https://github.com/saladtechnologies/bark-benchmark

A benchmark worker for managing the Bark inference server
https://github.com/saladtechnologies/bark-benchmark

Last synced: 6 days ago
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A benchmark worker for managing the Bark inference server

• Host: GitHub
• URL: https://github.com/saladtechnologies/bark-benchmark
• Owner: SaladTechnologies
• Created: 2023-09-19T17:40:34.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-27T19:21:59.000Z (about 1 year ago)
• Last Synced: 2024-04-22T20:26:52.486Z (7 months ago)
• Language: TypeScript
• Size: 1.27 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# bark-benchmark

This project benchmarks the performance of the Bark model, using a preconfigured [Bark image](https://hub.docker.com/r/saladtechnologies/bark).

## Getting Started

To get started with this project, you will need to have Docker installed on your system. Once you have Docker installed, you can run the following command to start the sdnext container:

```bash

docker run --gpus all \

-e BENCHMARK_SIZE=-1 \

-e REPORTING_URL=https://someurl.com \

-e REPORTING_API_KEY=1234567890 \

-e BENCHMARK_ID=bark-benchmark-0 \

saladtechnologies/bark-benchmark:latest

```

or

```bash

docker compose up

```

The `BENCHMARK_SIZE` environment variables can be adjusted to change the size of the benchmark (total images to generate). It can be set to `-1` in order to run the benchmark indefinitely. It should be noted that this is a per-node limit. This value is unaware of other benchmark workers that may be running.

## Build the image

To build the image, run the following command:

```bash

docker buildx build \

-t saladtechnologies/bark-benchmark:latest \

--provenance=false \

--output type=docker \

.

```