0
0
Fork 0
mirror of https://github.com/matrix-construct/construct synced 2024-12-01 19:22:53 +01:00
construct/ircd/gpt_vocab.cc
2021-03-09 04:50:19 -08:00

764 lines
17 KiB
C++
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

// Tensor Construct
//
// Copyright (C) Matrix Construct Developers, Authors & Contributors
// Copyright (C) 2016-2021 Jason Volk <jason@zemos.net>
//
// Permission to use, copy, modify, and/or distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice is present in all copies. The
// full license for this software is available in the LICENSE file.
namespace ircd::gpt::vocab
{
static u16 find_token(const u8x16);
static u16 find_merge(const u8x16, const u8x16);
static u16 bpe_score(u16 (&)[16], const u8x16 (&)[16][2], const uint);
static uint bpe_merge(u8x16 (&)[16][2], u16 (&)[16], const uint, const u16);
static uint bpe_postpare(u8x16 (&)[16], const u8x16 (&)[16][2], const uint);
static uint bpe_prepare(u8x16 (&)[16][2], const u8x16);
static uint bpe_tokenize(u8x16 (&)[16], const u8x16);
static u64x2 pre_tokenize_split(u8x16 (&)[16], u32x16, u32x16, u32x16);
static u64x2 pre_tokenize(u8x16 (&)[16], const u8x16, const u8x16);
static u64x2 unk_tokenize(u16x16 &, const u8x16, u64);
static u64x2 tokenize_block(u16x16 &, const u8x16, const u8x16) noexcept;
static void init_tokens(), init_merges();
[[gnu::visibility("internal")]]
extern const char32_t charset[256];
}
/// Remapping of single byte characters (Control (C0) and Basic Latin (ASCII)).
decltype(ircd::gpt::vocab::charset)
ircd::gpt::vocab::charset
alignas(64)
{
U'Ā', U'ā', U'Ă', U'ă', U'Ą', U'ą', U'Ć', U'ć', // [0x07]
U'Ĉ', U'ĉ', U'Ċ', U'ċ', U'Č', U'č', U'Ď', U'ď', // [0x0F]
U'Đ', U'đ', U'Ē', U'ē', U'Ĕ', U'ĕ', U'Ė', U'ė', // [0x17]
U'Ę', U'ę', U'Ě', U'ě', U'Ĝ', U'ĝ', U'Ğ', U'ğ', // [0x1F]
U'Ġ', U'!', U'"', U'#', U'$', U'%', U'&', U'\'', // [0x27]
U'(', U')', U'*', U'+', U',', U'-', U'.', U'/', // [0x2F]
U'0', U'1', U'2', U'3', U'4', U'5', U'6', U'7', // [0x37]
U'8', U'9', U':', U';', U'<', U'=', U'>', U'?', // [0x3F]
U'@', U'A', U'B', U'C', U'D', U'E', U'F', U'G', // [0x47]
U'H', U'I', U'J', U'K', U'L', U'M', U'N', U'O', // [0x4F]
U'P', U'Q', U'R', U'S', U'T', U'U', U'V', U'W', // [0x57]
U'X', U'Y', U'Z', U'[', U'\\', U']', U'^', U'_', // [0x5F]
U'`', U'a', U'b', U'c', U'd', U'e', U'f', U'g', // [0x67]
U'h', U'i', U'j', U'k', U'l', U'm', U'n', U'o', // [0x6F]
U'p', U'q', U'r', U's', U't', U'u', U'v', U'w', // [0x77]
U'x', U'y', U'z', U'{', U'|', U'}', U'~', U'ġ', // [0x7F]
U'Ģ', U'ģ', U'Ĥ', U'ĥ', U'Ħ', U'ħ', U'Ĩ', U'ĩ', // [0x87]
U'Ī', U'ī', U'Ĭ', U'ĭ', U'Į', U'į', U'İ', U'ı', // [0x8F]
U'IJ', U'ij', U'Ĵ', U'ĵ', U'Ķ', U'ķ', U'ĸ', U'Ĺ', // [0x97]
U'ĺ', U'Ļ', U'ļ', U'Ľ', U'ľ', U'Ŀ', U'ŀ', U'Ł', // [0x9F]
U'ł', U'¡', U'¢', U'£', U'¤', U'¥', U'¦', U'§', // [0xA7]
U'¨', U'©', U'ª', U'«', U'¬', U'Ń', U'®', U'¯', // [0xAF]
U'°', U'±', U'²', U'³', U'´', U'µ', U'', U'·', // [0xB7]
U'¸', U'¹', U'º', U'»', U'¼', U'½', U'¾', U'¿', // [0xBF]
