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openapi_generated.go
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// +build !ignore_autogenerated
/*
Copyright 2020 kubeflow.org.
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 v1alpha2
import (
spec "github.com/go-openapi/spec"
common "k8s.io/kube-openapi/pkg/common"
)
func GetOpenAPIDefinitions(ref common.ReferenceCallback) map[string]common.OpenAPIDefinition {
return map[string]common.OpenAPIDefinition{
"./pkg/apis/serving/v1alpha2.AIXExplainerSpec": schema_pkg_apis_serving_v1alpha2_AIXExplainerSpec(ref),
"./pkg/apis/serving/v1alpha2.AlibiExplainerSpec": schema_pkg_apis_serving_v1alpha2_AlibiExplainerSpec(ref),
"./pkg/apis/serving/v1alpha2.Batcher": schema_pkg_apis_serving_v1alpha2_Batcher(ref),
"./pkg/apis/serving/v1alpha2.CustomSpec": schema_pkg_apis_serving_v1alpha2_CustomSpec(ref),
"./pkg/apis/serving/v1alpha2.DeploymentSpec": schema_pkg_apis_serving_v1alpha2_DeploymentSpec(ref),
"./pkg/apis/serving/v1alpha2.EndpointSpec": schema_pkg_apis_serving_v1alpha2_EndpointSpec(ref),
"./pkg/apis/serving/v1alpha2.ExplainerSpec": schema_pkg_apis_serving_v1alpha2_ExplainerSpec(ref),
"./pkg/apis/serving/v1alpha2.InferenceService": schema_pkg_apis_serving_v1alpha2_InferenceService(ref),
"./pkg/apis/serving/v1alpha2.InferenceServiceList": schema_pkg_apis_serving_v1alpha2_InferenceServiceList(ref),
"./pkg/apis/serving/v1alpha2.InferenceServiceSpec": schema_pkg_apis_serving_v1alpha2_InferenceServiceSpec(ref),
"./pkg/apis/serving/v1alpha2.InferenceServiceStatus": schema_pkg_apis_serving_v1alpha2_InferenceServiceStatus(ref),
"./pkg/apis/serving/v1alpha2.Logger": schema_pkg_apis_serving_v1alpha2_Logger(ref),
"./pkg/apis/serving/v1alpha2.ONNXSpec": schema_pkg_apis_serving_v1alpha2_ONNXSpec(ref),
"./pkg/apis/serving/v1alpha2.PMMLSpec": schema_pkg_apis_serving_v1alpha2_PMMLSpec(ref),
"./pkg/apis/serving/v1alpha2.PredictorSpec": schema_pkg_apis_serving_v1alpha2_PredictorSpec(ref),
"./pkg/apis/serving/v1alpha2.PyTorchSpec": schema_pkg_apis_serving_v1alpha2_PyTorchSpec(ref),
"./pkg/apis/serving/v1alpha2.SKLearnSpec": schema_pkg_apis_serving_v1alpha2_SKLearnSpec(ref),
"./pkg/apis/serving/v1alpha2.StatusConfigurationSpec": schema_pkg_apis_serving_v1alpha2_StatusConfigurationSpec(ref),
"./pkg/apis/serving/v1alpha2.TensorflowSpec": schema_pkg_apis_serving_v1alpha2_TensorflowSpec(ref),
"./pkg/apis/serving/v1alpha2.TransformerSpec": schema_pkg_apis_serving_v1alpha2_TransformerSpec(ref),
"./pkg/apis/serving/v1alpha2.TritonSpec": schema_pkg_apis_serving_v1alpha2_TritonSpec(ref),
"./pkg/apis/serving/v1alpha2.XGBoostSpec": schema_pkg_apis_serving_v1alpha2_XGBoostSpec(ref),
//TODO: `make generate` will remove this due to knative version upgrade but is used by python client
"knative.dev/pkg/apis.URL": schema_knativedev_pkg_apis_URL(ref),
"knative.dev/pkg/apis.Condition": schema_knativedev_pkg_apis_Condition(ref),
"knative.dev/pkg/apis.VolatileTime": schema_knativedev_pkg_apis_VolatileTime(ref),
"knative.dev/pkg/apis/duck/v1beta1.Addressable": schema_pkg_apis_duck_v1beta1_Addressable(ref),
}
}
func schema_pkg_apis_serving_v1alpha2_AIXExplainerSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "AIXExplainerSpec defines the arguments for configuring an AIX Explanation Server",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "The type of AIX explainer",
Type: []string{"string"},
Format: "",
},
},
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The location of a trained explanation model",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to latest AIX Version",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
"config": {
SchemaProps: spec.SchemaProps{
Description: "Inline custom parameter settings for explainer",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"string"},
Format: "",
},
},
},
},
},
},
Required: []string{"type"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_AlibiExplainerSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "AlibiExplainerSpec defines the arguments for configuring an Alibi Explanation Server",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "The type of Alibi explainer",
Type: []string{"string"},
Format: "",
},
},
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The location of a trained explanation model",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "Alibi docker image version which defaults to latest release",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
"config": {
SchemaProps: spec.SchemaProps{
