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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29
tensorneat/algorithm/neat/genome/recurrent.py
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@@ -39,7 +39,7 @@ class RecurrentGenome(BaseGenome):
conn_enable = u_conns[0] == 1
u_conns = jnp.where(conn_enable, u_conns[1:, :], jnp.nan)
return nodes, u_conns
return state, nodes, u_conns
def forward(self, state, inputs, transformed):
nodes, conns = transformed
@@ -48,27 +48,36 @@ class RecurrentGenome(BaseGenome):
vals = jnp.full((N,), jnp.nan)
nodes_attrs = nodes[:, 1:]
def body_func(_, values):
def body_func(_, carry):
state_, values = carry
# set input values
values = values.at[self.input_idx].set(inputs)
# calculate connections
node_ins = jax.vmap(
state_, node_ins = jax.vmap(
jax.vmap(
self.conn_gene.forward,
in_axes=(None, 1, None)
in_axes=(None, 1, None),
out_axes=(None, 0)
),
in_axes=(None, 1, 0)
)(state, conns, values)
in_axes=(None, 1, 0),
out_axes=(None, 0)
)(state_, conns, values)
# calculate nodes
is_output_nodes = jnp.isin(
jnp.arange(N),
self.output_idx
)
values = jax.vmap(self.node_gene.forward, in_axes=(None, 0, 0))(nodes_attrs, node_ins.T, is_output_nodes)
return values
state_, values = jax.vmap(
self.node_gene.forward,
in_axes=(None, 0, 0, 0),
out_axes=(None, 0)
)(state_, nodes_attrs, node_ins.T, is_output_nodes)
vals = jax.lax.fori_loop(0, self.activate_time, body_func, vals)
return state_, values
return vals[self.output_idx]
state, vals = jax.lax.fori_loop(0, self.activate_time, body_func, (state, vals))
return state, vals[self.output_idx]