// NewTensor converts from a Go value to a Tensor. Valid values are scalars,
// slices, and arrays. Every element of a slice must have the same length so
// that the resulting Tensor has a valid shape.
func NewTensor(value interface{}) (*Tensor, error) {
val := reflect.ValueOf(value)
dims, dataType, err := dimsAndDataTypeOf(val.Type())
if err != nil {
return nil, err
}
// TODO(ashankar): Remove the bytes.Buffer and endcode directly into
// C-memory, avoiding the memcpy and cutting down memory usage in half.
shape := make([]int64, dims)
buf := new(bytes.Buffer)
if err := encodeTensor(buf, shape, val); err != nil {
return nil, err
}
var shapePtr *C.int64_t
if len(shape) > 0 {
shapePtr = (*C.int64_t)(unsafe.Pointer(&shape[0]))
}
t := &Tensor{
c: C.TF_AllocateTensor(C.TF_DataType(dataType), shapePtr, C.int(len(shape)), C.size_t(buf.Len())),
shape: shape,
}
runtime.SetFinalizer(t, (*Tensor).finalize)
if buf.Len() > 0 {
slice := buf.Bytes() // https://github.com/golang/go/issues/14210
C.memcpy(C.TF_TensorData(t.c), unsafe.Pointer(&slice[0]), C.size_t(buf.Len()))
}
return t, nil
}
// NewTensor converts from a Go value to a Tensor. Valid values are scalars,
// slices, and arrays. Every element of a slice must have the same length so
// that the resulting Tensor has a valid shape.
func NewTensor(value interface{}) (*Tensor, error) {
val := reflect.ValueOf(value)
shape, dataType, err := shapeAndDataTypeOf(val)
if err != nil {
return nil, err
}
if dataType == String {
// TODO(ashankar): Handle this
return nil, fmt.Errorf("String Tensors are not currently supported")
}
nbytes := byteSizeOf(dataType, shape)
var shapePtr *C.int64_t
if len(shape) > 0 {
shapePtr = (*C.int64_t)(unsafe.Pointer(&shape[0]))
}
t := &Tensor{
c: C.TF_AllocateTensor(C.TF_DataType(dataType), shapePtr, C.int(len(shape)), C.size_t(nbytes)),
shape: shape,
}
runtime.SetFinalizer(t, (*Tensor).finalize)
raw := tensorData(t.c)
buf := bytes.NewBuffer(raw[:0:len(raw)])
if err := encodeTensor(buf, val); err != nil {
return nil, err
}
if uintptr(buf.Len()) != nbytes {
return nil, fmt.Errorf("BUG: Please report at https://github.com/tensorflow/tensorflow/issues with the note: NewTensor incorrectly calculated the size of a tensor with type %v and shape %v as %v bytes instead of %v bytes, version %v", dataType, shape, nbytes, buf.Len(), Version())
}
return t, nil
}
// c converts the Tensor to a *C.TF_Tensor. Callers must take ownership of
// the *C.TF_Tensor, either by passing ownership to the C API or explicitly
// calling C.TF_DeleteTensor() on it.
func (t *Tensor) c() *C.TF_Tensor {
var shapePtr *C.int64_t
if len(t.shape) > 0 {
shapePtr = (*C.int64_t)(unsafe.Pointer(&t.shape[0]))
}
tensor := C.TF_AllocateTensor(C.TF_DataType(t.dt), shapePtr, C.int(len(t.shape)), C.size_t(t.buf.Len()))
if t.buf.Len() > 0 {
slice := t.buf.Bytes() // https://github.com/golang/go/issues/14210
C.memcpy(C.TF_TensorData(tensor), unsafe.Pointer(&slice[0]), C.size_t(t.buf.Len()))
}
return tensor
}
// NewTensor converts from a Go value to a Tensor. Valid values are scalars,
// slices, and arrays. Every element of a slice must have the same length so
// that the resulting Tensor has a valid shape.
func NewTensor(value interface{}) (*Tensor, error) {
val := reflect.ValueOf(value)
shape, dataType, err := shapeAndDataTypeOf(val)
if err != nil {
return nil, err
}
nflattened := numElements(shape)
nbytes := typeOf(dataType, nil).Size() * uintptr(nflattened)
if dataType == String {
// TF_STRING tensors are encoded as an array of 8-byte offsets
// followed by string data. See c_api.h.
