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kari_mikumao Lab

Research notes

Hatsune Miku V6 AI: a fault map from the weights and the renderer

Why Miku V6 AI sounds noisy above 2 kHz, stops at 16 kHz and resists tuning - measured only on the installed model weights and VOCALOID 6's own renders, with listening examples against Kagamine Rin V4X.

  • vocaloid
  • hatsune-miku
  • singing-synthesis
  • neural-audio

The complaints about Hatsune Miku V6 AI are consistent. People hear “engine noise” or buzz. They say she has one colour. They say tuning feels dead: you move a slider and very little happens.

I wanted to know where each of those lives. Some of it could be in what the network learned, some in the hand-written synthesizer that turns the network’s output into sound, and some in how the editor feeds the network. Those need very different fixes, so the first job is a map.

How I Measured

Everything here comes from three sources, and nothing else:

  • The installed V6 weights, read in place: Miku V6 Original and Soft (voice package 6.12.0), asa (6.3.0), and VOCALOID 6’s shared pitch model. Only summary statistics appear in this post.
  • VOCALOID 6’s own renders: native Audio Mixdown exports from VOCALOID 6.13.3, with every effect plug-in bypassed.
  • A static reading of the engine library: class names, loader checks and the synthesis path.

The main test material is the 38-note, 20-second opening phrase of doriko’s 歌に形はないけれど, sung untuned by Miku Original, Miku Soft and asa. Rin and Len sing the same notes. Measurements are measurements. Where I say something sounds a certain way, that is my ear, and I say so.

The listening examples in this post are synthetic single-note probes. The phrase and the 星のカケラ project below are other people’s music, so the comparisons on them stay as numbers.

Why the reference is Rin, not Miku V4X

The obvious control would be Miku V4X: the same character, sung from recorded samples instead of a neural network. But my copy of Hatsune Miku V4X is on a machine I left in Canada, and I don’t have its licence key with me.

So the recorded-sample reference is Kagamine Rin V4X, with Len V4X alongside for the numbers. VOCALOID 6 renders both on the same phrase. Treat them as a reference for how this application renders a recorded voice, not as a timbre Miku should match. They are different singers, and their takes carry my accepted tuned phrasing while the V6 takes are untuned. I flag that wherever it matters.

What the Model Is

V6 AI is not a model that outputs waveform samples. It is a frame-level acoustic model driving a classic vocoder.

  • Network class. One C++ class, WaveNet: gated tanh·sigmoid dilated convolutions with skip sums. Residual connections are switched off. The parameter names suggest it was trained in PyTorch.
  • Timbre decoder. Causal, 8 layers, kernel 3, dilations 1 2 4 8 16 1 2 4. That gives it about 385 ms of memory. It has 1.40 million parameters, stored as float16, with no bias terms.
  • Output. 216 vocoder parameters every 5 ms: a 96-point harmonic envelope, 96 noise offsets, 4 phase and 4 width controls, and 16 values nothing reads.
  • Sound. A hand-written harmonic-plus-noise synthesizer running at 32 kHz, resampled to 44.1 kHz.
  • Autoregression. The decoder’s input for the next frame is a 16 + 80 band analysis of the audio it just synthesized, plus Gaussian noise at 0.1.
  • Shared parts. The phone inventory (130 symbols across Japanese, English and Chinese) and the pitch encoder are identical in every installed V6 model.

The lineage is Bonada and Blaauw’s neural parametric singing synthesizer. Their 2021 causal decoder uses exactly the same dilations, and Yamaha’s patent application US20240265902A1 describes a model that predicts a harmonic envelope, phase parameters and a noise envelope, then re-analyses its own output and feeds it back. One difference from the papers is worth noting: they add input noise only during training, while the shipped engine adds it at inference too, probably to keep the loop stable.

The render chain, in order:

  1. The lyrics become phones. A phonetic encoder turns them into latent vectors.
  2. A separate pitch model (encoder, context and generator networks) produces the pitch curve, then your pitch edits are applied.
  3. A conditioning network combines phone latents, pitch and Expression.
  4. The timbre decoder predicts 216 parameters per 5 ms frame.
  5. The synthesizer renders harmonics and noise at 32 kHz.
  6. The new audio is re-analysed and fed back into the decoder for the next frame.
Figure 1 · The V6 AI inference chain and where it falls short
Dynamics, Air and Character skip the networks and act in or after synthesis phones, timings final pitch 216 re-analysed every 5 ms f0 Score and controls notes, lyrics, phones Expression, Dynamics, Air Timing model gated conv over notes 82 features → 3 timings Pitch model WaveNet, autoregressive shared base, fine-tuned Phonetic encoder WaveNet, centred, 9 layers 415 → 40 latents 32 of 40 read Conditioning net WaveNet, 4 layers 36 → 128 channels phones, pitch, Expression Style table 10 × 16, entry 0 used Self-analysis 16 + 80 band levels, dB + 0.1 × Gaussian noise → 96 decoder inputs Timbre decoder causal WaveNet, 8 layers 216 outputs per 5 ms 1.40 M params, float16 200 outputs read Harmonic + noise synth 32 kHz, hand-written phase filter, power guard harmonics capped > 10 kHz Output gains → 44.1 kHz 1 2 3 4 5 6 7 WaveNet network hand-written DSP fault, numbered as in the post

Blue blocks are WaveNet networks; shaded blocks are hand-written DSP. Numbers mark the faults in this post.

Data table
BlockKindWhat it doesFaults
Pitch modelWaveNetautoregressive, the shared model fine-tuned5
Phonetic encoderWaveNetphones to 40 latents; 32 are read6
Conditioning netWaveNetcombines phone latents, pitch and Expression6, 7
Style tabletable10 × 16, entry 0 used4
Timbre decoderWaveNet216 parameters per 5 ms; 200 are read1, 3, 6
Harmonic + noise synthDSPsynthesizes at 32 kHz, caps harmonics above 10 kHz1, 2
Self-analysisDSP16 + 80 band analysis of the synthesized audio, fed back—
OutputDSPgains such as Dynamics, resampled to 44.1 kHz2, 7

The Faults at a Glance

  1. Noisy upper spectrum. Above 2 kHz, Miku Original is 6–9 dB less harmonic than the recorded voices. Synthesizer and decoder; every V6 AI voice.
  2. A 16 kHz ceiling. Above 16.5 kHz the V6 voices carry about 15 dB less energy. Synthesizer; every V6 AI voice.
  3. Mid-heavy, with a dark top. 5–8 dB extra at 500–800 Hz; Miku is 6–11 dB darker than asa above 6 kHz. Decoder weights.
  4. Few styles, one used. Ten timbre styles, two of them untrained-looking, and the engine always picks the first. Miku’s style tables.
  5. A generic pitch model. Miku’s pitch encoder is the shared one, byte for byte. Pitch weights.
  6. Trained parts that never run. Decoder outputs, encoder outputs and a conditioning input are trained and then discarded. Weights and engine code.
  7. Controls barely reach the networks. Only Expression and pitch are network inputs. Host and model.

1. The Upper Spectrum Is Mostly Noise

On the same phrase, VOCALOID 6 renders the AI voices with much weaker harmonic structure above 1 kHz than the recorded-sample voices. I measured each band as the harmonic peak level minus the level midway between harmonics, over steady voiced frames:

  • 2–4 kHz: Miku Original 26.7 dB, Soft 19.1, asa 11.2. Rin 32.1, Len 33.2.
  • 4–6 kHz: Miku Original 19.4 dB against about 27.5 for the recorded voices.
  • 6–12 kHz: Miku Original 10–12 dB against 18–21.

Miku Original is the cleanest V6 voice, and it is still 6–9 dB short from 2 to 12 kHz. Soft, the breathier bank, is lower again, and asa lower still. Between the harmonics, where a recorded voice is clean, the V6 voices carry noise. That is the most likely source of what people call engine noise.

Figure 2 · Harmonic clarity per band
  • Miku Original
  • recorded voices (Rin, Len V4X)
  • asa
dB 0 10 20 30 40 50 0.3–1k 1–2k 2–4k 4–6k 6–8k 8–12k 12–16k Miku Original · 0.3–1k: 43.1 dB Miku Original · 1–2k: 35.7 dB Miku Original · 2–4k: 26.7 dB Miku Original · 4–6k: 19.4 dB Miku Original · 6–8k: 11.8 dB Miku Original · 8–12k: 10.0 dB Miku Original · 12–16k: 9.4 dB recorded voices · 0.3–1k: 45.5 dB recorded voices · 1–2k: 41.3 dB recorded voices · 2–4k: 32.7 dB recorded voices · 4–6k: 27.5 dB recorded voices · 6–8k: 20.5 dB recorded voices · 8–12k: 18.3 dB recorded voices · 12–16k: 14.1 dB asa · 0.3–1k: 37.3 dB asa · 1–2k: 20.3 dB asa · 2–4k: 11.2 dB asa · 4–6k: 8.9 dB asa · 6–8k: 7.6 dB asa · 8–12k: 6.4 dB asa · 12–16k: 8.0 dB Miku Original recorded voices asa

Harmonic peak level minus the level midway between harmonics, over steady voiced frames of the same 20-second phrase. Recorded voices: the mean of Rin and Len V4X, whose takes are tuned; the V6 takes are untuned. Miku Soft is in the table.

Data table
BandMiku OriginalMiku SoftasaRin V4X (recorded)Len V4X (recorded)
300–1000 Hz43.140.737.345.245.8
1000–2000 Hz35.729.320.340.142.4
2000–4000 Hz26.719.111.232.133.2
4000–6000 Hz19.414.18.927.727.2
6000–8000 Hz11.88.87.620.620.4
8000–12000 Hz10.07.56.418.118.4
12000–16000 Hz9.48.48.013.414.8

2. Nothing Above 16 kHz

The synthesizer runs at 32 kHz, so its output ends at 16 kHz before it is resampled to 44.1 kHz. Harmonics above 10 kHz are also capped at the level of the loudest harmonic below 4 kHz. Measured on steady voiced frames, every V6 AI voice carries about 15 dB less energy above 16.5 kHz than the recorded-sample voices that the same application renders.

This is a property of the synthesizer, not the network. No amount of tuning gets air back above 16 kHz.

Figure 3 · Energy above 16.5 kHz
  • Miku (V6 AI)
  • asa (V6 AI)
  • recorded voices (V4X)
−80 −70 −60 −50 dB re frame energy Miku Original: −75.8 dB re frame energy Miku Original −75.8 Miku Soft: −72.8 dB re frame energy Miku Soft −72.8 asa: −76.2 dB re frame energy asa −76.2 Rin V4X (recorded): −60.4 dB re frame energy Rin V4X (recorded) −60.4 Len V4X (recorded): −58.9 dB re frame energy Len V4X (recorded) −58.9

Share of each steady voiced frame's energy above 16.5 kHz, in dB relative to the whole frame. The V6 AI voices sit about 15 dB below the recorded-sample voices.

Data table
VoiceAbove 16.5 kHz (dB)
Miku Original−75.8
Miku Soft−72.8
asa−76.2
Rin V4X (recorded)−60.4
Len V4X (recorded)−58.9

The synthesizer also clears the two lowest noise bins (0 and 62.5 Hz) every frame, behind a switch in the voicebank’s timbre configuration. That keeps DC and sub-bass rumble out of the noise layer. It is not a fault, but it is the kind of quiet detail that shapes how rests and closures sound.

3. Mid-Heavy, With a Dark Top End

Relative to 1 kHz, both V6 AI voices carry 5–8 dB more energy at 500–800 Hz than the recorded voices on the same phrase. From 2.5 to 5 kHz Miku Original stays within 3 dB of them. Above 6 kHz, Miku is 6–11 dB darker than asa.

Figure 4 · Long-term spectrum
  • Miku Original
  • recorded voices (Rin, Len V4X)
  • asa
dB re 1 kHz −40 −30 −20 −10 0 10 20 200 500 1k 2k 5k 10k Miku Original · 200 Hz: −23.1 dB re 1 kHz Miku Original · 250 Hz: −7.7 dB re 1 kHz Miku Original · 315 Hz: 0.2 dB re 1 kHz Miku Original · 400 Hz: −1.3 dB re 1 kHz Miku Original · 500 Hz: −13.8 dB re 1 kHz Miku Original · 630 Hz: −2.0 dB re 1 kHz Miku Original · 800 Hz: −0.5 dB re 1 kHz Miku Original · 1k Hz: 0.0 dB re 1 kHz Miku Original · 1.25k Hz: 1.0 dB re 1 kHz Miku Original · 1.6k Hz: −3.0 dB re 1 kHz Miku Original · 2k Hz: −6.4 dB re 1 kHz Miku Original · 2.5k Hz: −17.1 dB re 1 kHz Miku Original · 3.15k Hz: −18.1 dB re 1 kHz Miku Original · 4k Hz: −11.5 dB re 1 kHz Miku Original · 5k Hz: −17.6 dB re 1 kHz Miku Original · 6.3k Hz: −29.3 dB re 1 kHz Miku Original · 8k Hz: −29.3 dB re 1 kHz Miku Original · 10k Hz: −25.0 dB re 1 kHz Miku Original · 12.5k Hz: −29.1 dB re 1 kHz recorded voices · 200 Hz: −32.4 dB re 1 kHz recorded voices · 250 Hz: −17.0 dB re 1 kHz recorded voices · 315 Hz: −4.8 dB re 1 kHz recorded voices · 400 Hz: −7.0 dB re 1 kHz recorded voices · 500 Hz: −18.8 dB re 1 kHz recorded voices · 630 Hz: −7.7 dB re 1 kHz recorded voices · 800 Hz: −5.2 dB re 1 kHz recorded voices · 1k Hz: 0.0 dB re 1 kHz recorded voices · 1.25k Hz: −0.4 dB re 1 kHz recorded voices · 1.6k Hz: −3.1 dB re 1 kHz recorded voices · 2k Hz: −10.6 dB re 1 kHz recorded voices · 2.5k Hz: −15.4 dB re 1 kHz recorded voices · 3.15k Hz: −15.4 dB re 1 kHz recorded voices · 4k Hz: −9.9 dB re 1 kHz recorded voices · 5k Hz: −16.6 dB re 1 kHz recorded voices · 6.3k Hz: −33.5 dB re 1 kHz recorded voices · 8k Hz: −27.2 dB re 1 kHz recorded voices · 10k Hz: −27.6 dB re 1 kHz recorded voices · 12.5k Hz: −33.6 dB re 1 kHz asa · 200 Hz: −8.9 dB re 1 kHz asa · 250 Hz: 2.4 dB re 1 kHz asa · 315 Hz: 11.2 dB re 1 kHz asa · 400 Hz: 7.1 dB re 1 kHz asa · 500 Hz: −11.3 dB re 1 kHz asa · 630 Hz: −0.7 dB re 1 kHz asa · 800 Hz: 2.4 dB re 1 kHz asa · 1k Hz: 0.0 dB re 1 kHz asa · 1.25k Hz: −6.0 dB re 1 kHz asa · 1.6k Hz: −7.7 dB re 1 kHz asa · 2k Hz: −7.5 dB re 1 kHz asa · 2.5k Hz: −16.8 dB re 1 kHz asa · 3.15k Hz: −15.1 dB re 1 kHz asa · 4k Hz: −14.7 dB re 1 kHz asa · 5k Hz: −15.2 dB re 1 kHz asa · 6.3k Hz: −22.3 dB re 1 kHz asa · 8k Hz: −23.0 dB re 1 kHz asa · 10k Hz: −16.1 dB re 1 kHz asa · 12.5k Hz: −18.6 dB re 1 kHz Miku Original recorded voices asa

One-third-octave bands of steady voiced frames, relative to the 1 kHz band. Same phrase, native renders. Recorded voices: the mean of Rin and Len V4X.

Data table
Band (Hz)Miku OriginalMiku Softasarecorded voices
200−23.1−20.5−8.9−32.4
250−7.7−4.8+2.4−17.0
315+0.2+3.9+11.2−4.8
400−1.3+1.8+7.1−7.0
500−13.8−11.4−11.3−18.8
630−2.0−1.4−0.7−7.7
800−0.5+0.3+2.4−5.2
1k0.00.00.00.0
1.25k+1.0+0.2−6.0−0.4
1.6k−3.0−5.9−7.7−3.1
2k−6.4−7.7−7.5−10.6
2.5k−17.1−19.9−16.8−15.4
3.15k−18.1−20.9−15.1−15.4
4k−11.5−15.3−14.7−9.9
5k−17.6−20.2−15.2−16.6
6.3k−29.3−28.1−22.3−33.5
8k−29.3−27.5−23.0−27.2
10k−25.0−22.9−16.1−27.6
12.5k−29.1−25.9−18.6−33.6

In the engine code, harmonic amplitudes come straight from the decoder’s predicted envelope. The synthesizer does not add this balance. The network learned it.

4. Few Styles, and Only One in Use

The decoder takes a 16-value style vector from a table. Miku’s timbre table has 10 entries:

  • VOCALOID 6 uses entry 0 for both Miku banks. The row comes from the installed bank’s metadata.
  • Entries 1–7 are distinct, trained vectors, 1.17–1.53 in length against 0.96 for entry 0.
  • Entries 8 and 9 are 0.36 long, a quarter to a third of the others. They look untrained.

