157 lines
11 KiB
Plaintext
157 lines
11 KiB
Plaintext
[Qwen] qwentts.cpp 521503f (2026-07-20)
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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/git/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 | fp4: 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/git/qwentts.cpp/build/libggml-vulkan.so
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load_backend: loaded CPU backend from /mnt/workspace/git/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-base-Q4_K_M.gguf: 480 tensors, data at offset 5954496
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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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[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, 1 sets -> 896 MB
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[KVCache] Allocated: 5 layers, 8 KV heads, head_dim 128, max_seq_len 16, 1 sets -> 0 MB
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[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
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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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[WAV] Read buffer: 380672 samples, 22050 Hz, 1 ch, 16 bit
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[Audio-Resample] 22050 Hz -> 24000 Hz, 380672 samples...
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[Audio-Resample] Done: 380672 -> 414337 samples
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[WeightCtx] Loaded 76 tensors, 34.9 MB into backend
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[SpeakerEncoder] Loaded: enc_dim=2048 sr=24000 mel_dim=128 hidden=512 mfa=1536 asp_attn=128 se=128 scale=8
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[Pipeline] Speaker encoder lazy loaded in 3 ms
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[Debug] mel-spk: [1618, 128] first4: -6.330339 -6.170074 -6.011195 -6.243161
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[Debug] mel-hann: [1024] first4: 0.000000 0.000009 0.000038 0.000085
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[Debug] mel-basis: [128, 513] first4: 0.000000 0.033550 0.008569 0.000000
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[Debug] mel-mag: [1618, 513] first4: 0.047604 0.042322 0.042187 0.066630
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[Debug] spk-frontend: [1618, 512] first4: 0.000000 0.097904 0.854992 0.000000
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[Debug] spk-block3: [1618, 512] first4: 1.955988 0.097904 1.233304 0.246810
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[Debug] spk-mfa: [1618, 1536] first4: 0.000000 0.922734 0.614915 0.000000
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[Debug] spk-asp: [1, 3072] first4: 0.067723 0.119136 0.240880 0.344137
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[SpkExtract] Extracted 2048-dim embedding (414337 samples, padded 415105)
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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] Codec encoder lazy loaded in 8 ms
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[Debug] audio-input: [412800] first4: -0.000546 -0.001162 -0.000871 0.000340
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[Debug] seanet-out: [430, 512] first4: -0.134336 13.731120 -0.351051 3.013485
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[Debug] enc-transformer-out: [430, 512] first4: 1.140990 3.713432 0.131578 0.616251
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[Debug] codec-pre-fsq: [215, 512] first4: -2.125000 -7.546875 -2.390625 2.093750
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[Debug] seanet-init: [412800, 64] first4: -0.015825 -0.054180 -0.117431 0.038554
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[Debug] seanet-resnet0: [412800, 64] first4: 0.057661 -0.220647 -0.137337 -0.251412
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[Debug] seanet-stage0: [103200, 128] first4: 0.233175 -0.324375 0.246537 0.204760
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[Debug] seanet-stage1: [20640, 256] first4: -0.364289 0.315103 -0.575002 0.572537
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[Debug] seanet-stage3: [430, 1024] first4: -2.285276 -4.960315 -6.976110 -8.949767
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[Pipeline] ICL ref_codes: 215 frames at 12.5 Hz (412800 audio samples)
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[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
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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: [225, 2048] first4: 0.022053 -0.009240 0.008445 -0.019765
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[Debug] trailing-text-hidden: [1, 2048] first4: -0.005412 0.008948 -0.004431 0.000663
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[Debug] tts-pad-embed: [2048] first4: -0.005412 0.008948 -0.004431 0.000663
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[Debug] spk-emb: [2048] first4: 0.098318 -0.023761 -0.011860 0.006760
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[Debug] ref-codes: [16, 215] first4: 1221.000000 2042.000000 696.000000 1522.000000
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[Debug] talker-hidden-prefill-l0: [225, 2048] first4: -0.446298 -0.062077 0.007342 0.016826
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[Debug] talker-hidden-prefill-l7: [225, 2048] first4: -9.013066 0.694600 0.439148 -0.090634
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[Debug] talker-hidden-prefill-l14: [225, 2048] first4: -8.948680 1.045498 0.534990 -0.015344
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[Debug] talker-hidden-prefill-l21: [225, 2048] first4: -8.749888 1.534012 1.114061 -0.606226
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[Debug] talker-hidden-prefill-l27: [225, 2048] first4: 4.146309 -31.912390 -6.918371 22.418171
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[Debug] talker-hidden-prefill-final: [225, 2048] first4: 0.140643 -1.130366 -0.218058 0.693131
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[Debug] talker-logits-prefill: [3072] first4: -0.461190 -5.760653 -7.184410 -10.423358
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[Batch] Admit slot=0 T_ctx=225 prefill=15.2 ms build=1.5 ms (stall for 0 active slots)
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[Sample] step=0 c0=27 u=-1.0000000000 subseq=0
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[Debug] codes-step0: [16] first4: 27.000000 1042.000000 390.000000 881.000000
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[Debug] next-emb-step0: [2048] first4: -0.033968 -0.020822 -0.037756 -0.013151
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[Debug] talker-hidden-step1: [2048] first4: 1.225613 1.784957 -1.039321 1.449351
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[Sample] step=1 c0=99 u=-1.0000000000 subseq=16
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ggml_backend_cuda_graph_compute: CUDA graph warmup complete
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[Pipeline] Generated 8 frames (slot 0)
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[Pipeline] Generated 16 frames (slot 0)
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[Pipeline] Generated 24 frames (slot 0)
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[Pipeline] Generated 32 frames (slot 0)
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[Pipeline] Generated 40 frames (slot 0)
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[Pipeline] Generated 48 frames (slot 0)
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[Pipeline] Generated 56 frames (slot 0)
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[Pipeline] Generated 64 frames (slot 0)
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[Pipeline] Generation done : 64 frames
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[Debug] codes-full: [64, 16] first4: 27.000000 1042.000000 390.000000 881.000000
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[Debug] output-audio: [122880] first4: 0.000087 0.000212 -0.000383 -0.000346
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[Perf] PromptBuild 1.5 ms
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[Perf] Prefill 15.2 ms (T_ctx prefill)
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[Perf] TTFA 738.7 ms (first frame codes)
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[Perf] TalkerDecode 101.3 ms (64 frames, 1.58 ms/frame)
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[Perf] CodePredictor 193.3 ms (3.02 ms/frame)
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[Perf] HostCompose 0.1 ms (c0 sample + next emb)
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[Perf] CodecDecode 16.2 ms
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[Perf] Total 1044.4 ms (64 frames, 4.61 ms/frame AR, audio 5.12 s, RTF 0.204)
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[WAV] Wrote cpp/clone/clone-cpp.wav: 122880 samples, 24000 Hz, mono S16
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[Pipeline] Wrote 122880 samples (5.12 s) -> cpp/clone/clone-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] RefAudio: ../examples/freeman.wav
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[Input] RefText: 213 chars: If you go into different cultures, they have different conce...
