206 lines
7.9 KiB
Python
206 lines
7.9 KiB
Python
from typing import Dict, Tuple, Type
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import jax
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from jax import Array, numpy as jnp, vmap
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from algorithm import State
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from .basic import add_node, add_connection, delete_node_by_idx, delete_connection_by_idx
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from .graph import check_cycles
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from algorithm.utils import fetch_random, fetch_first, I_INT, unflatten_connections
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from ..gene import BaseGene
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def create_mutate(config: Dict, gene_type: Type[BaseGene]):
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"""
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Create function to mutate a single genome
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"""
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def mutate_structure(state: State, randkey, nodes, conns, new_node_key):
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def mutate_add_node(key_, nodes_, conns_):
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i_key, o_key, idx = choice_connection_key(key_, nodes_, conns_)
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def nothing():
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return nodes_, conns_
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def successful_add_node():
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# disable the connection
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aux_nodes, aux_conns = nodes_, conns_
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# set enable to false
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aux_conns = aux_conns.at[idx, 2].set(False)
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# add a new node
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aux_nodes, aux_conns = add_node(aux_nodes, aux_conns, new_node_key, gene_type.new_node_attrs(state))
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# add two new connections
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aux_nodes, aux_conns = add_connection(aux_nodes, aux_conns, i_key, new_node_key, True,
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gene_type.new_conn_attrs(state))
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aux_nodes, aux_conns = add_connection(aux_nodes, aux_conns, new_node_key, o_key, True,
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gene_type.new_conn_attrs(state))
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return aux_nodes, aux_conns
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# if from_idx == I_INT, that means no connection exist, do nothing
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new_nodes, new_conns = jax.lax.cond(idx == I_INT, nothing, successful_add_node)
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return new_nodes, new_conns
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def mutate_delete_node(key_, nodes_, conns_):
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# TODO: Do we really need to delete a node?
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# randomly choose a node
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key, idx = choice_node_key(key_, nodes_, config['input_idx'], config['output_idx'],
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allow_input_keys=False, allow_output_keys=False)
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def nothing():
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return nodes_, conns_
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def successful_delete_node():
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# delete the node
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aux_nodes, aux_cons = delete_node_by_idx(nodes_, conns_, idx)
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# delete all connections
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aux_cons = jnp.where(((aux_cons[:, 0] == key) | (aux_cons[:, 1] == key))[:, None],
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jnp.nan, aux_cons)
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return aux_nodes, aux_cons
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return jax.lax.cond(idx == I_INT, nothing, successful_delete_node)
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def mutate_add_conn(key_, nodes_, conns_):
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# randomly choose two nodes
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k1_, k2_ = jax.random.split(key_, num=2)
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i_key, from_idx = choice_node_key(k1_, nodes_, config['input_idx'], config['output_idx'],
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allow_input_keys=True, allow_output_keys=True)
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o_key, to_idx = choice_node_key(k2_, nodes_, config['input_idx'], config['output_idx'],
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allow_input_keys=False, allow_output_keys=True)
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con_idx = fetch_first((conns_[:, 0] == i_key) & (conns_[:, 1] == o_key))
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def nothing():
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return nodes_, conns_
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def successful():
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new_nodes, new_cons = add_connection(nodes_, conns_, i_key, o_key, True, gene_type.new_conn_attrs(state))
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return new_nodes, new_cons
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def already_exist():
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new_cons = conns_.at[con_idx, 2].set(True)
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return nodes_, new_cons
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is_already_exist = con_idx != I_INT
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if config['network_type'] == 'feedforward':
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u_cons = unflatten_connections(nodes_, conns_)
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cons_exist = jnp.where(~jnp.isnan(u_cons[0, :, :]), True, False)
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is_cycle = check_cycles(nodes_, cons_exist, from_idx, to_idx)
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choice = jnp.where(is_already_exist, 0, jnp.where(is_cycle, 1, 2))
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return jax.lax.switch(choice, [already_exist, nothing, successful])
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elif config['network_type'] == 'recurrent':
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return jax.lax.cond(is_already_exist, already_exist, successful)