This table is not the Style menu in the editor. VOCALOID 6 ships 14 Miku styles (Default, Cute, Dark, Whisper, Robot and others), and each one is a preset of part settings: Voice Color offsets for Expression, Character and Air, a Take slot, breath and robot-voice settings, and three audio effects. None of the preset files stores a style-table row. Takes are timing variations. Takes 1–5 are the timing network’s five categories at full onset strength, and Takes 6–10 are the same five at 0.6. The pitch and timbre rows stay at the bank’s 0 whichever Take is chosen. So picking MIKU Breath sets Take 8: timing category 2 at reduced onset strength, plus its own Air, Expression and Character offsets. I found no editor control that reaches the other rows. I checked the Takes natively too. I exported Takes 1–10 on a single sustained あ and on the 38-note phrase. All twenty files differ, so the Take does reach the renderer. But between Takes the steady-state spectrum moves by at most 0.08 dB, against 2.4 dB between Miku Original and Soft on the same phrase. What changes is timing and pitch, and only slightly: note onsets shift by a median of 3–5 ms, and pitch differs by about 0.6 cents (6–8 cents at the 90th percentile). No Take reaches another timbre row. The engine does contain a routine that blends between rows, but nothing in the editor that I’ve tested selects one.

asa’s timbre and pitch tables each hold 226 entries, and the shared pitch model 105, which fits Yamaha’s description of per-song style vectors. Miku’s pitch table has five. Miku was trained with far fewer styles than the newer voices, and the renderer uses one of them. That matches the “one colour” complaint closely.

Figure 5 · Miku's timbre style table
  • used by VOCALOID 6
  • untrained-looking
  • other trained entries
vector length 0.0 0.5 1.0 1.5 2.0 entry 0: 0.96 0.96 entry 1: 1.18 entry 2: 1.36 entry 3: 1.53 entry 4: 1.20 entry 5: 1.52 entry 6: 1.23 entry 7: 1.26 entry 8: 0.36 0.36 entry 9: 0.36 0.36 0 1 2 3 4 5 6 7 8 9

Length of each 16-value style vector, Original bank. asa's table holds 226 entries and the shared pitch model 105.

Data table
EntryLength
00.96
11.18
21.36
31.53
41.20
51.52
61.23
71.26
80.36
90.36
Figure 6 · Changing the Take leaves the timbre alone
  • Take, against Take 1
  • reference changes, same phrase
0 1 2 3 4 5 6 dB RMS Take 2: 0.06 dB RMS Take 2 0.06 Take 3: 0.07 dB RMS Take 3 0.07 Take 4: 0.08 dB RMS Take 4 0.08 Take 5: 0.04 dB RMS Take 5 0.04 Take 6: 0.04 dB RMS Take 6 0.04 Take 7: 0.06 dB RMS Take 7 0.06 Take 8: 0.07 dB RMS Take 8 0.07 Take 9: 0.07 dB RMS Take 9 0.07 Take 10: 0.06 dB RMS Take 10 0.06 the same tuning program: 0.89 dB RMS the same tuning program 0.89 Miku Soft vs Original: 2.40 dB RMS Miku Soft vs Original 2.40 asa vs Miku Original: 5.35 dB RMS asa vs Miku Original 5.35

Timbre change of each Take against Take 1 (RMS of the one-third-octave change after removing level, 250 Hz–10 kHz), Miku Original, native exports of the 38-note phrase. The last three rows measure other changes to the same phrase the same way. On a single sustained note the Takes move it 0.01–0.05 dB.

Data table
TakeTiming categoryOnset strengthTimbre, phrase (dB)Timbre, note (dB)Onset shift (ms, median)Pitch difference (cents, median / p90)
Take 101.00.000.00——
Take 211.00.060.044.50.64 / 6.7
Take 321.00.070.015.00.60 / 7.8
Take 431.00.080.054.00.51 / 6.7
Take 541.00.040.014.50.65 / 6.1
Take 600.60.040.035.00.62 / 6.4
Take 710.60.060.023.00.62 / 6.3
Take 820.60.070.034.50.60 / 6.0
Take 930.60.070.023.50.61 / 6.7
Take 1040.60.060.034.00.62 / 6.1

5. A Generic Pitch Model With a Light Miku Fine-Tune

Pitch carries a lot of a singer’s character: attacks, scoops, drift. Comparing the installed networks tensor by tensor:

  • Pitch encoder: byte-identical in Miku, asa and the shared VOCALOID 6 pitch model.
  • Pitch context and generator: Miku is the shared model moved by a median 24–26 %. asa is moved 18–20 %.
  • Timbre: Miku’s and asa’s timbre networks are unrelated (more than 130 % apart, cosine near zero).
  • Soft against Original: the encoders are identical, and the decoder moved by a median 2.4 %. The first gated layer, the one that reads the fed-back analysis, moved most (4.9 %); the later layers about 2 %. The conditioning network moved 3.0 %.
Figure 7 · How far apart the installed networks are
0 25 50 75 100 125 150 % median difference Pitch encoder · Miku vs shared: 0 (identical) % median difference Pitch encoder · Miku vs shared 0 (identical) Pitch encoder · asa vs shared: 0 (identical) % median difference Pitch encoder · asa vs shared 0 (identical) Pitch context · Miku vs shared: 24.3 % median difference Pitch context · Miku vs shared 24.3 Pitch generator · Miku vs shared: 25.5 % median difference Pitch generator · Miku vs shared 25.5 Pitch context · asa vs shared: 17.6 % median difference Pitch context · asa vs shared 17.6 Pitch generator · asa vs shared: 20.4 % median difference Pitch generator · asa vs shared 20.4 Timbre decoder · Soft vs Original: 2.4 % median difference Timbre decoder · Soft vs Original 2.4 Timbre decoder · Miku vs asa: 131.8 % median difference Timbre decoder · Miku vs asa 131.8 Phonetic encoder · Miku vs asa: 133.4 % median difference Phonetic encoder · Miku vs asa 133.4

Median relative difference ‖a − b‖ / ‖a‖ over corresponding weight tensors. 0 % is identical; past 100 % the networks are unrelated.

Data table
ComparisonTensorsIdenticalMedian (%)Max (%)
Pitch encoder · Miku vs shared33330.00.0
Pitch encoder · asa vs shared33330.00.0
Pitch context · Miku vs shared54024.352.1
Pitch generator · Miku vs shared38025.538.1
Pitch context · asa vs shared54017.642.5
Pitch generator · asa vs shared38020.427.0
Timbre decoder · Soft vs Original3002.44.9
Timbre decoder · Miku vs asa280131.8153.1
Phonetic encoder · Miku vs asa330133.4162.1

So Miku’s timbre is her own network, Soft is a light fine-tune of Original, and her pitch behaviour is the shared VOCALOID 6 model adjusted about as far as any other voice’s.

Figure 8 · Where the Soft fine-tune changed the decoder
  • gated convolution
  • conditioning projection
  • skip / output projections
% difference 0 1 2 3 4 5 6 input projection · gated convolution: 3.68 % difference layer 0, dilation 1 · gated convolution: 4.88 % difference 4.9 layer 0, dilation 1 · conditioning projection: 1.92 % difference layer 0, dilation 1 · skip / output projections: 3.71 % difference layer 1, dilation 2 · gated convolution: 2.44 % difference layer 1, dilation 2 · conditioning projection: 2.33 % difference layer 1, dilation 2 · skip / output projections: 3.14 % difference layer 2, dilation 4 · gated convolution: 2.17 % difference layer 2, dilation 4 · conditioning projection: 2.24 % difference layer 2, dilation 4 · skip / output projections: 3.36 % difference layer 3, dilation 8 · gated convolution: 2.03 % difference layer 3, dilation 8 · conditioning projection: 2.19 % difference layer 3, dilation 8 · skip / output projections: 3.14 % difference layer 4, dilation 16 · gated convolution: 1.96 % difference layer 4, dilation 16 · conditioning projection: 2.01 % difference layer 4, dilation 16 · skip / output projections: 3.07 % difference layer 5, dilation 1 · gated convolution: 1.95 % difference layer 5, dilation 1 · conditioning projection: 2.16 % difference layer 5, dilation 1 · skip / output projections: 3.23 % difference layer 6, dilation 2 · gated convolution: 1.89 % difference layer 6, dilation 2 · conditioning projection: 2.31 % difference layer 6, dilation 2 · skip / output projections: 3.08 % difference layer 7, dilation 4 · gated convolution: 1.86 % difference layer 7, dilation 4 · conditioning projection: 2.10 % difference layer 7, dilation 4 · skip / output projections: 2.45 % difference head (skip conditioning, output projections) · conditioning projection: 3.92 % difference head (skip conditioning, output projections) · skip / output projections: 3.12 % difference input L0 L1 L2 L3 L4 L5 L6 L7 head

Relative difference ‖O − S‖ / ‖O‖ per weight tensor, Miku Original against Soft. The first gated layer, which reads the fed-back analysis, moved most (4.9 %); later layers about 2 %. Head: skip conditioning, and the mean of the three output projections.

Data table
TensorValuesDifference (%)Cosine
pre.w9,2163.680.99935
L0.main(d1).w55,2964.880.99882
L0.cond.w27,6481.920.99982
L0.skip.w36,8643.710.99931
L1.main(d2).w55,2962.440.99970
L1.cond.w27,6482.330.99973
L1.skip.w36,8643.140.99951
L2.main(d4).w55,2962.170.99976
L2.cond.w27,6482.240.99975
L2.skip.w36,8643.360.99943
L3.main(d8).w55,2962.030.99979
L3.cond.w27,6482.190.99976
L3.skip.w36,8643.140.99951
L4.main(d16).w55,2961.960.99981
L4.cond.w27,6482.010.99980
L4.skip.w36,8643.070.99953
L5.main(d1).w55,2961.950.99981
L5.cond.w27,6482.160.99977
L5.skip.w36,8643.230.99948
L6.main(d2).w55,2961.890.99982
L6.cond.w27,6482.310.99974
L6.skip.w36,8643.080.99953
L7.main(d4).w55,2961.860.99983
L7.cond.w27,6482.100.99978
L7.skip.w36,8642.450.99970
skip_cond.w55,2963.920.99923
post0.w147,4562.990.99956
post1.w147,4563.140.99951
out.w82,9443.230.99948
embedding1600.990.99995

6. Trained Parts That Never Run

Three parts of Miku’s networks were trained and are then thrown away at render time:

  • 16 decoder outputs. The decoder predicts 216 values per frame and the synthesizer reads 200. asa’s decoder has exactly 200 outputs, so the extra 16 are Miku-specific. They are trained to the same size as the phase and width rows the synthesizer does use, so they probably carry a feature this synthesizer configuration ignores. Yamaha’s patent mentions an optional growl envelope. That link is unconfirmed.
  • 8 encoder outputs. The phonetic encoder produces 40 latents and the conditioning network reads 32.
  • One conditioning input. Input 34 carries trained weight (0.48), yet VOCALOID 6 always feeds it 0 through an explicit zero override. asa has the same input (0.44), so this one is engine-wide.
Figure 9 · The decoder's 216 outputs
  • phase and width rows (read)
  • never read
  • envelope and noise rows (read)
row length 0 1 2 3 4 output 0: 1.42 output 1: 1.74 output 2: 1.55 output 3: 1.61 output 4: 1.53 output 5: 1.51 output 6: 1.55 output 7: 1.66 output 8: 1.68 output 9: 1.68 output 10: 1.59 output 11: 1.66 output 12: 1.74 output 13: 1.81 output 14: 1.96 output 15: 2.10 output 16: 2.11 output 17: 2.10 output 18: 2.09 output 19: 2.07 output 20: 2.14 output 21: 2.19 output 22: 2.32 output 23: 2.25 output 24: 2.21 output 25: 2.17 output 26: 2.04 output 27: 2.08 output 28: 2.04 output 29: 2.15 output 30: 2.13 output 31: 2.09 output 32: 2.21 output 33: 2.23 output 34: 2.14 output 35: 2.17 output 36: 2.19 output 37: 2.35 output 38: 2.49 output 39: 2.26 output 40: 2.16 output 41: 2.13 output 42: 2.19 output 43: 2.26 output 44: 2.13 output 45: 2.08 output 46: 2.04 output 47: 2.10 output 48: 2.11 output 49: 2.24 output 50: 2.23 output 51: 2.36 output 52: 2.39 output 53: 2.44 output 54: 2.44 output 55: 2.31 output 56: 2.52 output 57: 2.19 output 58: 2.28 output 59: 2.35 output 60: 2.25 output 61: 2.34 output 62: 2.35 output 63: 2.28 output 64: 2.34 output 65: 2.33 output 66: 2.13 output 67: 2.19 output 68: 2.36 output 69: 2.25 output 70: 2.13 output 71: 2.27 output 72: 2.27 output 73: 2.32 output 74: 2.37 output 75: 2.32 output 76: 2.32 output 77: 2.20 output 78: 2.29 output 79: 2.42 output 80: 2.31 output 81: 2.39 output 82: 2.23 output 83: 2.21 output 84: 2.46 output 85: 2.18 output 86: 2.23 output 87: 2.12 output 88: 2.24 output 89: 2.46 output 90: 2.33 output 91: 2.10 output 92: 2.19 output 93: 2.21 output 94: 2.06 output 95: 2.68 output 96: 1.21 output 97: 3.56 output 98: 2.50 output 99: 2.36 output 100: 1.92 output 101: 2.03 output 102: 2.04 output 103: 1.75 output 104: 2.01 output 105: 2.30 output 106: 1.95 output 107: 2.23 output 108: 2.21 output 109: 2.25 output 110: 2.02 output 111: 2.27 output 112: 2.51 output 113: 2.58 output 114: 2.64 output 115: 2.31 output 116: 3.41 output 117: 2.58 output 118: 2.59 output 119: 2.45 output 120: 2.27 output 121: 2.55 output 122: 2.75 output 123: 2.59 output 124: 2.52 output 125: 2.72 output 126: 2.02 output 127: 2.21 output 128: 2.29 output 129: 2.66 output 130: 2.43 output 131: 2.89 output 132: 2.14 output 133: 2.42 output 134: 2.14 output 135: 2.46 output 136: 2.62 output 137: 2.50 output 138: 2.59 output 139: 2.53 output 140: 2.28 output 141: 2.75 output 142: 2.56 output 143: 2.49 output 144: 2.58 output 145: 2.88 output 146: 2.34 output 147: 3.60 output 148: 2.37 output 149: 3.20 output 150: 2.14 output 151: 2.52 output 152: 2.83 output 153: 2.29 output 154: 2.05 output 155: 2.49 output 156: 2.05 output 157: 2.11 output 158: 3.19 output 159: 1.99 output 160: 2.36 output 161: 1.76 output 162: 1.99 output 163: 1.71 output 164: 1.80 output 165: 2.63 output 166: 1.66 output 167: 2.23 output 168: 1.60 output 169: 2.32 output 170: 1.68 output 171: 2.17 output 172: 1.92 output 173: 1.72 output 174: 2.21 output 175: 1.91 output 176: 2.02 output 177: 1.80 output 178: 2.01 output 179: 1.76 output 180: 2.08 output 181: 2.02 output 182: 1.60 output 183: 1.57 output 184: 1.58 output 185: 1.89 output 186: 1.70 output 187: 1.51 output 188: 2.03 output 189: 1.55 output 190: 1.32 output 191: 1.11 output 192: 0.42 output 193: 0.44 output 194: 0.43 output 195: 0.43 output 196: 0.42 output 197: 0.43 output 198: 0.43 output 199: 0.41 output 200: 0.44 output 201: 0.43 output 202: 0.43 output 203: 0.44 output 204: 0.44 output 205: 0.43 output 206: 0.43 output 207: 0.43 output 208: 0.42 output 209: 0.43 output 210: 0.43 output 211: 0.44 output 212: 0.42 output 213: 0.44 output 214: 0.43 output 215: 0.43 envelope A (96) noise offsets B (96) phase, width (8) never read (16)

Length of each output row's weight vector. The 16 never-read rows are trained to the same size as the phase and width rows the synthesizer uses.

Data table
GroupOutputsMean row length
envelope A (96)0–952.15
noise offsets B (96)96–1912.24
phase, width (8)192–1990.43
never read (16)200–2150.43

7. Controls Barely Reach the Networks

This is the one you feel while tuning.

The conditioning network listens to phone latents, pitch, a constant, the zeroed input above, and Expression. By weight-column length, pitch dominates (3.71), and Expression (1.38) weighs about as much as one and a half phone latents. The pitch network sees no user control at all.

Figure 10 · What the conditioning network listens to
  • fed by VOCALOID 6
  • input 34, always 0
  • phone latents
weight length 0 1 2 3 4 input 0 · phone latent: 0.91 input 1 · phone latent: 0.93 input 2 · phone latent: 0.87 input 3 · phone latent: 0.86 input 4 · phone latent: 0.90 input 5 · phone latent: 0.85 input 6 · phone latent: 0.88 input 7 · phone latent: 0.82 input 8 · phone latent: 0.85 input 9 · phone latent: 0.93 input 10 · phone latent: 0.89 input 11 · phone latent: 1.07 input 12 · phone latent: 0.97 input 13 · phone latent: 0.83 input 14 · phone latent: 0.80 input 15 · phone latent: 0.71 input 16 · phone latent: 1.00 input 17 · phone latent: 1.05 input 18 · phone latent: 0.86 input 19 · phone latent: 0.97 input 20 · phone latent: 1.03 input 21 · phone latent: 0.85 input 22 · phone latent: 0.94 input 23 · phone latent: 0.72 input 24 · phone latent: 0.67 input 25 · phone latent: 1.03 input 26 · phone latent: 1.01 input 27 · phone latent: 0.90 input 28 · phone latent: 1.08 input 29 · phone latent: 1.00 input 30 · phone latent: 0.84 input 31 · phone latent: 1.06 input 32 · pitch: 3.71 3.71 input 33 · constant 1: 1.11 input 34 · always 0: 0.48 input 35 · Expression: 1.38 1.38 phone latents 0–31 pitch always 0 Expr.

Length of each input's weight column, Miku Original. Pitch dominates (3.71); Expression (1.38) weighs about one and a half phone latents. Input 34 (0.48) is trained but always fed 0.