U'À', U'Á', U'Â', U'Ã', U'Ä', U'Å', U'Æ', U'Ç', // [0xC7]
U'È', U'É', U'Ê', U'Ë', U'Ì', U'Í', U'Î', U'Ï', // [0xCF]
U'Ð', U'Ñ', U'Ò', U'Ó', U'Ô', U'Õ', U'Ö', U'×', // [0xD7]
U'Ø', U'Ù', U'Ú', U'Û', U'Ü', U'Ý', U'Þ', U'ß', // [0xDF]
U'à', U'á', U'â', U'ã', U'ä', U'å', U'æ', U'ç', // [0xE7]
U'è', U'é', U'ê', U'ë', U'ì', U'í', U'î', U'ï', // [0xEF]
U'ð', U'ñ', U'ò', U'ó', U'ô', U'õ', U'ö', U'÷', // [0xF7]
U'ø', U'ù', U'ú', U'û', U'ü', U'ý', U'þ', U'ÿ', // [0xFF]
};
decltype(ircd::gpt::vocab::tokens)
ircd::gpt::vocab::tokens;
decltype(ircd::gpt::vocab::merges)
ircd::gpt::vocab::merges;
decltype(ircd::gpt::vocab::token)
ircd::gpt::vocab::token
alignas(64);
decltype(ircd::gpt::vocab::merge)
ircd::gpt::vocab::merge
alignas(64);
decltype(ircd::gpt::vocab::tokens_path)
ircd::gpt::vocab::tokens_path
{
{
{ "name", "ircd.gpt.vocab.tokens.path" },
{ "default", string_view{} },
},
init_tokens
};
decltype(ircd::gpt::vocab::merges_path)
ircd::gpt::vocab::merges_path
{
{
{ "name", "ircd.gpt.vocab.merges.path" },
{ "default", string_view{} },
},
init_merges
};
void
ircd::gpt::vocab::init_tokens()
{
if(!tokens_path)
return;
const ircd::fs::fd file
{
string_view{tokens_path}
};
const ircd::fs::map vocab_json
{
file, ircd::fs::map::opts{}
};
tokens = 0;
for(const auto &[key, val] : json::object(vocab_json))
{
assert(tokens == lex_cast<uint16_t>(val));
json::unescape(token[tokens++], key);
}
}
void
ircd::gpt::vocab::init_merges()
{
if(!merges_path)
return;
const ircd::fs::fd file
{
string_view{merges_path}
};
const ircd::fs::map merges_txt
{
file, ircd::fs::map::opts{}
};
merges = 0;
ircd::tokens(split(merges_txt, '\n').second, '\n', []
(const string_view &line)
{
const auto &[a, b]
{
split(line, ' ')
};
copy(merge[merges][0], a);
copy(merge[merges][1], b);
++merges;
});
}
ircd::string_view
ircd::gpt::vocab::debug(const mutable_buffer &out,
const u16 idx)
{
const auto *const token
{
reinterpret_cast<const u8x16 *>(vocab::token)
};
thread_local char strbuf[2][512];
return string_view{fmt::sprintf
{
out, "%5u %s [%32s]",
idx,
simd::print_mem(strbuf[0], token[idx]),
simd::print_chr(strbuf[1], token[idx]),
}};
}
//
// detokenize
//
ircd::string_view
ircd::gpt::vocab::detokenize(const mutable_buffer &out,
const vector_view<const u16> &in)
{
size_t off(0);
for(const u16 &id : in)
{
const auto &token
{
vocab::token[id]
};
const string_view text
{
token, strnlen(token, 16)
};
string_view dest
{
data(out + off), copy(out + off, text)
};
dest = replace(out + off, dest, "Ġ"_sv, " "_sv);
dest = replace(out + off, dest, "Ċ"_sv, "\n"_sv);
off += size(dest);
}
assert(off <= size(out));
return string_view
{
data(out), off
};
}
//
// tokenize
//
ircd::vector_view<ircd::u16>
ircd::gpt::vocab::tokenize(const vector_view<u16> &out,
const string_view &in)
{
using input_t = u8x16;
using block_t = u16x16;
assert(out.size() >= simd::lanes<block_t>());
const u64x2 max
{
out.size(), in.size(),
};
const auto block
{
reinterpret_cast<block_t *>(out.data())
};
const auto consumed
{
simd::tokens<input_t, block_t>(block, in.data(), max, gpt::vocab::tokenize_block)
};
assert(consumed[0] <= out.size());
assert(consumed[0] <= consumed[1]);
return vector_view<u16>
(
out.data(), consumed[0]
);
}
ircd::u64x2
ircd::gpt::vocab::tokenize_block(u16x16 &token,
const u8x16 in,
const u8x16 in_mask)
noexcept
{
u8x16 pre_token[16];
const auto &[pre_tokens, consumed]
{
pre_tokenize(pre_token, in, in_mask)
};
u64x2 ret
{
0, consumed
};
for(uint i(0); i < pre_tokens && ret[0] < 16; ++i)
{
// one token in hand is worth two in the bpe
if(likely((token[ret[0]] = find_token(pre_token[i])) != u16(-1)))
{
++ret[0];
continue;
}
u8x16 str[16];
const uint strs
{
bpe_tokenize(str, pre_token[i])
};
for(uint j(0); j < strs && ret[0] < 16; ++j)
{
if(likely((token[ret[0]] = find_token(str[j])) != u16(-1)))
{
++ret[0];
continue;
}
ret += unk_tokenize(token, str[j], ret[0]);
}
}
return ret;
}
//
// pre-tokenizer
//
/// Pre-tokenizationis formalized by the regular expression:
///
/// 's|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+
///
/// The return value in [0] indicates the number of tokens populated in the
/// array; the value in [1] indicates the bytes consumed from the input.
///
ircd::u64x2
ircd::gpt::vocab::pre_tokenize(u8x16 (&token)[16],
const u8x16 in,
const u8x16 in_mask)
{
const u8x16 is_ascii_ctrl
(
in < 0x20
);
const u8x16 is_ascii_space
(
in == ' '
);
const u8x16 is_ascii_number
(
in >= '0' && in <= '9'
);
const u8x16 is_ascii_letter
(
(in >= 'a' && in <= 'z') || (in >= 'A' && in <= 'Z')
);
const u8x16 ascii_identified
(
is_ascii_ctrl | is_ascii_space | is_ascii_number | is_ascii_letter
);
const u8x16 maybe_notascii
(
~ascii_identified & in_mask
);
const u32x16 ch
(
utf8::decode(in)
);
const u32x16 uc_cat
(
icu::category(ch & (lane_cast<u32x16>(maybe_notascii) != 0))
);
const u32x16 is_L
(0
| ((uc_cat & 0x0000003eU) != 0)
| (lane_cast<u32x16>(is_ascii_letter) != 0)
);
const u32x16 is_N
(0
| ((uc_cat & 0x00000e00U) != 0)
| (lane_cast<u32x16>(is_ascii_number) != 0)
);
const u32x16 is_Z
(0
| ((uc_cat & 0x00007000U) != 0)
| (lane_cast<u32x16>(is_ascii_space) != 0)
);
const u32x16 is_C0
(0
| (lane_cast<u32x16>(is_ascii_ctrl) != 0)
);
const u32x16 is_trail
(0
| (is_L & shl<32>(is_L))
| (is_N & shl<32>(is_N))
| (is_Z & shl<32>(is_Z))
);
const u32x16 fat_mask
(
lane_cast<u32x16>(in_mask) != 0
);
const u32x16 is_head
(
(~is_trail | is_C0) & fat_mask
);
// mask if token is preceded by a space
const u32x16 leading_space
(
is_head & shl<32>(is_Z)
);
// zero or one preceding space becomes prefixed to the next token
const u32x16 tok_head
(0
| (is_head & ~leading_space)
| shr<32>(leading_space)
);
const u32x16 tok_trail
(
~tok_head
);
const u32x16 tok_mask
(
tok_trail
);
const auto ret
{
pre_tokenize_split(token, ch, fat_mask, tok_mask)
};
return ret;
}
/// Split single vector of UTF-32 codepoints into vectors of UTF-8 strings for
/// each token determined by the input masks. Returns the number of tokens in
/// [0] and the number of codepoints consumed in [1].
