code: """
   Copyright (C) 2018-2020 Intel Corporation
  
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at
  
        http://www.apache.org/licenses/LICENSE-2.0
  
   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
  """
  
  import numpy as np
  
  from extensions.ops.normalize import NormalizeOp
  from mo.front.caffe.extractors.utils import embed_input
  from mo.front.extractor import FrontExtractorOp
  from mo.front.kaldi.loader.utils import collect_until_token, read_binary_bool_token, read_binary_integer32_token, \
      read_binary_float_token
  from mo.utils.error import Error
  
  
  class NormalizeComponentFrontExtractor(FrontExtractorOp):
      op = 'normalizecomponent'
      enabled = True
  
      @classmethod
      def extract(cls, node):
          pb = node.parameters
          try:
              collect_until_token(pb, b'<Dim>')
          except Error:
              try:
                  pb.seek(0)
                  collect_until_token(pb, b'<InputDim>')
              except Error:
                  raise Error("Neither <Dim> nor <InputDim> were found")
          in_dim = read_binary_integer32_token(pb)
  
          try:
              collect_until_token(pb, b'<TargetRms>')
              target_rms = read_binary_float_token(pb)
          except Error:
              # model does not contain TargetRms
              target_rms = 1.0
  
          try:
              collect_until_token(pb, b'<AddLogStddev>')
              add_log = read_binary_bool_token(pb)
          except Error:
              # model does not contain AddLogStddev
              add_log = False
  
          if add_log is not False:
              raise Error("AddLogStddev True  in Normalize component is not supported")
  
          scale = target_rms * np.sqrt(in_dim)
  
          attrs = {
                   'eps': 0.00000001,
                   'across_spatial': 0,
                   'channel_shared': 1,
                   'in_dim': in_dim,
          }
          embed_input(attrs, 1, 'weights', [scale])
  
          NormalizeOp.update_node_stat(node, attrs)
          return cls.enabled
  
apis: numpy.sqrt