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-base-BF16.gguf: 480 tensors, data at offset 5954496
[WeightCtx] Loaded 316 tensors, 3322.0 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, 334.1 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
[WeightCtx] Loaded 76 tensors, 34.9 MB into backend
[SpeakerEncoder] Loaded: enc_dim=2048 sr=24000 mel_dim=128 hidden=512 mfa=1536 asp_attn=128 se=128 scale=8
[GGUF] ../models/qwen-tokenizer-12hz-BF16.gguf: 398 tensors, data at offset 29760
[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, 58.1 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, 48.1 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, 48.1 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=base tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=loaded speakers=0
[BPE] Loaded from GGUF: 151676 vocab, 151291 merges, eos_id=151643
[BPE] Registered 5 arch special tokens (total specials=6)
[WAV] Read buffer: 380672 samples, 22050 Hz, 1 ch, 16 bit
[Audio-Resample] 22050 Hz -> 24000 Hz, 380672 samples...
[Audio-Resample] Done: 380672 -> 414337 samples
[Debug] mel-spk: [1618, 128] first4: -6.330339 -6.170074 -6.011195 -6.243161
[Debug] mel-hann: [1024] first4: 0.000000 0.000009 0.000038 0.000085
[Debug] mel-basis: [128, 513] first4: 0.000000 0.033550 0.008569 0.000000
[Debug] mel-mag: [1618, 513] first4: 0.047604 0.042322 0.042187 0.066630
[Debug] spk-frontend: [1618, 512] first4: 0.000000 0.099754 0.858150 0.000000
[Debug] spk-block3: [1618, 512] first4: 1.962623 0.099754 1.239126 0.246363
[Debug] spk-mfa: [1618, 1536] first4: 0.000000 0.923592 0.609606 0.000000
[Debug] spk-asp: [1, 3072] first4: 0.067512 0.118912 0.240832 0.344075
[SpkExtract] Extracted 2048-dim embedding from ../examples/freeman.wav (414337 samples, padded 415105)
[WAV] Read buffer: 380672 samples, 22050 Hz, 1 ch, 16 bit
[Audio-Resample] 22050 Hz -> 24000 Hz, 380672 samples...
[Audio-Resample] Done: 380672 -> 414337 samples
[Debug] audio-input: [412800] first4: -0.000546 -0.001162 -0.000871 0.000340
[Debug] seanet-out: [430, 512] first4: -0.110593 13.765666 -0.317055 2.981106
[Debug] enc-transformer-out: [430, 512] first4: 0.536260 3.195749 -0.156796 0.610111
[Debug] codec-pre-fsq: [215, 512] first4: -3.871765 -7.009766 -0.896362 2.946289
[Debug] seanet-init: [412800, 64] first4: -0.015825 -0.054180 -0.117431 0.038554
[Debug] seanet-resnet0: [412800, 64] first4: 0.057569 -0.220647 -0.137337 -0.251168
[Debug] seanet-stage0: [103200, 128] first4: 0.233175 -0.323887 0.247269 0.205126
[Debug] seanet-stage1: [20640, 256] first4: -0.363801 0.318033 -0.571584 0.592068
[Debug] seanet-stage3: [430, 1024] first4: -2.265745 -4.951282 -6.929723 -8.998595
[Pipeline] ICL ref_codes: 215 frames at 12.5 Hz (412800 audio samples)
[Prompt] Built: 38 ids, N_text=30, N_instruct=0, T_ctx=225, hidden=2048, lang=english (id=2050), speaker=none (id=-1) ref_spk_emb=yes icl=yes
[Debug] prompt-ids: [38] first4: 151644.000000 77091.000000 198.000000 80.000000
[Debug] talker-input-embed: [225, 2048] first4: 0.022157 -0.009049 0.008161 -0.020214
[Debug] trailing-text-hidden: [1, 2048] first4: -0.005331 0.008751 -0.004225 0.001141
