class_docstr: Construct and access Conv + (Squeeze) + BatchNorm + activation models.
class_docstr_tok: ["Construct","and","access","Conv","+","(","Squeeze",")","+","BatchNorm","+","activation","models","."]
code: def get_output_shape(cls):
      return [cls.params["batch_size"], 2, 2, 2]
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/layers/conv_batchnorm_test_utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 2 for calling the Conv2DModel obj's underlying member method code with example usage: obj.get_output_shape(cls) and returns: list