125 lines
8.2 KiB
Plaintext
125 lines
8.2 KiB
Plaintext
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 97247 MiB):
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Device 0: NVIDIA RTX PRO 6000 Blackwell Workstation Edition, compute capability 12.0, VMM: yes, VRAM: 97247 MiB
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load_backend: loaded CUDA backend from /mnt/workspace/qwentts.cpp/build/libggml-cuda.so
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ggml_vulkan: Found 1 Vulkan devices:
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ggml_vulkan: 0 = NVIDIA RTX PRO 6000 Blackwell Workstation Edition (NVIDIA) | uma: 0 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 49152 | int dot: 1 | matrix cores: NV_coopmat2
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load_backend: loaded Vulkan backend from /mnt/workspace/qwentts.cpp/build/libggml-vulkan.so
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load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-cpu-zen4.so
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[Load] Talker backend: Vulkan0 (CPU threads: 16)
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[GGUF] ../models/qwen-talker-1.7b-customvoice-Q8_0.gguf: 404 tensors, data at offset 5949824
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[WeightCtx] Loaded 316 tensors, 1765.0 MB into backend
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[Talker] Loaded: 28 layers, hidden 2048, heads 16/8, head_dim 128, FFN 6144, RoPE theta 1000000, mrope sections [24,20,20] interleaved=0
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[WeightCtx] Loaded 88 tensors, 177.5 MB into backend
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[CodePredictor] Loaded: 5 layers, hidden 1024, heads 16/8, head_dim 128, FFN 3072, RoPE theta 1000000, 15 acoustic codebooks (vocab 2048 each), mtp_proj linear
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[GGUF] ../models/qwen-tokenizer-12hz-Q8_0.gguf: 398 tensors, data at offset 29760
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[WeightCtx] Loaded 18 tensors, 33.0 MB into backend
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[Quantizer] Loaded: 16 codebooks (1 semantic + 15 acoustic), 2048 entries x 256 dim, hidden 512
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[WeightCtx] Loaded 93 tensors, 30.9 MB into backend
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[Transformer] Loaded: 8 layers, hidden 512, heads 16/16, head_dim 64, FFN 1024, RoPE theta 10000, sliding window 72
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[WeightCtx] Loaded 22 tensors, 33.1 MB into backend
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[Upsample] Loaded: 2 blocks (2x ratio per block), channels 1024, dwconv kernel 7
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[WeightCtx] Loaded 118 tensors, 142.9 MB into backend
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[DAC] Loaded: 4 blocks (strides 8/5/4/3), 24 kHz mono out, weights 142.9 MB
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[WeightCtx] Loaded 2 tensors, 3.0 MB into backend
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[WeightCtx] Loaded 28 tensors, 24.1 MB into backend
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[SEANet] Loaded: 4 stages (ratios 4/5/6/8), 64 -> 512 channels, weights 24.1 MB
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[WeightCtx] Loaded 96 tensors, 25.6 MB into backend
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[EncTransformer] Loaded: 8 layers, hidden 512, heads 8/8, head_dim 64, FFN 2048, RoPE theta 10000
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[WeightCtx] Loaded 1 tensors, 2.0 MB into backend
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[EncDownsample] Loaded: k=4 stride=2, 512 -> 512 channels, weights 2.0 MB
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[WeightCtx] Loaded 20 tensors, 34.0 MB into backend
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[EncQuantizer] Loaded: 16 codebooks (1 semantic + 15 acoustic), 2048 entries x 256 dim, hidden 512, weights 34.0 MB
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[Pipeline] Ready: hop 1920 samples @ 24000 Hz mono, 16 codebooks @ 12.5 Hz
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[KVCache] Allocated: 28 layers, 8 KV heads, head_dim 128, max_seq_len 4096 -> 896 MB
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[KVCache] Allocated: 5 layers, 8 KV heads, head_dim 128, max_seq_len 16 -> 0 MB
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[Pipeline] Loaded: arch=1b7 variant=custom_voice tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=absent speakers=9
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[BPE] Loaded from GGUF: 151676 vocab, 151291 merges, eos_id=151643
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[BPE] Registered 5 arch special tokens (total specials=6)
