tony/tensorneat-mend
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All function with state will update the state and return it.

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Remove randkey args in functions with state, since it can attach the randkey by states.
This commit is contained in:
wls2002
2024-05-25 20:45:57 +08:00
parent 5626fddf41
commit 79d53ea7af
12 changed files with 84 additions and 70 deletions
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16
tensorneat/algorithm/neat/gene/conn/default.py
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@@ -1,4 +1,5 @@
import jax.numpy as jnp
import jax.random
from utils import mutate_float
from . import BaseConnGene
@@ -24,14 +25,15 @@ class DefaultConnGene(BaseConnGene):
self.weight_mutate_rate = weight_mutate_rate
self.weight_replace_rate = weight_replace_rate
def new_attrs(self, state, key):
return jnp.array([self.weight_init_mean])
def new_attrs(self, state):
return state, jnp.array([self.weight_init_mean])
def mutate(self, state, key, conn):
def mutate(self, state, conn):
randkey_, randkey = jax.random.split(state.randkey, 2)
input_index = conn[0]
output_index = conn[1]
enabled = conn[2]
weight = mutate_float(key,
weight = mutate_float(randkey_,
conn[3],
self.weight_init_mean,
self.weight_init_std,
@@ -40,11 +42,11 @@ class DefaultConnGene(BaseConnGene):
self.weight_replace_rate
)
return jnp.array([input_index, output_index, enabled, weight])
return state.update(randkey=randkey), jnp.array([input_index, output_index, enabled, weight])
def distance(self, state, attrs1, attrs2):
return (attrs1[2] != attrs2[2]) + jnp.abs(attrs1[3] - attrs2[3]) # enable + weight
return state, (attrs1[2] != attrs2[2]) + jnp.abs(attrs1[3] - attrs2[3]) # enable + weight
def forward(self, state, attrs, inputs):
weight = attrs[0]
return inputs * weight
return state, inputs * weight