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//go:build !ignore_autogenerated
// +build !ignore_autogenerated
/*
Copyright 2023 The KServe Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// Code generated by openapi-gen. DO NOT EDIT.
// This file was autogenerated by openapi-gen. Do not edit it manually!
package v1beta1
import (
common "k8s.io/kube-openapi/pkg/common"
spec "k8s.io/kube-openapi/pkg/validation/spec"
)
func GetOpenAPIDefinitions(ref common.ReferenceCallback) map[string]common.OpenAPIDefinition {
return map[string]common.OpenAPIDefinition{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.BuiltInAdapter": schema_pkg_apis_serving_v1alpha1_BuiltInAdapter(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterServingRuntime": schema_pkg_apis_serving_v1alpha1_ClusterServingRuntime(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterServingRuntimeList": schema_pkg_apis_serving_v1alpha1_ClusterServingRuntimeList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterStorageContainer": schema_pkg_apis_serving_v1alpha1_ClusterStorageContainer(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterStorageContainerList": schema_pkg_apis_serving_v1alpha1_ClusterStorageContainerList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraph": schema_pkg_apis_serving_v1alpha1_InferenceGraph(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphList": schema_pkg_apis_serving_v1alpha1_InferenceGraphList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphSpec": schema_pkg_apis_serving_v1alpha1_InferenceGraphSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphStatus": schema_pkg_apis_serving_v1alpha1_InferenceGraphStatus(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceRouter": schema_pkg_apis_serving_v1alpha1_InferenceRouter(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceStep": schema_pkg_apis_serving_v1alpha1_InferenceStep(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceTarget": schema_pkg_apis_serving_v1alpha1_InferenceTarget(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ModelSpec": schema_pkg_apis_serving_v1alpha1_ModelSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntime": schema_pkg_apis_serving_v1alpha1_ServingRuntime(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeList": schema_pkg_apis_serving_v1alpha1_ServingRuntimeList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimePodSpec": schema_pkg_apis_serving_v1alpha1_ServingRuntimePodSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeSpec": schema_pkg_apis_serving_v1alpha1_ServingRuntimeSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeStatus": schema_pkg_apis_serving_v1alpha1_ServingRuntimeStatus(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.StorageContainerSpec": schema_pkg_apis_serving_v1alpha1_StorageContainerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.StorageHelper": schema_pkg_apis_serving_v1alpha1_StorageHelper(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.SupportedModelFormat": schema_pkg_apis_serving_v1alpha1_SupportedModelFormat(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.SupportedUriFormat": schema_pkg_apis_serving_v1alpha1_SupportedUriFormat(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.TrainedModel": schema_pkg_apis_serving_v1alpha1_TrainedModel(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.TrainedModelList": schema_pkg_apis_serving_v1alpha1_TrainedModelList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.TrainedModelSpec": schema_pkg_apis_serving_v1alpha1_TrainedModelSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ARTExplainerSpec": schema_pkg_apis_serving_v1beta1_ARTExplainerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.AlibiExplainerSpec": schema_pkg_apis_serving_v1beta1_AlibiExplainerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.Batcher": schema_pkg_apis_serving_v1beta1_Batcher(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ComponentExtensionSpec": schema_pkg_apis_serving_v1beta1_ComponentExtensionSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ComponentStatusSpec": schema_pkg_apis_serving_v1beta1_ComponentStatusSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.CustomExplainer": schema_pkg_apis_serving_v1beta1_CustomExplainer(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.CustomPredictor": schema_pkg_apis_serving_v1beta1_CustomPredictor(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.CustomTransformer": schema_pkg_apis_serving_v1beta1_CustomTransformer(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.DeployConfig": schema_pkg_apis_serving_v1beta1_DeployConfig(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ExplainerConfig": schema_pkg_apis_serving_v1beta1_ExplainerConfig(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ExplainerExtensionSpec": schema_pkg_apis_serving_v1beta1_ExplainerExtensionSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ExplainerSpec": schema_pkg_apis_serving_v1beta1_ExplainerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ExplainersConfig": schema_pkg_apis_serving_v1beta1_ExplainersConfig(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.FailureInfo": schema_pkg_apis_serving_v1beta1_FailureInfo(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.HuggingFaceRuntimeSpec": schema_pkg_apis_serving_v1beta1_HuggingFaceRuntimeSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.InferenceService": schema_pkg_apis_serving_v1beta1_InferenceService(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.InferenceServiceList": schema_pkg_apis_serving_v1beta1_InferenceServiceList(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.InferenceServiceSpec": schema_pkg_apis_serving_v1beta1_InferenceServiceSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.InferenceServiceStatus": schema_pkg_apis_serving_v1beta1_InferenceServiceStatus(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.InferenceServicesConfig": schema_pkg_apis_serving_v1beta1_InferenceServicesConfig(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.IngressConfig": schema_pkg_apis_serving_v1beta1_IngressConfig(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.LightGBMSpec": schema_pkg_apis_serving_v1beta1_LightGBMSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.LoggerSpec": schema_pkg_apis_serving_v1beta1_LoggerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ModelCopies": schema_pkg_apis_serving_v1beta1_ModelCopies(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ModelFormat": schema_pkg_apis_serving_v1beta1_ModelFormat(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ModelRevisionStates": schema_pkg_apis_serving_v1beta1_ModelRevisionStates(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ModelSpec": schema_pkg_apis_serving_v1beta1_ModelSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ModelStatus": schema_pkg_apis_serving_v1beta1_ModelStatus(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.ONNXRuntimeSpec": schema_pkg_apis_serving_v1beta1_ONNXRuntimeSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.PMMLSpec": schema_pkg_apis_serving_v1beta1_PMMLSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.PaddleServerSpec": schema_pkg_apis_serving_v1beta1_PaddleServerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.PodSpec": schema_pkg_apis_serving_v1beta1_PodSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.PredictorExtensionSpec": schema_pkg_apis_serving_v1beta1_PredictorExtensionSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.PredictorSpec": schema_pkg_apis_serving_v1beta1_PredictorSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.SKLearnSpec": schema_pkg_apis_serving_v1beta1_SKLearnSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.StorageSpec": schema_pkg_apis_serving_v1beta1_StorageSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.TFServingSpec": schema_pkg_apis_serving_v1beta1_TFServingSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.TorchServeSpec": schema_pkg_apis_serving_v1beta1_TorchServeSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.TransformerSpec": schema_pkg_apis_serving_v1beta1_TransformerSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.TritonSpec": schema_pkg_apis_serving_v1beta1_TritonSpec(ref),
"github.com/kserve/kserve/pkg/apis/serving/v1beta1.XGBoostSpec": schema_pkg_apis_serving_v1beta1_XGBoostSpec(ref),
}
}
func schema_pkg_apis_serving_v1alpha1_BuiltInAdapter(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"object"},
Properties: map[string]spec.Schema{
"serverType": {
SchemaProps: spec.SchemaProps{
Description: "ServerType must be one of the supported built-in types such as \"triton\" or \"mlserver\", and the runtime's container must have the same name",
Type: []string{"string"},
Format: "",
},
},
"runtimeManagementPort": {
SchemaProps: spec.SchemaProps{
Description: "Port which the runtime server listens for model management requests",
Type: []string{"integer"},
Format: "int32",
},
},
"memBufferBytes": {
SchemaProps: spec.SchemaProps{
Description: "Fixed memory overhead to subtract from runtime container's memory allocation to determine model capacity",
Type: []string{"integer"},
Format: "int32",
},
},
"modelLoadingTimeoutMillis": {
SchemaProps: spec.SchemaProps{
