Search Results for "batch image processor"

...Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand.

xcode_shell is a collection of shell scripts designed to automate common tasks in iOS development, such as building .ipa packages, publishing apps, and managing project assets. Although largely superseded by modern tools like fastlane and fir-cli, this project demonstrates how developers previously streamlined their workflows with custom scripts. The repository includes utilities to compile Xcode projects and workspaces, handle CocoaPods builds, publish .ipa files to private servers or...