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ArgMinOptions.go
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/
ArgMinOptions.go
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// Code generated by the FlatBuffers compiler. DO NOT EDIT.
package tflite
import (
flatbuffers "github.com/google/flatbuffers/go"
)
type ArgMinOptions struct {
_tab flatbuffers.Table
}
func GetRootAsArgMinOptions(buf []byte, offset flatbuffers.UOffsetT) *ArgMinOptions {
n := flatbuffers.GetUOffsetT(buf[offset:])
x := &ArgMinOptions{}
x.Init(buf, n+offset)
return x
}
func GetSizePrefixedRootAsArgMinOptions(buf []byte, offset flatbuffers.UOffsetT) *ArgMinOptions {
n := flatbuffers.GetUOffsetT(buf[offset+flatbuffers.SizeUint32:])
x := &ArgMinOptions{}
x.Init(buf, n+offset+flatbuffers.SizeUint32)
return x
}
func (rcv *ArgMinOptions) Init(buf []byte, i flatbuffers.UOffsetT) {
rcv._tab.Bytes = buf
rcv._tab.Pos = i
}
func (rcv *ArgMinOptions) Table() flatbuffers.Table {
return rcv._tab
}
func (rcv *ArgMinOptions) OutputType() TensorType {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
return TensorType(rcv._tab.GetInt8(o + rcv._tab.Pos))
}
return 0
}
func (rcv *ArgMinOptions) MutateOutputType(n TensorType) bool {
return rcv._tab.MutateInt8Slot(4, int8(n))
}
func ArgMinOptionsStart(builder *flatbuffers.Builder) {
builder.StartObject(1)
}
func ArgMinOptionsAddOutputType(builder *flatbuffers.Builder, outputType TensorType) {
builder.PrependInt8Slot(0, int8(outputType), 0)
}
func ArgMinOptionsEnd(builder *flatbuffers.Builder) flatbuffers.UOffsetT {
return builder.EndObject()
}