Description: "Timeout for model loading operations in milliseconds",
Type: []string{"integer"},
Format: "int32",
},
},
"env": {
SchemaProps: spec.SchemaProps{
Description: "Environment variables used to control other aspects of the built-in adapter's behaviour (uncommon)",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.EnvVar"),
},
},
},
},
},
},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.EnvVar"},
}
}
func schema_pkg_apis_serving_v1alpha1_ClusterServingRuntime(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ClusterServingRuntime is the Schema for the servingruntimes API",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"),
},
},
"spec": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeSpec"),
},
},
"status": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeStatus"),
},
},
},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeSpec", "github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeStatus", "k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_ClusterServingRuntimeList(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ClusterServingRuntimeList contains a list of ServingRuntime",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"),
},
},
"items": {
SchemaProps: spec.SchemaProps{
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterServingRuntime"),
},
},
},
},
},
},
Required: []string{"items"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterServingRuntime", "k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_ClusterStorageContainer(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"),
},
},
"spec": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.StorageContainerSpec"),
},
},
"disabled": {
SchemaProps: spec.SchemaProps{
Type: []string{"boolean"},
Format: "",
},
},
},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.StorageContainerSpec", "k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_ClusterStorageContainerList(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"),
},
},
"items": {
SchemaProps: spec.SchemaProps{
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterStorageContainer"),
},
},
},
},
},
},
Required: []string{"items"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ClusterStorageContainer", "k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceGraph(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceGraph is the Schema for the InferenceGraph API for multiple models",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"),
},
},
"spec": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphSpec"),
},
},
"status": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphStatus"),
},
},
},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphSpec", "github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraphStatus", "k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceGraphList(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceGraphList contains a list of InferenceGraph",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"),
},
},
"items": {
VendorExtensible: spec.VendorExtensible{
Extensions: spec.Extensions{
"x-kubernetes-list-type": "set",
},
},
SchemaProps: spec.SchemaProps{
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraph"),
},
},
},
},
},
},
Required: []string{"items"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceGraph", "k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceGraphSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceGraphSpec defines the InferenceGraph spec",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"nodes": {
SchemaProps: spec.SchemaProps{
Description: "Map of InferenceGraph router nodes Each node defines the router which can be different routing types",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceRouter"),
},
},
},
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
"affinity": {
SchemaProps: spec.SchemaProps{
Ref: ref("k8s.io/api/core/v1.Affinity"),
},
},
"timeout": {
SchemaProps: spec.SchemaProps{
Description: "TimeoutSeconds specifies the number of seconds to wait before timing out a request to the component.",
Type: []string{"integer"},
Format: "int64",
},
},
"minReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Minimum number of replicas, defaults to 1 but can be set to 0 to enable scale-to-zero.",
Type: []string{"integer"},
Format: "int32",
},
},
"maxReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Maximum number of replicas for autoscaling.",
Type: []string{"integer"},
Format: "int32",
},
},
"scaleTarget": {
SchemaProps: spec.SchemaProps{
Description: "ScaleTarget specifies the integer target value of the metric type the Autoscaler watches for. concurrency and rps targets are supported by Knative Pod Autoscaler (https://knative.dev/docs/serving/autoscaling/autoscaling-targets/).",
Type: []string{"integer"},
Format: "int32",
},
},
"scaleMetric": {
SchemaProps: spec.SchemaProps{
Description: "ScaleMetric defines the scaling metric type watched by autoscaler possible values are concurrency, rps, cpu, memory. concurrency, rps are supported via Knative Pod Autoscaler(https://knative.dev/docs/serving/autoscaling/autoscaling-metrics).",
Type: []string{"string"},
Format: "",
},
},
},
Required: []string{"nodes"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceRouter", "k8s.io/api/core/v1.Affinity", "k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceGraphStatus(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceGraphStatus defines the InferenceGraph conditions and status",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"observedGeneration": {
SchemaProps: spec.SchemaProps{
Description: "ObservedGeneration is the 'Generation' of the Service that was last processed by the controller.",
Type: []string{"integer"},
Format: "int64",
},
},
"conditions": {
VendorExtensible: spec.VendorExtensible{
Extensions: spec.Extensions{
"x-kubernetes-patch-merge-key": "type",
"x-kubernetes-patch-strategy": "merge",
},
},
SchemaProps: spec.SchemaProps{
Description: "Conditions the latest available observations of a resource's current state.",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("knative.dev/pkg/apis.Condition"),
},
},
},
},
},
"annotations": {
SchemaProps: spec.SchemaProps{
Description: "Annotations is additional Status fields for the Resource to save some additional State as well as convey more information to the user. This is roughly akin to Annotations on any k8s resource, just the reconciler conveying richer information outwards.",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: "",
Type: []string{"string"},
Format: "",
},
},
},
},
},
"url": {
SchemaProps: spec.SchemaProps{
Description: "Url for the InferenceGraph",
Ref: ref("knative.dev/pkg/apis.URL"),
},
},
},
},
},
Dependencies: []string{
"knative.dev/pkg/apis.Condition", "knative.dev/pkg/apis.URL"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceRouter(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceRouter defines the router for each InferenceGraph node with one or multiple steps\n\n```yaml kind: InferenceGraph metadata:\n\n\tname: canary-route\n\nspec:\n\n\tnodes:\n\t root:\n\t routerType: Splitter\n\t routes:\n\t - service: mymodel1\n\t weight: 20\n\t - service: mymodel2\n\t weight: 80\n\n```\n\n```yaml kind: InferenceGraph metadata:\n\n\tname: abtest\n\nspec:\n\n\tnodes:\n\t mymodel:\n\t routerType: Switch\n\t routes:\n\t - service: mymodel1\n\t condition: \"{ .input.userId == 1 }\"\n\t - service: mymodel2\n\t condition: \"{ .input.userId == 2 }\"\n\n```\n\nScoring a case using a model ensemble consists of scoring it using each model separately, then combining the results into a single scoring result using one of the pre-defined combination methods.\n\nTree Ensemble constitutes a case where simple algorithms for combining results of either classification or regression trees are well known. Multiple classification trees, for example, are commonly combined using a \"majority-vote\" method. Multiple regression trees are often combined using various averaging techniques. e.g tagging models with segment identifiers and weights to be used for their combination in these ways. ```yaml kind: InferenceGraph metadata:\n\n\tname: ensemble\n\nspec:\n\n\tnodes:\n\t root:\n\t routerType: Sequence\n\t routes:\n\t - service: feast\n\t - nodeName: ensembleModel\n\t data: $response\n\t ensembleModel:\n\t routerType: Ensemble\n\t routes:\n\t - service: sklearn-model\n\t - service: xgboost-model\n\n```\n\nScoring a case using a sequence, or chain of models allows the output of one model to be passed in as input to the subsequent models. ```yaml kind: InferenceGraph metadata:\n\n\tname: model-chainer\n\nspec:\n\n\tnodes:\n\t root:\n\t routerType: Sequence\n\t routes:\n\t - service: mymodel-s1\n\t - service: mymodel-s2\n\t data: $response\n\t - service: mymodel-s3\n\t data: $response\n\n```\n\nIn the flow described below, the pre_processing node base64 encodes the image and passes it to two model nodes in the flow. The encoded data is available to both these nodes for classification. The second node i.e. dog-breed-classification takes the original input from the pre_processing node along-with the response from the cat-dog-classification node to do further classification of the dog breed if required. ```yaml kind: InferenceGraph metadata:\n\n\tname: dog-breed-classification\n\nspec:\n\n\tnodes:\n\t root:\n\t routerType: Sequence\n\t routes:\n\t - service: cat-dog-classifier\n\t - nodeName: breed-classifier\n\t data: $request\n\t breed-classifier:\n\t routerType: Switch\n\t routes:\n\t - service: dog-breed-classifier\n\t condition: { .predictions.class == \"dog\" }\n\t - service: cat-breed-classifier\n\t condition: { .predictions.class == \"cat\" }\n\n```",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"routerType": {
