parameters: (tensor)
docstring: Converts a sparse tensor into a dense tensor and returns it.
  
    Arguments:
        tensor: A tensor instance (potentially sparse).
  
    Returns:
        A dense tensor.
  
    Examples:
    ```python
        >>> from keras import backend as K
        >>> b = K.placeholder((2, 2), sparse=True)
        >>> print(K.is_sparse(b))
        True
        >>> c = K.to_dense(b)
        >>> print(K.is_sparse(c))
        False
    ```
docstring_summary: Converts a sparse tensor into a dense tensor and returns it.
docstring_tokens: Converts a sparse tensor into a dense tensor and returns it .
function: def to_dense(tensor):
    """Converts a sparse tensor into a dense tensor and returns it.
  
    Arguments:
        tensor: A tensor instance (potentially sparse).
  
    Returns:
        A dense tensor.
  
    Examples:
    ```python
        >>> from keras import backend as K
        >>> b = K.placeholder((2, 2), sparse=True)
        >>> print(K.is_sparse(b))
        True
        >>> c = K.to_dense(b)
        >>> print(K.is_sparse(c))
        False
    ```
    """
    if is_sparse(tensor):
      return sparse_ops.sparse_tensor_to_dense(tensor)
    else:
      return tensor
function_tokens: def to_dense ( tensor ) : if is_sparse ( tensor ) : return sparse_ops . sparse_tensor_to_dense ( tensor ) else : return tensor