LLamaSharp/LLama/Batched/Conversation.cs

301 lines
10 KiB
C#

using System;
using System.Collections.Generic;
using LLama.Native;
namespace LLama.Batched;
/// <summary>
/// A single conversation thread that can be prompted (adding tokens from the user) or inferred (extracting a token from the LLM)
/// </summary>
public sealed class Conversation
: IDisposable
{
private ulong _requiredEpoch;
private LLamaPos _end;
private int _batchIndex;
private bool _disposed;
/// <summary>
/// The executor which this conversation belongs to
/// </summary>
public BatchedExecutor Executor { get; }
/// <summary>
/// Unique ID for this conversation
/// </summary>
public LLamaSeqId ConversationId { get; }
/// <summary>
/// Total number of tokens in this conversation, cannot exceed the context length.
/// </summary>
public int TokenCount => _end.Value;
/// <summary>
/// Indicates if this conversation has been disposed, nothing can be done with a disposed conversation
/// </summary>
public bool IsDisposed => _disposed || Executor.IsDisposed;
/// <summary>
/// Indicates if this conversation is waiting for inference to be run on the executor. "Prompt" and "Sample" cannot be called when this is true.
/// </summary>
public bool RequiresInference => _requiredEpoch > Executor.Epoch;
/// <summary>
/// Indicates that this conversation should be sampled.
/// </summary>
public bool RequiresSampling => _requiredEpoch == Executor.Epoch;
#region construction/destruction
internal Conversation(BatchedExecutor batch, LLamaSeqId id, LLamaPos end)
{
ConversationId = id;
Executor = batch;
_end = end;
}
/// <summary>
/// Finalizer for Conversation
/// </summary>
~Conversation()
{
Dispose();
}
/// <summary>
/// End this conversation, freeing all resources used by it
/// </summary>
/// <exception cref="ObjectDisposedException"></exception>
public void Dispose()
{
if (IsDisposed)
return;
_disposed = true;
// Remove this conversation from the KV cache
Executor.Context.NativeHandle.KvCacheRemove(ConversationId, 0, _end);
// Prevent finalizer from running
GC.SuppressFinalize(this);
}
private void AssertNotDisposed()
{
if (Executor.IsDisposed)
throw new ObjectDisposedException(nameof(BatchedExecutor));
if (IsDisposed)
throw new ObjectDisposedException(nameof(Conversation));
}
#endregion
/// <summary>
/// Create a copy of the current conversation
/// </summary>
/// <remarks>The copy shares internal state, so consumes very little extra memory.</remarks>
/// <returns></returns>
/// <exception cref="ObjectDisposedException"></exception>
public Conversation Fork()
{
AssertNotDisposed();
if (RequiresInference)
throw new CannotForkWhileRequiresInferenceException();
// Create a new conversation which references the current position in this one
var c = new Conversation(Executor, Executor.GetNextSequenceId(), _end)
{
_batchIndex = _batchIndex,
_requiredEpoch = _requiredEpoch,
};
// Assign tokens to the new sequence
NativeApi.llama_kv_cache_seq_cp(Executor.Context.NativeHandle, ConversationId, c.ConversationId, 0, _end);
return c;
}
#region sample
/// <summary>
/// Get the logits from this conversation, ready for sampling
/// </summary>
/// <returns></returns>
/// <exception cref="ObjectDisposedException"></exception>
/// <exception cref="CannotSampleRequiresPromptException">Thrown if this conversation was not prompted before the previous call to infer</exception>
/// <exception cref="CannotSampleRequiresInferenceException">Thrown if Infer() must be called on the executor</exception>
public Span<float> Sample()
{
AssertNotDisposed();
if (_requiredEpoch < Executor.Epoch)
throw new CannotSampleRequiresPromptException();
if (_requiredEpoch > Executor.Epoch)
throw new CannotSampleRequiresInferenceException();
return Executor.Context.NativeHandle.GetLogitsIth(_batchIndex);
}
#endregion
#region prompt
private void AssertCanBePrompted()
{
AssertNotDisposed();
if (RequiresInference)
throw new AlreadyPromptedConversationException();
}
/// <summary>
/// Add tokens to this conversation
/// </summary>
/// <param name="input"></param>
/// <returns></returns>
public void Prompt(string input)
{
AssertCanBePrompted();
Prompt(Executor.Context.Tokenize(input));
}
/// <summary>
/// Add tokens to this conversation
/// </summary>
/// <param name="tokens"></param>
/// <returns></returns>
/// <exception cref="ObjectDisposedException"></exception>
public void Prompt(IReadOnlyList<LLamaToken> tokens)
{
AssertCanBePrompted();
// No point doing anything if there is no actual prompt!
