TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
  // Check for supported activation types.
  auto* params =
      reinterpret_cast<TfLiteFullyConnectedParams*>(node->builtin_data);
  const TfLiteTensor* filter = GetInput(context, node, kWeightsTensor);
  const TfLiteTensor* input = GetInput(context, node, kInputTensor);
  const bool is_quantized =
      ((filter->type == kTfLiteUInt8) || (filter->type == kTfLiteInt8));
  const bool is_hybrid = is_quantized && (input->type == kTfLiteFloat32);
  const bool is_pie = kernel_type == kLegacyPie;

  // Pie and hybrid path supports all kinds of fused activations, otherwise only
  // clipping activations are supported.
  if (!is_pie && !is_hybrid) {
    TF_LITE_ENSURE(context, params->activation == kTfLiteActNone ||
                                params->activation == kTfLiteActRelu ||
                                params->activation == kTfLiteActReluN1To1 ||
                                params->activation == kTfLiteActRelu6);
  }
  return PrepareImpl(context, node);
}
The software reads data past the end, or before the beginning, of the intended buffer.