Python _serialize_sparseの例

コード例 #1

def serialize_sparse(sp_input, name=None):
    """Serialize a `SparseTensor` into a string 3-vector (1-D `Tensor`) object.

  Args:
    sp_input: The input `SparseTensor`.
    name: A name prefix for the returned tensors (optional).

  Returns:
    A string 3-vector (1D `Tensor`), with each column representing the
    serialized `SparseTensor`'s indices, values, and shape (respectively).

  Raises:
    TypeError: If `sp_input` is not a `SparseTensor`.
  """
    if not isinstance(sp_input, ops.SparseTensor):
        raise TypeError("Input must be a SparseTensor.")

    return gen_sparse_ops._serialize_sparse(sp_input.indices,
                                            sp_input.values,
                                            sp_input.shape,
                                            name=name)

コード例 #2

ファイル: sparse_ops.py プロジェクト: 13331151/tensorflow

def serialize_sparse(sp_input, name=None):
  """Serialize a `SparseTensor` into a string 3-vector (1-D `Tensor`) object.

  Args:
    sp_input: The input `SparseTensor`.
    name: A name prefix for the returned tensors (optional).

  Returns:
    A string 3-vector (1D `Tensor`), with each column representing the
    serialized `SparseTensor`'s indices, values, and shape (respectively).

  Raises:
    TypeError: If `sp_input` is not a `SparseTensor`.
  """
  if not isinstance(sp_input, ops.SparseTensor):
    raise TypeError("Input must be a SparseTensor.")

  return gen_sparse_ops._serialize_sparse(
      sp_input.indices,
      sp_input.values,
      sp_input.shape,
      name=name)