SchemaProps: spec.SchemaProps{
Description: "RouterType\n\n- `Sequence:` chain multiple inference steps with input/output from previous step\n\n- `Splitter:` randomly routes to the target service according to the weight\n\n- `Ensemble:` routes the request to multiple models and then merge the responses\n\n- `Switch:` routes the request to one of the steps based on condition",
Default: "",
Type: []string{"string"},
Format: "",
},
},
"steps": {
SchemaProps: spec.SchemaProps{
Description: "Steps defines destinations for the current router node",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceStep"),
},
},
},
},
},
},
Required: []string{"routerType"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.InferenceStep"},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceStep(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceStep defines the inference target of the current step with condition, weights and data.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"name": {
SchemaProps: spec.SchemaProps{
Description: "Unique name for the step within this node",
Type: []string{"string"},
Format: "",
},
},
"nodeName": {
SchemaProps: spec.SchemaProps{
Description: "The node name for routing as next step",
Type: []string{"string"},
Format: "",
},
},
"serviceName": {
SchemaProps: spec.SchemaProps{
Description: "named reference for InferenceService",
Type: []string{"string"},
Format: "",
},
},
"serviceUrl": {
SchemaProps: spec.SchemaProps{
Description: "InferenceService URL, mutually exclusive with ServiceName",
Type: []string{"string"},
Format: "",
},
},
"data": {
SchemaProps: spec.SchemaProps{
Description: "request data sent to the next route with input/output from the previous step $request $response.predictions",
Type: []string{"string"},
Format: "",
},
},
"weight": {
SchemaProps: spec.SchemaProps{
Description: "the weight for split of the traffic, only used for Split Router when weight is specified all the routing targets should be sum to 100",
Type: []string{"integer"},
Format: "int64",
},
},
"condition": {
SchemaProps: spec.SchemaProps{
Description: "routing based on the condition",
Type: []string{"string"},
Format: "",
},
},
"dependency": {
SchemaProps: spec.SchemaProps{
Description: "to decide whether a step is a hard or a soft dependency in the Inference Graph",
Type: []string{"string"},
Format: "",
},
},
},
},
},
}
}
func schema_pkg_apis_serving_v1alpha1_InferenceTarget(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "Exactly one InferenceTarget field must be specified",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"nodeName": {
SchemaProps: spec.SchemaProps{
Description: "The node name for routing as next step",
Type: []string{"string"},
Format: "",
},
},
"serviceName": {
SchemaProps: spec.SchemaProps{
Description: "named reference for InferenceService",
Type: []string{"string"},
Format: "",
},
},
"serviceUrl": {
SchemaProps: spec.SchemaProps{
Description: "InferenceService URL, mutually exclusive with ServiceName",
Type: []string{"string"},
Format: "",
},
},
},
},
},
}
}
func schema_pkg_apis_serving_v1alpha1_ModelSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ModelSpec describes a TrainedModel",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "Storage URI for the model repository",
Default: "",
Type: []string{"string"},
Format: "",
},
},
"framework": {
SchemaProps: spec.SchemaProps{
Description: "Machine Learning <framework name> The values could be: \"tensorflow\",\"pytorch\",\"sklearn\",\"onnx\",\"xgboost\", \"myawesomeinternalframework\" etc.",
Default: "",
Type: []string{"string"},
Format: "",
},
},
"memory": {
SchemaProps: spec.SchemaProps{
Description: "Maximum memory this model will consume, this field is used to decide if a model server has enough memory to load this model.",
Ref: ref("k8s.io/apimachinery/pkg/api/resource.Quantity"),
},
},
},
Required: []string{"storageUri", "framework", "memory"},
},
},
Dependencies: []string{
"k8s.io/apimachinery/pkg/api/resource.Quantity"},
}
}
