// 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_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_H_ #define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_H_ #include #include #include #include "absl/status/status.h" // from @com_google_absl #include "absl/types/span.h" // from @com_google_absl #include "litert/cc/litert_tensor_buffer.h" // from @litert namespace litert::lm { // Virtual class for looking up embeddings. // // This can be subclassed for different embedding lookup implementations. Some // implementations may require looking up from a .tflite model, while others // may have already been pre-computed and can be looked up from a buffer. class EmbeddingLookup { public: virtual ~EmbeddingLookup() = default; // For a given token, looks up the embedding and stores it in the // provided vector. The caller is responsible for ensuring that the vector is // the correct size for the embedding. // // This is used for the case where the llm_litert_executor needs to look up // embeddings for the current step and then use the result for the next step. // At that point, it does not have a TfLiteTensor to store the result in. virtual absl::Status LookupDecode(int token, std::vector& output_vector) = 0; // For a given token, looks up the embedding and stores it in the // output tensor. virtual absl::Status LookupDecode(int token, litert::TensorBuffer* output_tensor) = 0; // For a given token, looks up the embedding and stores it in the // provided vector. The caller is responsible for ensuring that the vector is // the correct size for the embedding. // // This is used for the case where the llm_litert_executor needs to look up // embeddings for the current step and then use the result for the next step. // At that point, it does not have a TfLiteTensor to store the result in. virtual absl::Status LookupPrefill(int token, std::vector& output_vector) = 0; // For a given list of tokens, looks up the embeddings, concatenates them and // returns the result through the output tensor. // // bytes_offset is used to indicate what byte to start writing to in the // output_tensor. This is used in cases where the output_tensor has already // had some embeddings written to it. virtual absl::Status LookupPrefill(absl::Span tokens, litert::TensorBuffer* output_tensor, size_t byte_offset) = 0; }; } // namespace litert::lm #endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_H_