code: def _CreateNumpyTensor(self, sizes):
      return np.asarray(
          [f * 1.0 for f in range(1, np.prod(sizes) + 1)],
          dtype=np.float32,
      ).reshape(sizes)
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_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
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.eager import context
label_desc: Use image node_id 5 for calling the Conv3DTest obj's underlying member method code with example usage: obj._CreateNumpyTensor(sizes) and returns: np