tfb_inline: Bijector constructed from custom functions

In tfprobability: Interface to 'TensorFlow Probability'

Bijector constructed from custom functions

Description

Bijector constructed from custom functions

Usage

tfb_inline(
  forward_fn = NULL,
  inverse_fn = NULL,
  inverse_log_det_jacobian_fn = NULL,
  forward_log_det_jacobian_fn = NULL,
  forward_event_shape_fn = NULL,
  forward_event_shape_tensor_fn = NULL,
  inverse_event_shape_fn = NULL,
  inverse_event_shape_tensor_fn = NULL,
  is_constant_jacobian = NULL,
  validate_args = FALSE,
  forward_min_event_ndims = NULL,
  inverse_min_event_ndims = NULL,
  name = "inline"
)

Arguments

forward_fn	Function implementing the forward transformation.
inverse_fn	Function implementing the inverse transformation.
inverse_log_det_jacobian_fn	Function implementing the log_det_jacobian of the forward transformation.
forward_log_det_jacobian_fn	Function implementing the log_det_jacobian of the inverse transformation.
forward_event_shape_fn	Function implementing non-identical static event shape changes. Default: shape is assumed unchanged.
forward_event_shape_tensor_fn	Function implementing non-identical event shape changes. Default: shape is assumed unchanged.
inverse_event_shape_fn	Function implementing non-identical static event shape changes. Default: shape is assumed unchanged.
inverse_event_shape_tensor_fn	Function implementing non-identical event shape changes. Default: shape is assumed unchanged.
is_constant_jacobian	Logical indicating that the Jacobian is constant for all input arguments.
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.
forward_min_event_ndims	Integer indicating the minimal dimensionality this bijector acts on.
inverse_min_event_ndims	Integer indicating the minimal dimensionality this bijector acts on.
name	name prefixed to Ops created by this class.

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_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_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.