135 lines
8.5 KiB
Plaintext
135 lines
8.5 KiB
Plaintext
[Qwen] qwentts.cpp 5442c2f (2026-05-31)
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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-voicedesign-F32.gguf: 404 tensors, data at offset 5949248
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[WeightCtx] Loaded 316 tensors, 6643.5 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, 668.1 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-F32.gguf: 398 tensors, data at offset 29664
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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, 116.1 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, 80.1 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, 96.1 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=voice_design tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=absent speakers=0 fa=on clamp_fp16=off
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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=12, T_ctx=52, hidden=2048, lang=english (id=2050), speaker=none (id=-1) 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: [52, 2048] first4: 0.018727 -0.007900 0.004578 -0.013287
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[Debug] trailing-text-hidden: [1, 2048] first4: -0.004532 0.007560 -0.004596 -0.000724
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[Debug] tts-pad-embed: [2048] first4: -0.004532 0.007560 -0.004596 -0.000724
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[Debug] talker-hidden-prefill-l0: [52, 2048] first4: -0.377370 -0.053150 -0.039805 -0.054229
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[Debug] talker-hidden-prefill-l7: [52, 2048] first4: -0.919016 0.546791 0.930121 0.992669
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[Debug] talker-hidden-prefill-l14: [52, 2048] first4: -0.698064 0.742075 1.047876 0.901794
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[Debug] talker-hidden-prefill-l21: [52, 2048] first4: -0.293831 0.674101 1.303767 0.486516
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[Debug] talker-hidden-prefill-l27: [52, 2048] first4: -6.642353 -28.852940 -2.780969 32.031685
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[Debug] talker-hidden-prefill-final: [52, 2048] first4: -0.300769 -1.364028 -0.116493 1.322619
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[Debug] talker-logits-prefill: [3072] first4: -3.028953 -10.120714 -1.571011 -3.059533
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[Sample] step=0 c0=1995 u=-1.0000000000 subseq=0
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[Sample-CP] g=0 c=1642 u=-1.0000000000 subseq=1
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[Sample-CP] g=1 c=1398 u=-1.0000000000 subseq=2
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[Sample-CP] g=2 c=1703 u=-1.0000000000 subseq=3
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[Sample-CP] g=3 c=1047 u=-1.0000000000 subseq=4
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[Sample-CP] g=4 c=37 u=-1.0000000000 subseq=5
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[Sample-CP] g=5 c=1759 u=-1.0000000000 subseq=6
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[Sample-CP] g=6 c=1163 u=-1.0000000000 subseq=7
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[Sample-CP] g=7 c=564 u=-1.0000000000 subseq=8
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[Sample-CP] g=8 c=1 u=-1.0000000000 subseq=9
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[Sample-CP] g=9 c=743 u=-1.0000000000 subseq=10
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[Sample-CP] g=10 c=796 u=-1.0000000000 subseq=11
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[Sample-CP] g=11 c=783 u=-1.0000000000 subseq=12
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[Sample-CP] g=12 c=1999 u=-1.0000000000 subseq=13
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[Sample-CP] g=13 c=82 u=-1.0000000000 subseq=14
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[Sample-CP] g=14 c=803 u=-1.0000000000 subseq=15
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[Debug] codes-step0: [16] first4: 1995.000000 1642.000000 1398.000000 1703.000000
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[Debug] next-emb-step0: [2048] first4: 0.004818 -0.029755 0.017770 0.080159
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[Debug] talker-hidden-step1: [2048] first4: 0.547696 -0.655166 7.058888 -3.805778
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[Sample] step=1 c0=2042 u=-1.0000000000 subseq=16
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[Sample-CP] g=0 c=1230 u=-1.0000000000 subseq=17
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[Sample-CP] g=1 c=141 u=-1.0000000000 subseq=18
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[Sample-CP] g=2 c=1879 u=-1.0000000000 subseq=19
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[Sample-CP] g=3 c=371 u=-1.0000000000 subseq=20
