Add method to copy graph operation to new graph or eager operation builder
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- java
- Domain
- backend-api-design, machine-learning
Research direction
Begin by reviewing the Java graph and eager operation APIs, then read the dependencies in issue #302 and tensorflow/tensorflow#50816. Done means defining and implementing a way to copy an operation between graphs or into an eager operation builder, including possible input substitution, with tests covering the supported cases.
Written by the indexing model from the issue text.
Description
There are a number of situations that I have ran into where I need to copy a graph operation to another graph operation, or an eager operation, sometimes substituting inputs. The most important is lifting things to init scopes in functions (it's graph -> eager). This depends on being able to access attributes and input lists (#302) and being able to set them (tensorflow/tensorflow#50816, not 100% necessary but makes things much easier). I plan on implementing it myself once those are both merged, this is a reminder and documentation if someone else ends up doing it.
- 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.
More from tensorflow/java
-
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
tensorflow/java#653 · 1 comment · 4 reactions ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
tensorflow/java#621 · 4 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
tensorflow/java#617 · 3 comments ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
tensorflow/java#615 · 1 comment ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
tensorflow/java#614 · 1 comment ·
Similar issues
-
bug
Difficulty 1/5 Under an hour Newbie friendliness 90/100
apache/cloudstack#14222 ·
-
[BUG]茶杯方块在取茶时会引发崩溃 Open
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
1.0.0-alpha2 Type/Improvement
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
wso2/dpdp-accelerator#272 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
infinispan/infinispan#18150 ·
-
area/frontend
Difficulty 2/5 1-3 hours Newbie friendliness 65/100