nbytes = uintptr(nflattened*8) + byteSizeOfEncodedStrings(value)
}
var shapePtr *C.int64_t
if len(shape) > 0 {
shapePtr = (*C.int64_t)(unsafe.Pointer(&shape[0]))
}
t := &Tensor{
c: C.TF_AllocateTensor(C.TF_DataType(dataType), shapePtr, C.int(len(shape)), C.size_t(nbytes)),
shape: shape,
}
runtime.SetFinalizer(t, (*Tensor).finalize)
raw := tensorData(t.c)
buf := bytes.NewBuffer(raw[:0:len(raw)])
if dataType != String {
if err := encodeTensor(buf, val); err != nil {
return nil, err
}
if uintptr(buf.Len()) != nbytes {
return nil, bug("NewTensor incorrectly calculated the size of a tensor with type %v and shape %v as %v bytes instead of %v", dataType, shape, nbytes, buf.Len())
}
} else {
e := stringEncoder{offsets: buf, data: raw[nflattened*8 : len(raw)], status: newStatus()}
if e.encode(reflect.ValueOf(value)); err != nil {
return nil, err
}
if int64(buf.Len()) != nflattened*8 {
return nil, bug("invalid offset encoding for TF_STRING tensor with shape %v (got %v, want %v)", shape, buf.Len(), nflattened*8)
}
}
return t, nil
}
// ReadTensor constructs a Tensor with the provided type and shape from the
// serialized tensor contents in r.
//
// See also WriteContentsTo.
func ReadTensor(dataType DataType, shape []int64, r io.Reader) (*Tensor, error) {
if err := isTensorSerializable(dataType); err != nil {
return nil, err
}
nbytes := typeOf(dataType, nil).Size() * uintptr(numElements(shape))
var shapePtr *C.int64_t
if len(shape) > 0 {
shapePtr = (*C.int64_t)(unsafe.Pointer(&shape[0]))
}
t := &Tensor{
c: C.TF_AllocateTensor(C.TF_DataType(dataType), shapePtr, C.int(len(shape)), C.size_t(nbytes)),
shape: shape,
}
runtime.SetFinalizer(t, (*Tensor).finalize)
raw := tensorData(t.c)
n, err := r.Read(raw)
if err != nil {
return nil, err
}
if uintptr(n) != nbytes {
return nil, fmt.Errorf("expected serialized tensor to be %v bytes, read %v", nbytes, n)
}
return t, nil
}
func setAttr(cdesc *C.TF_OperationDescription, status *status, name string, value interface{}) error {
cAttrName := C.CString(name)
defer C.free(unsafe.Pointer(cAttrName))
switch value := value.(type) {
case string:
cstr := C.CString(value)
C.TF_SetAttrString(cdesc, cAttrName, unsafe.Pointer(cstr), C.size_t(len(value)))
C.free(unsafe.Pointer(cstr))
case []string:
size := len(value)
list := make([]unsafe.Pointer, size)
lens := make([]C.size_t, size)
for i, s := range value {
list[i] = unsafe.Pointer(C.CString(s))
lens[i] = C.size_t(len(s))
}
C.TF_SetAttrStringList(cdesc, cAttrName, &list[0], &lens[0], C.int(size))
for _, s := range list {
C.free(s)
}
case int64:
C.TF_SetAttrInt(cdesc, cAttrName, C.int64_t(value))
case []int64:
size := len(value)
list := make([]C.int64_t, size)
for i, v := range value {
list[i] = C.int64_t(v)
}
C.TF_SetAttrIntList(cdesc, cAttrName, &list[0], C.int(size))
case float32:
C.TF_SetAttrFloat(cdesc, cAttrName, C.float(value))
case []float32:
size := len(value)
list := make([]C.float, size)
for i, v := range value {
list[i] = C.float(v)
}
C.TF_SetAttrFloatList(cdesc, cAttrName, &list[0], C.int(size))
case bool:
v := C.uchar(0)
if value {
v = 1
}
C.TF_SetAttrBool(cdesc, cAttrName, v)
case []bool:
size := len(value)
list := make([]C.uchar, size)
for i, v := range value {
if v {
list[i] = 1
}
}
C.TF_SetAttrBoolList(cdesc, cAttrName, &list[0], C.int(size))
case DataType:
C.TF_SetAttrType(cdesc, cAttrName, C.TF_DataType(value))
case []DataType:
list := (*C.TF_DataType)(&value[0])
C.TF_SetAttrTypeList(cdesc, cAttrName, list, C.int(len(value)))
case *Tensor:
C.TF_SetAttrTensor(cdesc, cAttrName, value.c, status.c)
if err := status.Err(); err != nil {
