Generates points from the Sobol sequence.
tf.math.sobol_sample(
dim, num_results, skip=0, dtype=tf.dtypes.float32, name=None
)
Creates a Sobol sequence with num_results samples. Each sample has dimension
dim. Skips the first skip samples.
Args |
|---|
dim
|
Positive scalar Tensor representing each sample's dimension.
|
num_results
|
Positive scalar Tensor of dtype int32. The number of Sobol
points to return in the output.
|
skip
|
(Optional) Positive scalar Tensor of dtype int32. The number of
initial points of the Sobol sequence to skip. Default value is 0.
|
dtype
|
(Optional) The tf.Dtype of the sample. One of: tf.float32 or
tf.float64. Defaults to tf.float32.
|
name
|
(Optional) Python str name prefixed to ops created by this function.
|
Returns |
|---|
Tensor of samples from Sobol sequence with shape [num_results, dim].
|
View source on GitHub