// Copyright 2025 The ODML Authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_BY_PASS_IMAGE_PREPROCESSOR_H_ #define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_BY_PASS_IMAGE_PREPROCESSOR_H_ #include #include "absl/status/status.h" // from @com_google_absl #include "absl/status/statusor.h" // from @com_google_absl #include "litert/cc/litert_macros.h" // from @litert #include "runtime/components/preprocessor/image_preprocessor.h" #include "runtime/engine/io_types.h" #include "runtime/util/status_macros.h" // IWYU pragma: keep namespace litert::lm { // Image preprocessor implementation that bypasses the preprocessing and returns // the input image directly if it's already a TensorBuffer. class ByPassImagePreprocessor : public ImagePreprocessor { public: absl::StatusOr Preprocess( const InputImage& input_image, const ImagePreprocessParameter& parameter) override { if (input_image.IsTensorBuffer()) { ASSIGN_OR_RETURN(auto processed_image_tensor, input_image.GetPreprocessedImageTensor()); LITERT_ASSIGN_OR_RETURN(auto processed_image_tensor_with_reference, processed_image_tensor->Duplicate()); InputImage processed_image( std::move(processed_image_tensor_with_reference)); return processed_image; } return absl::InvalidArgumentError("Input image is not preprocessed."); }; }; } // namespace litert::lm #endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_BY_PASS_IMAGE_PREPROCESSOR_H_