code: def shape_inner_product(node):
      input_shape = node.get_only_parent()[0].output_shape
      return TensorShape(
          input_shape.batch_size, node.parameters.num_output, 1, 1
      )
  
file_path: MMdnn/mmdnn/conversion/caffe/shape.py
imports: from collections import namedtuple
  import math
label_desc: Use image node_id 15 for calling a global function with example usage: shape_inner_product(node) and returns: TensorShape