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qwentts.cpp/tests/clone-Vulkan0-Q4_K_M.log
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2026-07-25 18:56:39 +02:00

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[Qwen] qwentts.cpp 710a52a (2026-07-25)
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/git/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 | fp4: 0 | warp size: 32 | shared memory: 49152 | int dot: 1 | matrix cores: NV_coopmat2
load_backend: loaded Vulkan backend from /mnt/workspace/git/qwentts.cpp/build/libggml-vulkan.so
load_backend: loaded CPU backend from /mnt/workspace/git/qwentts.cpp/build/libggml-cpu-zen4.so
[Load] Talker backend: Vulkan0 (CPU threads: 16)
[GGUF] ../models/qwen-talker-1.7b-base-Q4_K_M.gguf: 480 tensors, data at offset 5954496
[WeightCtx] Loaded 316 tensors, 1012.7 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, 109.5 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-Q4_K_M.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, 16.4 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, 25.1 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
[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, 1 sets -> 896 MB
[KVCache] Allocated: 5 layers, 8 KV heads, head_dim 128, max_seq_len 16, 1 sets -> 0 MB
[Pipeline] Loaded: arch=1b7 variant=base tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=deferred speakers=0 fa=on clamp_fp16=off max_batch=1
[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
[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
[Pipeline] Speaker encoder lazy loaded in 4 ms
[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 0.098113 0.854719 0.000000
[Debug] spk-block3: [1618, 512] first4: 1.956470 0.098113 1.233186 0.246316
[Debug] spk-mfa: [1618, 1536] first4: 0.000000 0.922765 0.615104 0.000000
[Debug] spk-asp: [1, 3072] first4: 0.067722 0.119141 0.240900 0.344142
[SpkExtract] Extracted 2048-dim embedding (414337 samples, padded 415105)
[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, 13.6 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] Codec encoder lazy loaded in 9 ms
[Debug] audio-input: [412800] first4: -0.000546 -0.001162 -0.000871 0.000340
[Debug] seanet-out: [430, 512] first4: -0.138303 13.699992 -0.351357 3.025051
[Debug] enc-transformer-out: [430, 512] first4: 0.887039 3.463154 0.047173 0.245495
[Debug] codec-pre-fsq: [215, 512] first4: -2.186890 -7.483765 -2.393738 2.308228
[Debug] seanet-init: [412800, 64] first4: -0.015825 -0.054180 -0.117431 0.038554
[Debug] seanet-resnet0: [412800, 64] first4: 0.057692 -0.220647 -0.137337 -0.251412
[Debug] seanet-stage0: [103200, 128] first4: 0.233419 -0.324131 0.246537 0.204638
[Debug] seanet-stage1: [20640, 256] first4: -0.363312 0.315591 -0.575002 0.574978
[Debug] seanet-stage3: [430, 1024] first4: -2.283079 -4.969837 -6.983922 -8.931701
[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: 0.022060 -0.009214 0.008459 -0.019803
[Debug] trailing-text-hidden: [1, 2048] first4: -0.005416 0.008943 -0.004432 0.000657
[Debug] tts-pad-embed: [2048] first4: -0.005416 0.008943 -0.004432 0.000657
[Debug] spk-emb: [2048] first4: 0.098350 -0.023773 -0.011820 0.006758
[Debug] ref-codes: [16, 215] first4: 1221.000000 2042.000000 696.000000 1522.000000
[Debug] talker-hidden-prefill-l0: [225, 2048] first4: -0.437574 -0.067419 0.007751 0.014628
[Debug] talker-hidden-prefill-l7: [225, 2048] first4: -8.835860 0.790539 0.495832 0.094764
[Debug] talker-hidden-prefill-l14: [225, 2048] first4: -8.770662 1.124167 0.599186 0.160221
[Debug] talker-hidden-prefill-l21: [225, 2048] first4: -8.652716 1.697395 1.098899 -0.791332
[Debug] talker-hidden-prefill-l27: [225, 2048] first4: 4.921398 -31.754539 -6.813190 21.707518
