// 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_MULTI_MODAL_H_ #define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_MULTI_MODAL_H_ #include #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 #include "runtime/components/embedding_lookup/embedding_lookup.h" namespace litert::lm { class EmbeddingLookupMultiModal : public EmbeddingLookup { public: ~EmbeddingLookupMultiModal() override = default; // Creates a EmbeddingLookupMultiModal instance. // // The embedding buffer will be used whenever the special token is present in // the input tokens to the Lookup functions. Whenever the special token is // present, a number of bytes will be read from the embedding // buffer into the Lookup function's output tensor. // // The output tensor will have the shape [B=1, T=tokens.size(), ...] so the // number of bytes that are read from this embedding_buffer per special token // is equal to the product of all the output_tensor dimensions starting with // the 2nd dimension (ie. if the shape of the output tensor is [1, 2, 4, 32], // the number of bytes read from embedding_buffer per special_token is // 4 * 32 = 128). static absl::StatusOr> Create( const ::litert::TensorBuffer* embedding_buffer, int special_token); // 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. absl::Status LookupDecode(int token, std::vector& output_vector) override; // For a given token, looks up the embedding and stores it in the // output tensor. absl::Status LookupDecode(int token, litert::TensorBuffer* output_tensor) override; // 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. // // If the token is not the special token, then this function will return // without copying any data. // // 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 TensorBuffer to store the result in. absl::Status LookupPrefill(int token, std::vector& output_vector) override; // For a given list of tokens, looks up the embeddings, concatenates them and // returns the result through the output tensor. // // This function supports the case where the output tensor's 0th dimension is // of size 1, its 1st dimension is greater than or equal to tokens.size(), and // its subsequent dimensions match the dimensions of the embedding output. In // other words, if the embedding output is [B=1, T=1, ...], then the output // tensor must be [1, >=tokens.size(), ...]. // // 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. absl::Status LookupPrefill(absl::Span tokens, litert::TensorBuffer* output_tensor, size_t byte_offset) override; // Returns true if there are any embeddings left to be read. bool HasRemainingEmbeddings() const { return embedding_.size() > 0; } protected: absl::Status Initialize(const ::litert::TensorBuffer* embedding_buffer, int special_token); absl::Span embedding_; int special_token_; }; } // namespace litert::lm #endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_MULTI_MODAL_H_