor(seq_lens_output, dtype="int32")
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out_token_num = paddle.sum(seq_lens_output).astype("int32")
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output_cum_offsets_tmp = paddle.cumsum(max_seq_len - seq_lens_output).astype("int32")
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output_padding_offset_gpu, output_cum_offsets_gpu = speculate_get_output_padding_offset(
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output_cum_offsets_tmp, out_token_num, seq_lens_output, max_seq_len
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)
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output_padding_offset_ref = [-1] * output_token_num
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output_cum_offsets_ref = [-1] * bsz
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for bi in range(bsz):
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cum_offset = 0 if bi == 0 else output_cum_offsets_tmp[bi - 1]
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output_cum_offsets_ref[bi] = cum_offset
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for token_i in range(seq_lens_output[bi]):
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output_padding_offset_ref[bi * max_seq_len - cum_offset + token_i] = cum_offset
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np.testing.assert_allclose(output_padding_offset_gpu, output_padding_offset_ref)
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np.testing.assert_allclose(output_cum_offsets_gpu, output_cum_offsets_ref)
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if __name__ == "__main__":
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unittest.main()
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