bayesflow-org/bayesflow

Add Padding to Adapter

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#415 opened on Apr 15, 2025

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featuregood first issueuser interface

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Description

See #370.

We would like to add padding functionality to the Adapter in order to speed up computations when simulator outputs differ in size. For example:

adapter.pad("y", size=100, axis=-2)

when given y.shape == (32, N, 2) outputs y.shape == (32, 100, 2) for N < 100 and errors for N > 100.

Contributor guide

Research direction
Explore the Adapter class implementation to understand its tensor operations, then implement a pad method that accepts axis and size, handling both less than and greater than cases with appropriate errors.
Tech stack
python
Domain
machine learningaidata
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.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60