This directory holds a rattler-build recipe for the VRay standalone renderer. See the sample conda recipes README to learn more about the structure of the recipe, and Create a conda channel using S3 in the AWS Deadline Cloud developer guide.
- Download the
vraystd_adv_71000_rhel8_clang-gcc-11.2(x86) orvraystd_adv_71000_rhel8_arm64_clang-gcc-11.2(ARM) full download file from Chaos. Note that you will need a Chaos account to access the link. Place the file in theconda_recipes/archive_filesdirectory in your git clone of the deadline-cloud-samples repository.
From the conda_recipes directory, run the following command to submit a package build job to your package build farm.
$ ./submit-package-job vrayThe submit-package-job command can be run from any platform (macOS, Windows, or Linux) - it submits a job to Deadline Cloud where a Linux worker builds the package and uploads it to your S3 conda channel.
The queue's IAM role needs s3:PutObject permission for the Conda/* prefix in the job attachments bucket to publish the built package.