tfb_blockwise: Bijector which applies a list of bijectors to blocks of a...

In tfprobability: Interface to 'TensorFlow Probability'

Bijector which applies a list of bijectors to blocks of a Tensor

Description

More specifically, given [F_0, F_1, ... F_n] which are scalar or vector bijectors this bijector creates a transformation which operates on the vector [x_0, ... x_n] with the transformation [F_0(x_0), F_1(x_1) ..., F_n(x_n)] where x_0, ..., x_n are blocks (partitions) of the vector.

Usage

tfb_blockwise(
  bijectors,
  block_sizes = NULL,
  validate_args = FALSE,
  name = NULL
)

Arguments

bijectors	A non-empty list of bijectors.
block_sizes	A 1-D integer Tensor with each element signifying the length of the block of the input vector to pass to the corresponding bijector. The length of block_sizes must be be equal to the length of bijectors. If left as NULL, a vector of 1's is used.
validate_args	Logical indicating whether arguments should be checked for correctness.
name	String, name given to ops managed by this object. Default: E.g., tfb_blockwise(list(tfb_exp(), tfb_softplus()))$name == 'blockwise_of_exp_and_softplus'.

Value

a bijector instance.

See Also

For usage examples see tfb_forward(), tfb_inverse(), tfb_inverse_log_det_jacobian().

Other bijectors: tfb_absolute_value(), tfb_affine_linear_operator(), tfb_affine_scalar(), tfb_affine(), tfb_ascending(), tfb_batch_normalization(), tfb_chain(), tfb_cholesky_outer_product(), tfb_cholesky_to_inv_cholesky(), tfb_correlation_cholesky(), tfb_cumsum(), tfb_discrete_cosine_transform(), tfb_expm1(), tfb_exp(), tfb_ffjord(), tfb_fill_scale_tri_l(), tfb_fill_triangular(), tfb_glow(), tfb_gompertz_cdf(), tfb_gumbel_cdf(), tfb_gumbel(), tfb_identity(), tfb_inline(), tfb_invert(), tfb_iterated_sigmoid_centered(), tfb_kumaraswamy_cdf(), tfb_kumaraswamy(), tfb_lambert_w_tail(), tfb_masked_autoregressive_default_template(), tfb_masked_autoregressive_flow(), tfb_masked_dense(), tfb_matrix_inverse_tri_l(), tfb_matvec_lu(), tfb_normal_cdf(), tfb_ordered(), tfb_pad(), tfb_permute(), tfb_power_transform(), tfb_rational_quadratic_spline(), tfb_rayleigh_cdf(), tfb_real_nvp_default_template(), tfb_real_nvp(), tfb_reciprocal(), tfb_reshape(), tfb_scale_matvec_diag(), tfb_scale_matvec_linear_operator(), tfb_scale_matvec_lu(), tfb_scale_matvec_tri_l(), tfb_scale_tri_l(), tfb_scale(), tfb_shifted_gompertz_cdf(), tfb_shift(), tfb_sigmoid(), tfb_sinh_arcsinh(), tfb_sinh(), tfb_softmax_centered(), tfb_softplus(), tfb_softsign(), tfb_split(), tfb_square(), tfb_tanh(), tfb_transform_diagonal(), tfb_transpose(), tfb_weibull_cdf(), tfb_weibull()

tfprobability documentation built on Sept. 1, 2022, 5:07 p.m.