Delete k8s-TensorFlow-resnet50-multinode-MPIOperator.yaml

examples/k8s-TensorFlow-resnet50-multinode-MPIOperator.yaml

@@ -1,54 +0,0 @@
-# Run multi-node training benchmark w/ Nvidia NGC Container: nvcr.io/nvidia/tensorflow:19.06-py3
-#
-# 2 C4140 compute nodes
-#  - 8 V100 GPUs
-#  - ConnectX-5
-#  - IPoIB EDR Infiniband in Ethernet mode
-#
-apiVersion: kubeflow.org/v1alpha1
-kind: MPIJob
-metadata:
-  name: tensorflow-benchmarks-resnet50
-spec:
-  replicas: 2
-  template:
-    spec:
-      containers:
-      - image: nvcr.io/nvidia/tensorflow:19.06-py3
-        name: tensorflow-benchmarks
-        volumeMounts:
-          - mountPath: /foo
-            name: work-volume
-          - mountPath: /data
-            name: mem-volume
-        resources:
-          limits:
-            nvidia.com/gpu: 4
-        command:
-          - mpirun
-          - --allow-run-as-root
-          - --map-by
-          - numa
-          - python
-          - /foo/tensorflow/benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py
-          - --batch_size=512
-          - --model=resnet50
-          - --variable_update=horovod
-          - --optimizer=momentum
-          - --nodistortions
-          - --gradient_repacking=8
-          - --weight_decay=1e-4
-          - --use_fp16=true
-          - --data_dir=/data/tensorflow/
-          - --data_name=imagenet
-      volumes:
-      - name: work-volume
-        hostPath:
-          # directory locally mounted on host
-          path: /work
-          type: Directory
-      - name: mem-volume
-        hostPath:
-          # dev shm directory on host
-          path: /dev/shm
-          type: Directory