code: def test_conv2d_backprop_filter(self):
      x = array_ops.fill((16, 40, 40, 64), 1 + 2**-12)
      out_backprop = array_ops.fill((16, 40, 40, 64), 1.0)
  
      def conv2d_backprop_filter(x, out_backprop):
          return nn_ops.conv2d_backprop_filter(
              x,
              (3, 3, 64, 64),
              out_backprop,
              [1, 1, 1, 1],
              padding="SAME",
          )
  
      self._test_fn(conv2d_backprop_filter, [x, out_backprop])
  
file_path: tensorflow/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 7 for calling the TensorFloat32Test obj's underlying member method code with example usage: obj.test_conv2d_backprop_filter() and returns: nn_ops