tfb_scale_matvec_tri_l: Compute Y = g(X; scale) = scale @ X.
In tfprobability: Interface to 'TensorFlow Probability'

tfb_scale_matvec_tri_l

R Documentation

Compute `Y = g(X; scale) = scale @ X`.

Description

The scale term is presumed lower-triangular and non-singular (ie, no zeros on the diagonal), which permits efficient determinant calculation (linear in matrix dimension, instead of cubic).

Usage

tfb_scale_matvec_tri_l(
  scale_tril,
  adjoint = FALSE,
  validate_args = FALSE,
  name = "scale_matvec_tril",
  dtype = NULL
)

Arguments

`scale_tril`	Floating-point `Tensor` representing the lower triangular matrix. `scale_tril` has shape `[N1, N2, ... k, k]`, which represents a k x k lower triangular matrix. When `NULL` no `scale_tril` term is added to `scale`. The upper triangular elements above the diagonal are ignored.
`adjoint`	`logical` indicating whether to use the `scale` matrix as specified or its adjoint. Note that lower-triangularity is taken into account first: the region above the diagonal of `scale_tril` is treated as zero (irrespective of the `adjoint` setting). A lower-triangular input with `adjoint=TRUE` will behave like an upper triangular transform. Default value: `FALSE`.
`validate_args`	Logical, default FALSE. Whether to validate input with asserts. If validate_args is FALSE, and the inputs are invalid, correct behavior is not guaranteed.
`name`	name prefixed to Ops created by this class.
`dtype`	`tf$DType` to prefer when converting args to `Tensor`s. Else, we fall back to a common dtype inferred from the args, finally falling back to float32.

Value

a bijector instance.

Other bijectors: tfb_absolute_value(), tfb_affine_linear_operator(), tfb_affine_scalar(), tfb_affine(), tfb_ascending(), tfb_batch_normalization(), tfb_blockwise(), 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_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()