mirror of
https://github.com/hanzo-ml/kserve.git
synced 2026-10-30 20:53:49 +00:00
Signed-off-by: cory-johannsen <[email protected]> Signed-off-by: cjohannsen-cloudera <[email protected]> Co-authored-by: Sivanantham <[email protected]>
132 lines
4.4 KiB
Go
132 lines
4.4 KiB
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 v1beta1
|
|
|
|
import (
|
|
"fmt"
|
|
"strconv"
|
|
|
|
corev1 "k8s.io/api/core/v1"
|
|
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
|
|
logf "sigs.k8s.io/controller-runtime/pkg/log"
|
|
|
|
"github.com/kserve/kserve/pkg/constants"
|
|
"github.com/kserve/kserve/pkg/utils"
|
|
)
|
|
|
|
// CustomTransformer defines arguments for configuring a custom transformer.
|
|
type CustomTransformer struct {
|
|
corev1.PodSpec `json:",inline"`
|
|
}
|
|
|
|
// logger for the custom transformer
|
|
var customTransformerLogger = logf.Log.WithName("inferenceservice-v1beta1-custom-transformer")
|
|
|
|
var _ ComponentImplementation = &CustomTransformer{}
|
|
|
|
func NewCustomTransformer(podSpec *PodSpec) *CustomTransformer {
|
|
return &CustomTransformer{PodSpec: corev1.PodSpec(*podSpec)}
|
|
}
|
|
|
|
// Validate returns an error if invalid
|
|
func (c *CustomTransformer) Validate() error {
|
|
return utils.FirstNonNilError([]error{})
|
|
}
|
|
|
|
// Default sets defaults on the resource
|
|
func (c *CustomTransformer) Default(config *InferenceServicesConfig) {
|
|
if len(c.Containers) == 0 {
|
|
c.Containers = append(c.Containers, corev1.Container{})
|
|
}
|
|
c.Containers[0].Name = constants.InferenceServiceContainerName
|
|
setResourceRequirementDefaults(config, &c.Containers[0].Resources)
|
|
}
|
|
|
|
func (c *CustomTransformer) GetStorageUri() *string {
|
|
// return the CustomSpecStorageUri env variable value if set on the spec
|
|
for _, envVar := range c.Containers[0].Env {
|
|
if envVar.Name == constants.CustomSpecStorageUriEnvVarKey {
|
|
return &envVar.Value
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (c *CustomTransformer) GetStorageSpec() *ModelStorageSpec {
|
|
return nil
|
|
}
|
|
|
|
// GetContainer transforms the resource into a container spec
|
|
func (c *CustomTransformer) GetContainer(metadata metav1.ObjectMeta, extensions *ComponentExtensionSpec, config *InferenceServicesConfig,
|
|
predictorHost ...string,
|
|
) *corev1.Container {
|
|
container := &c.Containers[0]
|
|
argumentPredictorHost := fmt.Sprintf("%s.%s", predictorHost[0], metadata.Namespace)
|
|
deploymentMode, ok := metadata.Annotations[constants.DeploymentMode]
|
|
|
|
if ok && (deploymentMode == string(constants.ModelMeshDeployment)) {
|
|
// Get predictor host and protocol from annotations in modelmesh deployment mode
|
|
argumentPredictorHost = metadata.Annotations[constants.PredictorHostAnnotationKey]
|
|
argumentPredictorProtocol := metadata.Annotations[constants.PredictorProtocolAnnotationKey]
|
|
|
|
// Set predictor protocol if not provided in container arguments
|
|
if !utils.IncludesArg(container.Args, "--protocol") {
|
|
customTransformerLogger.Info("Set predictor protocol based on ModelMesh predictor URL", "protocol", argumentPredictorProtocol)
|
|
container.Args = append(container.Args, "--protocol", argumentPredictorProtocol)
|
|
}
|
|
}
|
|
|
|
if !utils.IncludesArg(container.Args, constants.ArgumentModelName) {
|
|
container.Args = append(container.Args, []string{
|
|
constants.ArgumentModelName,
|
|
metadata.Name,
|
|
}...)
|
|
}
|
|
if !utils.IncludesArg(container.Args, constants.ArgumentPredictorHost) {
|
|
container.Args = append(container.Args, []string{
|
|
constants.ArgumentPredictorHost,
|
|
argumentPredictorHost,
|
|
}...)
|
|
}
|
|
if !utils.IncludesArg(container.Args, constants.ArgumentHttpPort) {
|
|
container.Args = append(container.Args, []string{
|
|
constants.ArgumentHttpPort,
|
|
constants.InferenceServiceDefaultHttpPort,
|
|
}...)
|
|
}
|
|
if !utils.IncludesArg(container.Args, constants.ArgumentWorkers) {
|
|
if extensions.ContainerConcurrency != nil {
|
|
container.Args = append(container.Args, constants.ArgumentWorkers, strconv.FormatInt(*extensions.ContainerConcurrency, 10))
|
|
}
|
|
}
|
|
return &c.Containers[0]
|
|
}
|
|
|
|
func (c *CustomTransformer) GetProtocol() constants.InferenceServiceProtocol {
|
|
for _, envVar := range c.Containers[0].Env {
|
|
if envVar.Name == constants.CustomSpecProtocolEnvVarKey {
|
|
return constants.InferenceServiceProtocol(envVar.Value)
|
|
}
|
|
}
|
|
return constants.ProtocolV1
|
|
}
|
|
|
|
func (c *CustomTransformer) IsMMS(config *InferenceServicesConfig) bool {
|
|
// TODO: figure out if custom transformer supports MMS
|
|
return false
|
|
}
|