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cbench-1.3.1
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مشاهده بیشترتوضیحات
A cross-platform client to perform collaborative and reproducible benchmarking, optimization and co-design of software and hardware for emerging workloads (AI, ML, quantum, IoT) via the open cKnowledge.io portal
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cbench-1.3.1 |
| نام | cbench |
| نسخه کتابخانه | 1.3.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Grigori Fursin |
| ایمیل نویسنده | Grigori.Fursin@cTuning.org |
| آدرس صفحه اصلی | https://cKnowledge.io |
| آدرس اینترنتی | https://pypi.org/project/cbench/ |
| مجوز | Apache Software License (Apache 2.0) |
[](https://badge.fury.io/py/cbench)
[](https://pypi.org/project/cbench)
[](https://opensource.org/licenses/Apache-2.0)
Linux/MacOS: [](https://travis-ci.org/ctuning/cbench)
Windows: [](https://ci.appveyor.com/project/gfursin/cbench)
## News
We have successfully completed the prototyping phase of the Collective Knowledge technology
to make it easier to reproduce AI&ML and deploy it in production with the help of portable CK workflows, reusable artifacts and MLOps
as described in this [white paper](https://arxiv.org/abs/2006.07161)
and the [CK presentation](https://cKnowledge.io/presentation/ck).
We are now preparing the second phase of this project to make CK simpler to use, more stable and more user friendly -
don't hesitate to get in touch with the [CK author](https://cKnowledge.io/@gfursin) to know more!
## Introduction
cBench is a small and cross-platform framework
connected with the [open Collective Knowledge portal](https://cKnowledge.io)
to help researchers and practitioners
[reproduce ML&systems research](https://cKnowledge.io/reproduced-papers)
on their own bare-metal platforms, participate in collaborative
benchmarking and optimization,
and share results on [live scoreobards](https://cKnowledge.io/reproduced-results).
You can try to reproduce MLPerf inference benchmark on your machine using [this solution](https://cKnowledge.io/test)
and see public results from the community on this [scoreboard](https://cknowledge.io/c/result/sota-mlperf-object-detection-v0.5-crowd-benchmarking).
cBench is a part of the [Collective Knowledge project (CK)](https://cKnowledge.org)
and uses [portable CK solutions](https://cknowledge.io/docs/intro/introduction.html#portable-ck-solution)
to describe how to download, build, benchmark and optimize applications
across different hardware, software, models and data sets.
## Platform support:
| | As a host platform | As a target platform |
|---------------|:------------------:|:--------------------:|
| Generic Linux | ✓ | ✓ |
| Linux (Arm) | ✓ | ✓ |
| Raspberry Pi | ✓ | ✓ |
| MacOS | ✓ | ± |
| Windows | ✓ | ✓ |
| Android | ± | ✓ |
| iOS | TBD | TBD |
## Object detection crowd-benchmarking demo on Ubuntu
Install prerequisites:
```
sudo apt update
sudo apt install git wget libz-dev curl cmake
sudo apt install gcc g++ autoconf autogen libtool
sudo apt install libfreetype6-dev
sudo apt install python3.7-dev
sudo apt install -y libsm6 libxext6 libxrender-dev
```
Install cbench:
```
python3 -m pip install cbench
```
Initialize the [CK solution for MLPerf](https://cknowledge.io/solution/demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows):
```
cb init demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows
```
Participate in crowd-benchmarking:
```
cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows
```
See your results on a public [SOTA dashboard](https://cknowledge.io/c/result/sota-mlperf-object-detection-v0.5-crowd-benchmarking).
You can also use the stable Docker image to participate in crowd-benchmarking:
```
sudo docker run ctuning/cbench-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows /bin/bash -c "cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows"
```
You can also check [all dependencies for this solution](https://cknowledge.io/solution/demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows/#dependencies).
## Documentation
* [Online docs for the Collective Knowledge technology](https://cKnowledge.io/docs)
## Feedback
* This is an ongoing project - don't hesitate to [contact us](https://cKnowledge.org/contacts.html)
if you have any feedback and suggestions!
## Acknowledgments
We would like to thank all [CK partners](https://cKnowledge.org/partners.html)
for fruitful discussions and feedback!
*Copyright 2020 [cTuning foundation](https://cTuning.org)*
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=2.7 | Python |
نحوه نصب
نصب پکیج whl cbench-1.3.1:
pip install cbench-1.3.1.whl
نصب پکیج tar.gz cbench-1.3.1:
pip install cbench-1.3.1.tar.gz