Files
tensorneat-mend/tensorneat/algorithm/neat/gene/conn/base.py
wls2002 dfc8f9198e add repr for genome and gene;
add ipynb test for testing whether add node or add conn will not change the output for the network.
2024-06-09 22:32:29 +08:00

34 lines
1.0 KiB
Python

import jax
from .. import BaseGene
class BaseConnGene(BaseGene):
"Base class for connection genes."
fixed_attrs = ["input_index", "output_index"]
def __init__(self):
super().__init__()
def new_zero_attrs(self, state):
# the attrs which make the least influence on the network, used in mutate add conn
raise NotImplementedError
def forward(self, state, attrs, inputs):
raise NotImplementedError
def update_by_batch(self, state, attrs, batch_inputs):
# default: do not update attrs, but to calculate batch_res
return (
jax.vmap(self.forward, in_axes=(None, None, 0))(state, attrs, batch_inputs),
attrs,
)
def repr(self, state, conn, precision=2, idx_width=3, func_width=8):
in_idx, out_idx = conn[:2]
in_idx = int(in_idx)
out_idx = int(out_idx)
return "{}(in: {:<{idx_width}}, out: {:<{idx_width}})".format(
self.__class__.__name__, in_idx, out_idx, idx_width=idx_width
)