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.
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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.
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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
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`. |
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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`.