def _mix_layouts(parent_layouts, parameters, p_mutate_param=0.05):
layout = Layout(
input_size=parent_layouts[0].input_size,
output_size=parent_layouts[0].output_size,
output_activation=parent_layouts[0].output_activation,
block=parent_layouts[0].block,
block_input=parent_layouts[0].block_input)
if parameters.is_layout_search():
rows = random_list_element([len(p.rows) for p in parent_layouts])
for row_idx in range(rows):
parent_rows = [p.rows[row_idx] for p in parent_layouts if row_idx < len(p.rows)]
layout.rows.append(_mix_row(layout, row_idx, parent_rows, parameters))
_setup_block_inputs(layout, parameters)
if parameters.is_parameters_search():
_mutate_layer_parameters(
layout,
parameters,
p_mutate_param=p_mutate_param)
else:
layout.rows = random_list_element([
parent_layouts[0].rows,
parent_layouts[1].rows])
return layout
def _random_layout(layout, experiment_parameters):
layout = Layout(
layout.input_size,
layout.output_size,
layout.output_activation,
layout.block)
if experiment_parameters.is_layout_search():
rows = random_initial_param_value(experiment_parameters.get_layout_parameter('rows'))
for row_idx in range(rows):
layout.rows.append(
_random_layout_row(
layout,
row_idx,
experiment_parameters))
else:
layout.rows = [
Row(blocks=[
_instantiate_layout_block(
layout,
0,
experiment_parameters)])]
if experiment_parameters.is_parameters_search():
_set_layout_random_parameters(layout, experiment_parameters)
return layout