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pytorch_predict.pb.go
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pytorch_predict.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// source: pytorch_predict.proto
package torch_predict_protos
import (
fmt "fmt"
math "math"
proto "github.com/golang/protobuf/proto"
)
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf
// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
type ArrayDataType int32
const (
// Not a legal value for DataType. Used to indicate a DataType field
// has not been set.
ArrayDataType_DT_INVALID ArrayDataType = 0
// Data types that all computation devices are expected to be
// capable to support.
ArrayDataType_DT_FLOAT ArrayDataType = 1
ArrayDataType_DT_DOUBLE ArrayDataType = 2
ArrayDataType_DT_INT32 ArrayDataType = 3
ArrayDataType_DT_UINT8 ArrayDataType = 4
ArrayDataType_DT_INT16 ArrayDataType = 5
ArrayDataType_DT_INT8 ArrayDataType = 6
ArrayDataType_DT_STRING ArrayDataType = 7
ArrayDataType_DT_COMPLEX64 ArrayDataType = 8
ArrayDataType_DT_INT64 ArrayDataType = 9
ArrayDataType_DT_BOOL ArrayDataType = 10
ArrayDataType_DT_QINT8 ArrayDataType = 11
ArrayDataType_DT_QUINT8 ArrayDataType = 12
ArrayDataType_DT_QINT32 ArrayDataType = 13
ArrayDataType_DT_BFLOAT16 ArrayDataType = 14
ArrayDataType_DT_QINT16 ArrayDataType = 15
ArrayDataType_DT_QUINT16 ArrayDataType = 16
ArrayDataType_DT_UINT16 ArrayDataType = 17
ArrayDataType_DT_COMPLEX128 ArrayDataType = 18
ArrayDataType_DT_HALF ArrayDataType = 19
ArrayDataType_DT_RESOURCE ArrayDataType = 20
ArrayDataType_DT_VARIANT ArrayDataType = 21
)
var ArrayDataType_name = map[int32]string{
0: "DT_INVALID",
1: "DT_FLOAT",
2: "DT_DOUBLE",
3: "DT_INT32",
4: "DT_UINT8",
5: "DT_INT16",
6: "DT_INT8",
7: "DT_STRING",
8: "DT_COMPLEX64",
9: "DT_INT64",
10: "DT_BOOL",
11: "DT_QINT8",
12: "DT_QUINT8",
13: "DT_QINT32",
14: "DT_BFLOAT16",
15: "DT_QINT16",
16: "DT_QUINT16",
17: "DT_UINT16",
18: "DT_COMPLEX128",
19: "DT_HALF",
20: "DT_RESOURCE",
21: "DT_VARIANT",
}
var ArrayDataType_value = map[string]int32{
"DT_INVALID": 0,
"DT_FLOAT": 1,
"DT_DOUBLE": 2,
"DT_INT32": 3,
"DT_UINT8": 4,
"DT_INT16": 5,
"DT_INT8": 6,
"DT_STRING": 7,
"DT_COMPLEX64": 8,
"DT_INT64": 9,
"DT_BOOL": 10,
"DT_QINT8": 11,
"DT_QUINT8": 12,
"DT_QINT32": 13,
"DT_BFLOAT16": 14,
"DT_QINT16": 15,
"DT_QUINT16": 16,
"DT_UINT16": 17,
"DT_COMPLEX128": 18,
"DT_HALF": 19,
"DT_RESOURCE": 20,
"DT_VARIANT": 21,
}
func (x ArrayDataType) String() string {
return proto.EnumName(ArrayDataType_name, int32(x))
}
func (ArrayDataType) EnumDescriptor() ([]byte, []int) {
return fileDescriptor_5c476d63db6f757a, []int{0}
}
// Dimensions of an array
type ArrayShape struct {
Dim []int64 `protobuf:"varint,1,rep,packed,name=dim,proto3" json:"dim,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ArrayShape) Reset() { *m = ArrayShape{} }
func (m *ArrayShape) String() string { return proto.CompactTextString(m) }
func (*ArrayShape) ProtoMessage() {}
func (*ArrayShape) Descriptor() ([]byte, []int) {
return fileDescriptor_5c476d63db6f757a, []int{0}
}
func (m *ArrayShape) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ArrayShape.Unmarshal(m, b)
}
func (m *ArrayShape) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ArrayShape.Marshal(b, m, deterministic)
}
func (m *ArrayShape) XXX_Merge(src proto.Message) {
xxx_messageInfo_ArrayShape.Merge(m, src)
}
func (m *ArrayShape) XXX_Size() int {
return xxx_messageInfo_ArrayShape.Size(m)
}
func (m *ArrayShape) XXX_DiscardUnknown() {
xxx_messageInfo_ArrayShape.DiscardUnknown(m)
}
var xxx_messageInfo_ArrayShape proto.InternalMessageInfo
func (m *ArrayShape) GetDim() []int64 {
if m != nil {
return m.Dim
}
return nil
}
// Protocol buffer representing an array
type ArrayProto struct {
// Data Type.