Data table
InputMikuasa
phone latents 0–31 (median)0.900.89
input 32 · pitch3.713.88
input 33 · constant 11.111.11
input 34 · always 00.480.44
input 35 · Expression1.381.05

Everything else acts around the networks:

  • Dynamics is an output gain after the synthesizer.
  • Air, for Miku’s banks, adjusts the harmonic/noise balance after decoding. The engine has a path that feeds Air into the network, but Miku’s banks do not select it.
  • Character warps the frequency axis of the predicted envelope inside the synthesizer: a formant shift, not a network input.
  • The classic lanes a V4X track uses (Brightness, Clearness, Growl, Breathiness, Exciter, Portamento, classic Air and Character, Cross-Synthesis) are not read on the AI path at all.

Dynamics really is just a gain. On a demo project of Eiji Hirasawa’s 星のカケラ, the render with Dynamics at 127 is the render without a Dynamics lane, made 7.66 dB louder: the 5th to 95th percentile of the difference across the whole 52-second render is 7.655–7.659 dB.

Natively, Expression behaves mostly like a loudness control too. On the same project at Dynamics 127, measured against Expression 100:

  • Expression 70: −3.2 dB level, 1.2 dB RMS of spectral change.
  • Expression 50: −5.5 dB level, 2.1 dB RMS.
  • Expression 0: −14.9 dB level, 5.0 dB RMS.
Figure 11 · Expression: level
−20 −15 −10 −5 0 dB against Expression 100 Expression 0: −14.9 dB against Expression 100 Expression 0 −14.9 Expression 50: −5.5 dB against Expression 100 Expression 50 −5.5 Expression 70: −3.2 dB against Expression 100 Expression 70 −3.2

A 星のカケラ demo project, native exports at Dynamics 127, against Expression 100.

Data table
ExpressionLevel change (dB)
0−14.93
50−5.54
70−3.18
Figure 12 · Expression: timbre
0 2 4 6 dB RMS Expression 0: 5.04 dB RMS Expression 0 5.04 Expression 50: 2.05 dB RMS Expression 50 2.05 Expression 70: 1.21 dB RMS Expression 70 1.21

RMS of the one-third-octave change after removing level, 250 Hz–10 kHz. Same project, against Expression 100.

Data table
ExpressionTimbre change (dB RMS)
05.04
502.05
701.21

Some stored controls change nothing at all. In native exports of the same phrase, Breath Type 0 and 1 render identical PCM for all three AI voices, while switching breath on and off does change the audio, so the control isn’t simply disabled. Multi-point vibrato depth and rate arrays collapse to their first value: every rendered step equals the render of its first point, in all three voices. For asa, Vibrato Assist on and off also render identical PCM in all eight probes.

Vibrato depth, Miku Original, one あ on C5
  • Depth 0
  • Depth 0, stepping to 96 halfway
  • Depth 96 throughout

Native exports, 2 seconds each. The first two files are byte-identical: the second depth point is never read. All clips share one fixed gain.

One control only looks dead. If two projects differ only in a note’s pitch scaling centre, VOCALOID 6 can hand back the audio it rendered first. Exporting centre 0, then 0.5, then 1 gave three identical files, and which one you got depended on the order. Clearing the render cache between exports gives three distinct renders, so the control works but the renderer doesn’t notice the change.

Pitch scaling centre, Miku Original, one あ on C5
  • Centre 0, fresh cache
  • Centre 1, fresh cache
  • Centre 1, exported after centre 0

Native exports, 6 seconds each. Centre 0 holds the pitch flat and centre 1 lets it move. The third file is byte-identical to the first.

Then the test that matches the complaint best. I applied one identical expressive tuning program (note expressions, tone curves and vibrato) to all three AI voices and measured how far each moved from its own untuned render:

  • Miku Original: 0.89 dB RMS of timbre change.
  • Miku Soft: 1.05 dB.
  • asa: 1.21 dB.

The level change was about +1.2 dB for each. The same edits move Miku Original least.

Figure 13 · The same tuning, three voices
  • Miku (V6 AI)
  • asa (V6 AI)
0.0 0.5 1.0 1.5 dB RMS Miku Original: 0.89 dB RMS Miku Original 0.89 Miku Soft: 1.05 dB RMS Miku Soft 1.05 asa: 1.21 dB RMS asa 1.21

Timbre change from one identical expressive tuning program (note expressions, tone curves, vibrato), against each voice's untuned render. Level changes are alike, about +1.2 dB.

Data table
VoiceTimbre change (dB RMS)Level change (dB)
Miku Original0.89+1.20
Miku Soft1.05+1.28
asa1.21+1.24

Checked, and Not a Fault

Some suspects didn’t survive measurement. These are worth listing, because each one is a plausible story.

  • Buzz from phase. In the code, every harmonic starts from one shared phase, so all harmonics peak together, and a single per-frame rotation driven by the 4 + 4 phase and width controls shapes them. That was the first version of this map’s explanation for buzz. On native renders, waveform crest factor at 1–8 kHz is the same for the V6 and recorded voices (8.1–8.9 dB), so buzz is not a peakiness effect. The noise between harmonics (fault 1) is the better explanation.
  • Noise flicker and pitch micro-variation. Within the recorded voices’ range: 0.21–0.27 dB per frame at 6–12 kHz, 5–9 cents of f0 micro-variation.
  • Output-layer capacity. 34 % of Miku’s envelope weight energy lies in fine spectral detail, against 38 % for asa. The layer can draw sharp formants. Any over-smoothing is learned, not a capacity limit.
  • Under-trained layers. The singular-value structure of every layer matches asa’s. No layer looks random.
  • Japanese and English phones. Fully weighted (median 1.62). The weak weights are limited to Chinese compound finals (0.87), a junk symbol and an unused marker. The language flags are near-untrained in every V6 model, so language reaches the network only through the phone symbols.
  • Float16 storage. Rounding of at most 0.05 %, far below every difference measured here.
Figure 14 · Encoder input weights by phone group
0.0 0.5 1.0 1.5 2.0 2.5 weight length Japanese and English: 1.69 (1.25–1.86) Japanese and English (16) 1.69 Japanese only: 1.62 (1.45–2.06) Japanese only (19) 1.62 English only: 1.62 (1.50–1.88) English only (23) 1.62 silence, breath, closure: 1.71 (1.63–1.81) silence, breath, closure (3) 1.71 Chinese and other: 1.44 (1.15–1.97) Chinese and other (34) 1.44 Chinese compound finals: 0.87 (0.69–1.05) Chinese compound finals (34) 0.87 junk symbol: 0.15 (0.15–0.15) junk symbol (1) 0.15 language flags (4): 0.11 weight length language flags (4) 0.11 '!' marker: 0.15 weight length '!' marker 0.15

Median weight-column length per phone group (count in brackets), with the range across the group. The language flags are near-untrained in every V6 model, so language reaches the network only through the phone symbols.

Data table
GroupPhonesMedianMinMaxWeakest
Japanese and English161.691.251.86k, t, p, d, ch, n
Japanese only191.621.452.06ky, ts, N, h, a, i
English only231.621.501.88ah, v, aa, ih, hh, ao
silence, breath, closure31.711.631.81cl, sil, br
Chinese and other341.441.151.97k_h, a_n, AN, t_h, ts\, ts`_h
Chinese compound finals340.870.691.05uAN+1, u@_n+1, uAN+0, u@N+0, uo+1, ua_n+1
junk symbol10.150.150.15junk

One more observation, not counted as a fault: Miku’s decoder weights its own fed-back audio about 15 % more than asa’s does, and its gated layers are about 15 % heavier. I have not measured a native consequence. It does mean the loop is a real design constraint. Any change made to the audio inside it is also a change to the decoder’s next input.

What This Adds Up To

Three of the faults belong to the engine and affect every V6 AI voice: the noisy upper spectrum, the 16 kHz ceiling, and controls that never reach the networks. The other four come from the trained networks: a mid-heavy balance (darkest in Miku), a small style table with one entry used, a lightly adapted shared pitch model, and trained outputs nothing reads.

An EQ after the fact can move the balance. It cannot put harmonics back between the noise, synthesize air above 16 kHz, or make Dynamics change timbre. Those need a renderer built differently. That is the brief for OpenVocal, the next-generation renderer I’m working on.

Limitations

  • The cross-voice comparisons use one 20-second phrase. Rin and Len are different singers, and their takes are tuned while the V6 takes are untuned.
  • The tuning comparison is one program on one phrase.
  • The Take test covers one sustained note and one phrase, on Miku Original only.
  • Static reading of the engine shows which inputs exist and where controls are applied. It does not prove that every code path runs for every note.
  • Measurements are not listening results, and a smaller number is not automatically worse to the ear.

This is independent research for interoperability and sound quality. It is not affiliated with or endorsed by Yamaha Corporation or Crypton Future Media. VOCALOID is a trademark of Yamaha Corporation; Hatsune Miku, Kagamine Rin and Kagamine Len belong to Crypton Future Media. No model weights, voicebank data or engine code are published here, only summary statistics and short native renders.

Sources

  • Bonada and Blaauw, Semi-supervised learning for singing synthesis timbre, ICASSP 2021.
  • Blaauw and Bonada, A Neural Parametric Singing Synthesizer, Interspeech 2017; Applied Sciences 7(12):1313.
  • Blaauw, Bonada and Daido, Data efficient voice cloning for neural singing synthesis, ICASSP 2019.
  • Yamaha patent application US20240265902A1 / WO2023068228A1: harmonic envelope, phase and noise model with re-analysis feedback.

Model files

For the record, these are the model files behind every number in this post, as installed by VOCALOID 6.13.3 on macOS. Each comes with SHA-256 hashes at four levels:

  • File: the file exactly as installed.
  • Tensor: each weight array exactly as stored in the model: little-endian, in its stored type (F16 or F32) and element order, before any conversion. Convolution shapes read output × input × kernel. Integer configuration arrays don’t count as tensors.
  • Stage: one line per tensor of the stage, name⇥type⇥count⇥tensor-hash (⇥ is a tab) and a line feed, sorted by name and hashed as UTF-8. A stage is the input projection, one layer (its main, conditioning and skip convolutions together), one head projection or the style embedding.
  • Network and all tensors: the same lines over every tensor of a network, or over every tensor in the file with the network name as a prefix (timbre decoder/L0.main.w). Tensors outside the networks are numbered in file order.

Only hashes are published: no weights, and no code that reads the model format. Two things the hashes show on their own: Miku Original and Soft carry identical pitch and timing tensors although their files differ, and the pitch encoder hash is the same in every pitch model.

  • HATSUNE_MIKU_V6_ORIGINAL.vtb2 Miku V6 Original, timbre · package 6.12.0 · 7,471,529 bytes · container version 6 file 39a35e1f06b93488f8f77548b06ddf715e4f513cc6ebfeca4480e760b99c6f01 all tensors (120) 65cdb1991f5f4fc47e1e5b50770d60a9e9c1e2d52147bd64d21d6858964338cf
    Network, stage and tensor hashes

    phonetic encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    5548f2325a517c2f8710f4f5cf82c0f0de87ffc07043333da5b2121005d0777c
    Stage / tensorTypeShapeSHA-256
    pre ffc19200866a4c72c0be7e78488e9f07ea03530299e4cb26e66bcb741584349f
    pre.w F16 64 × 415 × 1 f85e186c8f8884db39e803be1ff05f09dd2622f416f487b63afb272c52b253e6
    pre.b F32 64 d2f68fd2906c6568b3600d4754a18bc20c71addaf0ea89e0b04e7d64844491a0
    L0 16fb1badd38b3d4a11f60b426572c269febe130d9dabb83d33b191550ffd78fe
    L0.main.w F16 128 × 64 × 3 fc1bae998894ccf5d7eff09bae67e506ec77dd0be23a0b412cd310ddd384eb4b
    L0.main.b F32 128 191dc70592580536c7257be07e5d413a59f393df2283ad92011be8a2ad269fec
    L0.skip.w F16 128 × 64 × 1 9102134cd66db9d9c474d07533b6afdf244d0244f5faca3f9c9343821cde30ab
    L1 c62033bd42ab5b802ff41c3971af5328e9db8c681f5c20782a83099fb5a4c87f
    L1.main.w F16 128 × 64 × 3 f73db61d0ef7aa829f5f1daec4f4b3a30d5bb48a3e3469725d6cff5766b483bd
    L1.main.b F32 128 39299a6f19148d02aefd8c6710878b0e8c3ae7a1b646b7bc5ab0aa5f171058f2
    L1.skip.w F16 128 × 64 × 1 31b7412d4ab4e204c8bd08345a51eff0e51824673882c67943ada7c417b9609a
    L2 30abd457c5010389854b9d94c20e5c1bfe0af142ce602b83b583686fd70f83ed
    L2.main.w F16 128 × 64 × 3 06e8f6b20878dcbc1964c124c4b34c110bcd054bed90f3d7fcc9dc8e6cc74c18
    L2.main.b F32 128 2995f4518d05773d21df46e44ce115fc13a45e80d81026da61eb3f112e982cb2
    L2.skip.w F16 128 × 64 × 1 7c51bfaed2b4e95c1d40e4fd2bf8522fa87b60671ce8731f998908ff626de2b7
    L3 d84d87113ce29db67cb0369547096255bce0835196683aead875585437d3f1fb
    L3.main.w F16 128 × 64 × 3 fae0f34871a6fb65e7cc7ff710d6d90fac516977c8f47bd1bebb217ff638409a
    L3.main.b F32 128 fa7cf31df15ed2148af7ef7d0fc88bea4ae8fdf043152f762f25838ba8c62082
    L3.skip.w F16 128 × 64 × 1 24ef381dd2657747c901be38621bd93ace5885b2a7ca911273dbf70d1535e14f
    L4 340ee44070db9873496e41b2da5851553beb0fda23bc84841429270ca38a6088
    L4.main.w F16 128 × 64 × 3 455ca453fc5314de3d48e8cb10d5364ebe682580565348ac42eeba456164f678
    L4.main.b F32 128 3dfd546f2c9c55a8c3f33b7f93da92c742cb3505b1b40f6db2bccafc16b5fad5
    L4.skip.w F16 128 × 64 × 1 514236454d69e8eeac3a723c9447ee694fd343aa10242dc190e7edee3fb7b5cf
    L5 eccaa6bcc8165436613ef71f6a336342d8dd40ec63cdbb0b48a941716c437cc9
    L5.main.w F16 128 × 64 × 3 8454e4766f47b6e63547cbf61c1ee62e072b26e61e67fa5d241314acc6551deb
    L5.main.b F32 128 19428a1f5fae81d969c43e9dea31a953c9a909b5a39df2c4df9a8ed907a1b2ab
    L5.skip.w F16 128 × 64 × 1 7e6a40f4eedf29959f4dbdaa1eac46af2deab5cf39331e873035e57a3c50f156
    L6 42e6774eadd887844fcbaa593765d907beb1e278204049d28cabc40a8bb7286b
    L6.main.w F16 128 × 64 × 3 92af19320c4b715f2fa1219022a47fa8c3085f6bb2921bb0e1b3b12b61c3e568
    L6.main.b F32 128 da27191886b6862d1d2cba18b22c6b0297aa14a5990dff0f0e817cc61651a130
    L6.skip.w F16 128 × 64 × 1 7f7336091e9253f755d8828fd0312ebcbe4110dc264dc4f80be314f92d90b10d
    L7 cdde293bc6dc3637194bb52e95e77c188709ae99201480b1072ca781676f8925
    L7.main.w F16 128 × 64 × 3 2361bfa0b3fcdbe1cd378f04eee7312501e32e4640e731f834061ef06e9ed76d
    L7.main.b F32 128 8a37c70197aa00a1be7fbea20fe771594f65508cf58fb92ada5ba8bc541ab98f
    L7.skip.w F16 128 × 64 × 1 6390d04ffbc5e19bdc245e729e6e2bc31d2a69a332fbf3b74da4fc2df4ee5031
    L8 bacaa34a671a311fd2e6b2c5f050bcf08fbbf8842ede9a164d523fdc0bfe7a4b
    L8.main.w F16 128 × 64 × 3 14bf20de60b988d089d828fd9c731351718f769a278774e6f9c96f3c7a4e12f2
    L8.main.b F32 128 5dc9ec5bd22ad66e0c37a4bf726381024a5e33d0c441c611e84edd3c7e481b46
    L8.skip.w F16 128 × 64 × 1 d187c1585b934a0aca7c4ea46393623eeced3c2e900b99a14a9ff91665196421
    post0 5b2f801ea404945985373ec6939fc3840f136649ee3de2dc821aba215f73a1ef
    post0.w F16 128 × 128 × 1 fc8b8ff774f74b0a8df0bf77aa26d2c5c9333da4a6f040b694038d72754a9f80
    post0.b F32 128 5aecaff9c55270cd10c8b231454ac634b3088ba5de0710ef08ab01ad1ca576aa
    out 828624a6bbc6ef7fe709589d6cecb3f7571151bb53fe7d589d75712bd3e93f10
    out.w F16 40 × 128 × 1 81b44a4e49fcb53bcaf7411d3aaeae82c4d14f6638721e849c41602a50e3d9da
    out.b F32 40 9f147df10b56e32cef8aae33f4e580b673aabc307aafeab54e75ed878951d914

