code: def __init__(self):
      super().__init__(BatchNormalizationQuantizedTanh)
      self.template = batchnorm_quantized_tanh_config_template
  
imports: import numpy
  from hls4ml.backends.fpga.fpga_layers import BatchNormalizationQuantizedTanh
  from hls4ml.backends.template import FunctionCallTemplate, LayerConfigTemplate
  from hls4ml.model.layers import BatchNormalization, register_layer
  from hls4ml.model.optimizer import OptimizerPass
  from hls4ml.model.types import IntegerPrecisionType, NamedType, XnorPrecisionType
label_desc: Use image node_id 1 to create a new BatchNormalizationQuantizedTanhConfigTemplate object from inherited base classes: LayerConfigTemplate with example: obj = BatchNormalizationQuantizedTanhConfigTemplate()