Description: "Inline custom parameter settings for explainer",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"string"},
Format: "",
},
},
},
},
},
},
Required: []string{"type"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_Batcher(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "Batcher provides optional payload batcher for all endpoints",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"maxBatchSize": {
SchemaProps: spec.SchemaProps{
Description: "MaxBatchSize of batcher service",
Type: []string{"integer"},
Format: "int32",
},
},
"maxLatency": {
SchemaProps: spec.SchemaProps{
Description: "MaxLatency of batcher service",
Type: []string{"integer"},
Format: "int32",
},
},
"timeout": {
SchemaProps: spec.SchemaProps{
Description: "Timeout of batcher service",
Type: []string{"integer"},
Format: "int32",
},
},
},
},
},
}
}
func schema_pkg_apis_serving_v1alpha2_CustomSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "CustomSpec provides a hook for arbitrary container configuration.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"container": {
SchemaProps: spec.SchemaProps{
Ref: ref("k8s.io/api/core/v1.Container"),
},
},
},
Required: []string{"container"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.Container"},
}
}
func schema_pkg_apis_serving_v1alpha2_DeploymentSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "DeploymentSpec defines the configuration for a given InferenceService service component",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"serviceAccountName": {
SchemaProps: spec.SchemaProps{
Description: "ServiceAccountName is the name of the ServiceAccount to use to run the service",
Type: []string{"string"},
Format: "",
},
},
"minReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Minimum number of replicas which defaults to 1, when minReplicas = 0 pods scale down to 0 in case of no traffic",
Type: []string{"integer"},
Format: "int32",
},
},
"maxReplicas": {
SchemaProps: spec.SchemaProps{
Description: "This is the up bound for autoscaler to scale to",
Type: []string{"integer"},
Format: "int32",
},
},
"parallelism": {
SchemaProps: spec.SchemaProps{
Description: "Parallelism specifies how many requests can be processed concurrently, this sets the hard limit of the container concurrency(https://knative.dev/docs/serving/autoscaling/concurrency).",
Type: []string{"integer"},
Format: "int32",
},
},
"logger": {
SchemaProps: spec.SchemaProps{
Description: "Activate request/response logging",
Ref: ref("./pkg/apis/serving/v1alpha2.Logger"),
},
},
"batcher": {
SchemaProps: spec.SchemaProps{
Description: "Activate request batching",
Ref: ref("./pkg/apis/serving/v1alpha2.Batcher"),
},
},
},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.Batcher", "./pkg/apis/serving/v1alpha2.Logger"},
}
}
func schema_pkg_apis_serving_v1alpha2_EndpointSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Type: []string{"object"},
Properties: map[string]spec.Schema{
"predictor": {
SchemaProps: spec.SchemaProps{
Description: "Predictor defines the model serving spec",
Ref: ref("./pkg/apis/serving/v1alpha2.PredictorSpec"),
},
},
"explainer": {
SchemaProps: spec.SchemaProps{
Description: "Explainer defines the model explanation service spec, explainer service calls to predictor or transformer if it is specified.",
Ref: ref("./pkg/apis/serving/v1alpha2.ExplainerSpec"),
},
},
"transformer": {
SchemaProps: spec.SchemaProps{
Description: "Transformer defines the pre/post processing before and after the predictor call, transformer service calls to predictor service.",
Ref: ref("./pkg/apis/serving/v1alpha2.TransformerSpec"),
},
},
},
Required: []string{"predictor"},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.ExplainerSpec", "./pkg/apis/serving/v1alpha2.PredictorSpec", "./pkg/apis/serving/v1alpha2.TransformerSpec"},
}
}
func schema_pkg_apis_serving_v1alpha2_ExplainerSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ExplainerSpec defines the arguments for a model explanation server, The following fields follow a \"1-of\" semantic. Users must specify exactly one spec.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"alibi": {
SchemaProps: spec.SchemaProps{
Description: "Spec for alibi explainer",
Ref: ref("./pkg/apis/serving/v1alpha2.AlibiExplainerSpec"),
},
},
"aix": {
SchemaProps: spec.SchemaProps{
Description: "Spec for AIX explainer",
Ref: ref("./pkg/apis/serving/v1alpha2.AIXExplainerSpec"),
},
},
"custom": {
SchemaProps: spec.SchemaProps{
Description: "Spec for a custom explainer",
Ref: ref("./pkg/apis/serving/v1alpha2.CustomSpec"),
},
},
"serviceAccountName": {
SchemaProps: spec.SchemaProps{
