77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
import numpy as np
|
|
from .default import DefaultSubstrate
|
|
|
|
|
|
class FullSubstrate(DefaultSubstrate):
|
|
|
|
def __init__(self,
|
|
input_coors=((-1, -1), (0, -1), (1, -1)),
|
|
hidden_coors=((-1, 0), (0, 0), (1, 0)),
|
|
output_coors=((0, 1),),
|
|
):
|
|
query_coors, nodes, conns = analysis_substrate(input_coors, output_coors, hidden_coors)
|
|
super().__init__(
|
|
len(input_coors),
|
|
len(output_coors),
|
|
query_coors,
|
|
nodes,
|
|
conns
|
|
)
|
|
|
|
|
|
def analysis_substrate(input_coors, output_coors, hidden_coors):
|
|
input_coors = np.array(input_coors)
|
|
output_coors = np.array(output_coors)
|
|
hidden_coors = np.array(hidden_coors)
|
|
|
|
cd = input_coors.shape[1] # coordinate dimensions
|
|
si = input_coors.shape[0] # input coordinate size
|
|
so = output_coors.shape[0] # output coordinate size
|
|
sh = hidden_coors.shape[0] # hidden coordinate size
|
|
|
|
input_idx = np.arange(si)
|
|
output_idx = np.arange(si, si + so)
|
|
hidden_idx = np.arange(si + so, si + so + sh)
|
|
|
|
total_conns = si * sh + sh * sh + sh * so
|
|
query_coors = np.zeros((total_conns, cd * 2))
|
|
correspond_keys = np.zeros((total_conns, 2))
|
|
|
|
# connect input to hidden
|
|
aux_coors, aux_keys = cartesian_product(input_idx, hidden_idx, input_coors, hidden_coors)
|
|
query_coors[0: si * sh, :] = aux_coors
|
|
correspond_keys[0: si * sh, :] = aux_keys
|
|
|
|
# connect hidden to hidden
|
|
aux_coors, aux_keys = cartesian_product(hidden_idx, hidden_idx, hidden_coors, hidden_coors)
|
|
query_coors[si * sh: si * sh + sh * sh, :] = aux_coors
|
|
correspond_keys[si * sh: si * sh + sh * sh, :] = aux_keys
|
|
|
|
# connect hidden to output
|
|
aux_coors, aux_keys = cartesian_product(hidden_idx, output_idx, hidden_coors, output_coors)
|
|
query_coors[si * sh + sh * sh:, :] = aux_coors
|
|
correspond_keys[si * sh + sh * sh:, :] = aux_keys
|
|
|
|
nodes = np.concatenate((input_idx, output_idx, hidden_idx))[..., np.newaxis]
|
|
conns = np.zeros((correspond_keys.shape[0], 4), dtype=np.float32) # input_idx, output_idx, enabled, weight
|
|
conns[:, 0:2] = correspond_keys
|
|
conns[:, 2] = 1 # enabled is True
|
|
|
|
return query_coors, nodes, conns
|
|
|
|
|
|
def cartesian_product(keys1, keys2, coors1, coors2):
|
|
len1 = keys1.shape[0]
|
|
len2 = keys2.shape[0]
|
|
|
|
repeated_coors1 = np.repeat(coors1, len2, axis=0)
|
|
repeated_keys1 = np.repeat(keys1, len2)
|
|
|
|
tiled_coors2 = np.tile(coors2, (len1, 1))
|
|
tiled_keys2 = np.tile(keys2, len1)
|
|
|
|
new_coors = np.concatenate((repeated_coors1, tiled_coors2), axis=1)
|
|
correspond_keys = np.column_stack((repeated_keys1, tiled_keys2))
|
|
|
|
return new_coors, correspond_keys
|