dongrixinyu
dongrixinyu
> Hi 我的 https://github.com/howl-anderson/hanzi_char_featurizer 项目实现了特征到向量表示的接口，欢迎使用。 只有 0-1编码这一种方式吗？
> 机器翻译有很多方法和模型,最常见的是Seq2Seq+attention的模型,是一个先编码后解码的过程. 本方法借鉴序列标注的思路,从文献的实验结果看具有训练和推理速度快, 对语料规模要求低等优点.就是在大语料上不比Seq2Seq+attention模型差,在小规模语料上优势显著. 我想问的是，这种方式转换的句子，表述已经不一样了，还可以保持分类标签的有效性嘛？是不是对某些情况是不适用的
太空泛了，无法回答
you could use `pip install twine` and `twine upload [your whl file path]` to upload your package to the pypi source
Float16 is much faster than float32 and float64. So as a JIT tool for python, it is extremely neccesary to support float16 type.
> Currently `float16` is supported in CUDA (maybe not everything in the latest release, but on `main` at least). We are still working on adding `float16` for CPU targets. Does...
> @dongrixinyu I am currently working on float16 support for the cpu and @gmarkall is correct, support for LLVM's compiler-rt will be required for targets that do not support float16...
> @dongrixinyu I am currently working on float16 support for the cpu and @gmarkall is correct, support for LLVM's compiler-rt will be required for targets that do not support float16...
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