kserve/pkg/apis/serving/v1alpha1/trained_model.go

/*
Copyright 2021 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.
*/

package v1alpha1

import (
	"k8s.io/apimachinery/pkg/api/resource"
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
)

// TrainedModel is the Schema for the TrainedModel API
// +k8s:openapi-gen=true
// +genclient
// +kubebuilder:object:root=true
// +kubebuilder:subresource:status
// +kubebuilder:printcolumn:name="URL",type="string",JSONPath=".status.url"
// +kubebuilder:printcolumn:name="Ready",type="string",JSONPath=".status.conditions[?(@.type=='Ready')].status"
// +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp"
// +kubebuilder:resource:path=trainedmodels,shortName=tm,singular=trainedmodel
type TrainedModel struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	Spec              TrainedModelSpec   `json:"spec,omitempty"`
	Status            TrainedModelStatus `json:"status,omitempty"`
}

// TrainedModelList contains a list of TrainedModel
// +k8s:openapi-gen=true
// +kubebuilder:object:root=true
type TrainedModelList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	// +listType=set
	Items []TrainedModel `json:"items"`
}

// TrainedModelSpec defines the TrainedModel spec
// +k8s:openapi-gen=true
type TrainedModelSpec struct {
	// parent inference service to deploy to
	// +required
	InferenceService string `json:"inferenceService"`
	// Predictor model spec
	// +required
	Model ModelSpec `json:"model"`
}

// ModelSpec describes a TrainedModel
// +k8s:openapi-gen=true
type ModelSpec struct {
	// Storage URI for the model repository
	StorageURI string `json:"storageUri"`
	// Machine Learning <framework name>
	// The values could be: "tensorflow","pytorch","sklearn","onnx","xgboost", "myawesomeinternalframework" etc.
	Framework string `json:"framework"`
	// Maximum memory this model will consume, this field is used to decide if a model server has enough memory to load this model.
	Memory resource.Quantity `json:"memory"`
}

func (tms *TrainedModelList) TotalRequestedMemory() resource.Quantity {
	totalMemory := resource.MustParse("0Mi")

	for _, tm := range tms.Items {
		totalMemory.Add(tm.Spec.Model.Memory)
	}

	return totalMemory
}