tensorflow / tensorflow/java

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

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Dominant language
Java
Stars
928
Forks
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PR merge metrics
No merged PRs in 30d

Description

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.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the tf.nest package and its flatten, map_structure, and pack_sequence_as implementations. The issue provides no reproduction, expected behavior, file paths, or tests, so first determine what “eagerly” means for these APIs and identify existing coverage before defining a completion check.

Written by the indexing model from the issue text.

Assessment

Tech stack
java, tensorflow
Domain
api
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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