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项目作者： GoogleCloudPlatform

项目描述 ：
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
高级语言： Jsonnet
项目地址: git://github.com/GoogleCloudPlatform/ml-testing-accelerators.git
创建时间： 2020-03-04T15:21:13Z
项目社区：https://github.com/GoogleCloudPlatform/ml-testing-accelerators
开源协议：Apache License 2.0
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IMPORTANT: This repository is being deprecated. Please migrate or onboard your ML tests to our new repository here.

ML Testing Accelerators

A set of tools and examples to run machine learning tests on ML hardware
accelerators (TPUs or GPUs) using Google Cloud Platform.

This is not an officially supported Google product.

Getting Started

In this mode, your tests and/or models run on an automated schedule in GKE.
Results are collected by the “Metrics Handler” and written to BigQuery.

  1. Install all of our development prerequisites.
  2. Follow instructions in the deployments directory to set up a Kubernetes Cluster.
  3. Follow instructions in the images directory to set up the Docker image that your tests will run.
  4. Deploy the metrics handler to Google Cloud Functions.
  5. Deploy the event publisher to you GKE cluster.
  6. See templates directory for a JSonnet template library to generate test config files.
  7. (Optional) Set up a dashboard to view test results. See dashboard directory for instructions.

Are you interested in using ML Testing Accelerators? E-mail users@googlegroups.com"">ml-testing-accelerators-users@googlegroups.com and tell us about your use-case. We’re happy to help you get started.