message: Fix asan test for unidirectional_sequence_gru by setting fully_connected lhs/rhs cacheable.
diff: @@ -62,6 +62,12 @@ void GruImpl(const TfLiteTensor* input, const TfLiteTensor* input_state,
  tflite::FullyConnectedParams fc_params;
  fc_params.float_activation_min = std::numeric_limits<float>::lowest();
  fc_params.float_activation_max = std::numeric_limits<float>::max();
  +
  + // The lhs is cacheable only when both gate weight & candidate weight are both
  + // constants.
  + fc_params.lhs_cacheable =
  + IsConstantTensor(gate_weight) && IsConstantTensor(candidate_weight);
  + fc_params.rhs_cacheable = false;
  for (int i = 0; i < n_time; ++i) {
  gru_cell::GruCell(
  input_shape, input_data, state_shape, input_state_data,
  