18773: --match-submitter-images to compare the local docker image with Arvados

[arvados.git] / sdk / cwl / arvados_cwl / arv-cwl-schema-v1.0.yml

diff --git a/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.0.yml b/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.0.yml
index 6f5e7980dbb7576918b97e736abbdf4240e91748..d5efa31a00c735b5380a63083d4789088d59d563 100644 (file)
--- a/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.0.yml
+++ b/sdk/cwl/arvados_cwl/arv-cwl-schema-v1.0.yml
@@ -331,29 +331,41 @@ $graph:
         mapPredicate: propertyValue
 
 
-- name: CUDARequirement
+- name: cwltool:CUDARequirement
   type: record
   extends: cwl:ProcessRequirement
   inVocab: false
   doc: |
-    Require support for Nvidia CUDA (GPU hardware acceleration).
+    Require support for NVIDA CUDA (GPU hardware acceleration).
   fields:
     class:
       type: string
-      doc: 'arv:CUDARequirement'
+      doc: 'cwltool:CUDARequirement'
       jsonldPredicate:
         _id: "@type"
         _type: "@vocab"
-    minCUDADriverVersion:
+    cudaVersionMin:
       type: string
-      doc: Minimum CUDA driver version to run the software, in X.Y format of the associated CUDA SDK release.
-    minCUDAHardwareCapability:
+      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.
-    minDeviceCount:
+    deviceCountMin:
       type: int?
       default: 1
-      doc: Minimum number of GPU devices to request, or 1.
-    maxDeviceCount:
+      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 `minDeviceCount`.
+      doc: Maximum number of GPU devices to request.  If not specified, same as `deviceCountMin`.