TFloat16

public interface TFloat16

IEEE-754 half-precision 16-bit float tensor type.

Since there is no floating-point type that fits in 16 bits in Java, a conversion (with potentially a precision loss) is required for each 32 bits value written or read on a tensor of this type from the JVM. Therefore, if a lot of I/O operations are to be expected on a tensor, performances will be improved by working with TFloat32 or TFloat64 data types whenever possible.

Also, TFloat16 tensors normally perform better if they are located in GPU memory since most CPUs do not support this format natively. For CPU computation on 16-bit floats, the TBfloat16 tensor type might be a better option.

Public Methods

abstract static TFloat16
scalarOf (float value)
Allocates a new tensor for storing a single float value.
abstract static TFloat16
tensorOf ( Shape shape)
Allocates a new tensor of the given shape.
abstract static TFloat16
tensorOf ( Shape shape, FloatDataBuffer data)
Allocates a new tensor of the given shape, initialized with the provided data.
abstract static TFloat16
tensorOf ( Shape shape, Consumer< TFloat16 > dataInit)
Allocates a new tensor of the given shape and initialize its data.
abstract static TFloat16
tensorOf ( NdArray <Float> src)
Allocates a new tensor which is a copy of a given array of floats.
abstract static TFloat16
vectorOf (float... values)
Allocates a new tensor for storing a vector of floats.

Inherited Methods

Public Methods

public static abstract TFloat16 scalarOf (float value)

Allocates a new tensor for storing a single float value.

Parameters
value float to store in the new tensor
Returns
  • the new tensor

public static abstract TFloat16 tensorOf ( Shape shape)

Allocates a new tensor of the given shape.

Parameters
shape shape of the tensor to allocate
Returns
  • the new tensor

public static abstract TFloat16 tensorOf ( Shape shape, FloatDataBuffer data)

Allocates a new tensor of the given shape, initialized with the provided data.

Parameters
shape shape of the tensor to allocate
data buffer of floats to initialize the tensor with
Returns
  • the new tensor

public static abstract TFloat16 tensorOf ( Shape shape, Consumer< TFloat16 > dataInit)

Allocates a new tensor of the given shape and initialize its data.

Parameters
shape shape of the tensor to allocate
dataInit tensor data initializer
Returns
  • the new tensor
Throws
TensorFlowException if the tensor cannot be allocated or initialized

public static abstract TFloat16 tensorOf ( NdArray <Float> src)

Allocates a new tensor which is a copy of a given array of floats.

The tensor will have the same shape as the source array and its data will be copied.

Parameters
src the source array giving the shape and data to the new tensor
Returns
  • the new tensor

public static abstract TFloat16 vectorOf (float... values)

Allocates a new tensor for storing a vector of floats.

Parameters
values floats to store in the new tensor
Returns
  • the new tensor