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119 lines
5.8 KiB
C++
119 lines
5.8 KiB
C++
#pragma once
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#include "engine/community_models/moss_ttsd/assets.h"
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#include "engine/community_models/moss_ttsd/prompt.h"
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#include "engine/framework/decoders/moss_tts_delay/backbone.h"
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#include "engine/framework/decoders/moss_tts_delay/delay_decoder.h"
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#include "engine/framework/decoders/moss_tts_delay/heads.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/codecs/moss_audio_tokenizer_codec_runtime.h"
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#include "engine/framework/modules/multi_codebook_embedding.h"
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#include "engine/framework/runtime/session_base.h"
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#include <cstddef>
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#include <memory>
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#include <optional>
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#include <string>
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namespace engine::models::moss_ttsd {
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// Splits the `voice_samples` option into one entry per speaker, positional:
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// entry i is [S(i+1)], and an entry with no path is a speaker that is NAMED but
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// not cloned, which renders "[S<n>]: None".
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//
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// ⚠ THE ENTRY COUNT IS THE SPEAKER COUNT, trailing separator included. So
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// "a.wav," is two speakers with the second invented, which is the documented way
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// to clone one voice and not the other. An earlier version discarded a trailing
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// blank as a typo, which silently turned exactly that spelling into a
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// single-speaker prompt -- the one case the option exists to express.
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//
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// Declared here rather than kept in the session's anonymous namespace so the
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// rule can be tested without a model.
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std::vector<std::optional<std::string>> parse_speaker_paths(const std::string & value);
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class MossTtsdSession final
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: public runtime::RuntimeSessionBase
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, public runtime::IOfflineVoiceTaskSession {
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public:
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MossTtsdSession(
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runtime::TaskSpec task,
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runtime::SessionOptions options,
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std::shared_ptr<const Assets> assets);
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~MossTtsdSession() override;
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std::string family() const override;
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runtime::VoiceTaskKind task_kind() const override;
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runtime::RunMode run_mode() const override;
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void prepare(const runtime::SessionPreparationRequest & request) override;
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runtime::TaskResult run(const runtime::TaskRequest & request) override;
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private:
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struct GeneratedChunk {
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std::vector<int32_t> codes; // [n_vq, frames] row-major
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int64_t codebooks = 0;
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int64_t frames = 0;
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bool started_audio = false;
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bool hit_frame_ceiling = false;
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};
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// `assistant_audio` present means CONTINUATION: the model is handed the
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// reference recording and carries on from it, which is how this checkpoint
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// clones. Absent means a fresh take with no cloning.
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//
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// There is no duration budget to pass. This checkpoint's "- Tokens:" field is
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// baked to None in its own template, so the ceiling is derived from the text
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// rather than requested.
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GeneratedChunk generate_chunk(
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const PromptFields & fields,
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const std::optional<ReferenceAudio> & assistant_audio,
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const decoders::MossTtsDelaySamplingOptions & sampling,
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uint32_t seed,
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decoders::MossTtsDelayLengthBounds bounds_override,
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int64_t spoken_characters);
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std::vector<float> decode_codes(const GeneratedChunk & chunk);
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// Resamples the caller's recording to the codec rate if needed, then encodes it.
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ReferenceAudio encode_reference(const runtime::AudioBuffer & audio);
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// The speakers' references end to end, in speaker order -- what the assistant
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// turn carries in continuation mode. Concatenated as CODES rather than as
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// waveforms so each speaker is encoded once and the join lands on a frame
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// boundary.
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ReferenceAudio concatenate_references(const std::vector<std::optional<ReferenceAudio>> & speakers) const;
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runtime::TaskSpec task_;
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std::shared_ptr<const Assets> assets_;
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// Native, not BF16: a GGUF package carries its own type, and forcing BF16
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// dequantises it on load, so q4_k and q8_0 cost exactly as much VRAM as bf16
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// and the quantisation buys nothing. Measured on a 3090: q4_k TTS peaks at
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// 21.2 GiB forced to BF16 and 10.6 GiB left native. Safetensors are bf16
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// upstream, so native is the same thing there.
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engine::assets::TensorStorageType weight_storage_type_ = engine::assets::TensorStorageType::Native;
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size_t backbone_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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#if defined(INTPTR_MAX) && (INTPTR_MAX == INT32_MAX)
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size_t backbone_weight_context_bytes_ = 1024ull * 1024ull * 1024ull;
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size_t heads_graph_arena_bytes_ = 256ull * 1024ull * 1024ull;
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size_t heads_weight_context_bytes_ = 1024ull * 1024ull * 1024ull;
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size_t codec_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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size_t codec_weight_context_bytes_ = 1024ull * 1024ull * 1024ull;
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#else
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size_t backbone_weight_context_bytes_ = 8192ull * 1024ull * 1024ull;
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size_t heads_graph_arena_bytes_ = 256ull * 1024ull * 1024ull;
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size_t heads_weight_context_bytes_ = 4096ull * 1024ull * 1024ull;
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// Charged twice -- the codec runtime takes one arena size for the encoder and
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// one for the decoder -- and this model, unlike moss_voicegen, holds both
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// halves resident because cloning encodes a reference. The graphs are small
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// (a few hundred codec frames at 12.5 a second), so moss_voicegen's 2 GiB was
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// 4 GiB of VRAM here for no benefit, and on a 24 GiB card it was the
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// difference between cloning running and failing to allocate the encoder.
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size_t codec_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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size_t codec_weight_context_bytes_ = 4096ull * 1024ull * 1024ull;
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#endif
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// The execution context comes from RuntimeSessionBase; the runtimes below borrow it.
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std::shared_ptr<tokenizers::LlamaBpeTokenizer> tokenizer_;
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std::unique_ptr<engine::modules::MultiCodebookEmbedding> codebooks_;
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std::unique_ptr<decoders::MossTtsDelayBackboneRuntime> backbone_;
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std::unique_ptr<decoders::MossTtsDelayHeadsRuntime> heads_;
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std::unique_ptr<engine::codecs::MossAudioTokenizerCodecRuntime> codec_;
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};
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} // namespace engine::models::moss_ttsd
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