code: def _randomTensor(self, size, np_dtype, sparse=True):
      n, m = size
      x = np.random.randn(n, m).astype(np_dtype)
      return _sparsify(x) if sparse else x
  
imports: import timeit
  import numpy
  from tensorflow.python.client import session
  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 ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the SparseAddTest obj's underlying member method code with example usage: obj._randomTensor(size, np_dtype, sparse) and returns: unknown