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tensor.go
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package ir
import (
"bytes"
"encoding/binary"
"io"
"math"
"github.com/pkg/errors"
"gorgonia.org/tensor"
)
// Tensor returns a Gorgonia compatible tensor
func (tx *TensorProto) Tensor() (tensor.Tensor, error) {
if tx.Segment != nil {
return nil, errors.Wrap(ErrNotYetImplemented, "This tensor is segmented")
}
// Get the data type
if tx.DataType == int32(TensorProto_UNDEFINED) {
return nil, errors.New("This tensor datatype is undefined")
}
dt, err := TensorProto_DataType(tx.DataType).Dtype()
if err != nil {
return nil, err
}
var size = make([]int, len(tx.Dims))
for i := range tx.Dims {
size[i] = int(tx.Dims[i])
}
opts := []tensor.ConsOpt{tensor.WithShape(size...), tensor.Of(dt)}
var consopts []tensor.ConsOpt
switch dt {
case tensor.Bool:
consopts, err = generateConsOptsFromBoolTensor(tx)
case tensor.Float32:
consopts, err = generateConsOptsFromFloat32Tensor(tx)
case tensor.Float64:
consopts, err = generateConsOptsFromFloat64Tensor(tx)
case tensor.Int64:
consopts, err = generateConsOptsFromInt64Tensor(tx)
case tensor.Int32:
consopts, err = generateConsOptsFromInt32Tensor(tx)
default:
err = errors.Wrapf(ErrNotYetImplemented, "Unknown type %v", dt)
}
if err != nil {
return nil, err
}
opts = append(opts, consopts...)
return tensor.New(opts...), nil
}
func generateConsOptsFromBoolTensor(tx *TensorProto) ([]tensor.ConsOpt, error) {
switch {
case tx.Int32Data != nil:
backing := make([]bool, len(tx.Int32Data))
for i := 0; i < len(tx.Int32Data); i++ {
if tx.Int32Data[i] == 1 {
backing[i] = true
}
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
case tx.RawData != nil:
buf := bytes.NewReader(tx.RawData)
element := make([]byte, 8)
var err error
var backing []bool
for {
var n int
n, err = buf.Read(element)
if err != nil || n != 8 {
break
}
if element[7] == 1 {
backing = append(backing, true)
} else {
backing = append(backing, false)
}
}
if err != io.EOF {
return nil, errors.Wrapf(ErrCorruptedData, "%v", err)
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
default:
return nil, errors.New("No data found")
}
}
func generateConsOptsFromFloat32Tensor(tx *TensorProto) ([]tensor.ConsOpt, error) {
switch {
case tx.RawData != nil:
buf := bytes.NewReader(tx.RawData)
element := make([]byte, 4)
var err error
var backing []float32
for {
var n int
n, err = buf.Read(element)
if err != nil || n != 4 {
break
}
uintElement := binary.LittleEndian.Uint32(element)
backing = append(backing, math.Float32frombits(uintElement))
}
if err != io.EOF {
return nil, errors.Wrapf(ErrCorruptedData, "%v", err)
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
case tx.FloatData != nil:
return []tensor.ConsOpt{tensor.WithBacking(tx.FloatData)}, nil
default:
return nil, errors.New("No data found")
}
}
func generateConsOptsFromFloat64Tensor(tx *TensorProto) ([]tensor.ConsOpt, error) {
switch {
case tx.DoubleData != nil:
return []tensor.ConsOpt{tensor.WithBacking(tx.DoubleData)}, nil
case tx.RawData != nil:
buf := bytes.NewReader(tx.RawData)
element := make([]byte, 8)
var err error
var backing []float64
for {
var n int
n, err = buf.Read(element)
if err != nil || n != 8 {
break
}
uintElement := binary.LittleEndian.Uint64(element)
backing = append(backing, math.Float64frombits(uintElement))
}
if err != io.EOF {
return nil, errors.Wrapf(ErrCorruptedData, "%v", err)
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
default:
return nil, errors.New("No data found")
}
}
func generateConsOptsFromInt64Tensor(tx *TensorProto) ([]tensor.ConsOpt, error) {
switch {
case tx.RawData != nil:
buf := bytes.NewReader(tx.RawData)
element := make([]byte, 8)
var err error
var backing []int64
for {
var n int
n, err = buf.Read(element)
if err != nil || n != 8 {
break
}
uintElement := binary.LittleEndian.Uint64(element)
backing = append(backing, int64(uintElement))
}
if err != io.EOF {
return nil, errors.Wrapf(ErrCorruptedData, "%v", err)
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
case tx.Int64Data != nil:
return []tensor.ConsOpt{tensor.WithBacking(tx.Int64Data)}, nil
default:
return nil, errors.New("No data found")
}
}
func generateConsOptsFromInt32Tensor(tx *TensorProto) ([]tensor.ConsOpt, error) {
switch {
case tx.RawData != nil:
buf := bytes.NewReader(tx.RawData)
element := make([]byte, 4)
var err error
var backing []int32
for {
var n int
n, err = buf.Read(element)
if err != nil || n != 4 {
break
}
uintElement := binary.LittleEndian.Uint32(element)
backing = append(backing, int32(uintElement))
}
if err != io.EOF {
return nil, errors.Wrapf(ErrCorruptedData, "%v", err)
}
return []tensor.ConsOpt{tensor.WithBacking(backing)}, nil
case tx.Int32Data != nil:
return []tensor.ConsOpt{tensor.WithBacking(tx.Int32Data)}, nil
default:
return nil, errors.New("No data found")
}
}