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[Prompt] Built: 38 ids, N_text=30, N_instruct=0, T_ctx=41, hidden=2048, lang=english (id=2050), speaker=vivian (id=3065) ref_spk_emb=no icl=no
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[Debug] prompt-ids: [38] first4: 151644.000000 77091.000000 198.000000 80.000000
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[Debug] talker-input-embed: [41, 2048] first4: 0.021601 -0.009355 0.007161 -0.019744
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[Debug] trailing-text-hidden: [1, 2048] first4: -0.003786 0.008339 -0.005023 -0.000287
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[Debug] tts-pad-embed: [2048] first4: -0.003786 0.008339 -0.005023 -0.000287
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[Debug] talker-hidden-prefill-l0: [41, 2048] first4: -0.381353 -0.062791 0.001330 -0.016509
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[Debug] talker-hidden-prefill-l7: [41, 2048] first4: -2.109648 0.161371 2.017616 1.132363
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[Debug] talker-hidden-prefill-l14: [41, 2048] first4: -1.859596 0.326090 2.117046 1.085369
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[Debug] talker-hidden-prefill-l21: [41, 2048] first4: -1.449659 0.263131 2.492201 0.581436
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[Debug] talker-hidden-prefill-l27: [41, 2048] first4: -1.422006 -24.676947 -1.766300 24.876963
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[Debug] talker-hidden-prefill-final: [41, 2048] first4: -0.043907 -0.795666 -0.050677 0.700152
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[Debug] talker-logits-prefill: [3072] first4: -0.840332 -8.007812 -2.685547 -4.832031
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[Sample] step=0 c0=1995 u=-1.0000000000 subseq=0
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[Sample-CP] g=0 c=1159 u=-1.0000000000 subseq=1
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[Sample-CP] g=1 c=355 u=-1.0000000000 subseq=2
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[Sample-CP] g=2 c=22 u=-1.0000000000 subseq=3
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[Sample-CP] g=3 c=1174 u=-1.0000000000 subseq=4
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[Sample-CP] g=4 c=1093 u=-1.0000000000 subseq=5
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[Sample-CP] g=5 c=625 u=-1.0000000000 subseq=6
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[Sample-CP] g=6 c=1814 u=-1.0000000000 subseq=7
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[Sample-CP] g=7 c=1058 u=-1.0000000000 subseq=8
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[Sample-CP] g=8 c=905 u=-1.0000000000 subseq=9
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[Sample-CP] g=9 c=1846 u=-1.0000000000 subseq=10
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[Sample-CP] g=10 c=1247 u=-1.0000000000 subseq=11
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[Sample-CP] g=11 c=1677 u=-1.0000000000 subseq=12
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[Sample-CP] g=12 c=889 u=-1.0000000000 subseq=13
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[Sample-CP] g=13 c=812 u=-1.0000000000 subseq=14
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[Sample-CP] g=14 c=901 u=-1.0000000000 subseq=15
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[Debug] codes-step0: [16] first4: 1995.000000 1159.000000 355.000000 22.000000
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[Debug] next-emb-step0: [2048] first4: -0.039680 -0.032027 -0.001058 0.180065
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[Debug] talker-hidden-step1: [2048] first4: 0.569267 -1.901817 3.022171 -1.198206
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[Sample] step=1 c0=259 u=-1.0000000000 subseq=16
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[Sample-CP] g=0 c=259 u=-1.0000000000 subseq=17
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[Sample-CP] g=1 c=1160 u=-1.0000000000 subseq=18
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[Sample-CP] g=2 c=1605 u=-1.0000000000 subseq=19
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[Sample-CP] g=3 c=1191 u=-1.0000000000 subseq=20
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[Sample-CP] g=4 c=667 u=-1.0000000000 subseq=21
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[Sample-CP] g=5 c=1614 u=-1.0000000000 subseq=22
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[Sample-CP] g=6 c=943 u=-1.0000000000 subseq=23
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[Sample-CP] g=7 c=1177 u=-1.0000000000 subseq=24
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[Sample-CP] g=8 c=1907 u=-1.0000000000 subseq=25
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[Sample-CP] g=9 c=944 u=-1.0000000000 subseq=26
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[Sample-CP] g=10 c=126 u=-1.0000000000 subseq=27
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[Sample-CP] g=11 c=1711 u=-1.0000000000 subseq=28
