def _check_proposal(self, proposal):
"""
Check for validity of the provided proposal distribution.
If the proposal is a `NeuralPosterior`, we check if the default_x is set.
If the proposal is **not** a `NeuralPosterior`, we warn since it is likely that
the user simply passed the prior, but this would still trigger atomic loss.
"""
if proposal is not None:
check_if_proposal_has_default_x(proposal)
if isinstance(proposal, RestrictedPrior):
if proposal._prior is not self._prior:
warn(
"The proposal you passed is a `RestrictedPrior`, but the "
"proposal distribution it uses is not the prior (it can be "
"accessed via `RestrictedPrior._prior`). We do not "
"recommend to mix the `RestrictedPrior` with multi-round "
"SNPE.")
elif (not isinstance(proposal, DirectPosterior)
and proposal is not self._prior):
warn(
"The proposal you passed is neither the prior nor a "
"`NeuralPosterior` object. If you are an expert user and did so "
"for research purposes, this is fine. If not, you might be doing "
"something wrong: feel free to create an issue on Github.")
elif self._round > 0:
raise ValueError(
"A proposal was passed but no prior was passed at initialisation. When "
"running multi-round inference, a prior needs to be specified upon "
"initialisation. Potential fix: setting the `._prior` attribute or "
"re-initialisation. If the samples passed to `append_simulations()` "
"were sampled from the prior, single-round inference can be performed "
"with `append_simulations(..., proprosal=None)`.")
def _check_proposal(self, proposal):
"""
Check for validity of the provided proposal distribution.
If the proposal is a `NeuralPosterior`, we check if the default_x is set.
If the proposal is **not** a `NeuralPosterior`, we warn since it is likely that
the user simply passed the prior, but this would still trigger atomic loss.
"""
if proposal is not None:
check_if_proposal_has_default_x(proposal)
if isinstance(proposal, RestrictedPrior):
if proposal._prior is not self._prior:
warn(
"The proposal you passed is a `RestrictedPrior`, but the "
"proposal distribution it uses is not the prior (it can be "
"accessed via `RestrictedPrior._prior`). We do not "
"recommend to mix the `RestrictedPrior` with multi-round "
"SNPE."
)
elif (
not isinstance(proposal, DirectPosterior)
and proposal is not self._prior
):
warn(
"The proposal you passed is neither the prior nor a "
"`NeuralPosterior` object. If you are an expert user and did so "
"for research purposes, this is fine. If not, you might be doing "
"something wrong: feel free to create an issue on Github."
)
elif self._round > 0:
raise ValueError(
"You did not specify a proposal (i.e. `proposal=None`). "
"However, previously, you had already specified a proposal. "
"This scenario is currently not allowed."
)