return fmt.Errorf("bad value for attribute %q: %v", name, err)
}
case []*Tensor:
size := len(value)
list := make([]*C.TF_Tensor, size)
for i, v := range value {
list[i] = v.c
}
C.TF_SetAttrTensorList(cdesc, cAttrName, &list[0], C.int(size), status.c)
if err := status.Err(); err != nil {
return fmt.Errorf("bad value for attribute %q: %v", name, err)
}
case Shape:
ndims, dims := cshape(value)
var dimsp *C.int64_t
if ndims > 0 {
dimsp = &dims[0]
}
C.TF_SetAttrShape(cdesc, cAttrName, dimsp, ndims)
case []Shape:
ndims := make([]C.int, len(value))
dims := make([][]C.int64_t, len(value))
dimsp := make([]*C.int64_t, len(value))
for i, s := range value {
ndims[i], dims[i] = cshape(s)
if ndims[i] > 0 {
dimsp[i] = &dims[i][0]
}
}
C.TF_SetAttrShapeList(cdesc, cAttrName, &dimsp[0], &ndims[0], C.int(len(value)))
default:
return fmt.Errorf("attribute %q has a type (%T) which is not valid for operation attributes", name, value)
}
return nil
}
func (b *opBuilder) SetAttrType(name string, typ DataType) {
attrName := C.CString(name)
C.TF_SetAttrType(b.c, attrName, C.TF_DataType(typ))
C.free(unsafe.Pointer(attrName))
}
func setAttr(cdesc *C.TF_OperationDescription, status *status, name string, value interface{}) error {
cAttrName := C.CString(name)
defer C.free(unsafe.Pointer(cAttrName))
switch value := value.(type) {
case string:
cstr := C.CString(value)
C.TF_SetAttrString(cdesc, cAttrName, unsafe.Pointer(cstr), C.size_t(len(value)))
C.free(unsafe.Pointer(cstr))
case []string:
size := len(value)
list := make([]unsafe.Pointer, size)
lens := make([]C.size_t, size)
for i, s := range value {
list[i] = unsafe.Pointer(C.CString(s))
lens[i] = C.size_t(len(s))
}
C.TF_SetAttrStringList(cdesc, cAttrName, &list[0], &lens[0], C.int(size))
for _, s := range list {
C.free(s)
}
case int64:
C.TF_SetAttrInt(cdesc, cAttrName, C.int64_t(value))
case []int64:
size := len(value)
list := make([]C.int64_t, size)
for i, v := range value {
list[i] = C.int64_t(v)
}
C.TF_SetAttrIntList(cdesc, cAttrName, &list[0], C.int(size))
case float32:
C.TF_SetAttrFloat(cdesc, cAttrName, C.float(value))
case []float32:
size := len(value)
list := make([]C.float, size)
for i, v := range value {
list[i] = C.float(v)
}
C.TF_SetAttrFloatList(cdesc, cAttrName, &list[0], C.int(size))
case bool:
v := C.uchar(0)
if value {
v = 1
}
C.TF_SetAttrBool(cdesc, cAttrName, v)
case []bool:
size := len(value)
list := make([]C.uchar, size)
for i, v := range value {
if v {
list[i] = 1
}
}
C.TF_SetAttrBoolList(cdesc, cAttrName, &list[0], C.int(size))
case DataType:
C.TF_SetAttrType(cdesc, cAttrName, C.TF_DataType(value))
case []DataType:
list := (*C.TF_DataType)(&value[0])
C.TF_SetAttrTypeList(cdesc, cAttrName, list, C.int(len(value)))
case *Tensor:
C.TF_SetAttrTensor(cdesc, cAttrName, value.c, status.c)
if err := status.Err(); err != nil {
return fmt.Errorf("bad value for attribute %q: %v", name, err)
}
case []*Tensor:
size := len(value)
list := make([]*C.TF_Tensor, size)
for i, v := range value {
list[i] = v.c
}
C.TF_SetAttrTensorList(cdesc, cAttrName, &list[0], C.int(size), status.c)
if err := status.Err(); err != nil {
return fmt.Errorf("bad value for attribute %q: %v", name, err)
}
default:
// Shapes can be done, but will require that it be
// distinguishable from []int64. Which is fine, it
// probably makes sense to define a Shape type anyway,
// since that should handle partially known shapes as
// well and hide the special meaning of -1?
return fmt.Errorf("attribute %q has a type (%T) which is not valid for operation attributes", name, value)
}
return nil
}
