code: def parse_reshape_layer(
      keras_layer, input_names, input_shapes, data_reader
  ):
      assert keras_layer["class_name"] == "Reshape"
  
      layer = parse_default_keras_layer(keras_layer, input_names)
  
      layer["target_shape"] = keras_layer["config"]["target_shape"]
      output_shape = (
          input_shapes[0][:1] + keras_layer["config"]["target_shape"]
      )
  
      return layer, output_shape
  
file_path: hls4ml/hls4ml/converters/keras/reshape.py
imports: import numpy
  from hls4ml.converters.keras_to_hls import keras_handler, parse_default_keras_layer
  from hls4ml.converters.utils import parse_data_format
label_desc: Use image node_id 2 for calling a global function with example usage: parse_reshape_layer(keras_layer, input_names, input_shapes, data_reader) and returns: layer,  output_shape