tf.nest package when we dev theese code , flatten and map_structure pack_sequence_as are need eagerly
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 15/100
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.
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.
- Dominant language
- Java
- Stars
- 928
- Forks
- 227
- PR merge metrics
- No merged PRs in 30d
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.
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