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
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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
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- 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