from tensorflow.python.framework import ops


  Returns:
    A Tensor of the same shape of `x`.

  Raises:
    ValueError: If `keep_prob` is not in `(0, 1]`.
  """
  with ops.op_scope([x], name, "dropout") as name:
    x = ops.convert_to_tensor(x, name="x")
    if isinstance(keep_prob, float) and not 0 < keep_prob <= 1:
      raise ValueError("keep_prob must be a scalar tensor or a float in the "
                       "range (0, 1], got %g" % keep_prob)
    keep_prob = ops.convert_to_tensor(
        keep_prob, dtype=x.dtype, name="keep_prob")
    keep_prob.get_shape().assert_is_compatible_with(tensor_shape.scalar())

