[ARVADOS] updated: 2.1.0-2246-g35bc7e567

[Git user]

Summary of changes:
 doc/user/cwl/cwl-extensions.html.textile.liquid | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

       via  35bc7e56793258e732fad76b8c9521c6c8e50f63 (commit)
      from  7298a16a498ea65ffb53b902b13a4d8bf0297694 (commit)

Those revisions listed above that are new to this repository have
not appeared on any other notification email; so we list those
revisions in full, below.


commit 35bc7e56793258e732fad76b8c9521c6c8e50f63
Author: Peter Amstutz <peter.amstutz at curii.com>
Date:   Fri Apr 8 15:29:50 2022 -0400

    Fix doc for correct CUDARequirement fields
    
    no issue #
    
    Arvados-DCO-1.1-Signed-off-by: Peter Amstutz <peter.amstutz at curii.com>

diff --git a/doc/user/cwl/cwl-extensions.html.textile.liquid b/doc/user/cwl/cwl-extensions.html.textile.liquid
index d6148d7ee..0e97e07da 100644
--- a/doc/user/cwl/cwl-extensions.html.textile.liquid
+++ b/doc/user/cwl/cwl-extensions.html.textile.liquid
@@ -60,9 +60,9 @@ hints:
 
   cwltool:CUDARequirement:
     cudaVersionMin: "11.0"
-    cudaComputeCapabilityMin: "9.0"
-    deviceCountMin: 1
-    deviceCountMax: 1
+    cudaComputeCapability: "9.0"
+    cudaDeviceCountMin: 1
+    cudaDeviceCountMax: 1
 
   arv:UsePreemptible:
     usePreemptible: true
@@ -163,9 +163,9 @@ Request support for Nvidia CUDA GPU acceleration in the container.  Assumes that
 table(table table-bordered table-condensed).
 |_. Field |_. Type |_. Description |
 |cudaVersionMin|string|Required.  The CUDA SDK version corresponding to the minimum driver version supported by the container (generally, the SDK version 'X.Y' the application was compiled against).|
-|cudaComputeCapabilityMin|string|Required.  The minimum CUDA hardware capability (in 'X.Y' format) required by the application's PTX or C++ GPU code (will be JIT compiled for the available hardware).|
-|deviceCountMin|integer|Minimum number of GPU devices to allocate on a single node. Required.|
-|deviceCountMax|integer|Maximum number of GPU devices to allocate on a single node. Optional.  If not specified, same as @minDeviceCount at .|
+|cudaComputeCapability|string|Required.  The minimum CUDA hardware capability (in 'X.Y' format) required by the application's PTX or C++ GPU code (will be JIT compiled for the available hardware).|
+|cudaDeviceCountMin|integer|Minimum number of GPU devices to allocate on a single node. Required.|
+|cudaDeviceCountMax|integer|Maximum number of GPU devices to allocate on a single node. Optional.  If not specified, same as @cudaDeviceCountMin at .|
 
 h2(#UsePreemptible). arv:UsePreemptible
 

-----------------------------------------------------------------------


hooks/post-receive
--