facebookarchive/caffe2

Accuracy requires INT32 while OneHot requires INT64

Open

#1,402 opened on Oct 30, 2017

View on GitHub
 (1 comment) (0 reactions) (0 assignees)Shell (8,424 stars) (1,954 forks)batch import
enhancementhelp wanted

Description

The operator Accuracy() takes parameter labels as type core.DataType.INT32. OneHot() takes parameter indices as type core.DataType.INT64. LabelCrossEntropy() takes label as type core.DataType.INT32. It's a bit waste of time to cast the label back and forth, hope there is alignment. Thx.

Contributor guide

Tech stack
pythoncpp
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
understanding of Caffe2 operator API
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50
Research direction
The Accuracy operator expects INT32 labels while OneHot expects INT64 indices, causing a type mismatch. To resolve, examine the source files for AccuracyOp, OneHotOp, and LabelCrossEntropyOp in the caffe2/operators directory to understand their label parameter types. Then propose a consistent type (e.g., change OneHot to use INT32) and update the corresponding tests and documentation. The single comment on the issue may provide additional context.