125 lines
4.3 KiB
Python
125 lines
4.3 KiB
Python
from typing import Tuple
|
|
|
|
import jax, jax.numpy as jnp
|
|
|
|
from utils import Act, Agg, act_func, agg_func, mutate_int, mutate_float
|
|
from . import BaseNodeGene
|
|
|
|
|
|
class DefaultNodeGene(BaseNodeGene):
|
|
"Default node gene, with the same behavior as in NEAT-python."
|
|
|
|
custom_attrs = ["bias", "response", "aggregation", "activation"]
|
|
|
|
def __init__(
|
|
self,
|
|
bias_init_mean: float = 0.0,
|
|
bias_init_std: float = 1.0,
|
|
bias_mutate_power: float = 0.5,
|
|
bias_mutate_rate: float = 0.7,
|
|
bias_replace_rate: float = 0.1,
|
|
response_init_mean: float = 1.0,
|
|
response_init_std: float = 0.0,
|
|
response_mutate_power: float = 0.5,
|
|
response_mutate_rate: float = 0.7,
|
|
response_replace_rate: float = 0.1,
|
|
aggregation_default: callable = Agg.sum,
|
|
aggregation_options: Tuple = (Agg.sum,),
|
|
aggregation_replace_rate: float = 0.1,
|
|
activation_default: callable = Act.sigmoid,
|
|
activation_options: Tuple = (Act.sigmoid,),
|
|
activation_replace_rate: float = 0.1,
|
|
):
|
|
super().__init__()
|
|
self.bias_init_mean = bias_init_mean
|
|
self.bias_init_std = bias_init_std
|
|
self.bias_mutate_power = bias_mutate_power
|
|
self.bias_mutate_rate = bias_mutate_rate
|
|
self.bias_replace_rate = bias_replace_rate
|
|
|
|
self.response_init_mean = response_init_mean
|
|
self.response_init_std = response_init_std
|
|
self.response_mutate_power = response_mutate_power
|
|
self.response_mutate_rate = response_mutate_rate
|
|
self.response_replace_rate = response_replace_rate
|
|
|
|
self.aggregation_default = aggregation_options.index(aggregation_default)
|
|
self.aggregation_options = aggregation_options
|
|
self.aggregation_indices = jnp.arange(len(aggregation_options))
|
|
self.aggregation_replace_rate = aggregation_replace_rate
|
|
|
|
self.activation_default = activation_options.index(activation_default)
|
|
self.activation_options = activation_options
|
|
self.activation_indices = jnp.arange(len(activation_options))
|
|
self.activation_replace_rate = activation_replace_rate
|
|
|
|
def new_identity_attrs(self, state):
|
|
return jnp.array(
|
|
[0, 1, self.aggregation_default, -1]
|
|
) # activation=-1 means Act.identity
|
|
|
|
def new_random_attrs(self, state, randkey):
|
|
k1, k2, k3, k4 = jax.random.split(randkey, num=4)
|
|
bias = jax.random.normal(k1, ()) * self.bias_init_std + self.bias_init_mean
|
|
res = (
|
|
jax.random.normal(k2, ()) * self.response_init_std + self.response_init_mean
|
|
)
|
|
agg = jax.random.choice(k3, self.aggregation_indices)
|
|
act = jax.random.choice(k4, self.activation_indices)
|
|
|
|
return jnp.array([bias, res, agg, act])
|
|
|
|
def mutate(self, state, randkey, attrs):
|
|
k1, k2, k3, k4 = jax.random.split(randkey, num=4)
|
|
bias, res, agg, act = attrs
|
|
bias = mutate_float(
|
|
k1,
|
|
bias,
|
|
self.bias_init_mean,
|
|
self.bias_init_std,
|
|
self.bias_mutate_power,
|
|
self.bias_mutate_rate,
|
|
self.bias_replace_rate,
|
|
)
|
|
|
|
res = mutate_float(
|
|
k2,
|
|
res,
|
|
self.response_init_mean,
|
|
self.response_init_std,
|
|
self.response_mutate_power,
|
|
self.response_mutate_rate,
|
|
self.response_replace_rate,
|
|
)
|
|
|
|
agg = mutate_int(
|
|
k4, agg, self.aggregation_indices, self.aggregation_replace_rate
|
|
)
|
|
|
|
act = mutate_int(k3, act, self.activation_indices, self.activation_replace_rate)
|
|
|
|
return jnp.array([bias, res, agg, act])
|
|
|
|
def distance(self, state, attrs1, attrs2):
|
|
bias1, res1, agg1, act1 = attrs1
|
|
bias2, res2, agg2, act2 = attrs2
|
|
return (
|
|
jnp.abs(bias1 - bias2) # bias
|
|
+ jnp.abs(res1 - res2) # response
|
|
+ (agg1 != agg2) # aggregation
|
|
+ (act1 != act2) # activation
|
|
)
|
|
|
|
def forward(self, state, attrs, inputs, is_output_node=False):
|
|
bias, res, agg, act = attrs
|
|
|
|
z = agg_func(agg, inputs, self.aggregation_options)
|
|
z = bias + res * z
|
|
|
|
# the last output node should not be activated
|
|
z = jax.lax.cond(
|
|
is_output_node, lambda: z, lambda: act_func(act, z, self.activation_options)
|
|
)
|
|
|
|
return z
|