def regionyolo_infer(node: Node):
input_shape = node.in_port(0).data.get_shape()
axis = get_canonical_axis_index(input_shape, node.axis)
end_axis = get_canonical_axis_index(input_shape, node.end_axis)
node.axis = axis
node.end_axis = end_axis
if node.do_softmax:
dims_to_flatten = input_shape[axis:end_axis + 1]
if is_fully_defined(dims_to_flatten):
flat_dim = np.ma.prod(dims_to_flatten)
else:
flat_dim = dynamic_dimension_value
node.out_port(0).data.set_shape(
[*input_shape[:axis], flat_dim, *input_shape[end_axis + 1:]])
else:
layout = node.graph.graph['layout']
assert len(layout) == 4
node.out_port(0).data.set_shape(
shape_for_layout(layout,
batch=input_shape[get_batch_dim(layout, 4)],
features=(node.classes + node.coords + 1) *
len(node.mask),
height=input_shape[get_height_dim(layout, 4)],
width=input_shape[get_width_dim(layout, 4)]))
