DecodeRaw

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public final class DecodeRaw

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

Nested Classes

class DecodeRaw.Options Optional attributes for DecodeRaw  

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 TType> DecodeRaw<T>
create(Scope scope, Operand<TString> bytes, Class<T> outType, Options... options)
Factory method to create a class wrapping a new DecodeRaw operation.
static DecodeRaw.Options
littleEndian(Boolean littleEndian)
Output<T>
output()
A Tensor with one more dimension than the input `bytes`.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "DecodeRaw"

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 DecodeRaw<T> create (Scope scope, Operand<TString> bytes, Class<T> outType, Options... options)

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

Parameters
scope current scope
bytes All the elements must have the same length.
options carries optional attributes values
Returns
  • a new instance of DecodeRaw

public static DecodeRaw.Options littleEndian (Boolean littleEndian)

Parameters
littleEndian Whether the input `bytes` are 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`.