parameters: (self, original_node)
docstring: Replaces a Concat node with the eight bit equivalent sub-graph.
  
      Converts a node like this:
  
         Shape(f)   Input0(f)   Input1(f)
           |          |            |
           +--------v v v----------+
                    Concat
                      |
                      v
                     (f)
  
       Into a quantized equivalent:
  
         Shape(f)     Input0(f)             ReshapeDims                  Input1(f)
           |             +------v v--------------+------------------v v------+
           |             |    Reshape                             Reshape    |
           |             |      |                                     |      |
           |             |      |           ReductionDims             |      |
           |             |      +------+         |           +--------+      |
           |             |      |  +---c---------+-----------c-----+  |      |
           |             |      +v v   v v-------+---------v v     v v+      |
           |             |       Min   Max                 Min     Max       |
           |             |  +----+      |                   |       +-----+  |
           |             v  v  v--------+                   +----------v  v  v
           |            Quantize                                       Quantize
           |                +------------------+   +----------------------+
           +-------------------------------+   |   |
                                           v   v   v
                                        QuantizedConcat
                                           |   |   |
                                           v   v   v
                                          Dequantize
                                               |
                                               v
                                              (f)
      Args:
        original_node: Float node to be converted.
  
      Returns:
        Subgraph representing the quantized version of the original node.
docstring_summary: Replaces a Concat node with the eight bit equivalent sub-graph.
docstring_tokens: Replaces a Concat node with the eight bit equivalent sub - graph .
function: def eightbitize_concat_node(self, original_node):
      """Replaces a Concat node with the eight bit equivalent sub-graph.
  
      Converts a node like this:
  
         Shape(f)   Input0(f)   Input1(f)
           |          |            |
           +--------v v v----------+
                    Concat
                      |
                      v
                     (f)
  
       Into a quantized equivalent:
  
         Shape(f)     Input0(f)             ReshapeDims                  Input1(f)
           |             +------v v--------------+------------------v v------+
           |             |    Reshape                             Reshape    |
           |             |      |                                     |      |
           |             |      |           ReductionDims             |      |
           |             |      +------+         |           +--------+      |
           |             |      |  +---c---------+-----------c-----+  |      |
           |             |      +v v   v v-------+---------v v     v v+      |
           |             |       Min   Max                 Min     Max       |
           |             |  +----+      |                   |       +-----+  |
           |             v  v  v--------+                   +----------v  v  v
           |            Quantize                                       Quantize
           |                +------------------+   +----------------------+
           +-------------------------------+   |   |
                                           v   v   v
                                        QuantizedConcat
                                           |   |   |
                                           v   v   v
                                          Dequantize
                                               |
                                               v
                                              (f)
      Args:
        original_node: Float node to be converted.
  
      Returns:
        Subgraph representing the quantized version of the original node.
  
      """
      namespace_prefix = original_node.name + "_eightbit"
      quantized_concat_name = namespace_prefix + "_quantized_concat"
      reshape_dims_name, reduction_dims_name = self.add_common_quantization_nodes(
          namespace_prefix)
      shape_input_name = original_node.input[0]
      original_inputs = original_node.input[1:]
      input_names = []
      min_names = []
      max_names = []
      for original_input_name in original_inputs:
        quantize_input_name, min_input_name, max_input_name = (
            self.eightbitize_input_to_node(namespace_prefix, original_input_name,
                                           reshape_dims_name,
                                           reduction_dims_name))
        input_names.append(quantize_input_name)
        min_names.append(min_input_name)
        max_names.append(max_input_name)
      all_input_names = [shape_input_name]
      all_input_names.extend(input_names)
      all_input_names.extend(min_names)
      all_input_names.extend(max_names)
      quantized_concat_node = create_node(
          "QuantizedConcat", quantized_concat_name, all_input_names)
      set_attr_int(quantized_concat_node, "N", len(original_inputs))
      set_attr_dtype(quantized_concat_node, "T", tf.quint8)
      self.add_output_graph_node(quantized_concat_node)
      self.add_dequantize_result_node(quantized_concat_name, original_node.name)
function_tokens: def eightbitize_concat_node ( self , original_node ) : namespace_prefix = original_node . name + "_eightbit" quantized_concat_name = namespace_prefix + "_quantized_concat" reshape_dims_name , reduction_dims_name = self . add_common_quantization_nodes ( namespace_prefix ) shape_input_name = original_node . input [ 0 ] original_inputs = original_node . input [ 1 : ] input_names = [ ] min_names = [ ] max_names = [ ] for original_input_name in original_inputs : quantize_input_name , min_input_name , max_input_name = ( self . eightbitize_input_to_node ( namespace_prefix , original_input_name , reshape_dims_name , reduction_dims_name ) ) input_names . append ( quantize_input_name ) min_names . append ( min_input_name ) max_names . append ( max_input_name ) all_input_names = [ shape_input_name ] all_input_names . extend ( input_names ) all_input_names . extend ( min_names ) all_input_names . extend ( max_names ) quantized_concat_node = create_node ( "QuantizedConcat" , quantized_concat_name , all_input_names ) set_attr_int ( quantized_concat_node , "N" , len ( original_inputs ) ) set_attr_dtype ( quantized_concat_node , "T" , tf . quint8 ) self . add_output_graph_node ( quantized_concat_node ) self . add_dequantize_result_node ( quantized_concat_name , original_node . name )