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bugfix: TF_CONFIG error when enable evaluator #2

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merged 1 commit into from
Aug 18, 2022
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bugfix: TF_CONFIG error when enable evaluator #2

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14 changes: 8 additions & 6 deletions pkg/controller.v1/tensorflow/tensorflow.go
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Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ func genTFConfigJSONStr(tfjob *tfv1.TFJob, rtype, index string) (string, error)
tfConfig := TFConfig{
Cluster: cluster,
Task: TaskSpec{
Type: rtype,
Type: strings.ToLower(rtype),
Index: int(i),
},
// We need to set environment to cloud otherwise it will default to local which isn't what we want.
Expand All @@ -107,11 +107,13 @@ func genClusterSpec(tfjob *tfv1.TFJob) (ClusterSpec, error) {
clusterSpec := make(ClusterSpec)

for rtype, spec := range tfjob.Spec.TFReplicaSpecs {
if rtype == tfv1.TFReplicaTypeEval {
// https://www.tensorflow.org/api_docs/python/tf/estimator/RunConfig
// evaluator is not part of training cluster
continue
}
// fix issue https://github.com/kubeflow/training-operator/issues/1139
// NOTE: may incompatible with tf version <= 1.12
//if rtype == tfv1.TFReplicaTypeEval {
// // https://www.tensorflow.org/api_docs/python/tf/estimator/RunConfig
// // evaluator is not part of training cluster
// continue
//}
rt := strings.ToLower(string(rtype))
replicaNames := make([]string, 0, *spec.Replicas)

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