Files
tensorneat-mend/tensorneat/genome/gene/conn/base.py
2024-07-10 16:40:03 +08:00

37 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 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
)
def to_dict(self, state, conn):
in_idx, out_idx = conn[:2]
return {
"in": int(in_idx),
"out": int(out_idx),
}
def sympy_func(self, state, conn_dict, inputs):
raise NotImplementedError