code: def register_qkeras():
      # Register the layer types to the layer map
      register_layer("ApplyAlpha", ApplyAlpha)
  
      # Register the optimization passes
      register_pass(
          "output_rounding_saturation_mode",
          OutputRoundingSaturationMode,
      )
      register_pass("qkeras_factorize_alpha", QKerasFactorizeAlpha)
      register_pass(
          "extract_ternary_threshold", ExtractTernaryThreshold
      )
      register_pass(
          "fuse_consecutive_batch_normalization",
          FuseConsecutiveBatchNormalization,
      )
  
imports: import numpy
  import tensorflow
  from hls4ml.model.layers import BatchNormalization, register_layer
  from hls4ml.model.optimizer import ConfigurableOptimizerPass, OptimizerPass, register_pass
  from hls4ml.model.types import FixedPrecisionType, IntegerPrecisionType, NamedType, QKerasPO2Quantizer
label_desc: Use image node_id 1 for calling a global function with example usage: register_qkeras() without return types