runtimeContext.pull_image,
runtimeContext.project_uuid,
runtimeContext.force_docker_pull,
- runtimeContext.tmp_outdir_prefix)
+ runtimeContext.tmp_outdir_prefix,
+ runtimeContext.match_local_docker)
network_req, _ = self.get_requirement("NetworkAccess")
if network_req:
else:
container_request["output_storage_classes"] = runtimeContext.intermediate_storage_classes.strip().split(",")
+ cuda_req, _ = self.get_requirement("http://commonwl.org/cwltool#CUDARequirement")
+ if cuda_req:
+ runtime_constraints["cuda"] = {
+ "device_count": resources.get("cudaDeviceCount", 1),
+ "driver_version": cuda_req["cudaVersionMin"],
+ "hardware_capability": aslist(cuda_req["cudaComputeCapability"])[0]
+ }
+
if self.timelimit is not None and self.timelimit > 0:
scheduling_parameters["max_run_time"] = self.timelimit
if runtimeContext.debug:
command.append("--debug")
- if runtimeContext.storage_classes != "default":
+ if runtimeContext.storage_classes != "default" and runtimeContext.storage_classes:
command.append("--storage-classes=" + runtimeContext.storage_classes)
- if runtimeContext.intermediate_storage_classes != "default":
+ if runtimeContext.intermediate_storage_classes != "default" and runtimeContext.intermediate_storage_classes:
command.append("--intermediate-storage-classes=" + runtimeContext.intermediate_storage_classes)
if self.on_error: