Source code for netket.models.full_space

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#    http://www.apache.org/licenses/LICENSE-2.0

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import flax.linen as nn
import jax.numpy as jnp

from netket.hilbert import DiscreteHilbert
from netket.nn import states_to_numbers
from netket.utils.types import DType, Array, NNInitFunc


[docs] class LogStateVector(nn.Module): r""" _Exact_ ansatz storing the logarithm of the full, exponentially large wavefunction coefficients. As with other models, coefficients do not need to be normalised. This ansatz can only be used with Hilbert spaces which are small enough to be indexable. By default it initialises as a uniform state. """ hilbert: DiscreteHilbert """The Hilbert space.""" param_dtype: DType = jnp.complex128 """The dtype of the weights.""" logstate_init: NNInitFunc = nn.initializers.ones """Initializer for the weights.""" def setup(self): if not self.hilbert.is_indexable: raise ValueError( "StateVector can only be used with indexable hilbert spaces." ) self.logstate = self.param( "logstate", self.logstate_init, (self.hilbert.n_states,), self.param_dtype )
[docs] def __call__(self, x_in: Array): return self.logstate[states_to_numbers(self.hilbert, x_in)]