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README.md

V-Ray conda package recipe

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 archive file

  • Download the vraystd_adv_71000_rhel8_clang-gcc-11.2 (x86) or vraystd_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 the conda_recipes/archive_files directory in your git clone of the deadline-cloud-samples repository.

Build the package on Deadline Cloud

From the conda_recipes directory, run the following command to submit a package build job to your package build farm.

$ ./submit-package-job vray

The 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.