156 lines
11 KiB
Plaintext
156 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: CPU (CPU threads: 16)
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[GGUF] ../models/qwen-talker-1.7b-base-Q8_0.gguf: 480 tensors, data at offset 5954496
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[WeightCtx] Loaded 316 tensors, 1765.0 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, 177.5 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-Q8_0.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, 30.9 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, 33.1 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=off 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 4 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 0.098112 0.854719 0.000000
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[Debug] spk-block3: [1618, 512] first4: 1.956183 0.098112 1.233075 0.246215
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[Debug] spk-mfa: [1618, 1536] first4: 0.000000 0.922732 0.615171 0.000000
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[Debug] spk-asp: [1, 3072] first4: 0.067754 0.119138 0.240900 0.344101
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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, 25.6 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 9 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: -0.120292 13.742489 -0.348104 3.009387
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[Debug] enc-transformer-out: [430, 512] first4: 0.716872 2.959070 -0.221450 0.852651
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[Debug] codec-pre-fsq: [215, 512] first4: -3.691730 -6.839433 -0.608027 2.856996
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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: 0.057635 -0.220722 -0.137297 -0.251265
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[Debug] seanet-stage0: [103200, 128] first4: 0.233614 -0.324178 0.246648 0.204675
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[Debug] seanet-stage1: [20640, 256] first4: -0.363436 0.316413 -0.575420 0.576034
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[Debug] seanet-stage3: [430, 1024] first4: -2.315332 -4.954537 -7.026399 -8.983903
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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: 0.021991 -0.008996 0.008355 -0.020301
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[Debug] trailing-text-hidden: [1, 2048] first4: -0.005262 0.008715 -0.004324 0.001049
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[Debug] tts-pad-embed: [2048] first4: -0.005262 0.008715 -0.004324 0.001049
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[Debug] spk-emb: [2048] first4: 0.098343 -0.023770 -0.011812 0.006754
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[Debug] ref-codes: [16, 215] first4: 1221.000000 2042.000000 509.000000 1522.000000
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[Debug] talker-hidden-prefill-l0: [225, 2048] first4: -0.467312 -0.069465 0.014126 -0.037120
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[Debug] talker-hidden-prefill-l7: [225, 2048] first4: -2.190666 0.156779 0.208620 1.591663
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[Debug] talker-hidden-prefill-l14: [225, 2048] first4: -1.962598 0.345440 0.321787 1.567176
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[Debug] talker-hidden-prefill-l21: [225, 2048] first4: -1.446977 0.302457 0.675166 0.977161
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[Debug] talker-hidden-prefill-l27: [225, 2048] first4: 6.696979 -34.327644 -7.302014 28.627213
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[Debug] talker-hidden-prefill-final: [225, 2048] first4: 0.227865 -1.219680 -0.230862 0.887843
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[Debug] talker-logits-prefill: [3072] first4: 1.309391 -7.886597 -6.855894 -10.555799
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[Batch] Admit slot=0 T_ctx=225 prefill=541.1 ms build=2.7 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 1408.000000 1824.000000 400.000000
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[Debug] next-emb-step0: [2048] first4: 0.010612 -0.008921 0.074940 0.036301
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[Debug] talker-hidden-step1: [2048] first4: 0.118400 2.726040 -0.843629 0.103909
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[Sample] step=1 c0=1902 u=-1.0000000000 subseq=16
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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 1408.000000 1824.000000 400.000000
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[Debug] output-audio: [122880] first4: 0.000527 0.000324 -0.000983 -0.000676
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[Perf] PromptBuild 2.7 ms
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[Perf] Prefill 541.1 ms (T_ctx prefill)
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[Perf] TTFA 1609.8 ms (first frame codes)
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[Perf] TalkerDecode 1637.8 ms (64 frames, 25.59 ms/frame)
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[Perf] CodePredictor 624.7 ms (9.76 ms/frame)
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[Perf] HostCompose 0.1 ms (c0 sample + next emb)
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[Perf] CodecDecode 1003.3 ms
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[Perf] Total 4865.2 ms (64 frames, 35.35 ms/frame AR, audio 5.12 s, RTF 0.950)
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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] Q8_0 -> ../models/qwen-talker-1.7b-base-Q8_0.gguf + ../models/qwen-tokenizer-12hz-Q8_0.gguf
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[GGML] Cmd: ../build/qwen-tts --model ../models/qwen-talker-1.7b-base-Q8_0.gguf --codec ../models/qwen-tokenizer-12hz-Q8_0.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: 90.90% (3440 values)
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[Cossim] Embed cos: 0.984762 max: 1.6364e-01 mean: 5.1406e-03
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[Cossim] TrailingText cos: 0.999999 max: 1.9968e-04 mean: 4.5182e-05
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[Cossim] TTSPadEmbed cos: 0.999999 max: 1.9968e-04 mean: 4.5182e-05
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[Cossim] L0 cos: 0.992177 max: 7.7295e-01 mean: 7.3151e-03
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[Cossim] L7 cos: 0.999982 max: 5.4097e+00 mean: 2.6624e-02
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[Cossim] L14 cos: 0.999969 max: 5.4204e+00 mean: 5.2229e-02
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[Cossim] L21 cos: 0.999712 max: 1.7888e+01 mean: 1.9992e-01
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[Cossim] L27 cos: 0.998655 max: 1.1809e+02 mean: 4.8277e-01
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[Cossim] Final cos: 0.994339 max: 1.6804e+01 mean: 1.4894e-01
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[Cossim] Logits cos: 0.999855 max: 6.7471e-01 mean: 6.7599e-02
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[Cossim] NextEmbStep0 cos: 0.829035 max: 1.5489e-01 mean: 2.9164e-02
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[Cossim] TalkerHiddenStep1 cos: 0.993414 max: 1.8272e+00 mean: 2.4874e-01
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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: 2.2967e-04 mean: 2.9508e-06
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[Cossim] SeanetResnet0 cos: 0.999998 max: 1.1875e-03 mean: 3.0708e-05
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[Cossim] SeanetStage0 cos: 0.999998 max: 3.7565e-02 mean: 1.9554e-04
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[Cossim] SeanetStage1 cos: 0.999976 max: 6.9249e-01 mean: 1.4980e-03
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[Cossim] SeanetStage3 cos: 1.000000 max: 5.3660e-01 mean: 9.7786e-03
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[Cossim] SeanetOut cos: 0.999998 max: 8.9135e-02 mean: 4.0736e-03
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[Cossim] EncTransformer cos: 0.999877 max: 8.5370e-01 mean: 2.1630e-02
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[Cossim] CodecPreFSQ cos: 0.999942 max: 4.8146e-01 mean: 3.0311e-02
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[Cossim] SpkFrontend cos: 1.000000 max: 2.6605e-03 mean: 1.1964e-04
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[Cossim] SpkBlock3 cos: 1.000000 max: 1.3163e-02 mean: 5.3422e-04
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[Cossim] SpkMFA cos: 1.000000 max: 9.8418e-03 mean: 1.3212e-04
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[Cossim] SpkASP cos: 1.000000 max: 2.6596e-04 mean: 2.3921e-05
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[Cossim] SpeakerEmb cos: 1.000000 max: 2.3174e-04 mean: 1.6094e-05
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[Cossim] CodesFull exact: 2.68% (1008 values)
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[Cossim] Audio cos: -0.002547
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[Cossim] WAV stft_cos: 0.174666 samples: 120960
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