code: def test_conv2d_backprop_input(self):
      y = array_ops.fill((3, 3, 64, 64), 1 + 2**-12)
      out_backprop = array_ops.fill((16, 40, 40, 64), 1.0)
  
      def conv2d_backprop_input(y, out_backprop):
          return nn_ops.conv2d_backprop_input(
              (16, 40, 40, 64),
              y,
              out_backprop,
              [1, 1, 1, 1],
              padding="SAME",
          )
  
      self._test_fn(conv2d_backprop_input, [y, out_backprop])
  
file_path: tensorflow-upstream/tensorflow/compiler/tests/tensor_float_32_test.py
imports: from tensorflow.compiler.tests import xla_test
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  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 math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import sysconfig
label_desc: Use image node_id 6 for calling the TensorFloat32Test obj's underlying member method code with example usage: obj.test_conv2d_backprop_input() and returns: nn_ops