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[Sample-CP] g=4 c=628 u=-1.0000000000 subseq=21
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[Sample-CP] g=5 c=1799 u=-1.0000000000 subseq=22
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[Sample-CP] g=6 c=187 u=-1.0000000000 subseq=23
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[Sample-CP] g=7 c=645 u=-1.0000000000 subseq=24
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[Sample-CP] g=8 c=834 u=-1.0000000000 subseq=25
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[Sample-CP] g=9 c=908 u=-1.0000000000 subseq=26
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[Sample-CP] g=10 c=132 u=-1.0000000000 subseq=27
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[Sample-CP] g=11 c=942 u=-1.0000000000 subseq=28
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[Sample-CP] g=12 c=1522 u=-1.0000000000 subseq=29
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[Sample-CP] g=13 c=317 u=-1.0000000000 subseq=30
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[Sample-CP] g=14 c=623 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 1642.000000 1398.000000 1703.000000
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[Debug] output-audio: [122880] first4: 0.000048 0.000056 0.000045 0.000048
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[Perf] PromptBuild 37.1 ms
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[Perf] Prefill 15.4 ms (T_ctx prefill)
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[Perf] TTFA 63.0 ms (first frame codes)
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[Perf] TalkerDecode 341.4 ms (64 frames, 5.33 ms/frame)
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[Perf] CodePredictor 560.0 ms (8.75 ms/frame)
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[Perf] HostCompose 1.0 ms (c0 sample + next emb)
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[Perf] CodecDecode 20.6 ms
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[Perf] Total 976.1 ms (64 frames, 14.10 ms/frame AR, audio 5.12 s, RTF 0.191)
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[WAV] Wrote cpp/tts/tts-cpp.wav: 122880 samples, 24000 Hz, mono S16
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[Pipeline] Wrote 122880 samples (5.12 s) -> cpp/tts/tts-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] Instruct: male, young adult, moderate pitch
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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] InstructIds shape: (1, 12)
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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/tts/tts-python.wav
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[Quant] F32 -> ../models/qwen-talker-1.7b-voicedesign-F32.gguf + ../models/qwen-tokenizer-12hz-F32.gguf
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[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-voicedesign-F32.gguf --codec ../models/qwen-tokenizer-12hz-F32.gguf --seed 42 --instruct male, young adult, moderate pitch --lang english --max-new 64 --dump cpp/tts -o cpp/tts/tts-cpp.wav --greedy
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[GGML] Audio: 122880 samples 24000 Hz 5.12s -> cpp/tts/tts-cpp.wav
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[Cossim] PromptIDs exact: 100.00% (38 values)
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[Cossim] Embed cos: 1.000000 max: 1.9538e-04 mean: 1.9707e-06
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[Cossim] TrailingText cos: 1.000000 max: 7.7486e-07 mean: 9.1737e-09
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[Cossim] TTSPadEmbed cos: 1.000000 max: 7.7486e-07 mean: 9.1737e-09
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[Cossim] L0 cos: 1.000000 max: 7.1602e-03 mean: 2.8518e-05
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[Cossim] L7 cos: 1.000000 max: 1.6060e+00 mean: 2.0806e-04
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[Cossim] L14 cos: 1.000000 max: 1.6064e+00 mean: 4.3786e-04
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[Cossim] L21 cos: 1.000000 max: 1.6055e+00 mean: 1.2727e-03
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[Cossim] L27 cos: 1.000000 max: 1.6216e+00 mean: 4.3521e-03
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[Cossim] Final cos: 1.000000 max: 6.5773e-02 mean: 6.2780e-04
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[Cossim] Logits cos: 1.000000 max: 9.5885e-03 mean: 9.8726e-04
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[Cossim] NextEmbStep0 cos: 1.000000 max: 8.3447e-07 mean: 9.2106e-09
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[Cossim] TalkerHiddenStep1 cos: 1.000000 max: 9.1410e-03 mean: 1.8990e-03
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[Cossim] CodesFull exact: 21.73% (1008 values)
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[Cossim] Audio cos: 0.367625
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[Cossim] WAV stft_cos: 0.640372 samples: 120960
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