if (tokens.Count == 0)
return;
// Add the prompt to the batch
for (var i = 0; i < tokens.Count; i++)
_batchIndex = Executor.Batch.Add(tokens[i], _end++, ConversationId, i == tokens.Count - 1);
// Mark this conversation as needing inference/sampling
_requiredEpoch = Executor.Epoch + 1;
}
/// <summary>
/// Add a single token to this conversation
/// </summary>
/// <param name="token"></param>
/// <returns></returns>
/// <exception cref="ObjectDisposedException"></exception>
/// <exception cref="InvalidOperationException"></exception>
public void Prompt(LLamaToken token)
{
AssertCanBePrompted();
// Add this token as input
_batchIndex = Executor.Batch.Add(token, _end++, ConversationId, true);
// Mark this conversation as needing inference/sampling
_requiredEpoch = Executor.Epoch + 1;
}
#endregion
#region modify
/// <summary>
/// Directly modify the KV cache of this conversation
/// </summary>
/// <param name="modifier"></param>
/// <exception cref="CannotModifyWhileRequiresInferenceException">Thrown if this method is called while <see cref="Conversation.RequiresInference"/> == true</exception>
public void Modify(ModifyKvCache modifier)
{
AssertNotDisposed();
if (RequiresInference)
throw new CannotModifyWhileRequiresInferenceException();
// do whatever the modification is
_end = modifier.Invoke(_end, new KvAccessor(this));
// Set the epoch down to zero, this ensures that this conversation
// cannot be sampled until it is prompted again.
_requiredEpoch = 0;
}
/// <summary>
/// Provides direct access to the KV cache of a <see cref="Conversation"/>.
/// See <see cref="Modify"/> for how to use this.
/// </summary>
public readonly ref struct KvAccessor
{
private readonly Conversation _conversation;
internal KvAccessor(Conversation conversation)
{
_conversation = conversation;
}
#region remove
/// <summary>
/// Removes all tokens that have positions in [start, end)
/// </summary>
/// <param name="start">Start position (inclusive)</param>
/// <param name="end">End position (exclusive)</param>
public void Remove(LLamaPos start, LLamaPos end)
{
_conversation.Executor.Context.NativeHandle.KvCacheRemove(_conversation.ConversationId, start, end);
}
/// <summary>
/// Removes all tokens starting from the given position
/// </summary>
/// <param name="start">Start position (inclusive)</param>
/// <param name="count">Number of tokens</param>
public void Remove(LLamaPos start, int count)
{
if (count <= 0)
return;
var end = start.Value + count;
_conversation.Executor.Context.NativeHandle.KvCacheRemove(_conversation.ConversationId, start, end);
}
#endregion
#region shift
/// <summary>
/// Adds relative position "delta" to all tokens that have positions in [p0, p1).
/// If the KV cache is RoPEd, the KV data is updated
/// accordingly
/// </summary>
/// <param name="start">Start position (inclusive)</param>
/// <param name="end">End position (exclusive)</param>
/// <param name="delta">Amount to add on to each token position</param>
public void Add(LLamaPos start, LLamaPos end, int delta)
{
_conversation.Executor.Context.NativeHandle.KvCacheSequenceAdd(_conversation.ConversationId, start, end, delta);
}
#endregion
#region divide
/// <summary>
/// Integer division of the positions by factor of `d > 1`.
/// If the KV cache is RoPEd, the KV data is updated accordingly.
/// </summary>
/// <param name="start">Start position (inclusive). If less than zero, it is clamped to zero.</param>
/// <param name="end">End position (exclusive). If less than zero, it is treated as "infinity".</param>
/// <param name="divisor">Amount to divide each position by.</param>
public void Divide(LLamaPos start, LLamaPos end, int divisor)
{
if (divisor <= 0)
throw new ArgumentOutOfRangeException(nameof(divisor));
_conversation.Executor.Context.NativeHandle.KvCacheSequenceDivide(_conversation.ConversationId, start, end, divisor);
}
#endregion
}
/// <summary>
/// A function which can temporarily access the KV cache of a <see cref="Conversation"/> to modify it directly
/// </summary>
/// <param name="end">The current end token of this conversation</param>
/// <param name="kv">An <see cref="KvAccessor"/> which allows direct access to modify the KV cache</param>
/// <returns>The new end token position</returns>
public delegate LLamaPos ModifyKvCache(LLamaPos end, KvAccessor kv);
#endregion
}