X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/7af0535d3b0d7960152b06b7211c26bfd7b208cb..32030bce1b67218c91a8ed2a0287ec973221c5f7:/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.2.yml diff --git a/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.2.yml b/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.2.yml index dd5919fc88..e95b6543fd 100644 --- a/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.2.yml +++ b/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.2.yml @@ -239,3 +239,78 @@ $graph: - type: array items: string doc: One or more storages classes + + +- type: record + name: PropertyDef + doc: | + Define a property that will be set on the submitted container + request associated with this workflow or step. + fields: + - name: propertyName + type: string + doc: The property key + - name: propertyValue + type: [Any] + doc: The property value + + +- name: ProcessProperties + type: record + extends: cwl:ProcessRequirement + inVocab: false + doc: | + Specify metadata properties that will be set on the submitted + container request associated with this workflow or step. + fields: + class: + type: string + doc: "Always 'arv:ProcessProperties" + jsonldPredicate: + _id: "@type" + _type: "@vocab" + processProperties: + type: PropertyDef[] + jsonldPredicate: + mapSubject: propertyName + mapPredicate: propertyValue + + +- name: cwltool:CUDARequirement + type: record + extends: cwl:ProcessRequirement + inVocab: false + doc: | + Require support for NVIDA CUDA (GPU hardware acceleration). + fields: + class: + type: string + doc: 'cwltool:CUDARequirement' + jsonldPredicate: + _id: "@type" + _type: "@vocab" + cudaVersionMin: + type: string + doc: | + Minimum CUDA version to run the software, in X.Y format. This + corresponds to a CUDA SDK release. When running directly on + the host (not in a container) the host must have a compatible + CUDA SDK (matching the exact version, or, starting with CUDA + 11.3, matching major version). When run in a container, the + container image should provide the CUDA runtime, and the host + driver is injected into the container. In this case, because + CUDA drivers are backwards compatible, it is possible to + use an older SDK with a newer driver across major versions. + + See https://docs.nvidia.com/deploy/cuda-compatibility/ for + details. + cudaComputeCapabilityMin: + type: string + doc: Minimum CUDA hardware capability required to run the software, in X.Y format. + deviceCountMin: + type: int? + default: 1 + doc: Minimum number of GPU devices to request, default 1. + deviceCountMax: + type: int? + doc: Maximum number of GPU devices to request. If not specified, same as `deviceCountMin`.