Fix CNTK sample configs

recipes/CNTK-CPU-OpenMPI/config/multinode/pool.json

@@ -1,7 +1,7 @@
 {
     "pool_specification": {
         "id": "<your pool id>",
-        "vm_size": "<vm size>",
+        "vm_size": "STANDARD_F1",
         "vm_count": 3,
         "inter_node_communication_enabled": true,
         "publisher": "Canonical",

recipes/CNTK-GPU-OpenMPI/README.md

@@ -69,7 +69,8 @@ For this example, we will run the Multigpu Simple2d Example in the
 `alfpark/cntk:gpu-openmpi` Docker image. The application `command` to run
 would be:
 `"mpirun --allow-run-as-root --host $AZ_BATCH_HOST_LIST --mca btl_tcp_if_exclude docker0 /bin/bash -c \"export LD_LIBRARY_PATH=/usr/local/openblas/lib:/usr/local/nvidia/lib64 && cp -r /cntk/Examples/Other/Simple2d/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/Multigpu.cntk RootDir=. parallelTrain=true\""`
-  * **NOTE:** tasks that span multiple compute nodes will need their output
+  * **NOTE:** tasks that span multiple compute nodes
+    (i.e., MultiNode+SingleGPU or MultiNode+MultiGPU) will need their output
     stored on a shared file system, otherwise CNTK will fail during test
     as all of the output is written by rank 0 to the specified output
     directory only on that compute node. To override the output directory for

recipes/CNTK-GPU-OpenMPI/config/multinode-multigpu/jobs.json

@@ -11,11 +11,12 @@
                     "shared_data_volumes": [
                         "<azure file shared volume name>"
                     ],
-                    "command": "mpirun --allow-run-as-root --host $AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST --mca btl_tcp_if_exclude docker0 /bin/bash -c \"cp -r /cntk/Examples/Other/Simple2d/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/Multigpu.cntk RootDir=. OutputDir=$AZ_BATCH_NODE_SHARED_DIR/azurefileshare/Output parallelTrain=true\"",
+                    "command": "mpirun --allow-run-as-root --host $AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST --mca btl_tcp_if_exclude docker0 /bin/bash -c \"export LD_LIBRARY_PATH=/usr/local/openblas/lib:/usr/local/nvidia/lib64 && cp -r /cntk/Examples/Other/Simple2d/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/Multigpu.cntk RootDir=. OutputDir=$AZ_BATCH_NODE_SHARED_DIR/azurefileshare/Output parallelTrain=true\"",
                     "multi_instance": {
                         "num_instances": "pool_specification_vm_count",
                         "coordination_command": null
-                    }
+                    },
+                    "gpu": true
                 }
             ]
         }

recipes/CNTK-GPU-OpenMPI/config/singlenode-multigpu/jobs.json

@@ -8,11 +8,12 @@
                     "image": "alfpark/cntk:gpu-openmpi",
                     "name": "cntk",
                     "remove_container_after_exit": true,
-                    "command": "mpirun --allow-run-as-root --host $AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST --mca btl_tcp_if_exclude docker0 /bin/bash -c \"cp -r /cntk/Examples/Other/Simple2d/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/Multigpu.cntk RootDir=. OutputDir=$AZ_BATCH_NODE_SHARED_DIR/azurefileshare/Output parallelTrain=true\"",
+                    "command": "mpirun --allow-run-as-root --host $AZ_BATCH_HOST_LIST,$AZ_BATCH_HOST_LIST --mca btl_tcp_if_exclude docker0 /bin/bash -c \"export LD_LIBRARY_PATH=/usr/local/openblas/lib:/usr/local/nvidia/lib64 && cp -r /cntk/Examples/Other/Simple2d/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/Multigpu.cntk RootDir=. parallelTrain=true\"",
                     "multi_instance": {
                         "num_instances": "pool_specification_vm_count",
                         "coordination_command": null
-                    }
+                    },
+                    "gpu": true
                 }
             ]
         }

recipes/CNTK-GPU-OpenMPI/config/singlenode-singlegpu/jobs.json

@@ -7,7 +7,8 @@
                     "image": "alfpark/cntk:gpu-openmpi-mnist-cifar",
                     "remove_container_after_exit": true,
                     "command": "/bin/bash -c \"cp -r /cntk/Examples/Image/MNIST/* . && /cntk/build/gpu/release/bin/cntk configFile=Config/02_Convolution_ndl_deprecated.cntk RootDir=.\""
-                    }
+                    },
+                    "gpu": true
                 }
             ]
         }

recipes/README.md

@@ -1,8 +1,11 @@
 # Batch Shipyard Recipes
 This directory contains recipes and sample batch-style Docker workloads for
 use with Batch Shipyard on Azure Batch. Please note that all recipes have
-sample configurations that you can use to quickly get going. However, as they
-are samples only, you will need to configure them to your liking for actual
+sample configurations that you can use to quickly get going, however, some
+of the config files cannot be used as-is as they need input such as
+the pool `id` in `pool_specification`. Please review each config file you
+are planning on using and modify accordingly. As the config samples are bare
+examples only, you will need to configure them to your liking for actual
 workloads.
 
 **NOTE: Not all recipes are populated.**