[Qwen] qwentts.cpp 199a658 (2026-05-31)
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 97247 MiB):
  Device 0: NVIDIA RTX PRO 6000 Blackwell Workstation Edition, compute capability 12.0, VMM: yes, VRAM: 97247 MiB
load_backend: loaded CUDA backend from /mnt/workspace/qwentts.cpp/build/libggml-cuda.so
ggml_vulkan: Found 1 Vulkan devices:
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
load_backend: loaded Vulkan backend from /mnt/workspace/qwentts.cpp/build/libggml-vulkan.so
load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-cpu-zen4.so
[Load] Talker backend: Vulkan0 (CPU threads: 16)
[GGUF] ../models/qwen-talker-1.7b-customvoice-F32.gguf: 404 tensors, data at offset 5949728
[WeightCtx] Loaded 316 tensors, 6643.5 MB into backend
[Talker] Loaded: 28 layers, hidden 2048, heads 16/8, head_dim 128, FFN 6144, RoPE theta 1000000, mrope sections [24,20,20] interleaved=0
[WeightCtx] Loaded 88 tensors, 668.1 MB into backend
[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
[GGUF] ../models/qwen-tokenizer-12hz-F32.gguf: 398 tensors, data at offset 29664
[WeightCtx] Loaded 18 tensors, 33.0 MB into backend
[Quantizer] Loaded: 16 codebooks (1 semantic + 15 acoustic), 2048 entries x 256 dim, hidden 512
[WeightCtx] Loaded 93 tensors, 116.1 MB into backend
[Transformer] Loaded: 8 layers, hidden 512, heads 16/16, head_dim 64, FFN 1024, RoPE theta 10000, sliding window 72
[WeightCtx] Loaded 22 tensors, 80.1 MB into backend
[Upsample] Loaded: 2 blocks (2x ratio per block), channels 1024, dwconv kernel 7
[WeightCtx] Loaded 118 tensors, 142.9 MB into backend
[DAC] Loaded: 4 blocks (strides 8/5/4/3), 24 kHz mono out, weights 142.9 MB
[WeightCtx] Loaded 2 tensors, 3.0 MB into backend
[WeightCtx] Loaded 28 tensors, 24.1 MB into backend
[SEANet] Loaded: 4 stages (ratios 4/5/6/8), 64 -> 512 channels, weights 24.1 MB
[WeightCtx] Loaded 96 tensors, 96.1 MB into backend
[EncTransformer] Loaded: 8 layers, hidden 512, heads 8/8, head_dim 64, FFN 2048, RoPE theta 10000
[WeightCtx] Loaded 1 tensors, 2.0 MB into backend
[EncDownsample] Loaded: k=4 stride=2, 512 -> 512 channels, weights 2.0 MB
[WeightCtx] Loaded 20 tensors, 34.0 MB into backend
[EncQuantizer] Loaded: 16 codebooks (1 semantic + 15 acoustic), 2048 entries x 256 dim, hidden 512, weights 34.0 MB
[Pipeline] Ready: hop 1920 samples @ 24000 Hz mono, 16 codebooks @ 12.5 Hz
[KVCache] Allocated: 28 layers, 8 KV heads, head_dim 128, max_seq_len 4096 -> 896 MB
[KVCache] Allocated: 5 layers, 8 KV heads, head_dim 128, max_seq_len 16 -> 0 MB
[Pipeline] Loaded: arch=1b7 variant=custom_voice tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=absent speakers=9 fa=on clamp_fp16=off
[BPE] Loaded from GGUF: 151676 vocab, 151291 merges, eos_id=151643
[BPE] Registered 5 arch special tokens (total specials=6)