[Debug] tts-pad-embed: [2048] first4: -0.005331 0.008751 -0.004225 0.001141
[Debug] speaker-emb: [2048] first4: 0.098348 -0.023729 -0.011668 0.006747
[Debug] ref-codes: [16, 215] first4: 1221.000000 2042.000000 509.000000 1522.000000
[Debug] talker-hidden-prefill-l0: [225, 2048] first4: -0.461532 -0.069882 0.015988 -0.039215
[Debug] talker-hidden-prefill-l7: [225, 2048] first4: -1.523297 -0.014717 0.347053 1.776380
[Debug] talker-hidden-prefill-l14: [225, 2048] first4: -1.294979 0.182117 0.448301 1.743050
[Debug] talker-hidden-prefill-l21: [225, 2048] first4: -0.769804 0.163546 0.799334 1.111618
[Debug] talker-hidden-prefill-l27: [225, 2048] first4: 7.050038 -34.400974 -7.071052 28.632160
[Debug] talker-hidden-prefill-final: [225, 2048] first4: 0.239952 -1.222665 -0.223629 0.888272
[Debug] talker-logits-prefill: [3072] first4: 0.900955 -7.879465 -6.792802 -10.430634
[Sample] step=0 c0=27 u=-1.0000000000 subseq=0
[Sample-CP] g=0 c=1408 u=-1.0000000000 subseq=1
[Sample-CP] g=1 c=1203 u=-1.0000000000 subseq=2
[Sample-CP] g=2 c=203 u=-1.0000000000 subseq=3
[Sample-CP] g=3 c=447 u=-1.0000000000 subseq=4
[Sample-CP] g=4 c=645 u=-1.0000000000 subseq=5
[Sample-CP] g=5 c=580 u=-1.0000000000 subseq=6
[Sample-CP] g=6 c=905 u=-1.0000000000 subseq=7
[Sample-CP] g=7 c=432 u=-1.0000000000 subseq=8
[Sample-CP] g=8 c=1962 u=-1.0000000000 subseq=9
[Sample-CP] g=9 c=346 u=-1.0000000000 subseq=10
[Sample-CP] g=10 c=93 u=-1.0000000000 subseq=11
[Sample-CP] g=11 c=1546 u=-1.0000000000 subseq=12
[Sample-CP] g=12 c=936 u=-1.0000000000 subseq=13
[Sample-CP] g=13 c=2002 u=-1.0000000000 subseq=14
[Sample-CP] g=14 c=906 u=-1.0000000000 subseq=15
[Debug] codes-step0: [16] first4: 27.000000 1408.000000 1203.000000 203.000000
[Debug] next-emb-step0: [2048] first4: 0.056839 -0.027733 0.030860 -0.040129
[Debug] talker-hidden-step1: [2048] first4: -0.632528 3.517379 -1.484728 0.181401
[Sample] step=1 c0=1570 u=-1.0000000000 subseq=16
[Sample-CP] g=0 c=682 u=-1.0000000000 subseq=17
[Sample-CP] g=1 c=814 u=-1.0000000000 subseq=18
[Sample-CP] g=2 c=367 u=-1.0000000000 subseq=19
[Sample-CP] g=3 c=1906 u=-1.0000000000 subseq=20
[Sample-CP] g=4 c=645 u=-1.0000000000 subseq=21
[Sample-CP] g=5 c=267 u=-1.0000000000 subseq=22
[Sample-CP] g=6 c=91 u=-1.0000000000 subseq=23
[Sample-CP] g=7 c=1573 u=-1.0000000000 subseq=24
[Sample-CP] g=8 c=162 u=-1.0000000000 subseq=25
[Sample-CP] g=9 c=765 u=-1.0000000000 subseq=26
[Sample-CP] g=10 c=1767 u=-1.0000000000 subseq=27
[Sample-CP] g=11 c=855 u=-1.0000000000 subseq=28
[Sample-CP] g=12 c=1456 u=-1.0000000000 subseq=29
[Sample-CP] g=13 c=1185 u=-1.0000000000 subseq=30
[Sample-CP] g=14 c=108 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: 27.000000 1408.000000 1203.000000 203.000000
[Debug] output-audio: [122880] first4: -0.001460 -0.002505 -0.002506 -0.001414
[WAV] Wrote cpp/clone/clone-cpp.wav: 122880 samples, 24000 Hz, mono S16
[Pipeline] Wrote 122880 samples (5.12 s) -> cpp/clone/clone-cpp.wav
[Input] Prompt: 100 chars: qwentts.cpp is a minimal C++17 and GGML port of Qwen3-TTS fo...
[Input] RefAudio: ../examples/freeman.wav
[Input] RefText: 213 chars: If you go into different cultures, they have different conce...