ircd::u64x2
ircd::gpt::vocab::pre_tokenize_split(u8x16 (&token)[16],
u32x16 ch,
u32x16 ch_mask,
u32x16 tok_mask)
{
// Replace single-byte codepoints from the LUT.
u32x16 rch;
for(uint i(0); i < 16; ++i)
rch[i] = ch[i] > 0xFF?
ch[i]: charset[ch[i]];
u64x2 ret {0, 0};
for(uint i(0); ret[0] >= i && ret[1] < 16; ++i)
{
static const u32x16 lane0_mask
{
-1U
};
// Create a mask from all non-leading characters of input tokens with
// a mask of just the leading character of the first token. To be sure
// extra characters are not included we rinse it with the ch_mask.
const u32x16 cover_mask
(
(lane0_mask | tok_mask) & ch_mask
);
// Get the number of codepoints of the first token from the cover.
const auto cp_num
{
std::min(simd::lzcnt(~cover_mask) / 32UL, 16UL)
};
// Input codepoint lengths
const u32x16 cp_len
(
utf8::length(ch & cover_mask)
);
// Output codepoint lengths
const u32x16 rcp_len
(
utf8::length(rch & cover_mask)
);
// Generate utf-8 codepoints
const u8x64 rch8
(
utf8::encode(rch & cover_mask)
);
u32x16 idx;
uint off(0); // result bytes of utf-8
for(uint j(0); j < cp_num; off += rcp_len[j++])
idx[j] = off;
uint len(0); // input bytes of utf-8
for(uint j(0); j < cp_num; ++j)
len += cp_len[j];
// When the first token is too large, we truncate that token here and
// return, effectively splitting the token into multiple. If the token
// after the first is too large (input potentially spans into the next
// block), we kick it to the next iteration entirely.
assert(ret[1] <= 16);
const auto skip
{
boolmask<u64>(ret[1] + off >= 16 && i > 0)
};
// We have to return the proper number of bytes for what was truncated
// from the input, but the truncation is determined after a transform
// which may have a different size; this has to be offset back now.
if(!skip && ret[1] + off > 16)
{
assert(off >= len);
len -= (off - len);
}
// Pack the utf-8 codepoints into the result token
token[i] = {0};
for(uint j(0); j < cp_num; ++j)
for(uint k(0); k < rcp_len[j] && idx[j] + k < 16; ++k)
token[i][idx[j] + k] = rch8[j * 4 + k];
// Shift the token off the input to consume the next.
for(uint j(0); j < cp_num; ++j)
{
ch = shr<32>(ch);
rch = shr<32>(rch);
ch_mask = shr<32>(ch_mask);
tok_mask = shr<32>(tok_mask);
}
ret[0] += !skip && len;
ret[1] += ~skip & len;
}
return ret;
}
[[gnu::noinline]]
ircd::u64x2
ircd::gpt::vocab::unk_tokenize(u16x16 &token,
const u8x16 str,
const u64 num)
{
u64 tokens(0), consumed(0);
const auto len(simd::strlen(str));
while(consumed < len && num + tokens < 16)
for(uint i(0); i < len; ++i)
{
u8x16 s(str);
for(uint j(0); j < consumed; ++j)
s = shr<8>(s);
for(uint j(len - i); j < 16; ++j)
s[j] = 0;
if((token[num + tokens] = find_token(s)) != u16(-1))
{
consumed += len - i;
++tokens;
break;
}
}
assert(len >= consumed);
assert(num + tokens <= 16);
const auto overflow{len - consumed};
assert(overflow == 0 || num + tokens == 16);
return u64x2
{
tokens, 0
};
}
//
// byte-pair encoding
//
[[gnu::noinline]]
uint