[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
[Debug] prompt-ids: [38] first4: 151644.000000 77091.000000 198.000000 80.000000
[Debug] talker-input-embed: [41, 2048] first4: 0.021550 -0.009399 0.007126 -0.019719
[Debug] trailing-text-hidden: [1, 2048] first4: -0.003715 0.008406 -0.005009 -0.000409
[Debug] tts-pad-embed: [2048] first4: -0.003715 0.008406 -0.005009 -0.000409
[Debug] talker-hidden-prefill-l0: [41, 2048] first4: -0.383479 -0.060999 0.002428 -0.013982
[Debug] talker-hidden-prefill-l7: [41, 2048] first4: -1.337803 0.243764 1.594741 2.196605
[Debug] talker-hidden-prefill-l14: [41, 2048] first4: -1.096989 0.406974 1.694510 2.142391
[Debug] talker-hidden-prefill-l21: [41, 2048] first4: -0.667860 0.314923 2.050196 1.588315
[Debug] talker-hidden-prefill-l27: [41, 2048] first4: -0.985937 -24.421753 -2.187177 25.895386
[Debug] talker-hidden-prefill-final: [41, 2048] first4: -0.030451 -0.787641 -0.062769 0.729003
[Debug] talker-logits-prefill: [3072] first4: -0.727051 -8.062500 -2.744141 -4.957031
[Sample] step=0 c0=1995 u=-1.0000000000 subseq=0
[Sample-CP] g=0 c=1159 u=-1.0000000000 subseq=1
[Sample-CP] g=1 c=355 u=-1.0000000000 subseq=2
[Sample-CP] g=2 c=22 u=-1.0000000000 subseq=3
[Sample-CP] g=3 c=1174 u=-1.0000000000 subseq=4
[Sample-CP] g=4 c=1093 u=-1.0000000000 subseq=5
[Sample-CP] g=5 c=625 u=-1.0000000000 subseq=6
[Sample-CP] g=6 c=1814 u=-1.0000000000 subseq=7
[Sample-CP] g=7 c=1058 u=-1.0000000000 subseq=8
[Sample-CP] g=8 c=905 u=-1.0000000000 subseq=9
[Sample-CP] g=9 c=1846 u=-1.0000000000 subseq=10
[Sample-CP] g=10 c=1247 u=-1.0000000000 subseq=11
[Sample-CP] g=11 c=1677 u=-1.0000000000 subseq=12
[Sample-CP] g=12 c=889 u=-1.0000000000 subseq=13
[Sample-CP] g=13 c=812 u=-1.0000000000 subseq=14
[Sample-CP] g=14 c=901 u=-1.0000000000 subseq=15
[Debug] codes-step0: [16] first4: 1995.000000 1159.000000 355.000000 22.000000
[Debug] next-emb-step0: [2048] first4: -0.039671 -0.032533 -0.000920 0.180072
[Debug] talker-hidden-step1: [2048] first4: 0.530596 -1.852759 3.024868 -1.176871
[Sample] step=1 c0=259 u=-1.0000000000 subseq=16
[Sample-CP] g=0 c=259 u=-1.0000000000 subseq=17
[Sample-CP] g=1 c=1160 u=-1.0000000000 subseq=18
[Sample-CP] g=2 c=1605 u=-1.0000000000 subseq=19
[Sample-CP] g=3 c=1191 u=-1.0000000000 subseq=20
[Sample-CP] g=4 c=667 u=-1.0000000000 subseq=21
[Sample-CP] g=5 c=1614 u=-1.0000000000 subseq=22
[Sample-CP] g=6 c=943 u=-1.0000000000 subseq=23
[Sample-CP] g=7 c=1177 u=-1.0000000000 subseq=24
[Sample-CP] g=8 c=1907 u=-1.0000000000 subseq=25
[Sample-CP] g=9 c=944 u=-1.0000000000 subseq=26
[Sample-CP] g=10 c=126 u=-1.0000000000 subseq=27
[Sample-CP] g=11 c=1711 u=-1.0000000000 subseq=28
[Sample-CP] g=12 c=99 u=-1.0000000000 subseq=29
[Sample-CP] g=13 c=1070 u=-1.0000000000 subseq=30
