Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

SobolSample

public final class SobolSample

Generates points from the Sobol sequence.

Creates a Sobol sequence with `num_results` samples. Each sample has dimension `dim`. Skips the first `skip` samples.

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of a tensor.
static <T extends Number> SobolSample <T>
create ( Scope scope, Operand <Integer> dim, Operand <Integer> numResults, Operand <Integer> skip, Class<T> dtype)
Factory method to create a class wrapping a new SobolSample operation.
static SobolSample <Float>
create ( Scope scope, Operand <Integer> dim, Operand <Integer> numResults, Operand <Integer> skip)
Factory method to create a class wrapping a new SobolSample operation using default output types.
Output <T>
samples ()
`Tensor` of samples from Sobol sequence with `shape` [num_results, dim].

Inherited Methods

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of a 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 SobolSample <T> create ( Scope scope, Operand <Integer> dim, Operand <Integer> numResults, Operand <Integer> skip, Class<T> dtype)

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

Parameters
scope current scope
dim Positive scalar `Tensor` representing each sample's dimension.
numResults Positive scalar `Tensor` of dtype int32. The number of Sobol points to return in the output.
skip Positive scalar `Tensor` of dtype int32. The number of initial points of the Sobol sequence to skip.
dtype The type of the sample. One of: `float32` or `float64`.
Returns
  • a new instance of SobolSample

public static SobolSample <Float> create ( Scope scope, Operand <Integer> dim, Operand <Integer> numResults, Operand <Integer> skip)

Factory method to create a class wrapping a new SobolSample operation using default output types.

Parameters
scope current scope
dim Positive scalar `Tensor` representing each sample's dimension.
numResults Positive scalar `Tensor` of dtype int32. The number of Sobol points to return in the output.
skip Positive scalar `Tensor` of dtype int32. The number of initial points of the Sobol sequence to skip.
Returns
  • a new instance of SobolSample

public Output <T> samples ()

`Tensor` of samples from Sobol sequence with `shape` [num_results, dim].