Files
tensorneat-mend/tensorneat/algorithm/neat/gene/base.py

46 lines
1.2 KiB
Python

import jax, jax.numpy as jnp
from utils import State
class BaseGene:
"Base class for node genes or connection genes."
fixed_attrs = []
custom_attrs = []
def __init__(self):
pass
def setup(self, state=State()):
return state
def new_identity_attrs(self, state):
# the attrs which do identity transformation, used in mutate add node
raise NotImplementedError
def new_random_attrs(self, state, randkey):
# random attributes of the gene. used in initialization.
raise NotImplementedError
def mutate(self, state, randkey, attrs):
raise NotImplementedError
def crossover(self, state, randkey, attrs1, attrs2):
return jnp.where(
jax.random.normal(randkey, attrs1.shape) > 0,
attrs1,
attrs2,
)
def distance(self, state, attrs1, attrs2):
raise NotImplementedError
def forward(self, state, attrs, inputs):
raise NotImplementedError
def update_by_batch(self, state, attrs, batch_inputs):
raise NotImplementedError
@property
def length(self):
return len(self.fixed_attrs) + len(self.custom_attrs)