// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.36.9
// 	protoc        v6.32.1
// source: kubemodel/gpu.proto

package kubemodel

import (
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	reflect "reflect"
	sync "sync"
	unsafe "unsafe"
)

const (
	// Verify that this generated code is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
	// Verify that runtime/protoimpl is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)

// GPUDevice represents a GPU device with DCGM integration (provisioned resource)
// This tracks available GPU capacity on a node
type GPUDevice struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Identification
	ID     string `protobuf:"bytes,1,opt,name=ID,proto3" json:"ID,omitempty"`         // GPU UUID (hardware identifier)
	NodeID string `protobuf:"bytes,2,opt,name=nodeID,proto3" json:"nodeID,omitempty"` // Node hosting this GPU device
	// Properties
	DeviceNumber int32  `protobuf:"varint,3,opt,name=deviceNumber,proto3" json:"deviceNumber,omitempty"`
	ModelName    string `protobuf:"bytes,4,opt,name=modelName,proto3" json:"modelName,omitempty"`
	// GPU sharing information
	IsShared        bool    `protobuf:"varint,6,opt,name=isShared,proto3" json:"isShared,omitempty"`
	SharePercentage float32 `protobuf:"fixed32,9,opt,name=sharePercentage,proto3" json:"sharePercentage,omitempty"`
	// Capacity metrics
	// GPU hours available
	GpuHours float32 `protobuf:"fixed32,10,opt,name=gpuHours,proto3" json:"gpuHours,omitempty"`
	// GPU request average percentage (0-100)
	GpuRequestAverage float32 `protobuf:"fixed32,11,opt,name=gpuRequestAverage,proto3" json:"gpuRequestAverage,omitempty"`
	// GPU usage average percentage (0-100)
	GpuUsageAverage float32 `protobuf:"fixed32,12,opt,name=gpuUsageAverage,proto3" json:"gpuUsageAverage,omitempty"`
	// GPU usage max percentage (0-100)
	GpuUsageMax float32 `protobuf:"fixed32,13,opt,name=gpuUsageMax,proto3" json:"gpuUsageMax,omitempty"`
	// GPU memory capacity in bytes
	MemoryBytes int64 `protobuf:"varint,14,opt,name=memoryBytes,proto3" json:"memoryBytes,omitempty"`
	// Diagnostic information about this resource
	Diagnostic    *DiagnosticResult `protobuf:"bytes,99,opt,name=diagnostic,proto3,oneof" json:"diagnostic,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *GPUDevice) Reset() {
	*x = GPUDevice{}
	mi := &file_kubemodel_gpu_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *GPUDevice) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GPUDevice) ProtoMessage() {}

func (x *GPUDevice) ProtoReflect() protoreflect.Message {
	mi := &file_kubemodel_gpu_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GPUDevice.ProtoReflect.Descriptor instead.
func (*GPUDevice) Descriptor() ([]byte, []int) {
	return file_kubemodel_gpu_proto_rawDescGZIP(), []int{0}
}

func (x *GPUDevice) GetID() string {
	if x != nil {
		return x.ID
	}
	return ""
}

func (x *GPUDevice) GetNodeID() string {
	if x != nil {
		return x.NodeID
	}
	return ""
}

func (x *GPUDevice) GetDeviceNumber() int32 {
	if x != nil {
		return x.DeviceNumber
	}
	return 0
}

func (x *GPUDevice) GetModelName() string {
	if x != nil {
		return x.ModelName
	}
	return ""
}

func (x *GPUDevice) GetIsShared() bool {
	if x != nil {
		return x.IsShared
	}
	return false
}

func (x *GPUDevice) GetSharePercentage() float32 {
	if x != nil {
		return x.SharePercentage
	}
	return 0
}

func (x *GPUDevice) GetGpuHours() float32 {
	if x != nil {
		return x.GpuHours
	}
	return 0
}

func (x *GPUDevice) GetGpuRequestAverage() float32 {
	if x != nil {
		return x.GpuRequestAverage
	}
	return 0
}

func (x *GPUDevice) GetGpuUsageAverage() float32 {
	if x != nil {
		return x.GpuUsageAverage
	}
	return 0
}

func (x *GPUDevice) GetGpuUsageMax() float32 {
	if x != nil {
		return x.GpuUsageMax
	}
	return 0
}

func (x *GPUDevice) GetMemoryBytes() int64 {
	if x != nil {
		return x.MemoryBytes
	}
	return 0
}

func (x *GPUDevice) GetDiagnostic() *DiagnosticResult {
	if x != nil {
		return x.Diagnostic
	}
	return nil
}