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    0e69c8525bc637b1b33e89d6567545d417e81cbfc79db985556617bb9c36c1a4
    Stage / tensorTypeShapeSHA-256
    pre e11846f4cd59a10d9957c554f9904c7f5ef7b5aad28b2d821b95d78110c8baf4
    pre.w F16 64 × 84 × 1 c1054536b26a315ef2f9b2b0f419298ba5e4a02fffd99151ecdfb75b81efcafa
    pre.b F32 64 c03bc13f33db3fa07553869d0eee4f3494137e52c8b8eff54319c1c5f21efc49
    L0 7a070d773758c7859e889156ad2c368fc124e94b2cb737eb6eee84a2a678efb6
    L0.main.w F16 128 × 64 × 3 a8312175feb8df4a8e191e82ca4ed9b93026de0f2a6f90c4454bfd66411d6406
    L0.main.b F32 128 2be867ce19613418e9bb1f16e7251953f991be99336a20bba2e08798e26a0bd2
    L0.skip.w F16 128 × 64 × 1 bb1ca07c3cf0c8ceb9528dd027a9530ea0295d65f3b2285272ff1c52793c020e
    L1 67513b96940fe00215d7c413ec56b18a475a7603a42753741425a2cb3eede937
    L1.main.w F16 128 × 64 × 3 e9718efb74ec484420e89a160e89ce9721bff91247aded7d21dc91474b34182c
    L1.main.b F32 128 160f7a688e08a5998b14e07e0e0ebeda8d76a7ec634e521164f6d40eb1006d03
    L1.skip.w F16 128 × 64 × 1 9f54045c4e7e26f42dd0841a133ffda4ab772c7d08090346d09ad3c051f0ea47
    L2 1e190c01175a1214439184def457a2a82320e7c5ca4b1be783153a3b34d2d541
    L2.main.w F16 128 × 64 × 3 8a024c96198b9af8530ab6a44ce3c49c1806e1218e2a2534b0a2ae9f0644e1a4
    L2.main.b F32 128 69fd14b57b7ade22f655c04639755f19bf8ab2e2ba93ca9e564e10171e62035e
    L2.skip.w F16 128 × 64 × 1 0a492a2aafc44f057c7dd0dadff2ae12ae89ed8b9321897049fcd854d9f14047
    L3 4ab36712093d9ef3a9d29a4c5a8c952b52a9584aba1430e7b15ff131b647d374
    L3.main.w F16 128 × 64 × 3 f9be6bef10c95dd30bfdf45c686887234076bf46a5e2caf103c4293b3aaaefbd
    L3.main.b F32 128 42a152ce29219cf9f64c5531751b8c9b1977e4f71f2d7e7c11972b951b3decea
    L3.skip.w F16 128 × 64 × 1 09cc49afeeee495f26d6d9ded351502862880c19f035e4cc23dd67aeb0b808d7
    L4 210972ae9738fa3452e824a9f1cd5d18a3a801c874a73dbc627a9b5565315297
    L4.main.w F16 128 × 64 × 3 5af824ab9742ec96449189d91a5615afe832fde4fc7e0d567e8d8b27314a940b
    L4.main.b F32 128 64c024e60b170f07a7ef007852a6af7b64384758e73540942c7afb8f435b495e
    L4.skip.w F16 128 × 64 × 1 74805b50e9ac815a07eae1f338bb13b616f55a9300093743c5ef95dbd0e0a9d5
    L5 7ec30988b40ab0a78896d2ddee28da0800448debb6ee70b92eb710ecc9d59c19
    L5.main.w F16 128 × 64 × 3 a60d5ec2cae9b5321249d8e2f61f353e785ec717e2cd2ada9f81fb25dcab6b6c
    L5.main.b F32 128 c8fdb8fd9c869662a16222484e1d0bc932e22704c30c498cdbebae6df27d6c06
    L5.skip.w F16 128 × 64 × 1 5ab5720c7987d6584714e892d38b8f0723b7ad6e6da0b19fc26ed80b43540b45
    L6 6abf3aac509e3bf714f6fa9594c26ab577f433605aae7ce0e93d18907de37028
    L6.main.w F16 128 × 64 × 3 ef9b2ba62f4e3b6efa0e7f917e2f1f0fddecf7c239057b097b9be0d289440afb
    L6.main.b F32 128 bb5cf2e299061c19f1ea2c60c9c964d3c05383229e0009cbc1bd9d0d2cd47121
    L6.skip.w F16 128 × 64 × 1 069901fc3976f7b5a76736b1cddbaaa9dbaec2866c4e2410f049045b25f86f1b
    L7 db61b6f5304f94857d8ad1f2f575371623cbf0cb2bc7c2fbf9e31128a71d9d3d
    L7.main.w F16 128 × 64 × 3 fccad6e58591b342ebbbffbf2533f942cbcf9d498bccdfce908ffec40e46d08b
    L7.main.b F32 128 e4141cf4f87962cde62e5016304f99f81f74bc3ed8b119a93041ef5248ccb714
    L7.skip.w F16 128 × 64 × 1 7f98ac409d5a5a9c944f0560f116d3892ff7a3680035cacdbaf87094b0b141d6
    L8 43af3e201107aab2e76bbf719ceb91d4d760d8cfa7aaead5cd5e186c33b6a347
    L8.main.w F16 128 × 64 × 3 4be54abf08f2e1e10ea977852f70152a5b17370ed2116e5dedf24d8373296be4
    L8.main.b F32 128 50c94cfa5565c7f1955ba7d7e2f246b19d0d3a98bfd129ea8c903f6caa71bfbf
    L8.skip.w F16 128 × 64 × 1 5e8feb1d2ca623e42f8edf443d2ebf9a106a82f12ff9cf5b6a0c14b45052741b
    post0 2896f35334101d19f27570e6e7316283417110bac0a94057c8f5f18d0a5aeed8
    post0.w F16 128 × 128 × 1 da9ef7079a21c2d15e899532d493b065a522eeb1c28530c407c793710ca47026
    post0.b F32 128 16c84b9b7c83b03fca631be060b17b512652426ff1b1573a0626133194cfa069
    out 52abf691a455e9027aacc640f7173972b33bc036b98b78aa1ca99c41dea80705
    out.w F16 40 × 128 × 1 776ac1f5ba817d1df72f68092d682b4686840cc713459cc981aa14372fb959b6
    out.b F32 40 66a59bfb0915555c94ff9ccb29bb9ea2bf95b8ba37e0617cbd1b225278d924e5

    timbre decoder · 96 → 96 → 216 · 8 layers · 30 tensors

    c7f0b8feb5d62e18110cb3363467ad066cb76f08a6f99dbe4fcdb7049469dfd8
    Stage / tensorTypeShapeSHA-256
    pre 0a9e5cce0fe3fea45c14cdb7d990b54dbdcd76a0ab2d5927c361321a79cc5baa
    pre.w F16 96 × 96 × 1 bc097ed5138a1f9516a3dfc9610da391a99dfa5356af1748ea81418368b4a7d8
    L0 cdcd76ef9ae41942ad331ef846c3cefef91d15760d6b5dc6c5339b789fa771dd
    L0.main.w F16 192 × 96 × 3 eb0164487e00181983ea56ec922e5cadec1b0eb1ded26d879e3849c67ef66167
    L0.cond.w F32 192 × 144 × 1 cbb9163afbb6b5b8564e55727cfa215b2184a3aaa3923245c17bad961c449ee2
    L0.skip.w F16 384 × 96 × 1 3f775815496e3c97526c77acf64817249b7f03c668bcb11a963578084ecc6a1e
    L1 339dde2f6e04551fe1a263befc00b2cc1189b87f5323742d79e0b3f277b2db78
    L1.main.w F16 192 × 96 × 3 4eadf85a83d27e85145b0cc5f6c69195b47d5217f2be27ef55da27883cbf8357
    L1.cond.w F32 192 × 144 × 1 9ed7eedb4bba688ef3b7481716a41fe12c72c1b77df43b73f3eef2ade56a59b4
    L1.skip.w F16 384 × 96 × 1 36dc0eeb4ee1060cb87a7d5a3fa4b01f47ba62fc8563bd54da555dc99774ebc7
    L2 1d34bb7745bb863208a78bdf2903904c803ed1521176cc903a5b1eaefa1f671b
    L2.main.w F16 192 × 96 × 3 3215bb0264312c82688b49832d976e1ff89721504129ed291832840ed92a8bc0
    L2.cond.w F32 192 × 144 × 1 4471fc258081f9cd6b6bd2c8203ff2bfcaef809eada7d63bf42faea1bc9a7aae
    L2.skip.w F16 384 × 96 × 1 2142f90835f127e7d91d76b20c8b3f198b9c9519fc78bf91257fbeeca8c3adf5
    L3 25851aeb15729c5915ab90b5b33782630ae4241c225224f7b161cede500d109d
    L3.main.w F16 192 × 96 × 3 50cf26dd8acb3ddf5805d57c76280d0c61c3ca25f1c4ec0e552d1809417f35ce
    L3.cond.w F32 192 × 144 × 1 1dbba2a99ac216de08a0536174c3f8c04372dd7d491b2a0c373e448cdd6653bb
    L3.skip.w F16 384 × 96 × 1 3ae928821c43d9118ae03596c73d973c7a047831be2ebec6aac86773eb8e9da6
    L4 a59670f6a96b7bbd88c0fe310eded42dc0327973915c1655d7292c631816f491
    L4.main.w F16 192 × 96 × 3 64eb48855aada00b0a5885a4efda33c06606fd07ac1151a890aa78ec8f2abd0b
    L4.cond.w F32 192 × 144 × 1 8eba5ac5f80a9f31625977b1cd278df2ef1b83db7c62dd353149c33e6286c43e
    L4.skip.w F16 384 × 96 × 1 d2fd1015a9c3da2ed7bcada23fe4f14da6d9ee46157d3b6b94c27009a61b27af
    L5 9445e6d4a6a87f0c7045579d0c602b36df58f0eb7d2a2ae3f17b65fca514a07f
    L5.main.w F16 192 × 96 × 3 4de4a614eac1ecbec8594152e56919e3610457fc7d366746f1347fb663161551
    L5.cond.w F32 192 × 144 × 1 8bacfdde881ef8ac6da3accded1ea184f91137ad31bee9f7df957d8647921544
    L5.skip.w F16 384 × 96 × 1 5b68ff5293c50f96f525dc025c73897bc752de05c5606cd4a2136d8e138d28c9
    L6 ad7f1fa8cf578b84056b89b03f052629e5cd4aa87630519e06c3730b43d7b3dd
    L6.main.w F16 192 × 96 × 3 7d38206979b512f0920e410977ff536c928ca2d2fd3ee60d71b85a615cd5f3bb
    L6.cond.w F32 192 × 144 × 1 9d56591696a63266ec17ad4c40c7b2778bc372ce3cdaa9acc5527e96bfcc5049
    L6.skip.w F16 384 × 96 × 1 ec41bf333a69321422ac3ff346423ef398fe5d8e384463f007fdac704701b86b
    L7 4a9fb2004ad6811687c804af2c1d7144e9d04af6e446ef030dcff0e8c91ab235
    L7.main.w F16 192 × 96 × 3 6adeb989615249ec14a8a87e556a96d7c88fc5b1eee0ce278136521b4455ec80
    L7.cond.w F32 192 × 144 × 1 a419b3c4ec910f28bcc0368cf0453fb592d7803f4e9337bc78ed15330aed84b9
    L7.skip.w F16 384 × 96 × 1 7f62be5c51998b18eeb8c3fcf26c196d165ba292fff2e8ecce856a80b5f7e7e5
    skip_cond 757c5fbc670222111f055d3b7e5a435043b1d2ce2000a7644d49cfaf3624d207
    skip_cond.w F16 384 × 144 × 1 85a065a011c6c131506be35e53ee6ca24351c847c8935d3456f1e147faeee68a
    post0 7c25f98d524ff2d322a9ab55065d2bb9b3d254418a13f5a88dc73c63fa3459bb
    post0.w F16 384 × 384 × 1 0223d04ce74d15fc7bd1e542246a2c06ff1d36051b07155fa59ef5471c4a8de2
    post1 45d7d0b9284fd99754bd32fc188c3778de3179765836d2707f67464366f3c67e
    post1.w F16 384 × 384 × 1 ee7b805110627d6c77a96ceff003b4be403086b0eff2b1aaaa6704916b25e0b0
    out 6d0e9f3adeab96283cad4c08354b37c2eee0638270c19021ebeebd5a4ab326f6
    out.w F16 216 × 384 × 1 3594810dca5b78f7bbd2b9d71e13b15cc944ae69778bff4da4626483f790ce84
    embedding 7864d30b79d5c5a01c4658ef45c7f1bf05a90961314d6810e19d259e2b36bd1c
    embedding F32 10 × 16 a8dfff12b6fc062d682eb87302fa18bca84ae8c9849dd76ddf9aabeede4af4cc

    conditioning network · 36 → 128 → 128 · 4 layers · 18 tensors

    49941180cf2920736dabb62e09c991aac15c1b3c98942544b54735a2ef23e9b0
    Stage / tensorTypeShapeSHA-256
    pre c976c03c8d5a95e66c48a13b570abdcbbe6f0be17713a9f200046a894b45b32a
    pre.w F16 128 × 36 × 1 f5f859c52fbce8bc6b717cb16e2a2da1eaf442c86cd6efc2e10c7a0455e575d1
    pre.b F32 128 6994ecef6e3e4b2faf63a788375bafd48ea3b3c9d6d5665652b710eb7c26fc89
    L0 fd34c074b8a533bde61046a30cf109d1120f6ae181c68a64b4afd86572a05206
    L0.main.w F16 256 × 128 × 3 fee9415ae1e86269423f51875973a22bc38f1b1a4ebac2840b69ccdb18428381
    L0.main.b F32 256 472c4f3f8ccea2e8074e4154fc4de7ce4754c4e6f1dd256c2a443bbe5f8490d4
    L0.skip.w F16 128 × 128 × 1 b42b47a70716b6f01ff0dc60a8cb60a96abd1af1c9e481930436040055ace632
    L1 853a6d17d77b67c8d3a7c881010e2a1ad307577e4be4fd7c9c51d8380da065ed
    L1.main.w F16 256 × 128 × 3 edd000fd81a49f7953928992810194daca31d80bf8272f5a711ca121e2cc7fef
    L1.main.b F32 256 edd5d38d68a194b3ce46c0afd68bb3c1b5bd853900889fc356d01b0b84ab98fe
    L1.skip.w F16 128 × 128 × 1 a0ddb5d34c5e4ce022eae65214a3e9cdfc1f0b315c0852909e6fdf0ac5856e0d
    L2 1b1a1e4e28ac8ea67035e43813660d991830e883adc036fef7595d7dc5c0ef84
    L2.main.w F16 256 × 128 × 3 4d54a92210eee22e1cccee358b60e7c6d3dd2d05a8d513185ce162185276cb07
    L2.main.b F32 256 68fcdaf71cd192fa39b5bf3846f1b7fbad161a098b3226a6f4334b0c7b81d122
    L2.skip.w F16 128 × 128 × 1 6fbdc698044bac506e82c383fa0808f57193b785e83907af08dc1a8775c0139b
    L3 9225f48d5ca84284465926a42e405b21d2a38f5d20ca5103a7835e16ddda2ba4
    L3.main.w F16 256 × 128 × 3 5e2e7ece6be8e3676ac62f7912719bea6c2b42622918c9a388933caa95e8e11e
    L3.main.b F32 256 f4ab0c7efe1794ba97e5a79e8e1de375781c14db36ef6b2e70c7b3fd0a7d7a20
    L3.skip.w F16 128 × 128 × 1 651cadc89e7805a2e1d50549c70d4e37d9aadc0c211ab02265c9136fabfd95e8
    post0 225320699fa27a044ec5bd4be1f09360870b0562476046c76e203ae234466403
    post0.w F16 128 × 128 × 1 c2ed0cd2b289a5122558d58f9a1538dfd00778f8ac1284a1926048f64be12bf1
    post0.b F32 128 8a233b6f22a739bc61007fc805c33a009e09cb9998b020c3ee1f732b7ef007cc
    out 7c15254d2ebe47e134e38794658a52bf5294afc2324e0b5437d03e6e9c0f8acf
    out.w F16 128 × 128 × 1 897de8b8fb4bcbe09ac02d1c914180549c3eb6b398531c1a15cb274e1c9a8402
    out.b F32 128 1730a2c22d0d1f14a66dd7143f5c085d7178219c495b9d367ef1795b9211d25c

