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Pascal
2026-07-04 22:47:51 +02:00
parent 4057d0331f
commit f84fc05292
12 changed files with 638 additions and 536 deletions
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tests/clone-CUDA0-Q4_K_M.log
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@@ -1,19 +1,17 @@
[Qwen] qwentts.cpp 199a658 (2026-05-31)
[Qwen] qwentts.cpp 3e3b6c1 (2026-07-04)
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
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 | 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_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: CUDA0 (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
[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-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
@@ -24,23 +22,18 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[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, 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] 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 fa=on clamp_fp16=off
[Pipeline] Loaded: arch=1b7 variant=base tokenizer=qwen3_tts_tokenizer_12hz codebooks=16 speaker_encoder=deferred speakers=0 fa=on clamp_fp16=off
[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 27 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
@@ -50,6 +43,15 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[Debug] spk-mfa: [1618, 1536] first4: 0.000000 0.922734 0.614915 0.000000
[Debug] spk-asp: [1, 3072] first4: 0.067723 0.119136 0.240880 0.344137
[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 44 ms
[Debug] audio-input: [412800] first4: -0.000546 -0.001162 -0.000871 0.000340
[Debug] seanet-out: [430, 512] first4: -0.134336 13.731120 -0.351051 3.013485
[Debug] enc-transformer-out: [430, 512] first4: 1.140990 3.713432 0.131578 0.616251
@@ -92,8 +94,9 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[Sample-CP] g=14 c=735 u=-1.0000000000 subseq=15
[Debug] codes-step0: [16] first4: 27.000000 1042.000000 390.000000 881.000000
[Debug] next-emb-step0: [2048] first4: -0.033968 -0.020822 -0.037756 -0.013151
[Debug] talker-hidden-step1: [2048] first4: 1.290885 1.802708 -1.078711 1.471289
[Debug] talker-hidden-step1: [2048] first4: 1.225613 1.784957 -1.039321 1.449351
[Sample] step=1 c0=99 u=-1.0000000000 subseq=16
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
[Sample-CP] g=0 c=43 u=-1.0000000000 subseq=17
[Sample-CP] g=1 c=1859 u=-1.0000000000 subseq=18
[Sample-CP] g=2 c=22 u=-1.0000000000 subseq=19
@@ -101,33 +104,75 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[Sample-CP] g=4 c=915 u=-1.0000000000 subseq=21
[Sample-CP] g=5 c=2019 u=-1.0000000000 subseq=22
[Sample-CP] g=6 c=329 u=-1.0000000000 subseq=23
[Sample-CP] g=7 c=996 u=-1.0000000000 subseq=24
[Sample-CP] g=8 c=1673 u=-1.0000000000 subseq=25
[Sample-CP] g=9 c=1652 u=-1.0000000000 subseq=26
[Sample-CP] g=10 c=1615 u=-1.0000000000 subseq=27
[Sample-CP] g=11 c=914 u=-1.0000000000 subseq=28
[Sample-CP] g=12 c=344 u=-1.0000000000 subseq=29
[Sample-CP] g=13 c=85 u=-1.0000000000 subseq=30
[Sample-CP] g=14 c=1435 u=-1.0000000000 subseq=31
[Sample-CP] g=7 c=241 u=-1.0000000000 subseq=24
[Sample-CP] g=8 c=1004 u=-1.0000000000 subseq=25
[Sample-CP] g=9 c=826 u=-1.0000000000 subseq=26
[Sample-CP] g=10 c=1603 u=-1.0000000000 subseq=27
[Sample-CP] g=11 c=1160 u=-1.0000000000 subseq=28
[Sample-CP] g=12 c=1759 u=-1.0000000000 subseq=29
[Sample-CP] g=13 c=591 u=-1.0000000000 subseq=30
[Sample-CP] g=14 c=901 u=-1.0000000000 subseq=31
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
[Pipeline] Generated 8 frames
[Pipeline] Generated 16 frames
[Pipeline] Generated 24 frames
[Pipeline] Generated 32 frames
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup reset
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
ggml_backend_cuda_graph_compute: CUDA graph warmup complete
[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 1042.000000 390.000000 881.000000
[Debug] output-audio: [122880] first4: -0.001003 -0.001738 -0.001707 -0.000971
[Perf] PromptBuild 56.7 ms
[Perf] Prefill 15.2 ms (T_ctx prefill)
[Perf] TTFA 81.0 ms (first frame codes)
[Perf] TalkerDecode 199.4 ms (64 frames, 3.12 ms/frame)
[Perf] CodePredictor 450.5 ms (7.04 ms/frame)
[Perf] HostCompose 2.6 ms (c0 sample + next emb)
[Perf] CodecDecode 11.0 ms
[Perf] Total 736.4 ms (64 frames, 10.20 ms/frame AR, audio 5.12 s, RTF 0.144)
[Debug] output-audio: [122880] first4: 0.000087 0.000212 -0.000383 -0.000346
[Perf] PromptBuild 55.2 ms
[Perf] Prefill 14.2 ms (T_ctx prefill)
[Perf] TTFA 77.1 ms (first frame codes)
[Perf] TalkerDecode 231.8 ms (64 frames, 3.62 ms/frame)
[Perf] CodePredictor 358.2 ms (5.60 ms/frame)
[Perf] HostCompose 0.1 ms (c0 sample + next emb)
[Perf] CodecDecode 15.8 ms
[Perf] Total 676.2 ms (64 frames, 9.22 ms/frame AR, audio 5.12 s, RTF 0.132)
[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...
@@ -159,7 +204,7 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[Cossim] Final cos: 0.952287 max: 2.7175e+01 mean: 5.6964e-01
[Cossim] Logits cos: 0.991304 max: 3.3342e+00 mean: 4.9692e-01
[Cossim] NextEmbStep0 cos: 0.709511 max: 1.6319e-01 mean: 3.8936e-02
[Cossim] TalkerHiddenStep1 cos: 0.836398 max: 1.1069e+01 mean: 1.2096e+00
[Cossim] TalkerHiddenStep1 cos: 0.836093 max: 1.1068e+01 mean: 1.2121e+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
@@ -177,6 +222,6 @@ load_backend: loaded CPU backend from /mnt/workspace/qwentts.cpp/build/libggml-c
[Cossim] SpkMFA cos: 1.000000 max: 3.8069e-04 mean: 1.3207e-06
[Cossim] SpkASP cos: 1.000000 max: 7.8678e-06 mean: 2.2438e-07
[Cossim] SpeakerEmb cos: 1.000000 max: 1.4305e-05 mean: 2.5522e-07
[Cossim] CodesFull exact: 0.60% (1008 values)
[Cossim] Audio cos: 0.001172
[Cossim] WAV stft_cos: 0.129338 samples: 120960
[Cossim] CodesFull exact: 0.30% (1008 values)
[Cossim] Audio cos: -0.010168
[Cossim] WAV stft_cos: 0.170792 samples: 120960