Description: "ServiceAccountName is the name of the ServiceAccount to use to run the service",
Type: []string{"string"},
Format: "",
},
},
"minReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Minimum number of replicas which defaults to 1, when minReplicas = 0 pods scale down to 0 in case of no traffic",
Type: []string{"integer"},
Format: "int32",
},
},
"maxReplicas": {
SchemaProps: spec.SchemaProps{
Description: "This is the up bound for autoscaler to scale to",
Type: []string{"integer"},
Format: "int32",
},
},
"parallelism": {
SchemaProps: spec.SchemaProps{
Description: "Parallelism specifies how many requests can be processed concurrently, this sets the hard limit of the container concurrency(https://knative.dev/docs/serving/autoscaling/concurrency).",
Type: []string{"integer"},
Format: "int32",
},
},
"logger": {
SchemaProps: spec.SchemaProps{
Description: "Activate request/response logging",
Ref: ref("./pkg/apis/serving/v1alpha2.Logger"),
},
},
"batcher": {
SchemaProps: spec.SchemaProps{
Description: "Activate request batching",
Ref: ref("./pkg/apis/serving/v1alpha2.Batcher"),
},
},
},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.AIXExplainerSpec", "./pkg/apis/serving/v1alpha2.AlibiExplainerSpec", "./pkg/apis/serving/v1alpha2.Batcher", "./pkg/apis/serving/v1alpha2.CustomSpec", "./pkg/apis/serving/v1alpha2.Logger"},
}
}
func schema_pkg_apis_serving_v1alpha2_InferenceService(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceService is the Schema for the services 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{
Ref: ref("k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"),
},
},
"spec": {
SchemaProps: spec.SchemaProps{
Ref: ref("./pkg/apis/serving/v1alpha2.InferenceServiceSpec"),
},
},
"status": {
SchemaProps: spec.SchemaProps{
Ref: ref("./pkg/apis/serving/v1alpha2.InferenceServiceStatus"),
},
},
},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.InferenceServiceSpec", "./pkg/apis/serving/v1alpha2.InferenceServiceStatus", "k8s.io/apimachinery/pkg/apis/meta/v1.ObjectMeta"},
}
}
func schema_pkg_apis_serving_v1alpha2_InferenceServiceList(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceServiceList contains a list of Service",
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{
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{
Ref: ref("./pkg/apis/serving/v1alpha2.InferenceService"),
},
},
},
},
},
},
Required: []string{"items"},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.InferenceService", "k8s.io/apimachinery/pkg/apis/meta/v1.ListMeta"},
}
}
func schema_pkg_apis_serving_v1alpha2_InferenceServiceSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceServiceSpec defines the desired state of InferenceService",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"default": {
SchemaProps: spec.SchemaProps{
Description: "Default defines default InferenceService endpoints",
Ref: ref("./pkg/apis/serving/v1alpha2.EndpointSpec"),
},
},
"canary": {
SchemaProps: spec.SchemaProps{
Description: "Canary defines alternate endpoints to route a percentage of traffic.",
Ref: ref("./pkg/apis/serving/v1alpha2.EndpointSpec"),
},
},
"canaryTrafficPercent": {
SchemaProps: spec.SchemaProps{
Description: "CanaryTrafficPercent defines the percentage of traffic going to canary InferenceService endpoints",
Type: []string{"integer"},
Format: "int32",
},
},
},
Required: []string{"default"},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.EndpointSpec"},
}
}
func schema_pkg_apis_serving_v1alpha2_InferenceServiceStatus(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "InferenceServiceStatus defines the observed state of InferenceService",
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{
Ref: ref("knative.dev/pkg/apis.Condition"),
},
},
},
},
},
"url": {
SchemaProps: spec.SchemaProps{
Description: "URL of the InferenceService",
Type: []string{"string"},
Format: "",
},
},
"traffic": {
SchemaProps: spec.SchemaProps{
Description: "Traffic percentage that goes to default services",
Type: []string{"integer"},
Format: "int32",
},
},
"canaryTraffic": {
SchemaProps: spec.SchemaProps{
Description: "Traffic percentage that goes to canary services",
Type: []string{"integer"},
Format: "int32",
},
},
"default": {
SchemaProps: spec.SchemaProps{
Description: "Statuses for the default endpoints of the InferenceService",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Ref: ref("./pkg/apis/serving/v1alpha2.StatusConfigurationSpec"),
},
},
},
},
},
"canary": {
SchemaProps: spec.SchemaProps{
Description: "Statuses for the canary endpoints of the InferenceService",