    Tensors outside the networks · 6 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 1a9a494e6916368df97b4cddb769198adc4cf4756dfd7def80cea7fac98a1569
    tensor 3 F32 16 27823e666b33d183785460753d2edb43ce351a39f876c830135f8d45e27d9e75
    tensor 4 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 5 F32 16 0c436b6e98efa6c9661a9f6dd458ff94140385493667cd75a97c1a04144dd2aa
    tensor 6 F32 80 4cfe7b6c16c1fc80a6c20a3f3752280446fe736d1b03c2feefa020656f321e4b
  • HATSUNE_MIKU_V6_ORIGINAL.vpit Miku V6 Original, pitch · package 6.12.0 · 10,182,139 bytes · container version 6 file 340db03498a84092fd06540dfa6b6cf1ad1af423731ed9d191315acc106d0556 all tensors (197) 9819858bdf6e53c76ea2e1f369a9a221cd51d7d479ad5c5402bac2ee71974b50
    Network, stage and tensor hashes

    pitch encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    678a4db590e8c656d1846fd9d27cb97f40e73a2466ffa9539b9046303d9dfbb8
    Stage / tensorTypeShapeSHA-256
    pre 43497ec2e15b68946f0e79704acfe6c8ff4f87286471b3f76c3694abd26d7bd6
    pre.w F16 64 × 415 × 1 c1de0156019cc4f95b54145f66988a5270860a9a21749d5cf80c353ebdeea327
    pre.b F32 64 d72d38f1ba130f7ea348f2f823a397c0333770f552bb148fb05fb1bd3b1011c5
    L0 766836000ed587ef3368a6333a8807867c345197427c80cb9461df1bb1231304
    L0.main.w F16 128 × 64 × 3 83cd63ecb27f1f1c4f7bef79412928a7d9609ff73d10f401506e44150055004b
    L0.main.b F32 128 56dbecf82fe0ca7a405b4af5ee0b6bd7554d944cd40351be4e78b23fdc9c4baf
    L0.skip.w F16 128 × 64 × 1 00395444cd7334308014a1c0fc2e7c3b14a6ac8da19480f614552b1efefddce1
    L1 ed52ce806a17603948fceef15f9df555377bb00bc7dd8263929b0928604fd79f
    L1.main.w F16 128 × 64 × 3 ed17b83557a2e86eb7765b5a0b306549f3878c1408eb44b83b535f5157c6ff53
    L1.main.b F32 128 b7a0a6a4741a5b2971d2d87f9e56c1061e76ac81b1a5711764e7cd2f375c63bd
    L1.skip.w F16 128 × 64 × 1 00160e2ed227a1adad80dbe46658b5ecc555ec07f83cf284f661acb7dc588664
    L2 1bdec08f576683a0ed60688ba3af1bb8929c973333f171f42ac6b66b54f332af
    L2.main.w F16 128 × 64 × 3 a499c50ce8a45faeed34976a04e17de9e337ac4b556a46d04c45570ec280391c
    L2.main.b F32 128 af8d764f698d8759690978e568a28e74e1d66f88c8f308aadc705433b1c37b90
    L2.skip.w F16 128 × 64 × 1 aab81b7bfe1dac6230b46b5e472f8cfaeba6545bc9d0ca0807d23c5fbbaa3739
    L3 5480158e7c3d449932785179191fe2f79149247c9ff773980f49d502a40521ee
    L3.main.w F16 128 × 64 × 3 a23a319fcbb37b99cd2c48addf186f43c343499f37c25b427d4e4967978b62fe
    L3.main.b F32 128 4ead129f498e052971ebbc84f676a0f218421751471d95d9c3ccb0cff8b4ef83
    L3.skip.w F16 128 × 64 × 1 e8f0b4c6853b5645c6c58bf722f899da7d3320fe60ea2d2206339bd6af71c202
    L4 bc99d39686fcac9a47ab38eb2758156d40fddb4108efeb5186f049e7b78e838c
    L4.main.w F16 128 × 64 × 3 c15bd1995fc25b9b421bebef809c6037c5beda77d596aa3c42b166a016463623
    L4.main.b F32 128 00f50d4c93c5a14e58db391c80346d9029ecfd2f12981332dd2e95a1f84391d3
    L4.skip.w F16 128 × 64 × 1 6c8ca6eaf85c0ffa0b8b2b6a653afb027b5fd16051f9483e885f2de6d13ec524
    L5 10b3789a1938ccffdee555ee639ded090e46268757cedb87b4d11bd376fa85c2
    L5.main.w F16 128 × 64 × 3 5d8b233c7d35cf0b2a3922e13d7c765757e10a3012ddddc87809a30314a2233b
    L5.main.b F32 128 3d28c53c60332b8c05ee0397315793de4297db75b6bcbff78373725f985263b9
    L5.skip.w F16 128 × 64 × 1 0f6849547919cd8e5b8f206e40b52023ab0e1be3e8d4a5cf906977b43319033c
    L6 3faaceb0f1cb914444b305b6f51fd04e916be1c6f78da19304a0c1be52b87fe8
    L6.main.w F16 128 × 64 × 3 0070e98de97187623e9c7b95a0716f3c0eb19a43cf46f4feff9397e7b5c07b26
    L6.main.b F32 128 c0b3a088048ed65c32b9b1698123ee835fd6518b027f46d5735c4ecd4cc7a4aa
    L6.skip.w F16 128 × 64 × 1 8503bfa569c550ff3231a969329ea4ee8bd5697bcda7391f7b1c0c83630b2f4d
    L7 17cdcd5ecdfc04e98c4afced7fb5453f063ba33c62cd57d790d80f9343d82c1a
    L7.main.w F16 128 × 64 × 3 62c5dd9b7f9d674cdcebd74cc4eff36041acb8983a37767023ad788aa6a1424c
    L7.main.b F32 128 c4e0b75e4d209b7c5b50e7e5974f19a272424552236a369daae3c1437057dc1c
    L7.skip.w F16 128 × 64 × 1 03c72ce7cffc257f45172a52c231d63e4a711b6cd231676a0dce4d989b118446
    L8 e990ab25cd399fe5f3e19a42dfe937b9242b0abdd54754e4c64e1189b57de28e
    L8.main.w F16 128 × 64 × 3 62b91ed84c8b50ee77647f9f2d1af821dcd6cb3a8ea7c08ee4ab462237fa4bc4
    L8.main.b F32 128 732214a4dd1f2072b42dff535189cc35d9e11a956f868cc0a3ec464217295692
    L8.skip.w F16 128 × 64 × 1 a49d9da03b4242bdc9d153b7529fd61732a06b1727a78cbc1fe6357cb8ad5311
    post0 788eaf477c09dc58d2654e4280b32b79935ae7acd9deee6739f6d9c7bf11ab3f
    post0.w F16 128 × 128 × 1 8486c7f4e1e7ccb4e558ffd25ca74a7f10e72b40276b68e725baf20861393c3c
    post0.b F32 128 c2cd17b9cdf7268ab21470c2fc5a0ad0ace947217199c4a7352ed6f1d8792b65
    out 51012282fc7b1b2a5dc2a8206a6bc41731191c763559e4580b9ae01595cf2054
    out.w F16 40 × 128 × 1 e3b35967f9f8f64b6194fb0cd781dfc58b6be878f563e5e309fa2e76e66b5d2d
    out.b F32 40 493acb0fd3e0383476b6c1fe31a0cfaf7454a8222521a1ffa0076d26103c5837

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    d5c33c2b858d99a374d4cde5a029786ff2288660c7e57afce85f9f795e971d52
    Stage / tensorTypeShapeSHA-256
    pre b5d0e1446b506a06ceb21eb5a1d897da5e5a21f12edeb3625e5bffc7e6e9588e
    pre.w F16 64 × 84 × 1 4f0961fd9cf6da7185e7b9e60874ab3ad07a4e8d78c3cc64d7418d814d2a47b0
    pre.b F32 64 748d9c277d839ac9a811c425a2cee918e57886eb139b93ea3c0ab9f905c3c5d3
    L0 d33af827b1cd2d7ba93b5de86b8944029858f46db39a30f7b1ff4071f8537d4f
    L0.main.w F16 128 × 64 × 3 95a543d9a3f966e4f234a750c1a997b32d0fafe275f39815d3cc30803814f005
    L0.main.b F32 128 ea4250a6029306b7dde4588903b4b104a6d10b194d3a35f8a2850df831f19c19
    L0.skip.w F16 128 × 64 × 1 03ac287c8e7ca3e6ffbbc6f36e5aa9cce2e95fec541704cd719fc7b1468184a3
    L1 e5bc4de898656a45f1a7b21ed28c3e41c99cf90808d6de19e334dad2081dec3b
    L1.main.w F16 128 × 64 × 3 3963778d3577967d37a3db1357b2b337cd796d878cf580e28b5f27d00c7766b4
    L1.main.b F32 128 222db4e17d8256cf2d5eb6552ad73c9cfd6fd7d1516295fb7bff36b9dd3e54d3
    L1.skip.w F16 128 × 64 × 1 94751de30e410cb7a30271c502265de650daffd734a7405edc6cd95ea288b72d
    L2 be37af39fd7275689ca4748714dfc4093917df77da9c5383fddd1956af29c743
    L2.main.w F16 128 × 64 × 3 fe563bfe4ab43c6f8757929cc7dc8b0bc7a8913db2232b38ff40fb3125cf4c0d
    L2.main.b F32 128 7b04f4990595d9d44277e1c128d7aa1e21e8e15830ac22816fdfd2cc8b874110
    L2.skip.w F16 128 × 64 × 1 ebb447aef9e60162c0185e1617af79b88116c3492b728541794e8db689272ba6
    L3 f0446a879e204566123b05c38ebe8f6191468a3e95a1edf2e70c3db041362bcf
    L3.main.w F16 128 × 64 × 3 eddb86ebec5b57c0097d6199bdb65677a855eaf183c623e6ac9d12f5d014c9a4
    L3.main.b F32 128 78197c790a769d6aa909fbff2eba79aa5ab9095c162ec32b928661c23e416467
    L3.skip.w F16 128 × 64 × 1 a49c37f3ee4655bf63fcc735b3d72ff91bbc7dac866a9bf193044b20a1c79e85
    L4 94a14c5361c7152ccc989a08e2c01220e766a677322ce760360e73584f812de8
    L4.main.w F16 128 × 64 × 3 d7ba89a11f5757d6f442301ae3662786649f6f98940c7247ed920a3862b89839
    L4.main.b F32 128 fc2c17f3dc51fd308f46d124f7b7bbd71e06354eed969dd70b87e58b9c241158
    L4.skip.w F16 128 × 64 × 1 b5fa265787cf7752418e91584794f773cd9846be45e3d6ca200388996d31f9d4
    L5 a8e13dd32f2082d913df262964472ff3dac62ab2f5590c0b89d7b51883d6bcf1
    L5.main.w F16 128 × 64 × 3 3c103f01577dc1b3e1a68a22629dce53ca908ee82a8693146e8614c50f10aff2
    L5.main.b F32 128 c4207f01a04d3afe8c8f009aaa716b765c1478fe3371e92e7ee4d39ce0638d12
    L5.skip.w F16 128 × 64 × 1 b98659d328841b98154b0df05de53908e6ce66bd75f3ca12e9bbd2bb7a77e135
    L6 979c032a33505d1ada9b0b5be28c21b91dc1fc7b6b493d7d4121259037e139bd
    L6.main.w F16 128 × 64 × 3 bcbac4eb16ef09018008fd2fd1f937c750ac8ae80c8ee456b61a7ee84b75d84a
    L6.main.b F32 128 2985e8b25a4e602f1d294cc283b4c36933802a51073477d13b48e280acf855bc
    L6.skip.w F16 128 × 64 × 1 7eabc058575f1610af33118ad99aeef39ad985a774e4fe1bc8bbebfc9ce4625f
    L7 9673768d2ab84b3847236c3ec9fbb0af937e8e904ef13dbec1e7322921526714
    L7.main.w F16 128 × 64 × 3 085120f46abdf792c11a08c93d172e11fb6baceac13939b5bce7441b78b58caf
    L7.main.b F32 128 125474d6ea0cb49f4fc91fa2676f9af4d058c73892363b0100239f7a2cd49521
    L7.skip.w F16 128 × 64 × 1 5faadf23db52ee3231b4bd9f3728600b0eb616d3fbc1ba40800c28f4c0ffae0d
    L8 1ad1c36ae1814cda4ccae5c49e16d2810e5a722197fb7cf3ac171bf685f86a52
    L8.main.w F16 128 × 64 × 3 c2c918c5e8ce34194f4cfbe71366e4750920a764fa1c0e86fa08bba3509113e1
    L8.main.b F32 128 0568408bcae4459c6b83be59c55b377e9f930e01151a114eb3f881e1405ecff8
    L8.skip.w F16 128 × 64 × 1 d62d1d486b961aa4b35c22a54983b626660338183a75d29ebcad59ca86b3cc20
    post0 e35641b465cdee391ad3e89b57e60a26b9dd163a0798787491c6c33b4ec67784
    post0.w F16 128 × 128 × 1 7047cc725fa6e30d55dbc22b29892a75c69679f08bfd212755f96593e6869427
    post0.b F32 128 1ffab68644cfb8fc0ab1d8c35415b9436e186915386f5f3a6b30568ca6378b28
    out e7045d51e3a791c7a292e8fe9ef8b48d38f2920749d4433a1e3dac2298164b48
    out.w F16 40 × 128 × 1 b1ebd840f3ca9ba226a621cf91beb5f8e72f9b63eb9c4715ccdb99df793ef88b
    out.b F32 40 d19804596ec5becf2bba5a0bc6ccd86151cb847b8c5a388def5fdf0910e6f62a

    auxiliary pitch network · 129 → 192 → 140 · 8 layers · 30 tensors

    17434f9df33fe6500478c06b3e70be0451143851a71b7b00377d2861f0d65ac0
    Stage / tensorTypeShapeSHA-256
    pre 0a0df9ba243678acaea6452624d7152e11c44b09e7501243f0253905021316f8
    pre.w F16 192 × 129 × 1 8af1df7131261205aac7821b07c631eb4231ca5020c76884b27100087a3df587
    L0 81ffbfbe1c61fdb47fbcf84994130097b23bfaf15903f6e1a2a45ece237726e3
    L0.main.w F16 384 × 192 × 2 2d81885eeda11a090df7358a8743ca30e9ff7278185b466d0d283b6cc6fe90e0
    L0.cond.w F32 384 × 52 × 1 c236d6ccb5b20e7bcac8f0e03218db5979114d013b9c1ead9c3946992dde48ff
    L0.skip.w F16 192 × 192 × 1 edeb4200a8cf4f5bc3d8bb5ed20d26dad73031257afcebb786ea7a66395ba0f0
    L1 132a69334cbd9b17609989d29814e9b735f21c1132951c543de447373c4ddfae
    L1.main.w F16 384 × 192 × 2 a3433301f79855c72c5a5ccc7d585210adc7ad8b2abee0386e63f7a9202703c1
    L1.cond.w F32 384 × 52 × 1 0e3ea2a269bb6f89263d4fda17f3c7e838d6e4bbea1a3581588a1bc02e3df13f
    L1.skip.w F16 192 × 192 × 1 008cc90651811c87494b6631f377520d62705894b25799d3fb3f0f687079f311
    L2 309ba54478426a17927fae6d60b289828a00eaa795b011934ef2bca1befa6cbe
    L2.main.w F16 384 × 192 × 2 9fb9f78b33216cfd1ab567566413940b1161262b91e237b8650d9d1cc5dd5cc2
    L2.cond.w F32 384 × 52 × 1 e6ed5e051d66c292e5822c991d87027e2d34df30e39a5d7aab87e7ad00ad0d50
    L2.skip.w F16 192 × 192 × 1 8302f54df28c313aaae541c8e371bfd682e16d0554d6cd13f2782424062880af
    L3 d8b4dbc7882076ac9b5956e504b85e73a5d2c5d9bca60d1f3dadfd903823f27f
    L3.main.w F16 384 × 192 × 2 36da91dc6a7ebd9f407cc13d580340ff3afa808e5fb80395012788d8307eb546
    L3.cond.w F32 384 × 52 × 1 fb8e7ad14427c971dfd832db757bd203295804f8ac22f52ce8b688776e03eee7
    L3.skip.w F16 192 × 192 × 1 b7eead89e44009f8b65a9aec2ad55afd9255b173096f4d68afe469bde1d9481e
    L4 2b358a5bef13b32f775748eb8f9ad62116a3e72df74d261270a8116880587de2
    L4.main.w F16 384 × 192 × 2 b33b381b251e4e165cef1806713053afabf96b3c35048874a6d76a4ba3ca2f49
    L4.cond.w F32 384 × 52 × 1 169731ec4e630ce4fd535941b0090157e7d41c37ef1f755146125638f44e4838
    L4.skip.w F16 192 × 192 × 1 2346c63133f8461e2ba3e90ae295debe4d35ae6d517d899721fc5ccfb07366b7
    L5 4536cc742560a1a8af0daa4b05e23fd0293e94166d3f3ff756b91f0f4e574e7e
    L5.main.w F16 384 × 192 × 2 4bc334fa09aa0e5269f146b0d0158df661268a40a2997a2f5a9a557b90d8170b
    L5.cond.w F32 384 × 52 × 1 bb20d435c423aee3d3860c526c9cb7fb5a965a612dd95642b1f678adf81a98f0
    L5.skip.w F16 192 × 192 × 1 f5ab52d7bef14553644edb335b73fadeca4059ee7685603ef78894b18985ae4a
    L6 26592c98b2d3cf59a41edd59d7884742a4f105a1d39e02bad664a5d396d4107d
    L6.main.w F16 384 × 192 × 2 b73a198dd7731ffb3b797acc39dd19e5dc3631f4746e890caeb2796665a5e10d
    L6.cond.w F32 384 × 52 × 1 5dc826bab1ae37220b750926b41861285d085137855ddd323ae26708705f1a13
    L6.skip.w F16 192 × 192 × 1 86de968b2b51ee33a684578153add356cf4c5e205ed1757f3ccb770c34d4444e
    L7 d0f7d24a2dc27bab81533d2792b5b078dc9a459bc231db1ecb7a9e08ad371274
    L7.main.w F16 384 × 192 × 2 3bfea4d3ca8ff8aea30a92393c0ce91ecb5952c7c387e8d47935d5b4f1b3036c
    L7.cond.w F32 384 × 52 × 1 f30e5a3813b9b29a0320d7100e9fc33000a65bfae74ae856927581eafaedf04c
    L7.skip.w F16 192 × 192 × 1 49b9e339c31ab6f29dca618a2d28e4ee5122e97a21a18d7d357295b567b9c002
    skip_cond 3ca44fd38462d814820f7df7b8bc55c55272610aecefe913fa2a582491b65fae
    skip_cond.w F16 192 × 52 × 1 3a12979024ed761a7bafc4b58ff7babe1ea2bdcd137b7a1b1a783df223234114
    post0 ab75e7f43c331265cb2c9f4dec092b91f20a53b62cb0b3b0118420036278a969
    post0.w F16 192 × 192 × 1 83ca364193231dc9788fe41be292d52bfbd244962c512d0e266b9ba307a536b1
    post1 c94d04aceee5d781e07346a496f81c9fd849510882e76a85b645dd1527460929
    post1.w F16 192 × 192 × 1 db38489c4be3cb40c5528bc5d4521a921e0d25030bef1400f94ba37456f7238d
    out 2cce50371fe3e9c88711a70a43138bd065e2102dfd9d6a38c1ebf220db64a4e5
    out.w F16 140 × 192 × 1 e0e061afe4405e3ee0b64fbf775ede5ca7bd64e8f626ffb97c936679d46883c8
    embedding cab88e000c1a2ea8004e3098150e3c83db1264d0ca7f601bd99b0e1c1082aa2a
    embedding F32 72 × 16 9829341f1c5977b4ea3de6c9a4abfe1cbdde035b0f1ed738630a42305cdbb37f

