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construct/include/ircd/gpt/opts.h

136 lines
3.1 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_OPTS_H
/// Task Options Page
///
/// The option block is directly shared with task software as constant data.
/// This stucture and its mutable companion in `task.h` determine the outcome
/// of the next execution cycle; options are immutable to device software but
/// may be changed by the host between executions cycles if desired.
///
struct ircd_gpt_opts
{
#ifdef __cplusplus
ircd_gpt_opts(const ircd::gpt::model::decoder * = nullptr) noexcept;
#endif
/// Reference to the model (currently not available in device software).
#ifndef __cplusplus
const void *model;
#else
const ircd::gpt::model::decoder *model;
#endif
/// Seed for the task's PRNG.
ulong seed;
/// Limit number of output tokens. Default of -1 is unlimited; the number
/// of tokens generated will be limited by other factors.
uint limit;
/// Flip random coins over the top k logits each round. Setting to 1
/// deterministically selects the top logit.
uint top_k;
/// Flip a random coin between 0 and top_p ( = 90 = 0.9) for logit select.
uint top_p;
/// Registers the top n result logits in the ctrl block each cycle.
uint top_n;
/// Number of target labels to register results for in the ctrl block.
uint labels;
/// Bitbar toggling various debug modes
uint debug;
/// Specifies the token context size in tokens.
uint context_tokens;
/// Specifies the token buffer size in tokens.
uint buffer_tokens;
/// Decoding layers.
uint layers;
/// SIMD lane count.
uint lanes;
/// Embedding vector elements
uint embed_elems;
/// Cross-attention dimension
uint attn_rank;
/// Attention unit fcon width multiple
uint attn_mult;
/// (computed) MLP unit fcon width multiple
uint ffnn_mult;
/// (computed) attention unit width multiple
uint attn_elems;
/// FFNN unit width multiple
uint ffnn_elems;
/// SIMD lane count
uint lanes;
/// (computed) `embed_elems` / `lanes`
uint embed_width;
/// (computed) Attention unit X dimension
uint attn_width;
/// (computed) Attention unit Y dimension
uint attn_height;
/// (computed) MLP backend X dimension
uint ffnn_width;
/// (computed) MLP backend Y dimension
uint ffnn_height;
/// Number of possible target n-grams.
uint logits;
/// Training steps
uint training_steps;
/// Validation steps
uint validation_steps;
/// Testing steps
uint testing_steps;
/// Learning rate
float alpha;
/// Decay rate
float beta[2];
/// Denorm smoothing
float epsilon;
}
__attribute__((aligned(4096)));
#ifdef __cplusplus
namespace ircd::gpt
{
using opts = ::ircd_gpt_opts;
}
static_assert(sizeof(struct ircd_gpt_opts) == 4096);
static_assert(std::is_standard_layout<struct ircd_gpt_opts>::value);
#endif