def _elementwise_inverse(self, z, elementwise_params):
assert elementwise_params.shape[-1] == self._output_dim_multiplier()
unnormalized_widths = elementwise_params[..., :self.num_bins]
unnormalized_heights = elementwise_params[..., self.num_bins:2*self.num_bins]
unnormalized_derivatives = elementwise_params[..., 2*self.num_bins:]
x, _ = splines.rational_quadratic_spline(z,
unnormalized_widths=unnormalized_widths,
unnormalized_heights=unnormalized_heights,
unnormalized_derivatives=unnormalized_derivatives,
inverse=True)
return x
def _elementwise_forward(self, x, elementwise_params):
assert elementwise_params.shape[-1] == self._output_dim_multiplier()
unnormalized_widths = elementwise_params[..., :self.num_bins]
unnormalized_heights = elementwise_params[..., self.num_bins:2*self.num_bins]
unnormalized_derivatives = elementwise_params[..., 2*self.num_bins:]
z, ldj_elementwise = splines.rational_quadratic_spline(x,
unnormalized_widths=unnormalized_widths,
unnormalized_heights=unnormalized_heights,
unnormalized_derivatives=unnormalized_derivatives,
inverse=False)
ldj = sum_except_batch(ldj_elementwise)
return z, ldj