// GPUUsage represents GPU resources consumed by a container (allocated resource)
// This tracks actual GPU usage by containers for cost analysis
type GPUUsage struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Identification
	ContainerID string `protobuf:"bytes,1,opt,name=containerID,proto3" json:"containerID,omitempty"` // Container consuming GPU resources
	GpuDeviceID string `protobuf:"bytes,2,opt,name=gpuDeviceID,proto3" json:"gpuDeviceID,omitempty"` // Reference to the GPU device being used
	// Usage metrics
	// GPU usage in device-hours consumed
	GpuHours float32 `protobuf:"fixed32,3,opt,name=gpuHours,proto3" json:"gpuHours,omitempty"`
	// GPU request in percentage (0-100)
	GpuRequestPercentage float32 `protobuf:"fixed32,4,opt,name=gpuRequestPercentage,proto3" json:"gpuRequestPercentage,omitempty"`
	// GPU usage average percentage (0-100)
	GpuUsageAverage float32 `protobuf:"fixed32,5,opt,name=gpuUsageAverage,proto3" json:"gpuUsageAverage,omitempty"`
	// GPU usage max percentage (0-100)
	GpuUsageMax float32 `protobuf:"fixed32,6,opt,name=gpuUsageMax,proto3" json:"gpuUsageMax,omitempty"`
	// GPU memory usage in bytes
	MemoryBytesUsed int64 `protobuf:"varint,7,opt,name=memoryBytesUsed,proto3" json:"memoryBytesUsed,omitempty"`
	// Diagnostic information about this resource
	Diagnostic    *DiagnosticResult `protobuf:"bytes,99,opt,name=diagnostic,proto3,oneof" json:"diagnostic,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *GPUUsage) Reset() {
	*x = GPUUsage{}
	mi := &file_kubemodel_gpu_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *GPUUsage) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GPUUsage) ProtoMessage() {}

func (x *GPUUsage) ProtoReflect() protoreflect.Message {
	mi := &file_kubemodel_gpu_proto_msgTypes[1]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GPUUsage.ProtoReflect.Descriptor instead.
func (*GPUUsage) Descriptor() ([]byte, []int) {
	return file_kubemodel_gpu_proto_rawDescGZIP(), []int{1}
}

func (x *GPUUsage) GetContainerID() string {
	if x != nil {
		return x.ContainerID
	}
	return ""
}

func (x *GPUUsage) GetGpuDeviceID() string {
	if x != nil {
		return x.GpuDeviceID
	}
	return ""
}

func (x *GPUUsage) GetGpuHours() float32 {
	if x != nil {
		return x.GpuHours
	}
	return 0
}

func (x *GPUUsage) GetGpuRequestPercentage() float32 {
	if x != nil {
		return x.GpuRequestPercentage
	}
	return 0
}

func (x *GPUUsage) GetGpuUsageAverage() float32 {
	if x != nil {
		return x.GpuUsageAverage
	}
	return 0
}

func (x *GPUUsage) GetGpuUsageMax() float32 {
	if x != nil {
		return x.GpuUsageMax
	}
	return 0
}

func (x *GPUUsage) GetMemoryBytesUsed() int64 {
	if x != nil {
		return x.MemoryBytesUsed
	}
	return 0
}

func (x *GPUUsage) GetDiagnostic() *DiagnosticResult {
	if x != nil {
		return x.Diagnostic
	}
	return nil
}

