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: CUDA0 (CPU threads: 16)
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[GGUF] ../models/qwen-talker-1.7b-customvoice-Q4_K_M.gguf: 404 tensors, data at offset 5949824
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[WeightCtx] Loaded 316 tensors, 1012.7 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, 109.5 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-Q4_K_M.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, 16.4 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, 25.1 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, 13.6 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: 0.020406 -0.009921 0.006129 -0.021787
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[Debug] trailing-text-hidden: [1, 2048] first4: -0.003884 0.008386 -0.004502 -0.000786
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[Debug] tts-pad-embed: [2048] first4: -0.003884 0.008386 -0.004502 -0.000786
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[Debug] talker-hidden-prefill-l0: [41, 2048] first4: -0.347301 -0.052077 -0.041220 -0.002471
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[Debug] talker-hidden-prefill-l7: [41, 2048] first4: 8.485819 -0.522394 6.125673 14.590284
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[Debug] talker-hidden-prefill-l14: [41, 2048] first4: 8.475321 -0.244497 6.287801 14.403727
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[Debug] talker-hidden-prefill-l21: [41, 2048] first4: 8.389411 0.036782 6.543781 13.993382
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[Debug] talker-hidden-prefill-l27: [41, 2048] first4: 10.127118 -29.085281 -1.204731 39.292091
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[Debug] talker-hidden-prefill-final: [41, 2048] first4: 0.311438 -0.934033 -0.034426 1.101411
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[Debug] talker-logits-prefill: [3072] first4: -0.810304 -8.010923 -1.648036 -5.381549
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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: -0.041045 -0.031131 0.000245 0.179301
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[Debug] talker-hidden-step1: [2048] first4: 1.952667 -1.897995 3.202719 -1.181960
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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=821 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=1631 u=-1.0000000000 subseq=20
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[Sample-CP] g=4 c=859 u=-1.0000000000 subseq=21
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[Sample-CP] g=5 c=1138 u=-1.0000000000 subseq=22
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[Sample-CP] g=6 c=122 u=-1.0000000000 subseq=23
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[Sample-CP] g=7 c=1842 u=-1.0000000000 subseq=24
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[Sample-CP] g=8 c=1252 u=-1.0000000000 subseq=25
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[Sample-CP] g=9 c=1532 u=-1.0000000000 subseq=26
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[Sample-CP] g=10 c=501 u=-1.0000000000 subseq=27
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[Sample-CP] g=11 c=1567 u=-1.0000000000 subseq=28
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[Sample-CP] g=12 c=1060 u=-1.0000000000 subseq=29
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[Sample-CP] g=13 c=1799 u=-1.0000000000 subseq=30
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[Sample-CP] g=14 c=570 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: 0.000014 0.000015 0.000012 0.000016
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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] Q4_K_M -> ../models/qwen-talker-1.7b-customvoice-Q4_K_M.gguf + ../models/qwen-tokenizer-12hz-Q4_K_M.gguf
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[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-customvoice-Q4_K_M.gguf --codec ../models/qwen-tokenizer-12hz-Q4_K_M.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: 0.999698 max: 1.6597e-01 mean: 1.0155e-03
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[Cossim] TrailingText cos: 0.999971 max: 1.2941e-03 mean: 2.2429e-04
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[Cossim] TTSPadEmbed cos: 0.999971 max: 1.2941e-03 mean: 2.2429e-04
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[Cossim] L0 cos: 0.999288 max: 3.9823e-01 mean: 6.3234e-03
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[Cossim] L7 cos: 0.997565 max: 7.5441e+01 mean: 5.9675e-01
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[Cossim] L14 cos: 0.997547 max: 7.5082e+01 mean: 7.1848e-01
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[Cossim] L21 cos: 0.997087 max: 7.8800e+01 mean: 1.3215e+00
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[Cossim] L27 cos: 0.986909 max: 6.4018e+02 mean: 5.5108e+00
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[Cossim] Final cos: 0.904601 max: 7.0254e+01 mean: 4.1660e-01
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[Cossim] Logits cos: 0.987853 max: 3.3691e+00 mean: 5.0932e-01
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[Cossim] NextEmbStep0 cos: 0.999915 max: 3.2489e-03 mean: 7.7490e-04
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[Cossim] TalkerHiddenStep1 cos: 0.963434 max: 2.4030e+00 mean: 4.7170e-01
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[Cossim] CodesFull exact: 2.88% (1008 values)
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[Cossim] Audio cos: 0.000079
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[Cossim] WAV stft_cos: 0.080990 samples: 120960
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