message: make TransposeConv on NNAPI work
  NNAPI TransposeConv op should take tensor inputs from TFLite node.
  This actually is from
diff: @@ -2404,8 +2404,10 @@ TfLiteStatus NNAPIDelegateKernel::Map(
  case kTfLiteBuiltinTransposeConv: {
  const bool hybrid_op = IsHybridOperator(
  mapping_args.context, kTfLiteBuiltinTransposeConv, mapping_args.node);
  - mapping_args.builder->AddTensorInput(/*kDataInputTensor*/ 2, hybrid_op);
  - mapping_args.builder->AddTensorInput(/*kWeightsTensor*/ 1, hybrid_op);
  + mapping_args.builder->AddTensorInput(
  + mapping_args.node->inputs->data[/*kDataInputTensor*/ 2], hybrid_op);
  + mapping_args.builder->AddTensorInput(
  + mapping_args.node->inputs->data[/*kWeightsTensor*/ 1], hybrid_op);
  // NNAPI requires a bias tensor, so we allocate a new tensor to fill
  // it with zeroes. It is deleted with other tensors in the context
  @@ -2461,7 +2463,8 @@ TfLiteStatus NNAPIDelegateKernel::Map(
  /*zero_point=*/0);
  }
  - mapping_args.builder->AddTensorInput(/*kOutputShapeTensor*/ 0, hybrid_op);
  + mapping_args.builder->AddTensorInput(
  + mapping_args.node->inputs->data[/*kOutputShapeTensor*/ 0], hybrid_op);
  auto builtin = reinterpret_cast<TfLiteTransposeConvParams*>(
  mapping_args.node->builtin_data);
  