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else:
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raise ValueError(f"Invalid network type: {config['network_type']}")
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def mutate_delete_conn(key_, nodes_, conns_):
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# randomly choose a connection
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i_key, o_key, idx = choice_connection_key(key_, nodes_, conns_)
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def nothing():
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return nodes_, conns_
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def successfully_delete_connection():
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return delete_connection_by_idx(nodes_, conns_, idx)
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return jax.lax.cond(idx == I_INT, nothing, successfully_delete_connection)
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k1, k2, k3, k4 = jax.random.split(randkey, num=4)
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r1, r2, r3, r4 = jax.random.uniform(k1, shape=(4,))
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def no(k, n, c):
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return n, c
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nodes, conns = jax.lax.cond(r1 < config['node_add_prob'], mutate_add_node, no, k1, nodes, conns)
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nodes, conns = jax.lax.cond(r2 < config['node_delete_prob'], mutate_delete_node, no, k2, nodes, conns)
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nodes, conns = jax.lax.cond(r3 < config['conn_add_prob'], mutate_add_conn, no, k3, nodes, conns)
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nodes, conns = jax.lax.cond(r4 < config['conn_delete_prob'], mutate_delete_conn, no, k4, nodes, conns)
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return nodes, conns
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def mutate_values(state: State, randkey, nodes, conns):
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k1, k2 = jax.random.split(randkey, num=2)
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nodes_keys = jax.random.split(k1, num=nodes.shape[0])
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conns_keys = jax.random.split(k2, num=conns.shape[0])
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nodes_attrs, conns_attrs = nodes[:, 1:], conns[:, 3:]
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new_nodes_attrs = vmap(gene_type.mutate_node, in_axes=(None, 0, 0))(state, nodes_attrs, nodes_keys)
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new_conns_attrs = vmap(gene_type.mutate_conn, in_axes=(None, 0, 0))(state, conns_attrs, conns_keys)
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# nan nodes not changed
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new_nodes_attrs = jnp.where(jnp.isnan(nodes_attrs), jnp.nan, new_nodes_attrs)
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new_conns_attrs = jnp.where(jnp.isnan(conns_attrs), jnp.nan, new_conns_attrs)
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new_nodes = nodes.at[:, 1:].set(new_nodes_attrs)
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new_conns = conns.at[:, 3:].set(new_conns_attrs)
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return new_nodes, new_conns
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def mutate(state, randkey, nodes, conns, new_node_key):
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k1, k2 = jax.random.split(randkey)
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nodes, conns = mutate_structure(state, k1, nodes, conns, new_node_key)
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nodes, conns = mutate_values(state, k2, nodes, conns)
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return nodes, conns
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return mutate
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def choice_node_key(rand_key: Array, nodes: Array,
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input_keys: Array, output_keys: Array,
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allow_input_keys: bool = False, allow_output_keys: bool = False) -> Tuple[Array, Array]:
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"""
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Randomly choose a node key from the given nodes. It guarantees that the chosen node not be the input or output node.
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:param rand_key:
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:param nodes:
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:param input_keys:
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:param output_keys:
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:param allow_input_keys:
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:param allow_output_keys:
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:return: return its key and position(idx)
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"""
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node_keys = nodes[:, 0]
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mask = ~jnp.isnan(node_keys)
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if not allow_input_keys:
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mask = jnp.logical_and(mask, ~jnp.isin(node_keys, input_keys))
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if not allow_output_keys:
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mask = jnp.logical_and(mask, ~jnp.isin(node_keys, output_keys))
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idx = fetch_random(rand_key, mask)
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key = jnp.where(idx != I_INT, nodes[idx, 0], jnp.nan)
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return key, idx
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def choice_connection_key(rand_key: Array, nodes: Array, cons: Array) -> Tuple[Array, Array, Array]:
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"""
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Randomly choose a connection key from the given connections.
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:param rand_key:
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:param nodes:
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:param cons:
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:return: i_key, o_key, idx
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"""
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idx = fetch_random(rand_key, ~jnp.isnan(cons[:, 0]))
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i_key = jnp.where(idx != I_INT, cons[idx, 0], jnp.nan)
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o_key = jnp.where(idx != I_INT, cons[idx, 1], jnp.nan)
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return i_key, o_key, idx
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