[Sample-CP] g=14 c=194 u=-1.0000000000 subseq=31
[Pipeline] Generated 8 frames
[Pipeline] Generated 16 frames
[Pipeline] Generated 24 frames
[Pipeline] Generated 32 frames
[Pipeline] Generated 40 frames
[Pipeline] Generated 48 frames
[Pipeline] Generated 56 frames
[Pipeline] Generated 64 frames
[Pipeline] Generation done : 64 frames
[Debug] codes-full: [64, 16] first4: 1995.000000 1159.000000 355.000000 22.000000
[Debug] output-audio: [122880] first4: 0.000015 0.000018 0.000016 0.000016
[Perf] PromptBuild 2.8 ms
[Perf] Prefill 15.2 ms (T_ctx prefill)
[Perf] TTFA 27.3 ms (first frame codes)
[Perf] TalkerDecode 346.0 ms (64 frames, 5.41 ms/frame)
[Perf] CodePredictor 515.1 ms (8.05 ms/frame)
[Perf] HostCompose 1.0 ms (c0 sample + next emb)
[Perf] CodecDecode 22.2 ms
[Perf] Total 903.0 ms (64 frames, 13.47 ms/frame AR, audio 5.12 s, RTF 0.176)
[WAV] Wrote cpp/customvoice/customvoice-cpp.wav: 122880 samples, 24000 Hz, mono S16
[Pipeline] Wrote 122880 samples (5.12 s) -> cpp/customvoice/customvoice-cpp.wav
[Input] Prompt: 100 chars: qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS fo...
[Input] Speaker: vivian
[Input] Lang: english Seed: 42 MaxNewTokens: 64
[Input] Mode: greedy
[Python] Device: cuda
[Python] InputIds shape: (1, 38)
[Python] Codes shape: (63, 16) (T_frames, num_code_groups)
[Python] Audio: 120960 samples 24000 Hz 5.04s -> python/customvoice/customvoice-python.wav
[Quant] F32 -> ../models/qwen-talker-1.7b-customvoice-F32.gguf + ../models/qwen-tokenizer-12hz-F32.gguf
[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-customvoice-F32.gguf --codec ../models/qwen-tokenizer-12hz-F32.gguf --seed 42 --speaker vivian --lang english --max-new 64 --dump cpp/customvoice -o cpp/customvoice/customvoice-cpp.wav --greedy
[GGML] Audio: 122880 samples 24000 Hz 5.12s -> cpp/customvoice/customvoice-cpp.wav
[Cossim] PromptIDs exact: 100.00% (38 values)
[Cossim] Embed cos: 1.000000 max: 1.7583e-05 mean: 1.5171e-06
[Cossim] TrailingText cos: 1.000000 max: 5.9605e-08 mean: 6.1144e-10
[Cossim] TTSPadEmbed cos: 1.000000 max: 5.9605e-08 mean: 6.1144e-10
[Cossim] L0 cos: 0.999998 max: 5.8418e-02 mean: 2.1380e-04
[Cossim] L7 cos: 0.999997 max: 1.9661e+01 mean: 3.1661e-03
[Cossim] L14 cos: 0.999997 max: 1.9681e+01 mean: 5.8656e-03
[Cossim] L21 cos: 0.999996 max: 1.9747e+01 mean: 1.7076e-02
[Cossim] L27 cos: 0.999992 max: 2.4651e+01 mean: 9.4464e-02
[Cossim] Final cos: 0.999980 max: 5.1343e-01 mean: 6.4391e-03
[Cossim] Logits cos: 0.999992 max: 9.8179e-02 mean: 1.4742e-02
[Cossim] NextEmbStep0 cos: 1.000000 max: 5.9605e-08 mean: 5.6872e-10
[Cossim] TalkerHiddenStep1 cos: 0.999982 max: 1.3266e-01 mean: 9.8017e-03
[Cossim] CodesFull exact: 37.20% (1008 values)
[Cossim] Audio cos: 0.402590
[Cossim] WAV stft_cos: 0.628384 samples: 120960