Dtype ArrayDataType `protobuf:"varint,1,opt,name=dtype,proto3,enum=pytorch.eas.ArrayDataType" json:"dtype,omitempty"`
// Shape of the array.
ArrayShape *ArrayShape `protobuf:"bytes,2,opt,name=array_shape,json=arrayShape,proto3" json:"array_shape,omitempty"`
// DT_FLOAT.
FloatVal []float32 `protobuf:"fixed32,3,rep,packed,name=float_val,json=floatVal,proto3" json:"float_val,omitempty"`
// DT_DOUBLE.
DoubleVal []float64 `protobuf:"fixed64,4,rep,packed,name=double_val,json=doubleVal,proto3" json:"double_val,omitempty"`
// DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
IntVal []int32 `protobuf:"varint,5,rep,packed,name=int_val,json=intVal,proto3" json:"int_val,omitempty"`
// DT_STRING.
StringVal [][]byte `protobuf:"bytes,6,rep,name=string_val,json=stringVal,proto3" json:"string_val,omitempty"`
// DT_INT64.
Int64Val []int64 `protobuf:"varint,7,rep,packed,name=int64_val,json=int64Val,proto3" json:"int64_val,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *ArrayProto) Reset() { *m = ArrayProto{} }
func (m *ArrayProto) String() string { return proto.CompactTextString(m) }
func (*ArrayProto) ProtoMessage() {}
func (*ArrayProto) Descriptor() ([]byte, []int) {
return fileDescriptor_5c476d63db6f757a, []int{1}
}
func (m *ArrayProto) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_ArrayProto.Unmarshal(m, b)
}
func (m *ArrayProto) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_ArrayProto.Marshal(b, m, deterministic)
}
func (m *ArrayProto) XXX_Merge(src proto.Message) {
xxx_messageInfo_ArrayProto.Merge(m, src)
}
func (m *ArrayProto) XXX_Size() int {
return xxx_messageInfo_ArrayProto.Size(m)
}
func (m *ArrayProto) XXX_DiscardUnknown() {
xxx_messageInfo_ArrayProto.DiscardUnknown(m)
}
var xxx_messageInfo_ArrayProto proto.InternalMessageInfo
func (m *ArrayProto) GetDtype() ArrayDataType {
if m != nil {
return m.Dtype
}
return ArrayDataType_DT_INVALID
}
func (m *ArrayProto) GetArrayShape() *ArrayShape {
if m != nil {
return m.ArrayShape
}
return nil
}
func (m *ArrayProto) GetFloatVal() []float32 {
if m != nil {
return m.FloatVal
}
return nil
}
func (m *ArrayProto) GetDoubleVal() []float64 {
if m != nil {
return m.DoubleVal
}
return nil
}
func (m *ArrayProto) GetIntVal() []int32 {
if m != nil {
return m.IntVal
}
return nil
}
func (m *ArrayProto) GetStringVal() [][]byte {
if m != nil {
return m.StringVal
}
return nil
}
func (m *ArrayProto) GetInt64Val() []int64 {
if m != nil {
return m.Int64Val
}
return nil
}
type PredictRequest struct {
// Input tensors.