    pitch context · 136 → 64 → 64 · 16 layers · 54 tensors

    1102993773c33e278e431e3c7b9be89f460312c43b9325b5fd73fc767e45c427
    Stage / tensorTypeShapeSHA-256
    pre 97e016a0ccd603345e76956439e11eaa1d77c206ff5141e6c610f78b3c4f519f
    pre.w F16 64 × 136 × 1 04c9fc4b8b4595c183e43ecd89fb31dead90d27dfcfb5bab4de91d11d6d4fa5c
    pre.b F32 64 0122dd53aadfa002d50244d1927f8869f3ece31a2c367f0a6f0d6980d932eaa1
    L0 7686f0fb241486354d6b0be9175299d1003e5b3b3e88829d7f9fb2388078680b
    L0.main.w F16 128 × 64 × 3 3287dd5dc61242d895d9547283f8c173fec873b24d9256da943df6e27945eecd
    L0.main.b F32 128 f55fb2c0d66a08c9763f1dd526b1b023cc7395ffabdf93fdeb4b267a7e1badd8
    L0.skip.w F16 128 × 64 × 1 96ae24414115cd039c608c506faacac1f0510a1ceef279047ba1985fcc089d0e
    L1 5b3c8a5f507a1419a6ff73efa8331f1b7a4f3b5420d69aae27881181f135326d
    L1.main.w F16 128 × 64 × 3 d27a12c93361bde2191276495728b3de51b16aed3ecc21d862899992723724cc
    L1.main.b F32 128 1f7f24010d2f3b0e7a1e5a576b99c74e485da62966befa609a5764a08debbd9b
    L1.skip.w F16 128 × 64 × 1 5bceaecd4410b914d2106cd92c7c594ca57befab9f331a2614a2e225c15bfcea
    L2 903da550bdf8374c81b499d37dd8f8512c88d5c8c8edaccd277aabe7bbeb2382
    L2.main.w F16 128 × 64 × 3 b8a2fec991d94225c70b5c095c0e055a8dea6f11031863348a20b3a51df59e3c
    L2.main.b F32 128 f71ee07e3a81a31477c2d30ea627f9b489177493e5e89eab0e03fac34c477a5c
    L2.skip.w F16 128 × 64 × 1 fd2f8180633efa88b1bb713a7851aca122aa1c795c4a765a290a32b995cf91ac
    L3 a05fb4b5cb6a2e691c662dee02dd6f8d47d15f64cf8e9ab9df83685158b2cf35
    L3.main.w F16 128 × 64 × 3 39c5dceecd5e3ca1ec3c4b83433568ff5bd48c2f920ac84b32301670731db1af
    L3.main.b F32 128 67ffee30e9cc11a0bd67d74be57de5008b9f7daa266e7cffb3708cba9c402dd2
    L3.skip.w F16 128 × 64 × 1 65ddd8003e05c2576067695e4ecdf965937e87efaf3b26c97d52cb567d6dd687
    L4 5a0b7ca0c61c8bf892a3cea98b7bf448ed9da5294108a793d04f541ab7ca4772
    L4.main.w F16 128 × 64 × 3 684f185c2bbe33a3fd632197f6f2b983796f834d9a46e38e5b9ca8d64fdf29d6
    L4.main.b F32 128 487b3aa0885d462168bc2f0ca33b5d2119b2d19141fc6ca3342d788b6e0ed53c
    L4.skip.w F16 128 × 64 × 1 61929dd2e2a67e6b45d6ebf68e685b5f559a3ead30c83e178047b1ff177e4bc6
    L5 1ccba5abf0b6698650b5a0aa9d9b764d651a655496d7f44b80331eef6c48214a
    L5.main.w F16 128 × 64 × 3 e856f9e3356de8814b991db8bd8e1ce55cd4a2dc1b46fd5e1ae5425c9811a634
    L5.main.b F32 128 437a36451deb9b847ef1974c51066f91fe6ca66d0081774ccd5dd80c3ae3b700
    L5.skip.w F16 128 × 64 × 1 3e73724d489e960fc0f84ea3c51b6dd8a6e602aa65ca18f4d5df51e1656f8ae2
    L6 c93d807373f862b41e4d76e8fd2c7d5f0f1341acbd62f30e6989f31d1cbab14b
    L6.main.w F16 128 × 64 × 3 406af85d5232be1ac97496e5fb4ca6bfe6f2cbfe80c66f26f9ad569be3bc5130
    L6.main.b F32 128 06a44d0ebf3cc6bf6cf13f93b0174c816036b7356111fa0d883e32ae657dd8d9
    L6.skip.w F16 128 × 64 × 1 258e6948e57c94840c3f02dd729b1b2160eeaf3ed3472bfd4ffacbbe5d149ed9
    L7 732375bee7a6152a7b3c71e34c5c040d44d1ef76ad2d94fde0db96c01273591f
    L7.main.w F16 128 × 64 × 3 995a3966128e9ecafd336cdb2fb318db9a9a42fa459cd6390af7169198563914
    L7.main.b F32 128 94b99b72fa976fe4d24befc03f6b036e7d04805a6ffb39f0cb8106c159bccb7d
    L7.skip.w F16 128 × 64 × 1 2e85d4ec2dc33565c8f72a131f6d21e889de3f0ce00abfbe1cd0c28d9d237c8f
    L8 3d3263e2b68060835d2a10db4f6db8149ff69ef89e2b4b419ecffc1e4aad6c79
    L8.main.w F16 128 × 64 × 3 d8c700189d1149c29ef245cd5150a59e840a0dcdeff5fde4cad17fa88e4b85c6
    L8.main.b F32 128 87ad56135ed555fad68b0b1847e705ff73166a443528bd38989e4fffb844d771
    L8.skip.w F16 128 × 64 × 1 81085ab9c7f37a745592c4c40ac3b4daa8330330c2e05368426036ebea689908
    L9 deff4ef56b86eb70b8c1c5b913059b74bac5361faf1ff8b139e5e8af0508c9c8
    L9.main.w F16 128 × 64 × 3 7974bee8de04334f2dc2ae681db8b62f94283f55ba889fcd392336fe783dd50b
    L9.main.b F32 128 0c298edaec0111e47138f7f5c27b7b2fd3bdab3f364f595207b97772f85b4eeb
    L9.skip.w F16 128 × 64 × 1 47f82ae949f4dab11e3c1151dc3005efc8450b8a332a8adefff03156608a3add
    L10 f88765f4d8b2cf6ba0fad098e9d860b9589c7582110416c5bcff62aa1edbe4a4
    L10.main.w F16 128 × 64 × 3 e0eaa48335bf25e8713cb825128252eb2eeb15a780a11ad5918ff08fa77729dd
    L10.main.b F32 128 1e82d35ac44967237a9d0d96beeee7e43fc52dc4a80cb3ba3632d1d7180f3e41
    L10.skip.w F16 128 × 64 × 1 463443ed9aea7a98a42b22c95420d9acf459f0a22c7044deee6a78abdb5986a9
    L11 38aee9e96f81647fd28fb1d7d9be11df36c6d2ad8e586bf32e51118d48dfab54
    L11.main.w F16 128 × 64 × 3 7a63083febca415e8bd2ee360ea0e7ecc0501d99719ba88efa057072aded6889
    L11.main.b F32 128 4812683976ca100e3fc89f1f53c4be443b2a4e741a62408c1993d6d657818bd8
    L11.skip.w F16 128 × 64 × 1 ba78d91fd497c6289e1cb5cc42281a5f93481d5eb2011fdca7fc66cf46750ca6
    L12 96bd95ba26f8ede29ca3e5ce37ac6c0fdcd03d1197c92f550f56a6e7f677728c
    L12.main.w F16 128 × 64 × 3 8311f4989dfaf1f5b561c4547d39357e774354ec05b31321f622942ec57aede7
    L12.main.b F32 128 c5190b78fea6fafa60c68fe6349cab274195db6349c158807a5cc3a701878086
    L12.skip.w F16 128 × 64 × 1 59a963fd487d183dd8a933b4a035251941f40520a70af34edf60320345053acd
    L13 d249241d5a52034adfb718a8034189c7b4f65be7114f25cac540d6cded450451
    L13.main.w F16 128 × 64 × 3 b13c5b9bbf1eff4bdb28911151eb32b99c16505c99cfe9c8e99e494b31d37ac9
    L13.main.b F32 128 c0a19c58f1d5aa5cce080d9cdb959918cb9651ba24b634946e0b4668542108c6
    L13.skip.w F16 128 × 64 × 1 9763fe866ead66e6687459a39a5af00ab6f948c1750aa77db4352e8ce86177c6
    L14 f6a6aa02ae55996140a83199560c86a92e332f0b0c4b578af9fd2bae7ed1391a
    L14.main.w F16 128 × 64 × 3 a083a4d15f8f98a5937bdddc4ff962f8d0525bf71f2f6e73feda4641d117cb8b
    L14.main.b F32 128 fc3c572fb8214f90f767694751465aace0f382ad47fed2578c5e0e39a2c50eff
    L14.skip.w F16 128 × 64 × 1 d912dd9b5666dc11f431afcd4c4b6cf4e43bee8ae5fe50a5a0d57d6719ec2664
    L15 5d059d2700139e0c86b84be09226e1330cbe613ddab04f7e73625b08f51af8b7
    L15.main.w F16 128 × 64 × 3 2dc434638ab7661cb916eb528b09d142bc56e2c4409c18a1322f915cf0d01b43
    L15.main.b F32 128 d4982b08a5353bfff1f6dea700a5994356a85db9239184f6b4debee1f2ea2516
    L15.skip.w F16 128 × 64 × 1 25987fd1f9bdd19506aba2b389dc3b008708b894ce54c17ba588a872c0a8dddd
    post0 32dbf3b8d0a16bd5346d6a6a7efff86b6c6ac59d7f037399a625dca764d6477c
    post0.w F16 128 × 128 × 1 81021ba7b12c352982103fa535c8da48c0e1c7b7bc35dc0d8cee9422a9b7f180
    post0.b F32 128 e1c37d858cf3c58ccad4bc7ad12f470e61fc42321003aa079b12a870aea47a45
    out ff87f1879d4f193aa831bd780f4330b5f41f33c0a459c6826f84fde62ef552c6
    out.w F16 64 × 128 × 1 8168580cd8c2070945df391b16afb1062463bc142ae53e4769a4e50f676486cd
    out.b F32 64 f4a625ce4920fbd9bb8920c3fb67fea23c64f61aa77142b58b17d1c320bc2041

    pitch generator · 2 → 64 → 64 · 10 layers · 39 tensors

    2aad3aeff040a4ad73bbd41e49cf965d21c405b66bb289057c48238865806690
    Stage / tensorTypeShapeSHA-256
    pre 08ea3d355c47c31eb7d07fff3ad706cab2c106ecde3dc03c52f458040eb4f47d
    pre.w F16 64 × 2 × 1 4fdf1d70f1282e40c36e78ef028b6ccf2a921b806d337c9d4544cf04d8278938
    L0 a27c4193d118d8ff5467023eb9a5c3fe327525d878b42cebcb9831917e0cee1b
    L0.main.w F16 128 × 64 × 3 c98f11c00fae7c7915bd0fbf0638998427d2a5118a72201e2d04a5d92c1b5c06
    L0.cond.w F32 128 × 81 × 1 ae006f9ada313bcf79dc2d51589ba53d3ab87f73cefea30d411ac03e6d2b9f29
    L0.skip.w F16 128 × 64 × 1 0aedc2510ad4c8d48bfc999c19fe1216d78c450342e8d1ddffa3de6b39a921ed
    L1 f170507ac5fc783dcf45200158dda808179aab51e72a48774decf215f765714d
    L1.main.w F16 128 × 64 × 3 3ec89afcb7ba3856bd0edd6349e4fecced361730c83e6211d36131c697b7cb7a
    L1.cond.w F32 128 × 81 × 1 583bf3d239acd747cd845b1e4ca4cba195d3e1c3384a3eeb81502fcbdbdcdf2d
    L1.skip.w F16 128 × 64 × 1 23512150737705a6561ff1082ad65931697b7c305fbdf48329f2bf7a06d5efb1
    L2 1a075ae95335ab5801ee3529f65d06a899ca5faebfa7aaf5183014e44b126fba
    L2.main.w F16 128 × 64 × 3 d34cb20ee486851c597986ad503d4861305b9f2a43e324891dec760019581bd1
    L2.cond.w F32 128 × 81 × 1 cb040432355788e07f3449740200344322cc08cbdd5a683b1898d8a239a5e4c3
    L2.skip.w F16 128 × 64 × 1 f87bf392fe0c404da6ec5195d84ef81bb8220fd4a050fbecd488408507d4c637
    L3 77814131fdaad2a2993fbe2fb7eab7cee49ea06e09807cd5d35a555c28549571
    L3.main.w F16 128 × 64 × 3 8d71d3ad4de944896cea76dc174fc817e175f50fc5ae58e377e1c02d85b0e1c0
    L3.cond.w F32 128 × 81 × 1 90d12c5af1289a0a66159a2275a645be338fe79c47ac622e32e3b404f351df83
    L3.skip.w F16 128 × 64 × 1 4c3324ce45510ec3144d6cef78710003399e4bd6dac2b8c717aafd0d2f2ef913
    L4 eebb80eb4f3b354f63882e55f801e9a4a7e50d4a35982435604ba4ab96d7ce71
    L4.main.w F16 128 × 64 × 3 533759f852026b8bd44a3d7f8561bd6df6618584152e1db53f5044f8f0b64499
    L4.cond.w F32 128 × 81 × 1 27feefb74f0f7027135c6c75113a038b1ca1a8b157607d409f3c5bd7ce4f95b5
    L4.skip.w F16 128 × 64 × 1 7033cc51062620abf4895e233d90aaec6b5a83a857c620e51488aef10aebf0d7
    L5 44a38c6e48d9d324237855df3020c16eb07573d960d068af66182d971879bb99
    L5.main.w F16 128 × 64 × 3 9bf4d1967ce80c9cd746984ae356e19b8097036f75edb6009ce5334b5a129e64
    L5.cond.w F32 128 × 81 × 1 f90f434a83d85819cc64ee2acd7b11f80eb870232eb62b62cba15c1a13066c26
    L5.skip.w F16 128 × 64 × 1 01ce454658d3b61083a6a2d07e427240338549dfbc7cb7341c33296764f76bea
    L6 3dba569afb14d532d74911b60b007a26639ae59e458365bca847ee59b881f207
    L6.main.w F16 128 × 64 × 3 8495ad53bacba7f291a8f1d7523f19e6ad35b05e2f548940b0cea8fd77fd54ea
    L6.cond.w F32 128 × 81 × 1 aa0090e13683863d5a73b4842d49120b32cb69997690d9eb202997d659679266
    L6.skip.w F16 128 × 64 × 1 569407eb72e06b2f83902a8b25842f2a0162f18a461f02438f1386bfd22dd271
    L7 e7b76b01868a27781ac567dd3298a19bdd24de65bdc5bd3cb89207c0063c888e
    L7.main.w F16 128 × 64 × 3 e7dbdfab93288b81b55f54cfc74f4454b5f70c45d72da150c7aac6e4daa02eef
    L7.cond.w F32 128 × 81 × 1 f806780eeb1e0aeb362c1a7ee1ca37c314b5f7c55ecc12adec2e6e95ac6240eb
    L7.skip.w F16 128 × 64 × 1 80f5e981c48ded66dd9a1cf45d00417070c5c36ef33a58e752b39212a7a3d1e6
    L8 1841b7f5810a19d2109db54605ac5fb18d22b55ae6532a5906f6c6d723b07812
    L8.main.w F16 128 × 64 × 3 2a87bbd117ae9ff68f7f08eb5724f96e9b28aa0c1d6fe57a2885d8838268c9c9
    L8.cond.w F32 128 × 81 × 1 27e681523600c29ddb13a17723bd364f1d2d476ef404114baff072906d694ffe
    L8.skip.w F16 128 × 64 × 1 e15e2eb94d7dafd471494e1ec3b4129e047a6a031d4bd65b5d9843efc9719e27
    L9 059e4eabf7d48ff8e67f19d80da6f78b62e6882d7c5fe54972a40b6b2accd9ea
    L9.main.w F16 128 × 64 × 3 467981637d5e70a039fb06c2509d8f95d349b89edd9268d07c09a5ee2c5f2abe
    L9.cond.w F32 128 × 81 × 1 60bf59b5c43a98da18c45e0763ac1ee33c353ecb00b5c5ef87f6a991cda5790a
    L9.skip.w F16 128 × 64 × 1 6fc2e24f6237ae70147c614da9dc9790d70a9d50d625f562c252142e6ef562df
    skip_cond c10e71b5f934abb5d2677c77f97c1bb763ffb9ab53bdb857aab7051ab8bfee59
    skip_cond.w F16 128 × 81 × 1 37f2c06ee30259a0ddd23d850d3c2881e7033f203413a7a2200a11aa7c17e6e7
    post0 ea2b96aeac7633d0203fb7aba392207140d6ca658f85ee985153104a080f08b0
    post0.w F16 128 × 128 × 1 4907d794605d23ac41941228d22ddb1bcfb566bad36eb53ed5781da1d45e7b75
    post1 7ce0cf61f6cf3fab87d6765f1c91d1143d11baaac2bf198d68106f8d14ea0491
    post1.w F16 128 × 128 × 1 2b8b9cf195162d6381f35a6b0cf500a1803e4383e0b9eaab4409926d89595c2e
    post2 2255d594755d0d0ba6c74f68edac08a4b08b845e84c48a46c6548feeee3667e6
    post2.w F16 128 × 128 × 1 4131ca99a42d2da6bb0f0d121166d063209b12448a29404b52b1b516207a1912
    post3 330c2d7c329269b97907ef4876e5bc73606de63bb215789b6cf53768055d9b3d
    post3.w F16 128 × 128 × 1 56bddbab3764fbd6432743f52ad1638c08d8df63b32d87594edc83fa365c6242
    post4 193ac09e6dd03daf047687fa8aea45848247fa6b3f09a328589a8ed484556a88
    post4.w F16 128 × 128 × 1 2f7c89b43c467fd4e0de600e79906b0f917b8f983ce1fcedaab6ec5da59e0b17
    out 6affca88b561b81a66471cc977bf59ffc2330e47d69c6fcbceec19bf280cb8a0
    out.w F16 64 × 128 × 1 e82916274acaa6b39d4e9285360d6059e6616f2683c6f1e2e6cbbfa8453968e8
    embedding df3f22fadbf754f891f73ce5c7b2ab1d1a0d7ef7c6da54adea7c644d641a4c5b
    embedding F32 5 × 16 cee9308216240b97fedddf3d26b98c0a0dc8c55348504e0bfb64b64e91b61b3d

