forked from googleapis/google-cloud-go
/
accelerator_type.pb.go
202 lines (182 loc) · 9.25 KB
/
accelerator_type.pb.go
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// Copyright 2022 Google LLC
//
// 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 protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.26.0
// protoc v3.21.5
// source: google/cloud/aiplatform/v1beta1/accelerator_type.proto
package aiplatformpb
import (
reflect "reflect"
sync "sync"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
)
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)
)
// Represents a hardware accelerator type.
type AcceleratorType int32
const (
// Unspecified accelerator type, which means no accelerator.
AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED AcceleratorType = 0
// Nvidia Tesla K80 GPU.
AcceleratorType_NVIDIA_TESLA_K80 AcceleratorType = 1
// Nvidia Tesla P100 GPU.
AcceleratorType_NVIDIA_TESLA_P100 AcceleratorType = 2
// Nvidia Tesla V100 GPU.
AcceleratorType_NVIDIA_TESLA_V100 AcceleratorType = 3
// Nvidia Tesla P4 GPU.
AcceleratorType_NVIDIA_TESLA_P4 AcceleratorType = 4
// Nvidia Tesla T4 GPU.
AcceleratorType_NVIDIA_TESLA_T4 AcceleratorType = 5
// Nvidia Tesla A100 GPU.
AcceleratorType_NVIDIA_TESLA_A100 AcceleratorType = 8
// TPU v2.
AcceleratorType_TPU_V2 AcceleratorType = 6
// TPU v3.
AcceleratorType_TPU_V3 AcceleratorType = 7
)
// Enum value maps for AcceleratorType.
var (
AcceleratorType_name = map[int32]string{
0: "ACCELERATOR_TYPE_UNSPECIFIED",
1: "NVIDIA_TESLA_K80",
2: "NVIDIA_TESLA_P100",
3: "NVIDIA_TESLA_V100",
4: "NVIDIA_TESLA_P4",
5: "NVIDIA_TESLA_T4",
8: "NVIDIA_TESLA_A100",
6: "TPU_V2",
7: "TPU_V3",
}
AcceleratorType_value = map[string]int32{
"ACCELERATOR_TYPE_UNSPECIFIED": 0,
"NVIDIA_TESLA_K80": 1,
"NVIDIA_TESLA_P100": 2,
"NVIDIA_TESLA_V100": 3,
"NVIDIA_TESLA_P4": 4,
"NVIDIA_TESLA_T4": 5,
"NVIDIA_TESLA_A100": 8,
"TPU_V2": 6,
"TPU_V3": 7,
}
)
func (x AcceleratorType) Enum() *AcceleratorType {
p := new(AcceleratorType)
*p = x
return p
}
func (x AcceleratorType) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor {
return file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_enumTypes[0].Descriptor()
}
func (AcceleratorType) Type() protoreflect.EnumType {
return &file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_enumTypes[0]
}
func (x AcceleratorType) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use AcceleratorType.Descriptor instead.
func (AcceleratorType) EnumDescriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescGZIP(), []int{0}
}
var File_google_cloud_aiplatform_v1beta1_accelerator_type_proto protoreflect.FileDescriptor
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}
var (
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDesc
)
func file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDescData
}
var file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_goTypes = []interface{}{
(AcceleratorType)(0), // 0: google.cloud.aiplatform.v1beta1.AcceleratorType
}
var file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_depIdxs = []int32{
0, // [0:0] is the sub-list for method output_type
0, // [0:0] is the sub-list for method input_type
0, // [0:0] is the sub-list for extension type_name
0, // [0:0] is the sub-list for extension extendee
0, // [0:0] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_init() }
func file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_init() {
if File_google_cloud_aiplatform_v1beta1_accelerator_type_proto != nil {
return
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDesc,
NumEnums: 1,
NumMessages: 0,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_depIdxs,
EnumInfos: file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_enumTypes,
}.Build()
File_google_cloud_aiplatform_v1beta1_accelerator_type_proto = out.File
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_rawDesc = nil
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_goTypes = nil
file_google_cloud_aiplatform_v1beta1_accelerator_type_proto_depIdxs = nil
}