*   Introducing `core/util/tensor_bundle` module: a module to efficiently
    serialize/deserialize tensors to disk. Will be used in TF's new checkpoint
    format.
*   Added tf.svd for computing the singular value decomposition (SVD) of dense
    matrices or batches of matrices (CPU only).
*   Added gradients for eigenvalues and eigenvectors computed using
    `self_adjoint_eig` or `self_adjoint_eigvals`.

      "BoolAttr":$keep_dims)>
  ];

  let hasFolder = 1;
}

def TF_SvdOp : TF_Op<"Svd", [Pure]> {
  let summary = [{
Computes the singular value decompositions of one or more matrices.
  }];

  let description = [{
Computes the SVD of each inner matrix in `input` such that
`input[..., :, :] = u[..., :, :] * diag(s[..., :, :]) * transpose(v[..., :, :])`