message: Updated lstm_eval.cc
diff: @@ -119,7 +119,7 @@ inline void LstmStepWithAuxInput(
  float* forget_gate_scratch, float* cell_scratch, float* output_gate_scratch,
  float* output_ptr_batch) {
  // Since we have already checked that weights are all there or none, we can
  - // check the existense of only one to the get the condition.
  + // check the existence of only one to the get the condition.
  const bool use_cifg = (input_to_input_weights_ptr == nullptr);
  const bool use_peephole = (cell_to_output_weights_ptr != nullptr);
  const bool is_layer_norm_lstm =
  @@ -473,7 +473,7 @@ inline void LstmStepWithAuxInput(
  int8_t* quantized_cell_state_ptr, float* output_state_ptr,
  float* cell_state_ptr, float* output_ptr_batch) {
  // Since we have already checked that weights are all there or none, we
  - // can check the existense of only one to the get the condition.
  + // can check the existence of only one to the get the condition.
  const bool use_cifg = (input_to_input_weights_ptr == nullptr);
  const bool use_peephole = (cell_to_output_weights_ptr != nullptr);
  const bool is_layer_norm_lstm =
  @@ -913,7 +913,7 @@ TfLiteStatus EvalFloat(
  const int n_output = recurrent_to_output_weights->dims->data[1];
  // Since we have already checked that weights are all there or none, we can
  - // check the existense of only one to the get the condition.
  + // check the existence of only one to the get the condition.
  const bool use_cifg = (input_to_input_weights == nullptr);
  const bool use_peephole = (cell_to_output_weights != nullptr);
  const bool is_layer_norm_lstm = (forget_layer_norm_coefficients != nullptr);
  