{{ " " }}{{ . }}
{{- end -}}
{{- end -}}

{{/*
Return the proper Docker Image Registry Secret Names
*/}}
{{- define "minio.imagePullSecrets" -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,
but Helm 2.9 and 2.10 does not support it, so we need to implement this if-else logic.
Also, we can not use a single if because lazy evaluation is not an option
*/}}

commit.

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  - If you are an individual writing original source code and you're sure you

	internalcfg := &kubeadmapi.ResetConfiguration{}

	// Takes passed flags into account; the defaulting is executed once again enforcing assignment of
	// static default values to cfg only for values not provided with flags
	kubeadmscheme.Scheme.Default(defaultversionedcfg)
	if err := kubeadmscheme.Scheme.Convert(defaultversionedcfg, internalcfg, nil); err != nil {

// RUN: tf-opt %s -tf-layout-assignment -verify-diagnostics | FileCheck %s --dump-input=always

module attributes {
  tf.devices = {"/device:GPU:0" = #tf_type.gpu_device_metadata<cc_major = 7, cc_minor = 0>}
} {

// CHECK-LABEL: func @transposeConv2D_3x3_f32
func.func @transposeConv2D_3x3_f32(%input: tensor<1x28x28x64xf32>, %filter: tensor<3x3x64x64xf32>) -> tensor<1x26x26x64xf32> {
  // cuDNN prefers NCHW data format for spatial convolutions.

	internalcfg := &kubeadmapi.JoinConfiguration{}

	// Takes passed flags into account; the defaulting is executed once again enforcing assignment of
	// static default values to cfg only for values not provided with flags
	kubeadmscheme.Scheme.Default(defaultversionedcfg)
	if err := kubeadmscheme.Scheme.Convert(defaultversionedcfg, internalcfg, nil); err != nil {

  }) : () -> (tensor<!tf_type.string>, tensor<!tf_type.string>)
  func.return %0#0, %0#1 : tensor<!tf_type.string>, tensor<!tf_type.string>
}


// Verifies handling op a cluster op whose results are used for resource assignment.
// CHECK-LABEL: func @cluster_result_for_resource_update
func.func @cluster_result_for_resource_update(%arg0 : tensor<!tf_type.string>, %arg1 : tensor<!tf_type.string>) -> (tensor<!tf_type.string>, tensor<!tf_type.string>) {

  options.graph = &graph;
  options.session_options = &session_options;

  // Scope::ToGraph seems to drop assigned devices, probably because it goes
  // through a GraphDef.  So explicitly maintain the device assignment.
  // std::unordered_map<string, string> assigned_device_names;
  // for (Node* n : s.graph()->nodes()) {
  //   assigned_device_names[n->name()] = n->assigned_device_name();
  // }
  GraphConstructorOptions opts;

// RUN: tf-opt %s -tf-layout-assignment=force-data-format=NCHW -verify-diagnostics | FileCheck %s --dump-input=always

// IMPORTANT: In the following Conv2D tests tensor shapes do not match
// convolution parameters (stride, dilations, etc...). This test only verifies
// that changing convolution data layout will update all the attributes.

// CHECK-LABEL: func @transposeConv2D

      throwable = t;
    }

    if (throwable == null) {
      /*
       * The cast is safe: There was no exception, so the assignment from getDone must have
       * succeeded.
       */
      set(uncheckedCastNullableTToT(sourceResult));
      return;
    }

    if (!isInstanceOfThrowableClass(throwable, localExceptionType)) {

      throwable = t;
    }

    if (throwable == null) {
      /*
       * The cast is safe: There was no exception, so the assignment from getDone must have
       * succeeded.
       */
      set(uncheckedCastNullableTToT(sourceResult));
      return;
    }

    if (!isInstanceOfThrowableClass(throwable, localExceptionType)) {