void AverageEvalFloat(TfLiteContext* context, TfLiteNode* node,
                      TfLitePoolParams* params, OpData* data,
                      const TfLiteTensor* input, TfLiteTensor* output) {
  float activation_min, activation_max;
  CalculateActivationRange(params->activation, &activation_min,
                           &activation_max);
#define TF_LITE_AVERAGE_POOL(type)                                       \
  tflite::PoolParams op_params;                                          \
  op_params.stride_height = params->stride_height;                       \
  op_params.stride_width = params->stride_width;                         \
  op_params.filter_height = params->filter_height;                       \
  op_params.filter_width = params->filter_width;                         \
  op_params.padding_values.height = data->padding.height;                \
  op_params.padding_values.width = data->padding.width;                  \
  op_params.float_activation_min = activation_min;                       \
  op_params.float_activation_max = activation_max;                       \
  type::AveragePool(op_params, GetTensorShape(input),                    \
                    GetTensorData<float>(input), GetTensorShape(output), \
                    GetTensorData<float>(output))
  if (kernel_type == kReference) {
    TF_LITE_AVERAGE_POOL(reference_ops);
  } else {
    TF_LITE_AVERAGE_POOL(optimized_ops);
  }
#undef TF_LITE_AVERAGE_POOL
}
The program contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop.