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https://github.com/ikawrakow/ik_llama.cpp.git
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0ceeb11721
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
21 lines
582 B
C++
21 lines
582 B
C++
#pragma once
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#include <cstdint>
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#include <vector>
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#include <unordered_map>
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#include <unordered_set>
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struct range_nfd {
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uint32_t first;
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uint32_t last;
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uint32_t nfd;
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};
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static const uint32_t MAX_CODEPOINTS = 0x110000;
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extern const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags;
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extern const std::unordered_set<uint32_t> unicode_set_whitespace;
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extern const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase;
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extern const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase;
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extern const std::vector<range_nfd> unicode_ranges_nfd;
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