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1.transformer介绍 Transformer被认为是一种新型的深度前馈人工神经网络架构,它利用了自注意机制,可以处理输入序列项之间的长期相关性。 在大量领域中采用,如自然语言处理(NLP)、计算机视觉(CV)、,音频和语音处理、化学和生命科学;他们可以在前面提到的学科中实现SOTA性能。 TransformerX库存储库 1.1 注意力机制 注意力...
const Transformer = code => code;The difference though is that instead of code being of type string - it is actually in the form of an abstract syntax tree (AST), described below. With it we can do powerful things like updating, replacing, adding, & deleting nodes....
CoTexT: Multi-task Learning with Code-Text Transformer 基于Transformer 的 代码-文本 多任务学习 链接: https://arxiv.org/abs/2105.08645v4arxiv.org/abs/2105.08645v4 0:摘要 我们提出了CoTexT,一种预先训练过的、基于转换的编码器-解码器模型,它可以学习自然语言(NL)和编程语言(PL)之间的代表性上下...
为了说明oneflow在大模型训练和推理上的高效性,继上次对glm10b模型的训练优化工作 之后,我们对CodeGeeX模型的推理进行优化。在oneflow团队的优化下,CodeGeeX可以使用oneflow的后端进行推理并且在FP16和INT8模式的推理速度均可以超过CodeGeeX团队基于FasterTransformer的方案(基于NVIDIA A100显卡进行测试)。oneflow的推理方案...
Transform Salesforce Apex code coverage JSONs created during deployments and test runs into other formats accepted by SonarQube, GitHub, GitLab, Azure, Bitbucket, etc.. Latest version: 2.11.6, last published: 3 days ago. Start using apex-code-coverage-tr
On the other hand, by using transformers to model pairwise relationships within an unordered set of features, Chromoformer could learn how the information mediated by histone code is propagated from pCREs to core promoters through 3D chromatin folding to regulate gene expression. Analysis of the ...
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The IntelliCode whole line completion task is modeled to predict a sequence of tokens 𝑀 = {𝑚i}, i = 1…𝑁, conditioned on preceding code tokens {𝑐𝑡}, 𝑡 = 1…𝑇. We need to estimate the following conditional probability distribution: ...