Type: []string{"object"},
AdditionalProperties: &spec.SchemaOrBool{
Allows: true,
Schema: &spec.Schema{
SchemaProps: spec.SchemaProps{
Ref: ref("./pkg/apis/serving/v1alpha2.StatusConfigurationSpec"),
},
},
},
},
},
"address": {
SchemaProps: spec.SchemaProps{
Description: "Addressable URL for eventing",
Ref: ref("knative.dev/pkg/apis/duck/v1beta1.Addressable"),
},
},
},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.StatusConfigurationSpec", "knative.dev/pkg/apis.Condition", "knative.dev/pkg/apis/duck/v1beta1.Addressable"},
}
}
func schema_pkg_apis_serving_v1alpha2_Logger(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "Logger provides optional payload logging for all endpoints",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"url": {
SchemaProps: spec.SchemaProps{
Description: "URL to send request logging CloudEvents",
Type: []string{"string"},
Format: "",
},
},
"mode": {
SchemaProps: spec.SchemaProps{
Description: "What payloads to log: [all, request, response]",
Type: []string{"string"},
Format: "",
},
},
},
},
},
}
}
func schema_pkg_apis_serving_v1alpha2_ONNXSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "ONNXSpec defines arguments for configuring ONNX model serving.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The URI of the exported onnx model(model.onnx)",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "ONNXRuntime docker image versions, default version can be set in the inferenceservice configmap",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
},
Required: []string{"storageUri"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_PMMLSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "PMMLSpec defines arguments for configuring PMML model serving.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The URI of the trained model which contains model.pmml",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "PMML KFServer docker image version which defaults to latest release",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
},
Required: []string{"storageUri"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_PredictorSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "PredictorSpec defines the configuration for a predictor, The following fields follow a \"1-of\" semantic. Users must specify exactly one spec.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"custom": {
SchemaProps: spec.SchemaProps{
Description: "Spec for a custom predictor",
Ref: ref("./pkg/apis/serving/v1alpha2.CustomSpec"),
},
},
"tensorflow": {
SchemaProps: spec.SchemaProps{
Description: "Spec for Tensorflow Serving (https://github.com/tensorflow/serving)",
Ref: ref("./pkg/apis/serving/v1alpha2.TensorflowSpec"),
},
},
"triton": {
SchemaProps: spec.SchemaProps{
Description: "Spec for Triton Inference Server (https://github.com/triton-inference-server/server)",
Ref: ref("./pkg/apis/serving/v1alpha2.TritonSpec"),
},
},
"xgboost": {
SchemaProps: spec.SchemaProps{
Description: "Spec for XGBoost predictor",
Ref: ref("./pkg/apis/serving/v1alpha2.XGBoostSpec"),
},
},
"sklearn": {
SchemaProps: spec.SchemaProps{
Description: "Spec for SKLearn predictor",
Ref: ref("./pkg/apis/serving/v1alpha2.SKLearnSpec"),
},
},
"onnx": {
SchemaProps: spec.SchemaProps{
Description: "Spec for ONNX runtime (https://github.com/microsoft/onnxruntime)",
Ref: ref("./pkg/apis/serving/v1alpha2.ONNXSpec"),
},
},
"pytorch": {
SchemaProps: spec.SchemaProps{
Description: "Spec for PyTorch predictor",
Ref: ref("./pkg/apis/serving/v1alpha2.PyTorchSpec"),
},
},
"pmml": {
SchemaProps: spec.SchemaProps{
Description: "Spec for PMML predictor",
Ref: ref("./pkg/apis/serving/v1alpha2.PMMLSpec"),
},
},
"serviceAccountName": {
SchemaProps: spec.SchemaProps{
Description: "ServiceAccountName is the name of the ServiceAccount to use to run the service",
Type: []string{"string"},
Format: "",
},
},
"minReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Minimum number of replicas which defaults to 1, when minReplicas = 0 pods scale down to 0 in case of no traffic",
Type: []string{"integer"},
Format: "int32",
},
},
"maxReplicas": {
SchemaProps: spec.SchemaProps{
Description: "This is the up bound for autoscaler to scale to",
Type: []string{"integer"},
Format: "int32",
},
},
"parallelism": {
SchemaProps: spec.SchemaProps{
Description: "Parallelism specifies how many requests can be processed concurrently, this sets the hard limit of the container concurrency(https://knative.dev/docs/serving/autoscaling/concurrency).",
Type: []string{"integer"},
Format: "int32",
},
},
