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I'm not sure if this is a kubeflow issue or a ksonnet one, but when I try to follow the directions on tf-cnn from here I get the following error:
knobby ~/kubeflow ks generate tf-cnn mycnnjob --name=mycnnjob --namespace=kf-test
INFO Writing component at '/home/knobby/kubeflow/components/mycnnjob.jsonnet'
knobby ~/kubeflow ks apply cdk -c mycnnjob
ERROR generate objects for namespace : unable to read /home/knobby/kubeflow/environments/cdk/main.jsonnet: RUNTIME ERROR: Missing argument: tp
-------------------------------------------------
/home/knobby/kubeflow/components/mycnnjob.jsonnet:85:7-51 thunk <job> from <$>
tfJob.parts.tfJob(name, namespace, replicas) + {
-------------------------------------------------
/home/knobby/kubeflow/components/mycnnjob.jsonnet:(85:7)-(90:8) thunk <job> from <$>
tfJob.parts.tfJob(name, namespace, replicas) + {
spec+: {
tfImage: image,
terminationPolicy: { chief: { replicaName: "WORKER", replicaIndex: 0 } },
},
};
-------------------------------------------------
/home/knobby/kubeflow/components/mycnnjob.jsonnet:92:31-34 thunk from <thunk from <thunk from <$>>>
std.prune(k.core.v1.list.new([job]))
-------------------------------------------------
<std>:1022:60-61 thunk from <thunk from <function <anonymous>>>
[ std.prune(x) for x in a if isContent($.prune(x)) ]
-------------------------------------------------
<std>:1020:28-29 thunk from <thunk <t> from <function <anonymous>>>
local t = std.type(a);
-------------------------------------------------
<builtin> builtin function <type>
-------------------------------------------------
<std>:1021:12-13 function <anonymous>
if t== "array" then
-------------------------------------------------
<std>:969:29-30 thunk from <thunk <ta> from <function <anonymous>>>
local ta = std.type(a);
-------------------------------------------------
<builtin> builtin function <type>
-------------------------------------------------
<std>:971:33-35 thunk from <function <anonymous>>
if !std.primitiveEquals(ta, tb) then
-------------------------------------------------
... (skipped 17 frames)
-------------------------------------------------
<std>:971:33-35 thunk from <function <anonymous>>
if !std.primitiveEquals(ta, tb) then
-------------------------------------------------
<builtin> builtin function <primitiveEquals>
-------------------------------------------------
<std>:971:12-40 function <anonymous>
if !std.primitiveEquals(ta, tb) then
-------------------------------------------------
-------------------------------------------------
<std>:1025:45-71 function <anonymous>
for x in std.objectFields(a) if isContent(std.prune(a[x]))
-------------------------------------------------
<builtin> builtin function <flatMap>
-------------------------------------------------
<builtin> builtin function <$objectFlatMerge>
-------------------------------------------------
/home/knobby/kubeflow/components/mycnnjob.jsonnet:92:1-37 $
std.prune(k.core.v1.list.new([job]))
-------------------------------------------------
<extvar:__ksonnet/components>:2:13-70 object <anonymous>
mycnnjob: import "/home/knobby/kubeflow/components/mycnnjob.jsonnet",
-------------------------------------------------
During manifestation
I'm not sure if this is a kubeflow issue or a ksonnet one, but when I try to follow the directions on tf-cnn from here I get the following error:
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