Support string as an input type

Open
#94 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
scala, spark, tensorflow

Research direction

No file or test is named. Start by tracing how existing TensorFlow input types are converted when loading a DataFrame into a graph, then compare the handling needed for tf.string arrays; done means string inputs load correctly without first passing through Python.

Written by the indexing model from the issue text.

Description

The tf.string type is required to properly load images into a graph, without having to first go through python. This one may be a bit more tricky than the other types since it is an array type.

Dominant language
Scala
Stars
743
Forks
158
PR merge metrics
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

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.

More from databricks/tensorframes

All issues in databricks/tensorframes

Similar issues

More Scala issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.