code: def assert_no_entries_with_modulus_zero(
      x, message=None, name="assert_no_entries_with_modulus_zero"
  ):
      """Returns `Op` that asserts Tensor `x` has no entries with modulus zero.
  
      Args:
        x:  Numeric `Tensor`, real, integer, or complex.
        message:  A string message to prepend to failure message.
        name:  A name to give this `Op`.
  
      Returns:
        An `Op` that asserts `x` has no entries with modulus zero.
      """
      with ops.name_scope(name, values=[x]):
          x = ops.convert_to_tensor(x, name="x")
          dtype = x.dtype
          should_be_nonzero = math_ops.abs(x)
          zero = ops.convert_to_tensor(
              0, dtype=dtypes.real_dtype(dtype)
          )
          return check_ops.assert_less(
              zero, should_be_nonzero, message=message
          )
  
imports: import numpy
  from tensorflow_probability.python.internal.backend.numpy import dtype
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import numpy_array
  from tensorflow_probability.python.internal.backend.numpy import debugging
  from tensorflow_probability.python.internal.backend.numpy import control_flow
  from tensorflow_probability.python.internal.backend.numpy import linalg_impl
  from tensorflow_probability.python.internal.backend.numpy import numpy_math
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import nest
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import linalg_impl
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.gen import tensor_shape
  from tensorflow_probability.python.internal.backend.numpy import private
label_desc: Use image node_id 7 for calling a global function with example usage: assert_no_entries_with_modulus_zero(x, message, name) and returns: check_ops