[Debug] talker-hidden-prefill-final: [225, 2048] first4: 0.166135 -1.119393 -0.213715 0.667947
[Debug] talker-logits-prefill: [3072] first4: -0.151123 -5.516602 -7.045898 -10.537109
[Batch] Admit slot=0 T_ctx=225 prefill=1555.1 ms build=1041.5 ms (stall for 0 active slots)
[Sample] step=0 c0=27 u=-1.0000000000 subseq=0
[Debug] codes-step0: [16] first4: 27.000000 1408.000000 1824.000000 417.000000
[Debug] next-emb-step0: [2048] first4: 0.005714 0.034105 -0.000204 0.073642
[Debug] talker-hidden-step1: [2048] first4: 0.590231 2.653425 0.827661 0.831199
[Sample] step=1 c0=1902 u=-1.0000000000 subseq=16
[Pipeline] Generated 8 frames (slot 0)
[Pipeline] Generated 16 frames (slot 0)
[Pipeline] Generated 24 frames (slot 0)
[Pipeline] Generated 32 frames (slot 0)
[Pipeline] Generated 40 frames (slot 0)
[Pipeline] Generated 48 frames (slot 0)
[Pipeline] Generated 56 frames (slot 0)
[Pipeline] Generated 64 frames (slot 0)
[Pipeline] Generation done : 64 frames
[Debug] codes-full: [64, 16] first4: 27.000000 1408.000000 1824.000000 417.000000
[Debug] output-audio: [122880] first4: -0.000352 -0.000173 -0.000826 -0.000555
[Perf] PromptBuild 1041.5 ms
[Perf] Prefill 1555.1 ms (T_ctx prefill)
[Perf] TTFA 4465.0 ms (first frame codes)
[Perf] TalkerDecode 229.4 ms (64 frames, 3.58 ms/frame)
[Perf] CodePredictor 431.4 ms (6.74 ms/frame)
[Perf] HostCompose 0.1 ms (c0 sample + next emb)
[Perf] CodecDecode 63.1 ms
[Perf] Total 5038.9 ms (64 frames, 10.33 ms/frame AR, audio 5.12 s, RTF 0.984)
[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] Q4_K_M -> ../models/qwen-talker-1.7b-base-Q4_K_M.gguf + ../models/qwen-tokenizer-12hz-Q4_K_M.gguf
[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-base-Q4_K_M.gguf --codec ../models/qwen-tokenizer-12hz-Q4_K_M.gguf --seed 42 --ref-wav ../examples/freeman.wav --ref-text ../examples/freeman.txt --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: 49.83% (3440 values)
[Cossim] Embed cos: 0.917128 max: 2.2245e-01 mean: 2.1853e-02
[Cossim] TrailingText cos: 0.999967 max: 1.5749e-03 mean: 2.3645e-04
[Cossim] TTSPadEmbed cos: 0.999967 max: 1.5749e-03 mean: 2.3645e-04
[Cossim] L0 cos: 0.961486 max: 8.1847e-01 mean: 2.8364e-02
[Cossim] L7 cos: 0.997433 max: 3.9307e+01 mean: 1.6337e-01
[Cossim] L14 cos: 0.997359 max: 3.8675e+01 mean: 2.4737e-01
[Cossim] L21 cos: 0.995877 max: 3.8921e+01 mean: 7.7256e-01
[Cossim] L27 cos: 0.956688 max: 1.7483e+03 mean: 1.9751e+00
[Cossim] Final cos: 0.955767 max: 3.3655e+01 mean: 5.4944e-01
[Cossim] Logits cos: 0.992621 max: 2.9744e+00 mean: 4.5055e-01
[Cossim] NextEmbStep0 cos: 0.819095 max: 1.4988e-01 mean: 3.0364e-02
[Cossim] TalkerHiddenStep1 cos: 0.957568 max: 3.9459e+00 mean: 6.2838e-01
[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: 4.1014e-04 mean: 3.4146e-06
[Cossim] SeanetResnet0 cos: 0.999987 max: 1.9526e-03 mean: 9.4296e-05
[Cossim] SeanetStage0 cos: 0.999985 max: 4.2238e-02 mean: 6.5089e-04
[Cossim] SeanetStage1 cos: 0.999866 max: 7.7454e-01 mean: 4.9543e-03
[Cossim] SeanetStage3 cos: 0.999995 max: 1.4657e+00 mean: 3.8722e-02
[Cossim] SeanetOut cos: 0.999963 max: 4.0791e-01 mean: 1.6984e-02
[Cossim] EncTransformer cos: 0.992979 max: 3.5659e+00 mean: 1.6375e-01
[Cossim] CodecPreFSQ cos: 0.996263 max: 2.2477e+00 mean: 2.4022e-01
[Cossim] SpkFrontend cos: 1.000000 max: 2.6600e-03 mean: 1.1964e-04
[Cossim] SpkBlock3 cos: 1.000000 max: 1.2137e-02 mean: 5.2085e-04
[Cossim] SpkMFA cos: 1.000000 max: 8.9911e-03 mean: 1.3079e-04
[Cossim] SpkASP cos: 1.000000 max: 2.2919e-04 mean: 1.7381e-05
[Cossim] SpeakerEmb cos: 1.000000 max: 8.0518e-05 mean: 1.3621e-05
[Cossim] CodesFull exact: 2.38% (1008 values)
[Cossim] Audio cos: -0.015329
[Cossim] WAV stft_cos: 0.211505 samples: 120960