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[Input] Lang: english Seed: 42 MaxNewTokens: 64
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[Input] Mode: greedy ICL
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[Python] Device: cuda
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[Python] RefWav: 414337 samples 24000 Hz 17.26s
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[Python] SpeakerEmb shape: (2048,) dtype: torch.float32
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[Python] RefCodes shape: (16, 215) (K, T_codec)
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[Python] InputIds shape: (1, 38)
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[Python] RefIds shape: (1, 53)
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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/clone/clone-python.wav
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[Quant] Q4_K_M -> ../models/qwen-talker-1.7b-base-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-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
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[GGML] Audio: 122880 samples 24000 Hz 5.12s -> cpp/clone/clone-cpp.wav
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[Cossim] PromptIDs exact: 100.00% (38 values)
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[Cossim] RefCodes exact: 50.87% (3440 values)
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[Cossim] Embed cos: 0.918413 max: 1.9968e-01 mean: 2.1851e-02
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[Cossim] TrailingText cos: 0.999967 max: 1.5879e-03 mean: 2.3631e-04
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[Cossim] TTSPadEmbed cos: 0.999967 max: 1.5879e-03 mean: 2.3631e-04
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[Cossim] L0 cos: 0.961531 max: 8.6635e-01 mean: 2.8467e-02
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[Cossim] L7 cos: 0.997437 max: 3.4802e+01 mean: 1.6356e-01
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[Cossim] L14 cos: 0.997361 max: 3.4910e+01 mean: 2.4941e-01
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[Cossim] L21 cos: 0.995762 max: 4.1094e+01 mean: 7.9335e-01
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[Cossim] L27 cos: 0.957952 max: 1.6442e+03 mean: 2.0441e+00
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[Cossim] Final cos: 0.952287 max: 2.7175e+01 mean: 5.6964e-01
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[Cossim] Logits cos: 0.991304 max: 3.3342e+00 mean: 4.9692e-01
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[Cossim] NextEmbStep0 cos: 0.709511 max: 1.6319e-01 mean: 3.8936e-02
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[Cossim] TalkerHiddenStep1 cos: 0.836093 max: 1.1068e+01 mean: 1.2121e+00
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[Cossim] MelHann cos: 1.000000 max: 1.7881e-07 mean: 3.2043e-08
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[Cossim] MelBasis cos: 1.000000 max: 1.7881e-07 mean: 3.9379e-10
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[Cossim] MelMag cos: 1.000000 max: 3.1307e-05 mean: 5.6396e-07
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[Cossim] MelSpk cos: 1.000000 max: 2.5492e-03 mean: 9.3754e-06
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[Cossim] SeanetInit cos: 1.000000 max: 4.1014e-04 mean: 3.4146e-06
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[Cossim] SeanetResnet0 cos: 0.999987 max: 1.9469e-03 mean: 9.4434e-05
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[Cossim] SeanetStage0 cos: 0.999985 max: 4.2238e-02 mean: 6.5151e-04
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[Cossim] SeanetStage1 cos: 0.999865 max: 7.6868e-01 mean: 4.9571e-03
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[Cossim] SeanetStage3 cos: 0.999995 max: 1.6565e+00 mean: 3.9086e-02
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[Cossim] SeanetOut cos: 0.999963 max: 4.1938e-01 mean: 1.7123e-02
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[Cossim] EncTransformer cos: 0.992191 max: 3.4039e+00 mean: 1.7239e-01
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[Cossim] CodecPreFSQ cos: 0.995970 max: 2.3254e+00 mean: 2.5051e-01
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[Cossim] SpkFrontend cos: 1.000000 max: 2.1511e-04 mean: 1.4566e-06
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[Cossim] SpkBlock3 cos: 1.000000 max: 3.2949e-04 mean: 4.4040e-06
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[Cossim] SpkMFA cos: 1.000000 max: 3.8069e-04 mean: 1.3207e-06
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[Cossim] SpkASP cos: 1.000000 max: 7.8678e-06 mean: 2.2438e-07
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[Cossim] SpeakerEmb cos: 1.000000 max: 1.4305e-05 mean: 2.5522e-07
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[Cossim] CodesFull exact: 0.30% (1008 values)
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[Cossim] Audio cos: -0.010168
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[Cossim] WAV stft_cos: 0.170792 samples: 120960
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