llama : more tokenizer fixes (#2810)
* tests : write a Python tokenizer test (wip) * llama : prefix input text for tokenization with whitespace * llama : distinguish pieces from decoded text + fix detokenization * common : add comments * examples : no longer manually add leading space when tokenizing * tests : use Python to generate tokenizer tests for C++ * tests : add option to tokenize text files ggml-ci * tests : add test-tokenizer-1.py * llama.cpp : fix LF token * hellaswag : move the concat space for clarity * tests : add falcon tests (py + cpp, currently do not pass Unicode) ggml-ci * common : temporary separate llama_detokenize calls for SPM and BPE --------- Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
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@ -116,11 +116,31 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
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// Vocab utils
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//
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// tokenizes a string into a vector of tokens
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// should work similar to Python's `tokenizer.encode`
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std::vector<llama_token> llama_tokenize(
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struct llama_context * ctx,
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const std::string & text,
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bool add_bos);
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std::string llama_token_to_str(
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// tokenizes a token into a piece
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// should work similar to Python's `tokenizer.id_to_piece`
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std::string llama_token_to_piece(
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const struct llama_context * ctx,
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llama_token token);
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// TODO: these should be moved in llama.h C-style API under single `llama_detokenize` function
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// that takes into account the tokenizer type and decides how to handle the leading space
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//
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// detokenizes a vector of tokens into a string
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// should work similar to Python's `tokenizer.decode`
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// removes the leading space from the first non-BOS token
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std::string llama_detokenize_spm(
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llama_context * ctx,
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const std::vector<llama_token> & tokens);
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// detokenizes a vector of tokens into a string
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// should work similar to Python's `tokenizer.decode`
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std::string llama_detokenize_bpe(
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llama_context * ctx,
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const std::vector<llama_token> & tokens);
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