def TF_InfeedDequeueTupleOp : TF_Op<"InfeedDequeueTuple", []> {
  let summary = "Fetches multiple values from infeed as an XLA tuple.";

  let arguments = (ins
    OptionalAttr<StrAttr>:$_XlaSharding,
    OptionalAttr<ArrayAttr>:$layouts
  );

  let results = (outs
    Variadic<TF_Tensor>:$outputs
  );

  TF_DerivedResultShapeListAttr shapes = TF_DerivedResultShapeListAttr<0>;

// Return true if the op has non-empty "minmax" attribute.
static inline bool HasValidMinMaxAttribute(Operation* op) {
  auto minmax = op->getAttrOfType<ArrayAttr>("minmax");
  return minmax && minmax.getValue().size() == 2;
}

namespace {

/// This pattern matches and remove a tfl.fake_quant if all the users of this op
/// and itself have "minmax" attribute set.

    %0 = "tf.B"(%arg0) : (tensor<?xi32>) -> tensor<?xi32>
    func.return %0 : tensor<?xi32>
  }
}

// -----

// Tests Functions referenced by TPU function via SymbolRefAttr nested in
// ArrayAttr and DictionaryAttr.