text: path: "tensorflow.keras.layers.BatchNormalization"
  tf_class {
    is_instance: "<class \'tensorflow.python.keras.layers.normalization_v2.BatchNormalization\'>"
    is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalizationBase\'>"
    is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
    is_instance: "<class \'tensorflow.python.module.module.Module\'>"
    is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>"
    is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
    is_instance: "<type \'object\'>"
    member {
      name: "activity_regularizer"
      mtype: "<type \'property\'>"
    }
    member {
      name: "dtype"
      mtype: "<type \'property\'>"
    }
    member {
      name: "dynamic"
      mtype: "<type \'property\'>"
    }
    member {
      name: "inbound_nodes"
      mtype: "<type \'property\'>"
    }
    member {
      name: "input"
      mtype: "<type \'property\'>"
    }
    member {
      name: "input_mask"
      mtype: "<type \'property\'>"
    }
    member {
      name: "input_shape"
      mtype: "<type \'property\'>"
    }
    member {
      name: "input_spec"
      mtype: "<type \'property\'>"
    }
    member {
      name: "losses"
      mtype: "<type \'property\'>"
    }
    member {
      name: "metrics"
      mtype: "<type \'property\'>"
    }
    member {
      name: "name"
      mtype: "<type \'property\'>"
    }
    member {
      name: "name_scope"
      mtype: "<type \'property\'>"
    }
    member {
      name: "non_trainable_variables"
      mtype: "<type \'property\'>"
    }
    member {
      name: "non_trainable_weights"
      mtype: "<type \'property\'>"
    }
    member {
      name: "outbound_nodes"
      mtype: "<type \'property\'>"
    }
    member {
      name: "output"
      mtype: "<type \'property\'>"
    }
    member {
      name: "output_mask"
      mtype: "<type \'property\'>"
    }
    member {
      name: "output_shape"
      mtype: "<type \'property\'>"
    }
    member {
      name: "submodules"
      mtype: "<type \'property\'>"
    }
    member {
      name: "trainable"
      mtype: "<type \'property\'>"
    }
    member {
      name: "trainable_variables"
      mtype: "<type \'property\'>"
    }
    member {
      name: "trainable_weights"
      mtype: "<type \'property\'>"
    }
    member {
      name: "updates"
      mtype: "<type \'property\'>"
    }
    member {
      name: "variables"
      mtype: "<type \'property\'>"
    }
    member {
      name: "weights"
      mtype: "<type \'property\'>"
    }
    member_method {
      name: "__init__"
      argspec: "args=[\'self\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'beta_constraint\', \'gamma_constraint\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\', \'trainable\', \'virtual_batch_size\', \'adjustment\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'zeros\', \'ones\', \'zeros\', \'ones\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'None\', \'True\', \'None\', \'None\', \'None\'], "
    }
    member_method {
      name: "add_loss"
      argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
    }
    member_method {
      name: "add_metric"
      argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
    }
    member_method {
      name: "add_update"
      argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
    }
    member_method {
      name: "add_variable"
      argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
    }
    member_method {
      name: "add_weight"
      argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
    }
    member_method {
      name: "apply"
      argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
    }
    member_method {
      name: "build"
      argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "call"
      argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], "
    }
    member_method {
      name: "compute_mask"
      argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
    }
    member_method {
      name: "compute_output_shape"
      argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "compute_output_signature"
      argspec: "args=[\'self\', \'input_signature\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "count_params"
      argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "from_config"
      argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_config"
      argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_input_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_input_mask_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_input_shape_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_losses_for"
      argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_output_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_output_mask_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_output_shape_at"
      argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_updates_for"
      argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "get_weights"
      argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "set_weights"
      argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
    }
    member_method {
      name: "with_name_scope"
      argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
    }
  }
  