Feature request: add layer for darts lookup table?
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
- cpp, tensorflow
- Domain
- backend-api-design, machine-learning
Research direction
Start with the issue's proposed build, common-prefix search, and exact-match search APIs, including their tensor inputs and outputs. Define the implementation scope and validation needed for a TensorFlow Text layer, with done meaning the three requested operations and default-value behavior are specified and supported.
Written by the indexing model from the issue text.
Description
In some cases, it can be more efficient and memory-efficient than hashtable in tensorflow.
It should be great if darts lookup table has following methods
- build:
- Arguments: strings tensors(key), int tensors(values), and default value
- common prefix search:
- Arguments: string tensors
- Returns: ragged tensor for searched results, and results' value
- exact match search:
- Arguments: string tensors
- Returns: searched value, or default value for unknown strings
- Dominant language
- C++
- Stars
- 1.3k
- Forks
- 379
- Avg merge
- 3h 30m
- Merged PRs (30d)
- 8
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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