code: def ConfigsToTest():
      """Iterator for different convolution shapes, strides and paddings.
  
      Returns:
        List of tuples (input_size, filter_size, out_size, stride, padding,
        dilations), the depthwise convolution parameters.
      """
  
      def Config(
          input_size,
          filter_size,
          out_size,
          stride=1,
          padding="SAME",
          dilations=None,
      ):
          return (
              input_size,
              filter_size,
              out_size,
              stride,
              padding,
              dilations,
          )
  
      return [
          Config([4, 5, 5, 48], [1, 1, 48, 2], [4, 5, 5, 96]),
          Config([4, 8, 8, 84], [1, 3, 84, 1], [4, 8, 8, 84]),
          Config([4, 17, 17, 48], [3, 1, 48, 4], [4, 17, 17, 192]),
          Config([4, 9, 27, 8], [3, 3, 8, 1], [4, 9, 27, 8]),
          Config([4, 31, 31, 7], [3, 3, 7, 1], [4, 31, 31, 7]),
          Config([4, 35, 35, 2], [5, 5, 2, 1], [4, 35, 35, 2]),
          Config(
              [4, 147, 147, 2],
              [3, 3, 2, 8],
              [4, 49, 49, 16],
              3,
              padding="VALID",
          ),
          Config([3, 299, 299, 3], [3, 2, 3, 8], [3, 150, 150, 24], 2),
          Config([5, 183, 183, 1], [5, 5, 1, 2], [5, 92, 92, 2], 2),
          Config(
              [5, 183, 183, 1],
              [5, 5, 1, 2],
              [5, 183, 183, 2],
              dilations=[2, 2],
          ),
          Config(
              [5, 41, 35, 2],
              [4, 7, 2, 2],
              [5, 32, 23, 4],
              padding="VALID",
              dilations=[3, 2],
          ),
      ]
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling a global function with example usage: ConfigsToTest() and returns: list, input_size,  filter_size,  out_size,  stride,  padding,  dilations