Inputs []*ArrayProto `protobuf:"bytes,1,rep,name=inputs,proto3" json:"inputs,omitempty"`
// Output filter.
OutputFilter []int32 `protobuf:"varint,2,rep,packed,name=output_filter,json=outputFilter,proto3" json:"output_filter,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *PredictRequest) Reset() { *m = PredictRequest{} }
func (m *PredictRequest) String() string { return proto.CompactTextString(m) }
func (*PredictRequest) ProtoMessage() {}
func (*PredictRequest) Descriptor() ([]byte, []int) {
return fileDescriptor_5c476d63db6f757a, []int{2}
}
func (m *PredictRequest) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_PredictRequest.Unmarshal(m, b)
}
func (m *PredictRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_PredictRequest.Marshal(b, m, deterministic)
}
func (m *PredictRequest) XXX_Merge(src proto.Message) {
xxx_messageInfo_PredictRequest.Merge(m, src)
}
func (m *PredictRequest) XXX_Size() int {
return xxx_messageInfo_PredictRequest.Size(m)
}
func (m *PredictRequest) XXX_DiscardUnknown() {
xxx_messageInfo_PredictRequest.DiscardUnknown(m)
}
var xxx_messageInfo_PredictRequest proto.InternalMessageInfo
func (m *PredictRequest) GetInputs() []*ArrayProto {
if m != nil {
return m.Inputs
}
return nil
}
func (m *PredictRequest) GetOutputFilter() []int32 {
if m != nil {
return m.OutputFilter
}
return nil
}
// Response for PredictRequest on successful run.
type PredictResponse struct {
// Output tensors.
Outputs []*ArrayProto `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *PredictResponse) Reset() { *m = PredictResponse{} }
func (m *PredictResponse) String() string { return proto.CompactTextString(m) }
func (*PredictResponse) ProtoMessage() {}
func (*PredictResponse) Descriptor() ([]byte, []int) {
return fileDescriptor_5c476d63db6f757a, []int{3}
}
func (m *PredictResponse) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_PredictResponse.Unmarshal(m, b)
}
func (m *PredictResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_PredictResponse.Marshal(b, m, deterministic)
}
func (m *PredictResponse) XXX_Merge(src proto.Message) {
xxx_messageInfo_PredictResponse.Merge(m, src)
}
func (m *PredictResponse) XXX_Size() int {
return xxx_messageInfo_PredictResponse.Size(m)
}
func (m *PredictResponse) XXX_DiscardUnknown() {
xxx_messageInfo_PredictResponse.DiscardUnknown(m)
}
var xxx_messageInfo_PredictResponse proto.InternalMessageInfo
func (m *PredictResponse) GetOutputs() []*ArrayProto {
if m != nil {
return m.Outputs
}
return nil
}
func init() {
proto.RegisterEnum("pytorch.eas.ArrayDataType", ArrayDataType_name, ArrayDataType_value)
proto.RegisterType((*ArrayShape)(nil), "pytorch.eas.ArrayShape")
proto.RegisterType((*ArrayProto)(nil), "pytorch.eas.ArrayProto")
proto.RegisterType((*PredictRequest)(nil), "pytorch.eas.PredictRequest")
proto.RegisterType((*PredictResponse)(nil), "pytorch.eas.PredictResponse")
}
func init() { proto.RegisterFile("pytorch_predict.proto", fileDescriptor_5c476d63db6f757a) }
var fileDescriptor_5c476d63db6f757a = []byte{
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