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Rav1e
Daily regression tests running on the following platforms :
PlatformDockerHub Official Image TestsBareMetal TestsAmpere Docker Tests
Ampere CIDR Altra1
Ampere CIDR Altra Max1
Equinix1
OCI Ampere A1 Compute1

Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. Ampere's CIDR regression infrastructure uses images taken from a variety of sources. In this case, rav1e the open source project found here. The regression runs on bare metal rather than in a container. Results are found below in the Test Results section of this page.

More information on

Ampere CIDR Regression Suites
. Information on rav1e Native Application on Bare Metal

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OCI Ampere A1 Bare Metal
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rav1e
video encoder
Overview

rav1e

rav1e is an experimental AV1 video encoder. It is designed to eventually cover all use cases, though in its current form it is most suitable for cases where libaom (the reference encoder) is too slow. Features

  • Intra and inter frames
  • 64x64 superblocks
  • 4x4 to 64x64 RDO-selected square and 2:1/1:2 rectangular blocks
  • DC, H, V, Paeth, smooth, and a subset of directional prediction modes
  • DCT, ADST and identity transforms (up to 64x64, 16x16 and 32x32 respectively)
  • 8-, 10- and 12-bit depth color
  • 4:2:0 (full support), 4:2:2 and 4:4:4 (limited) chroma sampling
  • Variable speed settings
  • Near real-time encoding at high speed levels

This article uses material from the Wikipedia article rav1e, which is released under the Creative Commons Attribution-Share-Alike License 3.0.

DETAILS

Resources and Test Results

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Visit the Official Home Page

See Image Source

Continuous Test Infrastructure

Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).

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CIDR Demo

Test Information

Our testing runs 24/7/365 in our regression infrastructure.

Basic Functional Test

Verified vs. Unverified

Results are categorized as either 'Verified' or 'Unverified'.

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Test Notes

Test and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.

DockerHub Introduces Image Pull Limits (2020.11)

Test Systems

Date,Platform and OS details of verified test results are displayed on hover bubble.

Feedback

To give feedback on this portal please send us a message at

developer@amperecomputing.com

Test Results:
Verified Tests
Unverified
Code changed
Code Change
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