tensorflow / tensorflow/java

tf.nest package when we dev theese code , flatten and map_structure pack_sequence_as are need eagerly

未关闭
#467 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

主要语言
Java
星标
928
派生
227
PR 合并指标
30 天内没有已合并 PR

描述

Please make sure that this is a bug. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template

System information

  • Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04 x86_64):
  • TensorFlow installed from (source or binary):
  • TensorFlow version (use command below):
  • Java version (i.e., the output of java -version):
  • Java command line flags (e.g., GC parameters):
  • Python version (if transferring a model trained in Python):
  • Bazel version (if compiling from source):
  • GCC/Compiler version (if compiling from source):
  • CUDA/cuDNN version:
  • GPU model and memory:

Describe the current behavior

Describe the expected behavior

Code to reproduce the issue
Provide a reproducible test case that is the bare minimum necessary to generate the problem.

Other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

首先定位 tf.nest 包及其 flatten、map_structure 和 pack_sequence_as 实现。该 issue 未提供复现、预期行为、文件路径或测试,因此首先确定“eagerly”对这些 API 的含义,并在定义完成检查之前识别现有覆盖范围。

由索引模型根据 Issue 内容生成。

评估

技术栈
java, tensorflow
领域
api
Issue 类型
功能
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
需要澄清
新手友好度
15/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。