DecodePaddedRaw

public final class DecodePaddedRaw

Reinterpret the bytes of a string as a vector of numbers.

Nested Classes

class DecodePaddedRaw.Options Optional attributes for DecodePaddedRaw  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> DecodePaddedRaw<T>
create(Scope scope, Operand<TString> inputBytes, Operand<TInt32> fixedLength, Class<T> outType, Options... options)
Factory method to create a class wrapping a new DecodePaddedRaw operation.
static DecodePaddedRaw.Options
littleEndian(Boolean littleEndian)
Output<T>
output()
A Tensor with one more dimension than the input `bytes`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "DecodePaddedRaw"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static DecodePaddedRaw<T> create (Scope scope, Operand<TString> inputBytes, Operand<TInt32> fixedLength, Class<T> outType, Options... options)

Factory method to create a class wrapping a new DecodePaddedRaw operation.

Parameters
scope current scope
inputBytes Tensor of string to be decoded.
fixedLength Length in bytes for each element of the decoded output. Must be a multiple of the size of the output type.
options carries optional attributes values
Returns
  • a new instance of DecodePaddedRaw

public static DecodePaddedRaw.Options littleEndian (Boolean littleEndian)

Parameters
littleEndian Whether the input `input_bytes` is in little-endian order. Ignored for `out_type` values that are stored in a single byte, like `uint8`

public Output<T> output ()

A Tensor with one more dimension than the input `bytes`. The added dimension will have size equal to the length of the elements of `bytes` divided by the number of bytes to represent `out_type`.