var File_kubemodel_gpu_proto protoreflect.FileDescriptor

const file_kubemodel_gpu_proto_rawDesc = "" +
	"\n" +
	"\x13kubemodel/gpu.proto\x12\tkubemodel\x1a\x1akubemodel/diagnostic.proto\"\xc4\x03\n" +
	"\tGPUDevice\x12\x0e\n" +
	"\x02ID\x18\x01 \x01(\tR\x02ID\x12\x16\n" +
	"\x06nodeID\x18\x02 \x01(\tR\x06nodeID\x12\"\n" +
	"\fdeviceNumber\x18\x03 \x01(\x05R\fdeviceNumber\x12\x1c\n" +
	"\tmodelName\x18\x04 \x01(\tR\tmodelName\x12\x1a\n" +
	"\bisShared\x18\x06 \x01(\bR\bisShared\x12(\n" +
	"\x0fsharePercentage\x18\t \x01(\x02R\x0fsharePercentage\x12\x1a\n" +
	"\bgpuHours\x18\n" +
	" \x01(\x02R\bgpuHours\x12,\n" +
	"\x11gpuRequestAverage\x18\v \x01(\x02R\x11gpuRequestAverage\x12(\n" +
	"\x0fgpuUsageAverage\x18\f \x01(\x02R\x0fgpuUsageAverage\x12 \n" +
	"\vgpuUsageMax\x18\r \x01(\x02R\vgpuUsageMax\x12 \n" +
	"\vmemoryBytes\x18\x0e \x01(\x03R\vmemoryBytes\x12@\n" +
	"\n" +
	"diagnostic\x18c \x01(\v2\x1b.kubemodel.DiagnosticResultH\x00R\n" +
	"diagnostic\x88\x01\x01B\r\n" +
	"\v_diagnostic\"\xe5\x02\n" +
	"\bGPUUsage\x12 \n" +
	"\vcontainerID\x18\x01 \x01(\tR\vcontainerID\x12 \n" +
	"\vgpuDeviceID\x18\x02 \x01(\tR\vgpuDeviceID\x12\x1a\n" +
	"\bgpuHours\x18\x03 \x01(\x02R\bgpuHours\x122\n" +
	"\x14gpuRequestPercentage\x18\x04 \x01(\x02R\x14gpuRequestPercentage\x12(\n" +
	"\x0fgpuUsageAverage\x18\x05 \x01(\x02R\x0fgpuUsageAverage\x12 \n" +
	"\vgpuUsageMax\x18\x06 \x01(\x02R\vgpuUsageMax\x12(\n" +
	"\x0fmemoryBytesUsed\x18\a \x01(\x03R\x0fmemoryBytesUsed\x12@\n" +
	"\n" +
	"diagnostic\x18c \x01(\v2\x1b.kubemodel.DiagnosticResultH\x00R\n" +
	"diagnostic\x88\x01\x01B\r\n" +
	"\v_diagnosticB:Z8github.com/opencost/opencost/core/pkg/model/pb/kubemodelb\x06proto3"

var (
	file_kubemodel_gpu_proto_rawDescOnce sync.Once
	file_kubemodel_gpu_proto_rawDescData []byte
)

func file_kubemodel_gpu_proto_rawDescGZIP() []byte {
	file_kubemodel_gpu_proto_rawDescOnce.Do(func() {
		file_kubemodel_gpu_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_kubemodel_gpu_proto_rawDesc), len(file_kubemodel_gpu_proto_rawDesc)))
	})
	return file_kubemodel_gpu_proto_rawDescData
}

var file_kubemodel_gpu_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_kubemodel_gpu_proto_goTypes = []any{
	(*GPUDevice)(nil),        // 0: kubemodel.GPUDevice
	(*GPUUsage)(nil),         // 1: kubemodel.GPUUsage
	(*DiagnosticResult)(nil), // 2: kubemodel.DiagnosticResult
}
var file_kubemodel_gpu_proto_depIdxs = []int32{
	2, // 0: kubemodel.GPUDevice.diagnostic:type_name -> kubemodel.DiagnosticResult
	2, // 1: kubemodel.GPUUsage.diagnostic:type_name -> kubemodel.DiagnosticResult
	2, // [2:2] is the sub-list for method output_type
	2, // [2:2] is the sub-list for method input_type
	2, // [2:2] is the sub-list for extension type_name
	2, // [2:2] is the sub-list for extension extendee
	0, // [0:2] is the sub-list for field type_name
}

func init() { file_kubemodel_gpu_proto_init() }
func file_kubemodel_gpu_proto_init() {
	if File_kubemodel_gpu_proto != nil {
		return
	}
	file_kubemodel_diagnostic_proto_init()
	file_kubemodel_gpu_proto_msgTypes[0].OneofWrappers = []any{}
	file_kubemodel_gpu_proto_msgTypes[1].OneofWrappers = []any{}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: unsafe.Slice(unsafe.StringData(file_kubemodel_gpu_proto_rawDesc), len(file_kubemodel_gpu_proto_rawDesc)),
			NumEnums:      0,
			NumMessages:   2,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_kubemodel_gpu_proto_goTypes,
		DependencyIndexes: file_kubemodel_gpu_proto_depIdxs,
		MessageInfos:      file_kubemodel_gpu_proto_msgTypes,
	}.Build()
	File_kubemodel_gpu_proto = out.File
	file_kubemodel_gpu_proto_goTypes = nil
	file_kubemodel_gpu_proto_depIdxs = nil
}