add flatten_conns as an inverse function for unflatten_conns; add "test_flatten.ipynb" as test for them.
30 lines
823 B
Python
30 lines
823 B
Python
import jax, jax.numpy as jnp
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from .. import BaseGene
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class BaseNodeGene(BaseGene):
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"Base class for node genes."
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fixed_attrs = ["index"]
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def __init__(self):
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super().__init__()
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def crossover(self, state, randkey, gene1, gene2):
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return jnp.where(
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jax.random.normal(randkey, gene1.shape) > 0,
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gene1,
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gene2,
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)
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def forward(self, state, attrs, inputs, is_output_node=False):
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raise NotImplementedError
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def update_by_batch(self, state, attrs, batch_inputs, is_output_node=False):
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# default: do not update attrs, but to calculate batch_res
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return (
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jax.vmap(self.forward, in_axes=(None, None, 0, None))(
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state, attrs, batch_inputs, is_output_node
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),
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attrs,
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)
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