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[Sample-CP] g=12 c=99 u=-1.0000000000 subseq=29
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[Sample-CP] g=13 c=1070 u=-1.0000000000 subseq=30
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[Sample-CP] g=14 c=194 u=-1.0000000000 subseq=31
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[Pipeline] Generated 8 frames
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[Pipeline] Generated 16 frames
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[Pipeline] Generated 24 frames
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[Pipeline] Generated 32 frames
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[Pipeline] Generated 40 frames
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[Pipeline] Generated 48 frames
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[Pipeline] Generated 56 frames
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[Pipeline] Generated 64 frames
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[Pipeline] Generation done : 64 frames
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[Debug] codes-full: [64, 16] first4: 1995.000000 1159.000000 355.000000 22.000000
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[Debug] output-audio: [122880] first4: 0.000015 0.000017 0.000015 0.000017
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[WAV] Wrote cpp/customvoice/customvoice-cpp.wav: 122880 samples, 24000 Hz, mono S16
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[Pipeline] Wrote 122880 samples (5.12 s) -> cpp/customvoice/customvoice-cpp.wav
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[Input] Prompt: 100 chars: qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS fo...
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[Input] Speaker: vivian
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[Input] Lang: english Seed: 42 MaxNewTokens: 64
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[Input] Mode: greedy
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[Python] Device: cuda
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[Python] InputIds shape: (1, 38)
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[Python] Codes shape: (63, 16) (T_frames, num_code_groups)
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[Python] Audio: 120960 samples 24000 Hz 5.04s -> python/customvoice/customvoice-python.wav
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[Quant] Q8_0 -> ../models/qwen-talker-1.7b-customvoice-Q8_0.gguf + ../models/qwen-tokenizer-12hz-Q8_0.gguf
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[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-customvoice-Q8_0.gguf --codec ../models/qwen-tokenizer-12hz-Q8_0.gguf --seed 42 --text qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS for zero shot multilingual text to speech. --speaker vivian --lang english --max-new 64 --dump cpp/customvoice -o cpp/customvoice/customvoice-cpp.wav --greedy
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[GGML] Audio: 122880 samples 24000 Hz 5.12s -> cpp/customvoice/customvoice-cpp.wav
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[Cossim] PromptIDs exact: 100.00% (38 values)
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[Cossim] Embed cos: 0.999962 max: 5.1095e-02 mean: 2.0739e-04
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[Cossim] TrailingText cos: 0.999999 max: 1.8678e-04 mean: 4.3506e-05
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[Cossim] TTSPadEmbed cos: 0.999999 max: 1.8678e-04 mean: 4.3506e-05
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[Cossim] L0 cos: 0.999990 max: 5.8643e-02 mean: 6.5001e-04
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[Cossim] L7 cos: 0.999982 max: 2.5612e+01 mean: 4.4817e-02
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[Cossim] L14 cos: 0.999982 max: 2.5547e+01 mean: 5.5255e-02
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[Cossim] L21 cos: 0.999979 max: 2.5867e+01 mean: 1.0312e-01
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[Cossim] L27 cos: 0.999883 max: 6.8940e+01 mean: 4.5189e-01
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[Cossim] Final cos: 0.998955 max: 1.0042e+01 mean: 3.4832e-02
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[Cossim] Logits cos: 0.999876 max: 3.4833e-01 mean: 6.0124e-02
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[Cossim] NextEmbStep0 cos: 0.999992 max: 1.1319e-03 mean: 2.3562e-04
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[Cossim] TalkerHiddenStep1 cos: 0.999773 max: 3.4846e-01 mean: 3.6412e-02
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[Cossim] CodesFull exact: 7.84% (1008 values)
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[Cossim] Audio cos: 0.063656
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[Cossim] WAV stft_cos: 0.318519 samples: 120960
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