"logger": {
SchemaProps: spec.SchemaProps{
Description: "Activate request/response logging",
Ref: ref("./pkg/apis/serving/v1alpha2.Logger"),
},
},
"batcher": {
SchemaProps: spec.SchemaProps{
Description: "Activate request batching",
Ref: ref("./pkg/apis/serving/v1alpha2.Batcher"),
},
},
},
},
},
Dependencies: []string{
"./pkg/apis/serving/v1alpha2.Batcher", "./pkg/apis/serving/v1alpha2.CustomSpec", "./pkg/apis/serving/v1alpha2.Logger", "./pkg/apis/serving/v1alpha2.ONNXSpec", "./pkg/apis/serving/v1alpha2.PMMLSpec", "./pkg/apis/serving/v1alpha2.PyTorchSpec", "./pkg/apis/serving/v1alpha2.SKLearnSpec", "./pkg/apis/serving/v1alpha2.TensorflowSpec", "./pkg/apis/serving/v1alpha2.TritonSpec", "./pkg/apis/serving/v1alpha2.XGBoostSpec"},
}
}
func schema_pkg_apis_serving_v1alpha2_PyTorchSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "PyTorchSpec defines arguments for configuring PyTorch model serving.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The URI of the trained model which contains model.pt",
Type: []string{"string"},
Format: "",
},
},
"modelClassName": {
SchemaProps: spec.SchemaProps{
Description: "Defaults PyTorch model class name to 'PyTorchModel'",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "PyTorch KFServer docker image version which defaults to latest release",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
},
Required: []string{"storageUri"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_SKLearnSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "SKLearnSpec defines arguments for configuring SKLearn model serving.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The URI of the trained model which contains model.pickle, model.pkl or model.joblib",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "SKLearn KFServer docker image version which defaults to latest release",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
},
Required: []string{"storageUri"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_StatusConfigurationSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "StatusConfigurationSpec describes the state of the configuration receiving traffic.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"name": {
SchemaProps: spec.SchemaProps{
Description: "Latest revision name that is in ready state",
Type: []string{"string"},
Format: "",
},
},
"host": {
SchemaProps: spec.SchemaProps{
Description: "Host name of the service",
Type: []string{"string"},
Format: "",
},
},
},
},
},
}
}
func schema_pkg_apis_serving_v1alpha2_TensorflowSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "TensorflowSpec defines arguments for configuring Tensorflow model serving.",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"storageUri": {
SchemaProps: spec.SchemaProps{
Description: "The URI for the saved model(https://www.tensorflow.org/tutorials/keras/save_and_load)",
Type: []string{"string"},
Format: "",
},
},
"runtimeVersion": {
SchemaProps: spec.SchemaProps{
Description: "TFServing docker image version(https://hub.docker.com/r/tensorflow/serving), default version can be set in the inferenceservice configmap.",
Type: []string{"string"},
Format: "",
},
},
"resources": {
SchemaProps: spec.SchemaProps{
Description: "Defaults to requests and limits of 1CPU, 2Gb MEM.",
Ref: ref("k8s.io/api/core/v1.ResourceRequirements"),
},
},
},
Required: []string{"storageUri"},
},
},
Dependencies: []string{
"k8s.io/api/core/v1.ResourceRequirements"},
}
}
func schema_pkg_apis_serving_v1alpha2_TransformerSpec(ref common.ReferenceCallback) common.OpenAPIDefinition {
return common.OpenAPIDefinition{
Schema: spec.Schema{
SchemaProps: spec.SchemaProps{
Description: "TransformerSpec defines transformer service for pre/post processing",
Type: []string{"object"},
Properties: map[string]spec.Schema{
"custom": {
SchemaProps: spec.SchemaProps{
Description: "Spec for a custom transformer",
Ref: ref("./pkg/apis/serving/v1alpha2.CustomSpec"),
},
},
"serviceAccountName": {
SchemaProps: spec.SchemaProps{
Description: "ServiceAccountName is the name of the ServiceAccount to use to run the service",
Type: []string{"string"},
Format: "",
},
},
"minReplicas": {
SchemaProps: spec.SchemaProps{
Description: "Minimum number of replicas which defaults to 1, when minReplicas = 0 pods scale down to 0 in case of no traffic",
Type: []string{"integer"},
Format: "int32",
},
},
"maxReplicas": {
SchemaProps: spec.SchemaProps{
Description: "This is the up bound for autoscaler to scale to",
Type: []string{"integer"},
Format: "int32",
},
},
"parallelism": {
SchemaProps: spec.SchemaProps{