- 17 8月, 2022 1 次提交
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由 Nyakku Shigure 提交于
[CodeStyle][NPU] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 1) (#44988) * autofix * try resolve precision issues * revert some changes * clean some `err_msg` * 0.0001 -> 1e-4 * update commented assert code * try to fix some shape errors * `numpy` -> `np` * empty commit, trigger kunlun ci, test=kunlun * empty commit, retrigger kunlun ci, test=kunlun * empty commit, trigger kunlun ci, try fix npu memcpy_h2d, test=kunlun * try fix npu import error, test=kunlun
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- 13 6月, 2022 1 次提交
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由 YuanRisheng 提交于
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- 05 6月, 2022 1 次提交
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由 Sing_chan 提交于
* use yapf to format all python file * yapf exclude two unittests file for they rely on writing and reading file, and format will break them * disable diff_py_file because too many diff files cause command following failed
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- 17 5月, 2022 1 次提交
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由 Chen Weihang 提交于
* adapt faster tokenizer op * add eager test * add unittest
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- 24 4月, 2022 1 次提交
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由 pangyoki 提交于
* test=py3-eager * test=py3-eager * test=py3-eager
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- 25 3月, 2022 1 次提交
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由 Jiabin Yang 提交于
* refactor eager flags * fix flags error when we switch from eager to dygraph * fix ci problem * fix ci * fix ci * merge develop and fix code style * merge develop and fix code style * fix op test error * fix op test error * fix op test error * fix op test error * fix op test error * merge develop
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- 22 12月, 2021 1 次提交
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由 Zhanlue Yang 提交于
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- 20 10月, 2021 1 次提交
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由 Steffy-zxf 提交于
Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent. * support the text string as an input Tensor * support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens * Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization. * It first applies basic tokenization, followed by wordpiece tokenization.
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