ircd::gpt::vocab::bpe_tokenize(u8x16 (&str)[16],
const u8x16 pre_token)
{
if(simd::strlen(pre_token) < 2)
{
str[0] = pre_token;
return 1;
}
u8x16 pair[16][2];
auto pairs
{
bpe_prepare(pair, pre_token)
};
u16 score[16] {0};
for(uint j(0); j < 16 && pairs > 1; ++j)
{
const auto best_score
{
bpe_score(score, pair, pairs)
};
const auto merges
{
bpe_merge(pair, score, pairs, best_score)
};
pairs -= merges;
if(!merges)
break;
}
const uint strs
{
bpe_postpare(str, pair, pairs)
};
return strs;
}
uint
ircd::gpt::vocab::bpe_prepare(u8x16 (&out)[16][2],
const u8x16 in)
{
const auto len
{
simd::strlen(in)
};
const u32x16 cplen
(
utf8::length(utf8::decode(in))
);
u32x16 idx;
for(uint i(0), off(0); i < 16; off += cplen[i++])
idx[i] = off;
uint ret(0);
for(uint phase(0); phase < 2; ++phase)
for(uint i(phase); i < 16; i += 2, ++ret)
{
if(idx[i] >= 16 || !in[idx[i]])
break;
out[i][0] = {0};
out[i][1] = {0};
for(uint k(0); k < 2; ++k)
for(uint j(0); j < cplen[i + k] && idx[i + k] + j < 16; ++j)
out[i][k][j] = in[idx[i + k] + j];
}
return ret;
}
uint
ircd::gpt::vocab::bpe_postpare(u8x16 (&out)[16],
const u8x16 (&in)[16][2],
const uint num)
{
uint ret(0);
for(uint j(0); j < num; ++j)
if(simd::strlen(in[j][0]))
out[ret++] = in[j][0];
if(likely(num))
if(simd::strlen(in[num - 1][1]))
out[ret++] = in[num - 1][1];
return ret;
}
uint
ircd::gpt::vocab::bpe_merge(u8x16 (&pair)[16][2],
u16 (&score)[16],
const uint num,
const u16 best_score)
{
uint ret(0);
for(uint i(0); i < num - ret; ++i)
{
if(score[i] != best_score)
continue;
pair[i][0] = simd::strcat(pair[i][0], pair[i][1]);
score[i] = 0;
if(i > 0)
{
pair[i - 1][1] = simd::strcat(pair[i - 1][1], pair[i][1]);
score[i - 1] = 0;
}
if(i < 15)
pair[i][1] = pair[i + 1][1];
for(uint j(i + 1); j + 1 < num; ++j)
{
pair[j][0] = pair[j + 1][0];
pair[j][1] = pair[j + 1][1];
score[j] = score[j + 1];
}
++ret;
}
return ret;
}
ircd::u16
ircd::gpt::vocab::bpe_score(u16 (&score)[16],
const u8x16 (&pair)[16][2],
const uint num)
{
uint best(-1U), is_min;
for(uint i(0); i < num; i++)
{
// Only find the merge if the score is set to zero.
if(!score[i])
score[i] = find_merge(pair[i][0], pair[i][1]);
// If the score is set to -1 this index is inactive or wasn't a
// valid pair.
is_min = boolmask<uint>(score[i] != u16(-1));
is_min &= boolmask<uint>(score[i] < best);
best = (is_min & score[i]) | (~is_min & best);
}
return best;
}
//
// queries
//
ircd::u16
ircd::gpt::vocab::find_token(const u8x16 string)
{
const auto *const __restrict__ token
{
reinterpret_cast<const u8x16 *>(vocab::token)
};
for(uint i(0); i < tokens; ++i)
if(simd::streq(string, token[i]))
return i;
return u16(-1U);
}
ircd::u16
ircd::gpt::vocab::find_merge(const u8x16 a,
const u8x16 b)
{
const auto &__restrict__ merge
{
reinterpret_cast<const u8x16 (&)[65536][2]>(vocab::merge)
};
for(uint i(0); i < merges; ++i)
{
if(likely(!simd::streq(a, merge[i][0])))
continue;
if(likely(!simd::streq(b, merge[i][1])))
continue;
return i;
}
return u16(-1U);
}