code: def testBatchSelect(self):
      x = np.array(
          [[-2, 3, -1] * 64, [1, -3, -3] * 64] * 8192
      )  # [16384, 192]
      c_mat = np.array(
          [[False] * 192, [True] * 192] * 8192
      )  # [16384, 192]
      c_vec = np.array([False, True] * 8192)  # [16384]
      np_val = np.where(c_mat, x * x, -x)
      with self.session():
          tf_val = array_ops.where(c_vec, x * x, -x).eval()
      self.assertAllEqual(tf_val, np_val)
  
imports: import itertools
  import sys
  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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 45 for calling the WhereOpTest obj's underlying member method code with example usage: obj.testBatchSelect() without return types