[Input] Lang: english Seed: 42 MaxNewTokens: 64
[Input] Mode: greedy ICL
[Python] Device: cuda
[Python] RefWav: 414337 samples 24000 Hz 17.26s
[Python] SpeakerEmb shape: (2048,) dtype: torch.float32
[Python] RefCodes shape: (16, 215) (K, T_codec)
[Python] InputIds shape: (1, 38)
[Python] RefIds shape: (1, 53)
[Python] Codes shape: (63, 16) (T_frames, num_code_groups)
[Python] Audio: 120960 samples 24000 Hz 5.04s -> python/clone/clone-python.wav
[Quant] BF16 -> ../models/qwen-talker-1.7b-base-BF16.gguf + ../models/qwen-tokenizer-12hz-BF16.gguf
[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-base-BF16.gguf --codec ../models/qwen-tokenizer-12hz-BF16.gguf --seed --text [...] --ref-audio ../examples/freeman.wav --ref-text [...] --lang english --max-new 64 --dump cpp/clone -o cpp/clone/clone-cpp.wav --greedy
[GGML] Audio: 122880 samples 24000 Hz 5.12s -> cpp/clone/clone-cpp.wav
[Cossim] PromptIDs exact: 100.00% (38 values)
[Cossim] RefCodes exact: 76.83% (3440 values)
[Cossim] Embed cos: 0.962709 max: 1.9437e-01 mean: 1.0686e-02
[Cossim] TrailingText cos: 1.000000 max: 1.0431e-06 mean: 9.3616e-09
[Cossim] TTSPadEmbed cos: 1.000000 max: 1.0431e-06 mean: 9.3616e-09
[Cossim] L0 cos: 0.983223 max: 7.7067e-01 mean: 1.3991e-02
[Cossim] L7 cos: 0.999989 max: 1.2859e+01 mean: 3.3234e-02
[Cossim] L14 cos: 0.999964 max: 1.2860e+01 mean: 7.1854e-02
[Cossim] L21 cos: 0.999532 max: 1.6955e+01 mean: 2.8042e-01
[Cossim] L27 cos: 0.998217 max: 4.0720e+01 mean: 6.4082e-01
[Cossim] Final cos: 0.990703 max: 1.5827e+01 mean: 2.0875e-01
[Cossim] Logits cos: 0.999316 max: 1.1188e+00 mean: 1.3424e-01
[Cossim] NextEmbStep0 cos: 0.541941 max: 2.4936e-01 mean: 5.0259e-02
[Cossim] TalkerHiddenStep1 cos: 0.520135 max: 2.0678e+01 mean: 1.9063e+00
[Cossim] MelHann cos: 1.000000 max: 1.7881e-07 mean: 3.2043e-08
[Cossim] MelBasis cos: 1.000000 max: 1.7881e-07 mean: 3.9379e-10
[Cossim] MelMag cos: 1.000000 max: 3.1307e-05 mean: 5.6396e-07
[Cossim] MelSpk cos: 1.000000 max: 2.5492e-03 mean: 9.3754e-06
[Cossim] SeanetInit cos: 1.000000 max: 9.1669e-04 mean: 1.6221e-05
[Cossim] SeanetResnet0 cos: 0.999961 max: 2.1108e-03 mean: 1.6910e-04
[Cossim] SeanetStage0 cos: 0.999983 max: 4.4128e-02 mean: 7.5091e-04
[Cossim] SeanetStage1 cos: 0.999862 max: 7.2962e-01 mean: 5.2996e-03
[Cossim] SeanetStage3 cos: 0.999994 max: 2.1304e+00 mean: 4.7641e-02
[Cossim] SeanetOut cos: 0.999953 max: 3.4988e-01 mean: 2.0273e-02
[Cossim] EncTransformer cos: 0.999963 max: 8.5211e-01 mean: 1.0424e-02
[Cossim] CodecPreFSQ cos: 0.999962 max: 4.6668e-01 mean: 2.2088e-02
[Cossim] SpkFrontend cos: 0.999997 max: 2.5180e-02 mean: 9.4975e-04
[Cossim] SpkBlock3 cos: 0.999991 max: 1.0191e-01 mean: 4.1523e-03
[Cossim] SpkMFA cos: 0.999979 max: 7.0797e-02 mean: 1.0370e-03
[Cossim] SpkASP cos: 1.000000 max: 2.3381e-03 mean: 1.5046e-04
[Cossim] SpeakerEmb cos: 1.000000 max: 6.5649e-04 mean: 1.2850e-04
[Cossim] CodesFull exact: 0.30% (1008 values)
[Cossim] Audio cos: -0.005066
[Cossim] WAV stft_cos: 0.148098 samples: 120960