Metadata-Version: 2.1
Name: codewithgpu-test
Version: 0.1.1
Summary: CodeWithGPU Python Client
Home-page: https://github.com/seetacloud/codewithgpu
Author: SeetaCloud
License: Apache License
Description: # CodeWithGPU
        
        <p align="center">
          <img width="100%" src="https://dragon.seetatech.com/download/codewithgpu/assets/banner.png"/>
        </>
        
        [CodeWithGPU](https://www.codewithgpu.com) is a community that focuses on the reproducible AI algorithms. It has close links with [Github](https://www.github.com) by leveraging the managed code, and distributes corresponding docker images, models and logs for friendly reproduction.
        
        This repository provides a novel data loading solution that maps data between Python object and serialized bytes automatically. This solution encourages developers to build a hierarchical data loading pipeline, which decouples the reading, transforming and batching. Similar solution, such as [NVIDIA DALI](https://developer.nvidia.com/dali), is widely deployed in many HPC systems and ML benchmarks.
        
        Besides, it considers a modular and asynchronous design for the inference of AI models. Developers can easily serve their models on distributed devices by creating a many-to-many "Producer-Consumer" dataflow, and the flow control is dealt by the synchronous queues. By this way, model serving resembles training and can also get great benefit from the efficient data loader.
        
        Also, it develops the benchmarks of modern AI models on diverse accelerators, including the newest NVIDIA GPUs and Apple Silicon processors. It will help users to match their demand on picking the best suitable devices. ***“The more reasonable GPUs you buy, the more money you save.”***
        
        ## Installation
        
        Install from PyPI:
        
        ```bash
        pip install codewithgpu
        ```
        
        Or, clone this repository to local disk and install:
        
        ```bash
        cd codewithgpu && pip instsall .
        ```
        
        You can also install from the remote repository: 
        
        ```bash
        pip install git+ssh://git@github.com/seetacloud/codewithgpu.git
        ```
        
        ## Quick Start
        
        ### Deploy Image Inference Application
        
        See [Example: Image Inference](examples/image_inference.py).
        
        ### Use Record Dataset To Accelerate Data Loading
        
        See [Example: Record Dataset](examples/record_dataset.py).
        
        ### Model Benchmarks
        
        See [Doc: Model Benchmarks](benchmarks/models/README.md).
        
        ## License
        [Apache License 2.0](LICENSE)
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
