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modify NEAT package; successfully run xor example

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root
2024-07-11 10:10:16 +08:00
parent 52d5f046d3
commit 4a631f9464
14 changed files with 420 additions and 502 deletions
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42
tensorneat/genome/operations/mutation/default.py
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@@ -33,17 +33,17 @@ class DefaultMutation(BaseMutation):
self.node_add = node_add
self.node_delete = node_delete
def __call__(self, state, randkey, genome, nodes, conns, new_node_key):
def __call__(self, state, randkey, nodes, conns, new_node_key):
k1, k2 = jax.random.split(randkey)
nodes, conns = self.mutate_structure(
state, k1, genome, nodes, conns, new_node_key
state, k1, nodes, conns, new_node_key
)
nodes, conns = self.mutate_values(state, k2, genome, nodes, conns)
nodes, conns = self.mutate_values(state, k2, nodes, conns)
return nodes, conns
def mutate_structure(self, state, randkey, genome, nodes, conns, new_node_key):
def mutate_structure(self, state, randkey, nodes, conns, new_node_key):
def mutate_add_node(key_, nodes_, conns_):
"""
add a node while do not influence the output of the network
@@ -62,7 +62,7 @@ class DefaultMutation(BaseMutation):
# add a new node with identity attrs
new_nodes = add_node(
nodes_, new_node_key, genome.node_gene.new_identity_attrs(state)
nodes_, new_node_key, self.genome.node_gene.new_identity_attrs(state)
)
# add two new connections
@@ -71,7 +71,7 @@ class DefaultMutation(BaseMutation):
new_conns,
i_key,
new_node_key,
genome.conn_gene.new_identity_attrs(state),
self.genome.conn_gene.new_identity_attrs(state),
)
# second is with the origin attrs
new_conns = add_conn(
@@ -97,8 +97,8 @@ class DefaultMutation(BaseMutation):
key, idx = self.choose_node_key(
key_,
nodes_,
genome.input_idx,
genome.output_idx,
self.genome.input_idx,
self.genome.output_idx,
allow_input_keys=False,
allow_output_keys=False,
)
@@ -136,8 +136,8 @@ class DefaultMutation(BaseMutation):
i_key, from_idx = self.choose_node_key(
k1_,
nodes_,
genome.input_idx,
genome.output_idx,
self.genome.input_idx,
self.genome.output_idx,
allow_input_keys=True,
allow_output_keys=True,
)
@@ -146,8 +146,8 @@ class DefaultMutation(BaseMutation):
o_key, to_idx = self.choose_node_key(
k2_,
nodes_,
genome.input_idx,
genome.output_idx,
self.genome.input_idx,
self.genome.output_idx,
allow_input_keys=False,
allow_output_keys=True,
)
@@ -161,10 +161,10 @@ class DefaultMutation(BaseMutation):
def successful():
# add a connection with zero attrs
return nodes_, add_conn(
conns_, i_key, o_key, genome.conn_gene.new_zero_attrs(state)
conns_, i_key, o_key, self.genome.conn_gene.new_zero_attrs(state)
)
if genome.network_type == "feedforward":
if self.genome.network_type == "feedforward":
u_conns = unflatten_conns(nodes_, conns_)
conns_exist = u_conns != I_INF
is_cycle = check_cycles(nodes_, conns_exist, from_idx, to_idx)
@@ -175,7 +175,7 @@ class DefaultMutation(BaseMutation):
successful,
)
elif genome.network_type == "recurrent":
elif self.genome.network_type == "recurrent":
return jax.lax.cond(
is_already_exist | (remain_conn_space < 1),
nothing,
@@ -183,7 +183,7 @@ class DefaultMutation(BaseMutation):
)
else:
raise ValueError(f"Invalid network type: {genome.network_type}")
raise ValueError(f"Invalid network type: {self.genome.network_type}")
def mutate_delete_conn(key_, nodes_, conns_):
# randomly choose a connection
@@ -223,19 +223,19 @@ class DefaultMutation(BaseMutation):
return nodes, conns
def mutate_values(self, state, randkey, genome, nodes, conns):
def mutate_values(self, state, randkey, nodes, conns):
k1, k2 = jax.random.split(randkey)
nodes_randkeys = jax.random.split(k1, num=genome.max_nodes)
conns_randkeys = jax.random.split(k2, num=genome.max_conns)
nodes_randkeys = jax.random.split(k1, num=self.genome.max_nodes)
conns_randkeys = jax.random.split(k2, num=self.genome.max_conns)
node_attrs = vmap(extract_node_attrs)(nodes)
new_node_attrs = vmap(genome.node_gene.mutate, in_axes=(None, 0, 0))(
new_node_attrs = vmap(self.genome.node_gene.mutate, in_axes=(None, 0, 0))(
state, nodes_randkeys, node_attrs
)
new_nodes = vmap(set_node_attrs)(nodes, new_node_attrs)
conn_attrs = vmap(extract_conn_attrs)(conns)
new_conn_attrs = vmap(genome.conn_gene.mutate, in_axes=(None, 0, 0))(
new_conn_attrs = vmap(self.genome.conn_gene.mutate, in_axes=(None, 0, 0))(
state, conns_randkeys, conn_attrs
)
new_conns = vmap(set_conn_attrs)(conns, new_conn_attrs)