    Tensors outside the networks · 8 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 62a66afd2218962f3ef52cc9ae42bfff20b340146c3b6b48e6eb0d5c01ce55a8
    tensor 3 F32 129 df93627a4f946013c5b8949f3ad9245c252fa1b3a5d9cf2fc57925eec4c9a5ec
    tensor 4 F32 129 5884e5de7968178d0a76343551be7e9c6a0cf72e0cf63a8027ea474dd6757000
    tensor 5 F32 1,600 15aeff320d55d2f6273eb2db37057acc89ac87b83aeaea83bfabd5129df13667
    tensor 6 F32 50 921bc13b4854e7cefe4d37c43e8dd2e49fc366be3bf5ba1fdb11d79b4d63e573
    tensor 7 F32 400 cb8c596106ba68ef16a1907f022bdba46ee9331449c685eda6cb581abbb1e9b1
    tensor 8 F32 8 857b658f5ff141ba1534b5e529699e0df0b23bfb65320018475e11377b7ef1ff
  • HATSUNE_MIKU_V6_ORIGINAL.vtmg Miku V6 Original, timing · package 6.12.0 · 127,437 bytes · container version 6 file 2b2d7ee9e24912c8110f311231517e8a137de20770a787dd1763090a0f6732af all tensors (18) b04f61786c4b18eb727bc1741c87f5e45f5a0b9d07a8f9a8428872d0ffde7aca
    Network, stage and tensor hashes

    Tensors outside the networks · 18 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 2,624 1554380ff4a57b028f4253dd6f2f1146c13d781be7c3f4ca7ec06495283e5bff
    tensor 2 F32 32 f37504c6b833200cdf9ece5bec51f51a8e977a613679459e9c45ac68b625ba7b
    tensor 3 F32 1,024 68bb286c3b694a3395ba9d01943a7aec956a6431843d9999d136fa7417564476
    tensor 4 F32 32 91752592ffa3bc62b7aae0bc33f2fc23456ea6294911c878edf7483b32f2965a
    tensor 5 F32 6,144 e9e513de8e0295df4eb164115eb0efb1904d364ef16db9ddbcbb3c10884ff838
    tensor 6 F32 64 a4c53fdf7e201188e8dd13fe8eeea68e2777ab4c9d5acba163dd65763bf77dd8
    tensor 7 F32 320 5872ad415ca4cb8ecf347db840e1623330af495f19b06e7bfc749dbb4c5a7993
    tensor 8 F32 64 cc525638a5298316640ab4600956c0abb1a7d40207444ed878525dfcfe4b5278
    tensor 9 F32 6,144 cb07656e316eaad878f385644732f9956b5a03d69b4155f7670ebe47dd6544d9
    tensor 10 F32 64 a465977144af4d1c03826e95346fb312c316b4dc5b4b95cba0cb8528976f29b5
    tensor 11 F32 320 5ad1ba4e8c0362200980bae8ccfd0cb423ac894dc08d9407814853ce93dba4c1
    tensor 12 F32 64 5f3e630ecc4ae33376c735c0087a64944a982231b9d91b5878a3c6d465d79859
    tensor 13 F32 6,144 f757d971ba62779a166e1abd6846daf37e876e48ce96ada74ae51b9d8c3cf8fc
    tensor 14 F32 64 dbfb4be2f2fe443e0ae804f440f706bbf7d23c9f7beb8a8daa92b1e159ef41da
    tensor 15 F32 320 1bca01faab312650cb3d72ff220399d46ca5e73cc27b263261351ece43726ebe
    tensor 16 F32 64 b49a4935409d2f8e65b4da561fc6dd2049ade56f74f8be027098ff619fc6dc4d
    tensor 17 F32 96 99594a0f1e2e00418652b87cb6d197c0160f606d02b1e02209bd69cd5b740e39
    tensor 18 F32 3 4ef4d5e90d3ba2b13b36aac082df7d43ac00fe3a0a8900e8c4511b40913ee83d
  • HATSUNE_MIKU_V6_SOFT.vtb2 Miku V6 Soft, timbre · package 6.12.0 · 7,471,550 bytes · container version 6 file 9ea53e2b8660ea17dad51bdb8d1543de3c347cc5971316b9c7affc8c3cae1974 all tensors (120) c2dbb7b80427b7a07c19aa4357c6face400f7bb83ae2c5f14200ba764b6a4f95
    Network, stage and tensor hashes

    phonetic encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    5548f2325a517c2f8710f4f5cf82c0f0de87ffc07043333da5b2121005d0777c
    Stage / tensorTypeShapeSHA-256
    pre ffc19200866a4c72c0be7e78488e9f07ea03530299e4cb26e66bcb741584349f
    pre.w F16 64 × 415 × 1 f85e186c8f8884db39e803be1ff05f09dd2622f416f487b63afb272c52b253e6
    pre.b F32 64 d2f68fd2906c6568b3600d4754a18bc20c71addaf0ea89e0b04e7d64844491a0
    L0 16fb1badd38b3d4a11f60b426572c269febe130d9dabb83d33b191550ffd78fe
    L0.main.w F16 128 × 64 × 3 fc1bae998894ccf5d7eff09bae67e506ec77dd0be23a0b412cd310ddd384eb4b
    L0.main.b F32 128 191dc70592580536c7257be07e5d413a59f393df2283ad92011be8a2ad269fec
    L0.skip.w F16 128 × 64 × 1 9102134cd66db9d9c474d07533b6afdf244d0244f5faca3f9c9343821cde30ab
    L1 c62033bd42ab5b802ff41c3971af5328e9db8c681f5c20782a83099fb5a4c87f
    L1.main.w F16 128 × 64 × 3 f73db61d0ef7aa829f5f1daec4f4b3a30d5bb48a3e3469725d6cff5766b483bd
    L1.main.b F32 128 39299a6f19148d02aefd8c6710878b0e8c3ae7a1b646b7bc5ab0aa5f171058f2
    L1.skip.w F16 128 × 64 × 1 31b7412d4ab4e204c8bd08345a51eff0e51824673882c67943ada7c417b9609a
    L2 30abd457c5010389854b9d94c20e5c1bfe0af142ce602b83b583686fd70f83ed
    L2.main.w F16 128 × 64 × 3 06e8f6b20878dcbc1964c124c4b34c110bcd054bed90f3d7fcc9dc8e6cc74c18
    L2.main.b F32 128 2995f4518d05773d21df46e44ce115fc13a45e80d81026da61eb3f112e982cb2
    L2.skip.w F16 128 × 64 × 1 7c51bfaed2b4e95c1d40e4fd2bf8522fa87b60671ce8731f998908ff626de2b7
    L3 d84d87113ce29db67cb0369547096255bce0835196683aead875585437d3f1fb
    L3.main.w F16 128 × 64 × 3 fae0f34871a6fb65e7cc7ff710d6d90fac516977c8f47bd1bebb217ff638409a
    L3.main.b F32 128 fa7cf31df15ed2148af7ef7d0fc88bea4ae8fdf043152f762f25838ba8c62082
    L3.skip.w F16 128 × 64 × 1 24ef381dd2657747c901be38621bd93ace5885b2a7ca911273dbf70d1535e14f
    L4 340ee44070db9873496e41b2da5851553beb0fda23bc84841429270ca38a6088
    L4.main.w F16 128 × 64 × 3 455ca453fc5314de3d48e8cb10d5364ebe682580565348ac42eeba456164f678
    L4.main.b F32 128 3dfd546f2c9c55a8c3f33b7f93da92c742cb3505b1b40f6db2bccafc16b5fad5
    L4.skip.w F16 128 × 64 × 1 514236454d69e8eeac3a723c9447ee694fd343aa10242dc190e7edee3fb7b5cf
    L5 eccaa6bcc8165436613ef71f6a336342d8dd40ec63cdbb0b48a941716c437cc9
    L5.main.w F16 128 × 64 × 3 8454e4766f47b6e63547cbf61c1ee62e072b26e61e67fa5d241314acc6551deb
    L5.main.b F32 128 19428a1f5fae81d969c43e9dea31a953c9a909b5a39df2c4df9a8ed907a1b2ab
    L5.skip.w F16 128 × 64 × 1 7e6a40f4eedf29959f4dbdaa1eac46af2deab5cf39331e873035e57a3c50f156
    L6 42e6774eadd887844fcbaa593765d907beb1e278204049d28cabc40a8bb7286b
    L6.main.w F16 128 × 64 × 3 92af19320c4b715f2fa1219022a47fa8c3085f6bb2921bb0e1b3b12b61c3e568
    L6.main.b F32 128 da27191886b6862d1d2cba18b22c6b0297aa14a5990dff0f0e817cc61651a130
    L6.skip.w F16 128 × 64 × 1 7f7336091e9253f755d8828fd0312ebcbe4110dc264dc4f80be314f92d90b10d
    L7 cdde293bc6dc3637194bb52e95e77c188709ae99201480b1072ca781676f8925
    L7.main.w F16 128 × 64 × 3 2361bfa0b3fcdbe1cd378f04eee7312501e32e4640e731f834061ef06e9ed76d
    L7.main.b F32 128 8a37c70197aa00a1be7fbea20fe771594f65508cf58fb92ada5ba8bc541ab98f
    L7.skip.w F16 128 × 64 × 1 6390d04ffbc5e19bdc245e729e6e2bc31d2a69a332fbf3b74da4fc2df4ee5031
    L8 bacaa34a671a311fd2e6b2c5f050bcf08fbbf8842ede9a164d523fdc0bfe7a4b
    L8.main.w F16 128 × 64 × 3 14bf20de60b988d089d828fd9c731351718f769a278774e6f9c96f3c7a4e12f2
    L8.main.b F32 128 5dc9ec5bd22ad66e0c37a4bf726381024a5e33d0c441c611e84edd3c7e481b46
    L8.skip.w F16 128 × 64 × 1 d187c1585b934a0aca7c4ea46393623eeced3c2e900b99a14a9ff91665196421
    post0 5b2f801ea404945985373ec6939fc3840f136649ee3de2dc821aba215f73a1ef
    post0.w F16 128 × 128 × 1 fc8b8ff774f74b0a8df0bf77aa26d2c5c9333da4a6f040b694038d72754a9f80
    post0.b F32 128 5aecaff9c55270cd10c8b231454ac634b3088ba5de0710ef08ab01ad1ca576aa
    out 828624a6bbc6ef7fe709589d6cecb3f7571151bb53fe7d589d75712bd3e93f10
    out.w F16 40 × 128 × 1 81b44a4e49fcb53bcaf7411d3aaeae82c4d14f6638721e849c41602a50e3d9da
    out.b F32 40 9f147df10b56e32cef8aae33f4e580b673aabc307aafeab54e75ed878951d914

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    0e69c8525bc637b1b33e89d6567545d417e81cbfc79db985556617bb9c36c1a4
    Stage / tensorTypeShapeSHA-256
    pre e11846f4cd59a10d9957c554f9904c7f5ef7b5aad28b2d821b95d78110c8baf4
    pre.w F16 64 × 84 × 1 c1054536b26a315ef2f9b2b0f419298ba5e4a02fffd99151ecdfb75b81efcafa
    pre.b F32 64 c03bc13f33db3fa07553869d0eee4f3494137e52c8b8eff54319c1c5f21efc49
    L0 7a070d773758c7859e889156ad2c368fc124e94b2cb737eb6eee84a2a678efb6
    L0.main.w F16 128 × 64 × 3 a8312175feb8df4a8e191e82ca4ed9b93026de0f2a6f90c4454bfd66411d6406
    L0.main.b F32 128 2be867ce19613418e9bb1f16e7251953f991be99336a20bba2e08798e26a0bd2
    L0.skip.w F16 128 × 64 × 1 bb1ca07c3cf0c8ceb9528dd027a9530ea0295d65f3b2285272ff1c52793c020e
    L1 67513b96940fe00215d7c413ec56b18a475a7603a42753741425a2cb3eede937
    L1.main.w F16 128 × 64 × 3 e9718efb74ec484420e89a160e89ce9721bff91247aded7d21dc91474b34182c
    L1.main.b F32 128 160f7a688e08a5998b14e07e0e0ebeda8d76a7ec634e521164f6d40eb1006d03
    L1.skip.w F16 128 × 64 × 1 9f54045c4e7e26f42dd0841a133ffda4ab772c7d08090346d09ad3c051f0ea47
    L2 1e190c01175a1214439184def457a2a82320e7c5ca4b1be783153a3b34d2d541
    L2.main.w F16 128 × 64 × 3 8a024c96198b9af8530ab6a44ce3c49c1806e1218e2a2534b0a2ae9f0644e1a4
    L2.main.b F32 128 69fd14b57b7ade22f655c04639755f19bf8ab2e2ba93ca9e564e10171e62035e
    L2.skip.w F16 128 × 64 × 1 0a492a2aafc44f057c7dd0dadff2ae12ae89ed8b9321897049fcd854d9f14047
    L3 4ab36712093d9ef3a9d29a4c5a8c952b52a9584aba1430e7b15ff131b647d374
    L3.main.w F16 128 × 64 × 3 f9be6bef10c95dd30bfdf45c686887234076bf46a5e2caf103c4293b3aaaefbd
    L3.main.b F32 128 42a152ce29219cf9f64c5531751b8c9b1977e4f71f2d7e7c11972b951b3decea
    L3.skip.w F16 128 × 64 × 1 09cc49afeeee495f26d6d9ded351502862880c19f035e4cc23dd67aeb0b808d7
    L4 210972ae9738fa3452e824a9f1cd5d18a3a801c874a73dbc627a9b5565315297
    L4.main.w F16 128 × 64 × 3 5af824ab9742ec96449189d91a5615afe832fde4fc7e0d567e8d8b27314a940b
    L4.main.b F32 128 64c024e60b170f07a7ef007852a6af7b64384758e73540942c7afb8f435b495e
    L4.skip.w F16 128 × 64 × 1 74805b50e9ac815a07eae1f338bb13b616f55a9300093743c5ef95dbd0e0a9d5
    L5 7ec30988b40ab0a78896d2ddee28da0800448debb6ee70b92eb710ecc9d59c19
    L5.main.w F16 128 × 64 × 3 a60d5ec2cae9b5321249d8e2f61f353e785ec717e2cd2ada9f81fb25dcab6b6c
    L5.main.b F32 128 c8fdb8fd9c869662a16222484e1d0bc932e22704c30c498cdbebae6df27d6c06
    L5.skip.w F16 128 × 64 × 1 5ab5720c7987d6584714e892d38b8f0723b7ad6e6da0b19fc26ed80b43540b45
    L6 6abf3aac509e3bf714f6fa9594c26ab577f433605aae7ce0e93d18907de37028
    L6.main.w F16 128 × 64 × 3 ef9b2ba62f4e3b6efa0e7f917e2f1f0fddecf7c239057b097b9be0d289440afb
    L6.main.b F32 128 bb5cf2e299061c19f1ea2c60c9c964d3c05383229e0009cbc1bd9d0d2cd47121
    L6.skip.w F16 128 × 64 × 1 069901fc3976f7b5a76736b1cddbaaa9dbaec2866c4e2410f049045b25f86f1b
    L7 db61b6f5304f94857d8ad1f2f575371623cbf0cb2bc7c2fbf9e31128a71d9d3d
    L7.main.w F16 128 × 64 × 3 fccad6e58591b342ebbbffbf2533f942cbcf9d498bccdfce908ffec40e46d08b
    L7.main.b F32 128 e4141cf4f87962cde62e5016304f99f81f74bc3ed8b119a93041ef5248ccb714
    L7.skip.w F16 128 × 64 × 1 7f98ac409d5a5a9c944f0560f116d3892ff7a3680035cacdbaf87094b0b141d6
    L8 43af3e201107aab2e76bbf719ceb91d4d760d8cfa7aaead5cd5e186c33b6a347
    L8.main.w F16 128 × 64 × 3 4be54abf08f2e1e10ea977852f70152a5b17370ed2116e5dedf24d8373296be4
    L8.main.b F32 128 50c94cfa5565c7f1955ba7d7e2f246b19d0d3a98bfd129ea8c903f6caa71bfbf
    L8.skip.w F16 128 × 64 × 1 5e8feb1d2ca623e42f8edf443d2ebf9a106a82f12ff9cf5b6a0c14b45052741b
    post0 2896f35334101d19f27570e6e7316283417110bac0a94057c8f5f18d0a5aeed8
    post0.w F16 128 × 128 × 1 da9ef7079a21c2d15e899532d493b065a522eeb1c28530c407c793710ca47026
    post0.b F32 128 16c84b9b7c83b03fca631be060b17b512652426ff1b1573a0626133194cfa069
    out 52abf691a455e9027aacc640f7173972b33bc036b98b78aa1ca99c41dea80705
    out.w F16 40 × 128 × 1 776ac1f5ba817d1df72f68092d682b4686840cc713459cc981aa14372fb959b6
    out.b F32 40 66a59bfb0915555c94ff9ccb29bb9ea2bf95b8ba37e0617cbd1b225278d924e5