func schema_pkg_apis_serving_v1alpha1_ServingRuntime(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ServingRuntime is the Schema for the servingruntimes API",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"),
},
},
"spec": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeSpec"),
},
},
"status": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeStatus"),
},
},
},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeSpec", "github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntimeStatus", "k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_ServingRuntimeList(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ServingRuntimeList contains a list of ServingRuntime",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"kind": {
SchemaProps: spec.SchemaProps{
Description: "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
Type: []string{"string"},
Format: "",
},
},
"apiVersion": {
SchemaProps: spec.SchemaProps{
Description: "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
Type: []string{"string"},
Format: "",
},
},
"metadata": {
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"),
},
},
"items": {
SchemaProps: spec.SchemaProps{
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntime"),
},
},
},
},
},
},
Required: []string{"items"},
},
},
Dependencies: []string{
"github.com/kserve/kserve/pkg/apis/serving/v1alpha1.ServingRuntime", "k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"},
}
}
func schema_pkg_apis_serving_v1alpha1_ServingRuntimePodSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"object"},
Properties: map[string]spec.Schema{
"containers": {
VendorExtensible: spec.VendorExtensible{
Extensions: spec.Extensions{
"x-kubernetes-patch-merge-key": "name",
"x-kubernetes-patch-strategy": "merge",
},
},
SchemaProps: spec.SchemaProps{
Description: "List of containers belonging to the pod. Containers cannot currently be added or removed. There must be at least one container in a Pod. Cannot be updated.",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.Container"),
},
},
},
},
},
"volumes": {
VendorExtensible: spec.VendorExtensible{
Extensions: spec.Extensions{
"x-kubernetes-patch-merge-key": "name",
"x-kubernetes-patch-strategy": "merge,retainKeys",
},
},
SchemaProps: spec.SchemaProps{
Description: "List of volumes that can be mounted by containers belonging to the pod. More info: https://kubernetes.io/docs/concepts/storage/volumes",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.Volume"),
},
},
},
},
},
"nodeSelector": {
SchemaProps: spec.SchemaProps{
Description: "NodeSelector is a selector which must be true for the pod to fit on a node. Selector which must match a node's labels for the pod to be scheduled on that node. More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: "",
Type: []string{"string"},
Format: "",
},
},
},
},
},
"affinity": {
SchemaProps: spec.SchemaProps{
Description: "If specified, the pod's scheduling constraints",
Ref: ref("k8s.io/api/core/v1.Affinity"),
},
},
"tolerations": {
SchemaProps: spec.SchemaProps{
Description: "If specified, the pod's tolerations.",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.Toleration"),
},
},
},
},
},
"labels": {
SchemaProps: spec.SchemaProps{
Description: "Labels that will be add to the pod. More info: http://kubernetes.io/docs/user-guide/labels",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: "",
Type: []string{"string"},
Format: "",
},
},
},
},
},
"annotations": {
SchemaProps: spec.SchemaProps{
Description: "Annotations that will be add to the pod. More info: http://kubernetes.io/docs/user-guide/annotations",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: "",
Type: []string{"string"},
Format: "",
},
},
},
},
},
"imagePullSecrets": {
VendorExtensible: spec.VendorExtensible{
Extensions: spec.Extensions{
"x-kubernetes-patch-merge-key": "name",
"x-kubernetes-patch-strategy": "merge",
},
},
SchemaProps: spec.SchemaProps{
Description: "ImagePullSecrets is an optional list of references to secrets in the same namespace to use for pulling any of the images used by this PodSpec. If specified, these secrets will be passed to individual puller implementations for them to use. For example, in the case of docker, only DockerConfig type secrets are honored. More info: https://kubernetes.io/docs/concepts/containers/images#specifying-imagepullsecrets-on-a-pod",
Type: []string{"array"},
Items: &spec.SchemaOrArray{
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Default: map[string]interface{}{},
Ref: ref("k8s.io/api/core/v1.LocalObjectReference"),
},
},
},
},
},
},
Required: []string{"containers"},