parameters: (cond, a, b, name=None)
return_statement: return examples_multiplex_dense(
        cond=cond, a_values=a, b_values=b, name=name)
docstring: Return elements chosen from `a` or `b` depending on `cond`.
  
    This is similar to `np.where` and `tf.where`, but simplified to only handle
    the case of dense tensors, no optional parameters, no broadcasting, etc..
  
    >>> multiplex([True, False, False, True], [1,2,3,4], [100,200,300,400])
    <tf.Tensor: shape=(4,), dtype=int32, numpy=array([  1, 200, 300,   4], ...)>
  
    Args:
      cond: tf.Tensor of type bool. Where True, yield `a`, otherwise yield `b`.
      a: tf.Tensor with the same type and shape as `b`.
      b: tf.Tensor with the same type and shape as `a`.
      name: An optional name for the op.
  
    Returns:
      A tf.Tensor with elements from `a` where `cond` is True, and elements
      from `b` elsewhere.
docstring_summary: Return elements chosen from `a` or `b` depending on `cond`.
docstring_tokens: Return elements chosen from a or b depending on cond .
function: def multiplex(cond, a, b, name=None):
    """Return elements chosen from `a` or `b` depending on `cond`.
  
    This is similar to `np.where` and `tf.where`, but simplified to only handle
    the case of dense tensors, no optional parameters, no broadcasting, etc..
  
    >>> multiplex([True, False, False, True], [1,2,3,4], [100,200,300,400])
    <tf.Tensor: shape=(4,), dtype=int32, numpy=array([  1, 200, 300,   4], ...)>
  
    Args:
      cond: tf.Tensor of type bool. Where True, yield `a`, otherwise yield `b`.
      a: tf.Tensor with the same type and shape as `b`.
      b: tf.Tensor with the same type and shape as `a`.
      name: An optional name for the op.
  
    Returns:
      A tf.Tensor with elements from `a` where `cond` is True, and elements
      from `b` elsewhere.
    """
    return examples_multiplex_dense(
        cond=cond, a_values=a, b_values=b, name=name)
function_tokens: def multiplex ( cond , a , b , name = None ) : return examples_multiplex_dense ( cond = cond , a_values = a , b_values = b , name = name )