Returns the result of the forward evaluation of the log determinant of the Jacobian

Returns the result of the forward evaluation of the log determinant of the Jacobian

tfb_forward_log_det_jacobian(
  bijector,
  x,
  event_ndims,
  name = "forward_log_det_jacobian"
)

Arguments

bijector	The bijector to apply
x	Tensor. The input to the "forward" Jacobian determinant evaluation.
event_ndims	Number of dimensions in the probabilistic events being transformed. Must be greater than or equal to bijector$forward_min_event_ndims. The result is summed over the final dimensions to produce a scalar Jacobian determinant for each event, i.e. it has shape x$shape$ndims - event_ndims dimensions.
name	name of the operation

Value

a tensor

See also

Other bijector_methods: tfb_forward(), tfb_inverse_log_det_jacobian(), tfb_inverse()

Examples

# \donttest{
  b <- tfb_affine_scalar(shift = 1, scale = 2)
  x <- 10
  b %>% tfb_forward_log_det_jacobian(x, event_ndims = 0)
#> tf.Tensor(0.6931472, shape=(), dtype=float32)
# }