def extract(node: Node):
read_learning_info(node.parameters)
return FixedAffineComponentFrontExtractor.extract(node)
def create_pb_for_test_node(cls):
pb = b'<LinearParams> ' + KaldiFrontExtractorTest.generate_matrix(
[10, 10])
pb += b'<BiasParams> ' + KaldiFrontExtractorTest.generate_vector(10)
cls.test_node['parameters'] = TestKaldiUtilsLoading.bytesio_from(pb)
FixedAffineComponentFrontExtractor.extract(cls.test_node)
