code: def testConv2dGradWRTFilter(self):
      x = constant_op.constant(
          [0.5], dtype=dtypes.float32, shape=[1, 4, 4, 3], name="input"
      )
      f = array_ops.placeholder(
          dtype=dtypes.float32, shape=[2, 2, 3, 2], name="filter"
      )
      y = nn_ops.conv2d(x, f, [1, 1, 1, 1], "SAME")
      self.run_test(f, y)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the Conv2dOpTest obj's underlying member method code with example usage: obj.testConv2dGradWRTFilter() without return types