mirror of
https://github.com/matrix-construct/construct
synced 2024-09-28 11:48:54 +02:00
129 lines
2.8 KiB
C++
129 lines
2.8 KiB
C++
// Matrix 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.
|
|
|
|
#pragma once
|
|
#define HAVE_IRCD_GPT_PIPE_MODEL_H
|
|
|
|
struct ircd::gpt::pipe::model
|
|
{
|
|
struct matrix;
|
|
struct tensor;
|
|
struct norm;
|
|
struct proj;
|
|
struct fcon;
|
|
struct attn;
|
|
struct ffnn;
|
|
struct block;
|
|
struct decoder;
|
|
struct language;
|
|
|
|
std::unique_ptr<model::decoder> decode;
|
|
std::unique_ptr<model::language> embed;
|
|
bool invalid {false};
|
|
|
|
model(const gpt::model::decoder &, const gpt::model::embed &);
|
|
model(gpt::model::decoder &, gpt::model::embed &);
|
|
~model() noexcept;
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::matrix
|
|
{
|
|
cl::data
|
|
param, // Weights
|
|
moment[2]; // Adaptive moment estimations
|
|
|
|
matrix(cl::data *, const off_t, const const_buffer ¶m);
|
|
matrix(cl::data *, const off_t, const mutable_buffer ¶m);
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::tensor
|
|
{
|
|
matrix
|
|
bias,
|
|
weight;
|
|
|
|
tensor(cl::data *, const off_t, const const_buffer &bias, const const_buffer &weight);
|
|
tensor(cl::data *, const off_t, const mutable_buffer &bias, const mutable_buffer &weight);
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::attn
|
|
{
|
|
tensor
|
|
norm,
|
|
fcon,
|
|
proj;
|
|
|
|
cl::data
|
|
mask;
|
|
|
|
attn(cl::data *, const off_t, const gpt::model::norm &, const gpt::model::attn &);
|
|
attn(cl::data *, const off_t, gpt::model::norm &, gpt::model::attn &);
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::ffnn
|
|
{
|
|
tensor
|
|
norm,
|
|
fcon,
|
|
proj;
|
|
|
|
ffnn(cl::data *, const off_t, const gpt::model::norm &, const gpt::model::ffnn &);
|
|
ffnn(cl::data *, const off_t, gpt::model::norm &, gpt::model::ffnn &);
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::block
|
|
{
|
|
// Single layer memory roots
|
|
cl::data
|
|
master[3];
|
|
|
|
// Layer units
|
|
model::attn attn;
|
|
model::ffnn ffnn;
|
|
|
|
block(cl::data *, const off_t, const gpt::model::block &, const size_t);
|
|
block(cl::data *, const off_t, gpt::model::block &, const size_t);
|
|
block(const gpt::model::block &, const size_t);
|
|
block(gpt::model::block &, const size_t);
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::language
|
|
{
|
|
cl::data
|
|
master[3];
|
|
|
|
matrix
|
|
pos,
|
|
token;
|
|
|
|
language(cl::data *, const off_t, const gpt::model::embed &);
|
|
language(cl::data *, const off_t, gpt::model::embed &);
|
|
language(const gpt::model::embed &);
|
|
language( gpt::model::embed &);
|
|
~language() noexcept;
|
|
};
|
|
|
|
struct ircd::gpt::pipe::model::decoder
|
|
{
|
|
// Combined-layer memory roots
|
|
cl::data
|
|
master[3];
|
|
|
|
// Layer blocks
|
|
model::block
|
|
block[12];
|
|
|
|
// Final norm
|
|
tensor norm;
|
|
|
|
decoder(const gpt::model::decoder &);
|
|
decoder(gpt::model::decoder &);
|
|
~decoder() noexcept;
|
|
};
|