TBfloat16

public interface TBfloat16

Brain 16-bit float tensor type.

This type differs from TFloat16 as it truncates the mantissa of a 32-bit float and preserve all exponent bits for faster conversion, while the latter shrink the exponent and have a longer mantissa for more precision.

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.

Note that some CPUs support the bfloat16 format natively, which can result in faster computation compared to TFloat16 when GPUs are not used.

Public Methods

abstract static TBfloat16
scalarOf (float value)
Allocates a new tensor for storing a single float value.
abstract static TBfloat16
tensorOf ( Shape shape, Consumer< TBfloat16 > dataInit)
Allocates a new tensor of the given shape and initialize its data.
abstract static TBfloat16
tensorOf ( Shape shape)
Allocates a new tensor of the given shape.
abstract static TBfloat16
tensorOf ( Shape shape, FloatDataBuffer data)
Allocates a new tensor of the given shape, initialized with the provided data.
abstract static TBfloat16
tensorOf ( NdArray <Float> src)
Allocates a new tensor which is a copy of a given array of floats.
abstract static TBfloat16
vectorOf (float... values)
Allocates a new tensor for storing a vector of floats.

Inherited Methods

Public Methods

public static abstract TBfloat16 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 TBfloat16 tensorOf ( Shape shape, Consumer< TBfloat16 > 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 TBfloat16 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 TBfloat16 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 TBfloat16 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 TBfloat16 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