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b256736986
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* allow updating remote model api_key * add nullptr checks and unique_lock * refactor field updation flow * Revert "refactor field updation flow" This reverts commit a6a9847be80ce3d8cee7ea944f5e9453091a949f. * refactor api_key updation flow * add locks in remote embedder, update api_key after validation * fix parsing of embed field * fix wrong params and parse * update minor changes, update entry in text_embedders * add comment * update embeded_fields with new api_key * add lock for updating embedded fields --------- Co-authored-by: Kishore Nallan <kishorenc@gmail.com>
58 lines
2.2 KiB
C++
58 lines
2.2 KiB
C++
#pragma once
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#include <sentencepiece_processor.h>
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#include <core/session/onnxruntime_cxx_api.h>
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#include <tokenizer/bert_tokenizer.hpp>
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#include <vector>
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#include "option.h"
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#include "text_embedder_tokenizer.h"
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#include "text_embedder_remote.h"
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class TextEmbedder {
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public:
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// Constructor for local or public models
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TextEmbedder(const std::string& model_path);
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// Constructor for remote models
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TextEmbedder(const nlohmann::json& model_config, size_t num_dims, const bool has_custom_dims = false);
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~TextEmbedder();
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embedding_res_t Embed(const std::string& text, const size_t remote_embedder_timeout_ms = 30000, const size_t remote_embedding_num_tries = 2);
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std::vector<embedding_res_t> batch_embed(const std::vector<std::string>& inputs, const size_t remote_embedding_batch_size = 200,
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const size_t remote_embedding_timeout_ms = 60000, const size_t remote_embedding_num_tries = 2);
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const std::string& get_vocab_file_name() const;
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const size_t get_num_dim() const;
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bool is_remote() {
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return remote_embedder_ != nullptr;
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}
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Option<bool> validate();
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std::shared_ptr<Ort::Session> get_session() {
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return session_;
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}
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std::shared_ptr<Ort::Env> get_env() {
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return env_;
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}
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const TokenizerType get_tokenizer_type() {
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return tokenizer_->get_tokenizer_type();
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}
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bool update_remote_embedder_apikey(const std::string& api_key) {
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return remote_embedder_->update_api_key(api_key);
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}
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private:
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std::shared_ptr<Ort::Session> session_;
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std::shared_ptr<Ort::Env> env_;
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encoded_input_t Encode(const std::string& text);
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batch_encoded_input_t batch_encode(const std::vector<std::string>& inputs);
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std::unique_ptr<TextEmbeddingTokenizer> tokenizer_;
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std::unique_ptr<RemoteEmbedder> remote_embedder_;
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std::string vocab_file_name;
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static std::vector<float> mean_pooling(const std::vector<std::vector<float>>& input, const std::vector<int64_t>& attention_mask);
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std::string output_tensor_name;
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size_t num_dim;
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std::mutex mutex_;
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};
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