def to_array(self,
normalize: bool = True,
allgather: bool = True) -> jnp.ndarray:
if self._array is None and normalize:
self._array = nn.to_array(
self.hilbert,
self._apply_fun,
self.variables,
normalize=normalize,
allgather=allgather,
)
if normalize:
arr = self._array
else:
arr = nn.to_array(
self.hilbert,
self._apply_fun,
self.variables,
normalize=normalize,
allgather=allgather,
)
return arr
def _reset(sampler, machine, parameters, state):
pdf = jnp.absolute(
to_array(sampler.hilbert, machine, parameters) ** sampler.machine_pow
)
pdf = pdf / pdf.sum()
return state.replace(pdf=pdf)
def to_array(self, normalize: bool = True) -> jnp.ndarray:
return nn.to_array(self.hilbert,
self._apply_fun,
self.variables,
normalize=normalize)
