# DLSpec: A Deep Learning Task Exchange Specification

arXiv: https://arxiv.org/abs/2002.11262 · HTML: https://mlsanity.com/paper/2002.11262/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Feb 2020.

## Built on by (most cited first, 1 of 1)

- [MLHarness: A Scalable Benchmarking System for MLCommons](https://mlsanity.com/paper/2111.05231/) (2021)

## Abstract (arXiv)

Deep Learning (DL) innovations are being introduced at a rapid pace. However, the current lack of standard specification of DL tasks makes sharing, running, reproducing, and comparing these innovations difficult. To address this problem, we propose DLSpec, a model-, dataset-, software-, and hardware-agnostic DL specification that captures the different aspects of DL tasks. DLSpec has been tested by specifying and running hundreds of DL tasks.