Source code for netket.models.full_space
# Copyright 2021 The NetKet Authors - All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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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
_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
By default it initialises as a uniform state.
"""The Hilbert space."""
param_dtype: DType = jnp.complex128
"""The dtype of the weights."""
logstate_init: NNInitFunc = nn.initializers.ones
"""Initializer for the weights."""
if not self.hilbert.is_indexable:
"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)]