    timbre decoder · 96 → 96 → 216 · 8 layers · 30 tensors

    b177f27b737b4d8068ee71d4b25e07ef6ea4db0191a723f2d616b59a46a5c59e
    Stage / tensorTypeShapeSHA-256
    pre 88ec2df57d2ec40d19005045c5e0bf020b6d4f6380e385800679794be8ed055e
    pre.w F16 96 × 96 × 1 f8f3982fd52df9986b18564d0966c147d6ab42c92c4c688714f9a47c31bb4097
    L0 135902ecd32de108393585f7bd8fb5b9f5bf18e9df6fd76641d4a76d704f8ae4
    L0.main.w F16 192 × 96 × 3 8feff9b7bf51407e7186b4bc50a1679778a2aade94d6463600edb79059aedee5
    L0.cond.w F32 192 × 144 × 1 2d1e52a5804491c6b8ebfa80d6cf7c019020fcb4030513aff3a4a916447cf86f
    L0.skip.w F16 384 × 96 × 1 f8d155f454566208a9903e91fa0f0deb998b680160d6a467600f916fc9767c44
    L1 5caa5ed92dbb33c7d434f15049b27af3e9b55a8b0638f4873ca1e4e21e9d96e2
    L1.main.w F16 192 × 96 × 3 21241f53fb3910b8ad7deb5b2b5ea13946bcec545a30bfa388e51aa48f57cf56
    L1.cond.w F32 192 × 144 × 1 533be9f9714e4aefee0228efbfe44f37a1e0f0e1e5e5eabe5de2255b69e4c048
    L1.skip.w F16 384 × 96 × 1 f4c08e6dc68eaee485fe8b7498583205ef75a6207817b921469c6c64e9da7b86
    L2 aeb7983ca00db859fcd715a7ae9e119cf5c81fec1ee301105df7a4b8c7c4e13a
    L2.main.w F16 192 × 96 × 3 2cc103772f3c80c1af318668f44bbaece64018a2aa4e0241ff99ba5daa5cb750
    L2.cond.w F32 192 × 144 × 1 054af5d9fb7a22219c52fd842756683120bc850f9c304dd394726def35855063
    L2.skip.w F16 384 × 96 × 1 c63138f59442cabfde8d516d0300902a85f4a46f2a6536c4aee637c397d672e7
    L3 1476a271377f67f6d12596b7d4dfd8e27fdb0de1bb86a8a33101306b05bd3870
    L3.main.w F16 192 × 96 × 3 8471ed46029cf8ab83076efe595dd63bf509b1041de57f9177e8a062d1cfedc9
    L3.cond.w F32 192 × 144 × 1 67c682f68eeff66c92f514f78cab277c53a4b37462109ce3c0360829f9da0f31
    L3.skip.w F16 384 × 96 × 1 b0524c18f71386dd7ed48a1074d34445e13c6648f839fdad276f8726bb7d15c4
    L4 6af75a774422676b1acaa75f9c2bb8c9956597448535b3c1ad5292e27ea8266c
    L4.main.w F16 192 × 96 × 3 96fc73d7f0a91747da9a69987c973084d949921dda3666390d4f0a0d722290c8
    L4.cond.w F32 192 × 144 × 1 a93f834f68c254f08d4cd8bc51239e01476ad72fe04f8c33de6089b0ba6ce991
    L4.skip.w F16 384 × 96 × 1 cc87552e62fb8aad688e03dbc424f609a99ba1eb8381da3050b5c136ebc68565
    L5 63222ddbc557ac819fe952d44cc05330931c859d114106ebbd6e36a77160a305
    L5.main.w F16 192 × 96 × 3 f531e1c16ebef1a5f76c54ffe9875b75f90f689043aa7b201fabf042a74c41de
    L5.cond.w F32 192 × 144 × 1 c8de3a7e2c5d99c943bd602abd3850c9bace3294a7ae3fbdc9aa1c90ce87ed16
    L5.skip.w F16 384 × 96 × 1 9372120737e0abf8455fbb04872aac3830f262c12684dece8408a2003e3d86b2
    L6 8a2fdac305e300da787019ad23543c10f7921de1d0522ff72f55323d2e05487e
    L6.main.w F16 192 × 96 × 3 580353a44cc89f9a39c529403515fada9a74b29f2ee30287b0deae9418cd48c3
    L6.cond.w F32 192 × 144 × 1 3b04a2a6ff63a109b978f92d7812a03c12323be3883ee9caa7b237e83c8a7e2f
    L6.skip.w F16 384 × 96 × 1 c4ada8ff6309b4857a5d49f04640c01a628e623b3face1fe2c55dd3ad556e945
    L7 d1aa12fc66c3f43505029a075df4e36bb6418f982addf5001f9040a9bafef83c
    L7.main.w F16 192 × 96 × 3 baff9eb9a8ceb56b740ca4b4468f4d11d79268e0183ec82cef4b0d459adb9c24
    L7.cond.w F32 192 × 144 × 1 f287bc44c510fa36ea57a341426353636b6dd398721c6c8f3fe42045a4dbf716
    L7.skip.w F16 384 × 96 × 1 cd55ac02bc413549ce8a2ae6aa79c06496a7cae5f46f7c6d3fa4c5eb88c539f2
    skip_cond 1ab8d8de7c9e342f81a8a4ca1e070b613d51bff962ee11f1a490c09105b25fc6
    skip_cond.w F16 384 × 144 × 1 17b8b8dae6b66a3c495574343a0b4dc19bceaede6c19e33962c8a192249d55c0
    post0 0e9ed68de7f66cba5a393fdac975835ef81039cc7167ba8eefcb39d5b7b1f92a
    post0.w F16 384 × 384 × 1 7f2ce576b034ab2e3a144dc317d99df1910f4ecde58cb02ec2dd7e8d1ce1c241
    post1 dced9b3dadb36be5adc70dda4ba8e06dcca73bec21fd1f8c3e14eb9668142a50
    post1.w F16 384 × 384 × 1 39ed8c9d862bb1dda36219602ba96ca00edb5e2062f699ddd5c5fe54ded289e1
    out e67932a43e8b87ae1030b9bb715b492cc72a1216554f78c9b296af28605b4a0b
    out.w F16 216 × 384 × 1 794c5f853147c164dfe5537664b4a2d40b1ae23f175200b097ebadfe36bc129b
    embedding 1d09bbf131b687052b40d9544e897dfff4a0db44af6bd95964affb9d1639c32e
    embedding F32 10 × 16 3fb5e4e2fb342f4a4a5daf15707bb7a6ef6427db1b15cb377ad89da7b94fb7d8

    conditioning network · 36 → 128 → 128 · 4 layers · 18 tensors

    b7ffb4fb85ae082a9b384abb6760de60aa1c409013212e2b6625f600c227c6ad
    Stage / tensorTypeShapeSHA-256
    pre 516a53324657d38e447afa55f36d7537033167191acc0768c464db44baf1a857
    pre.w F16 128 × 36 × 1 8e1d0b33dca4c0cf07663630686fdbd8e79c366ff9815b2ca6889114fc0ebffc
    pre.b F32 128 3890fe463a9bf80493c6955e9977b33013e161ae35269795cd4275f0bd873049
    L0 338d42dfe23ab325601ba61ab4ebe2661b4db80df71ad80eebd3588c7350dce9
    L0.main.w F16 256 × 128 × 3 8bd10845e27435690d35601ae7e43fd69c16f59cc14ac90c03d2cf0858600248
    L0.main.b F32 256 77abe4c64f9d6739dbc5bb339822d0bceb1366eb5e650571d6732e67a0ff33c9
    L0.skip.w F16 128 × 128 × 1 dd177d6bc47557c646746a503ccbe59fc55cedfbc33222bca6d48dab3330e08c
    L1 95ded0b7111cff51fa112e20ae237cbc8e3207a30646461b7ac4e3f33a6592ec
    L1.main.w F16 256 × 128 × 3 152deb96660ce92f5265fa6d52e684929f9105f2e357aab983b5c43c9a0ac96d
    L1.main.b F32 256 2a1eb3f24ae72d225ea87c12f0eac646c2615b9437ab08980f8873804779f633
    L1.skip.w F16 128 × 128 × 1 c80ac0ec033d5f13b1efe5330c14e59009d4c40a2fdaebeca46f457327e8e61f
    L2 8448936306a0676bea1fa550a592612b2ff7a54d742cf8161dffb885214e2a12
    L2.main.w F16 256 × 128 × 3 18fbfd101f3c7e4d700025414ed70e2ed173b3b698c27e238eae1571e1132ac8
    L2.main.b F32 256 8c0c367f62fe0f61ca15537bf3a73138bab989e3f70845e03acbb69c06462974
    L2.skip.w F16 128 × 128 × 1 43079398db14683dcb6d141faded1660bc5aca4d22266d7b6ea425e36d1f89a9
    L3 6404023dc90262730714b5b5ad92c17a3b9bb2b6eb1a33d75b164e502ad4a97f
    L3.main.w F16 256 × 128 × 3 e384b48b88349e2654b28e989bd1f32f9394da453c787af27c9073317edf7da5
    L3.main.b F32 256 fea15e1d8e8a8fc0d6c0534cd30e1a77531d308df1d6c9e45e7c147bfb0d3aa2
    L3.skip.w F16 128 × 128 × 1 9d0172e0437fa152eb3549681bcfab86733a609b84ad4c7632d14a6f94c79607
    post0 76eef87046279137f5ec575e38989c18a4513ca8f8eb35a0c4e41e519b8b3b6e
    post0.w F16 128 × 128 × 1 36981db5cff4eae95fe3030743437f66945fbcf63464a427c6eace1e260ea6a8
    post0.b F32 128 d2f0fc5def1e50a350273895fb596a00fa0ab10907611843b0498c31dc64cbea
    out 98c942c7ed0e51eced84581ffde30686831065c68c906b1ce04ec18bed1b743e
    out.w F16 128 × 128 × 1 6439cf92d093d999c6c44a907f4af98c58345ac78e7178084424a4a88238dda3
    out.b F32 128 7945a6175843d222b2c11b448995e6875c313a4fc0e008f20529c941d7f83884

    Tensors outside the networks · 6 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 1a9a494e6916368df97b4cddb769198adc4cf4756dfd7def80cea7fac98a1569
    tensor 3 F32 16 27823e666b33d183785460753d2edb43ce351a39f876c830135f8d45e27d9e75
    tensor 4 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 5 F32 16 0c436b6e98efa6c9661a9f6dd458ff94140385493667cd75a97c1a04144dd2aa
    tensor 6 F32 80 4cfe7b6c16c1fc80a6c20a3f3752280446fe736d1b03c2feefa020656f321e4b
  • HATSUNE_MIKU_V6_SOFT.vpit Miku V6 Soft, pitch · package 6.12.0 · 10,182,139 bytes · container version 6 file bc7bfb8aa3205456f3d2f78ca83d63e85a6976931d4fcedf6a54f63107d021d5 all tensors (197) 9819858bdf6e53c76ea2e1f369a9a221cd51d7d479ad5c5402bac2ee71974b50
    Network, stage and tensor hashes

    pitch encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    678a4db590e8c656d1846fd9d27cb97f40e73a2466ffa9539b9046303d9dfbb8
    Stage / tensorTypeShapeSHA-256
    pre 43497ec2e15b68946f0e79704acfe6c8ff4f87286471b3f76c3694abd26d7bd6
    pre.w F16 64 × 415 × 1 c1de0156019cc4f95b54145f66988a5270860a9a21749d5cf80c353ebdeea327
    pre.b F32 64 d72d38f1ba130f7ea348f2f823a397c0333770f552bb148fb05fb1bd3b1011c5
    L0 766836000ed587ef3368a6333a8807867c345197427c80cb9461df1bb1231304
    L0.main.w F16 128 × 64 × 3 83cd63ecb27f1f1c4f7bef79412928a7d9609ff73d10f401506e44150055004b
    L0.main.b F32 128 56dbecf82fe0ca7a405b4af5ee0b6bd7554d944cd40351be4e78b23fdc9c4baf
    L0.skip.w F16 128 × 64 × 1 00395444cd7334308014a1c0fc2e7c3b14a6ac8da19480f614552b1efefddce1
    L1 ed52ce806a17603948fceef15f9df555377bb00bc7dd8263929b0928604fd79f
    L1.main.w F16 128 × 64 × 3 ed17b83557a2e86eb7765b5a0b306549f3878c1408eb44b83b535f5157c6ff53
    L1.main.b F32 128 b7a0a6a4741a5b2971d2d87f9e56c1061e76ac81b1a5711764e7cd2f375c63bd
    L1.skip.w F16 128 × 64 × 1 00160e2ed227a1adad80dbe46658b5ecc555ec07f83cf284f661acb7dc588664
    L2 1bdec08f576683a0ed60688ba3af1bb8929c973333f171f42ac6b66b54f332af
    L2.main.w F16 128 × 64 × 3 a499c50ce8a45faeed34976a04e17de9e337ac4b556a46d04c45570ec280391c
    L2.main.b F32 128 af8d764f698d8759690978e568a28e74e1d66f88c8f308aadc705433b1c37b90
    L2.skip.w F16 128 × 64 × 1 aab81b7bfe1dac6230b46b5e472f8cfaeba6545bc9d0ca0807d23c5fbbaa3739
    L3 5480158e7c3d449932785179191fe2f79149247c9ff773980f49d502a40521ee
    L3.main.w F16 128 × 64 × 3 a23a319fcbb37b99cd2c48addf186f43c343499f37c25b427d4e4967978b62fe
    L3.main.b F32 128 4ead129f498e052971ebbc84f676a0f218421751471d95d9c3ccb0cff8b4ef83
    L3.skip.w F16 128 × 64 × 1 e8f0b4c6853b5645c6c58bf722f899da7d3320fe60ea2d2206339bd6af71c202
    L4 bc99d39686fcac9a47ab38eb2758156d40fddb4108efeb5186f049e7b78e838c
    L4.main.w F16 128 × 64 × 3 c15bd1995fc25b9b421bebef809c6037c5beda77d596aa3c42b166a016463623
    L4.main.b F32 128 00f50d4c93c5a14e58db391c80346d9029ecfd2f12981332dd2e95a1f84391d3
    L4.skip.w F16 128 × 64 × 1 6c8ca6eaf85c0ffa0b8b2b6a653afb027b5fd16051f9483e885f2de6d13ec524
    L5 10b3789a1938ccffdee555ee639ded090e46268757cedb87b4d11bd376fa85c2
    L5.main.w F16 128 × 64 × 3 5d8b233c7d35cf0b2a3922e13d7c765757e10a3012ddddc87809a30314a2233b
    L5.main.b F32 128 3d28c53c60332b8c05ee0397315793de4297db75b6bcbff78373725f985263b9
    L5.skip.w F16 128 × 64 × 1 0f6849547919cd8e5b8f206e40b52023ab0e1be3e8d4a5cf906977b43319033c
    L6 3faaceb0f1cb914444b305b6f51fd04e916be1c6f78da19304a0c1be52b87fe8
    L6.main.w F16 128 × 64 × 3 0070e98de97187623e9c7b95a0716f3c0eb19a43cf46f4feff9397e7b5c07b26
    L6.main.b F32 128 c0b3a088048ed65c32b9b1698123ee835fd6518b027f46d5735c4ecd4cc7a4aa
    L6.skip.w F16 128 × 64 × 1 8503bfa569c550ff3231a969329ea4ee8bd5697bcda7391f7b1c0c83630b2f4d
    L7 17cdcd5ecdfc04e98c4afced7fb5453f063ba33c62cd57d790d80f9343d82c1a
    L7.main.w F16 128 × 64 × 3 62c5dd9b7f9d674cdcebd74cc4eff36041acb8983a37767023ad788aa6a1424c
    L7.main.b F32 128 c4e0b75e4d209b7c5b50e7e5974f19a272424552236a369daae3c1437057dc1c
    L7.skip.w F16 128 × 64 × 1 03c72ce7cffc257f45172a52c231d63e4a711b6cd231676a0dce4d989b118446
    L8 e990ab25cd399fe5f3e19a42dfe937b9242b0abdd54754e4c64e1189b57de28e
    L8.main.w F16 128 × 64 × 3 62b91ed84c8b50ee77647f9f2d1af821dcd6cb3a8ea7c08ee4ab462237fa4bc4
    L8.main.b F32 128 732214a4dd1f2072b42dff535189cc35d9e11a956f868cc0a3ec464217295692
    L8.skip.w F16 128 × 64 × 1 a49d9da03b4242bdc9d153b7529fd61732a06b1727a78cbc1fe6357cb8ad5311
    post0 788eaf477c09dc58d2654e4280b32b79935ae7acd9deee6739f6d9c7bf11ab3f
    post0.w F16 128 × 128 × 1 8486c7f4e1e7ccb4e558ffd25ca74a7f10e72b40276b68e725baf20861393c3c
    post0.b F32 128 c2cd17b9cdf7268ab21470c2fc5a0ad0ace947217199c4a7352ed6f1d8792b65
    out 51012282fc7b1b2a5dc2a8206a6bc41731191c763559e4580b9ae01595cf2054
    out.w F16 40 × 128 × 1 e3b35967f9f8f64b6194fb0cd781dfc58b6be878f563e5e309fa2e76e66b5d2d
    out.b F32 40 493acb0fd3e0383476b6c1fe31a0cfaf7454a8222521a1ffa0076d26103c5837

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    d5c33c2b858d99a374d4cde5a029786ff2288660c7e57afce85f9f795e971d52
    Stage / tensorTypeShapeSHA-256
    pre b5d0e1446b506a06ceb21eb5a1d897da5e5a21f12edeb3625e5bffc7e6e9588e
    pre.w F16 64 × 84 × 1 4f0961fd9cf6da7185e7b9e60874ab3ad07a4e8d78c3cc64d7418d814d2a47b0
    pre.b F32 64 748d9c277d839ac9a811c425a2cee918e57886eb139b93ea3c0ab9f905c3c5d3
    L0 d33af827b1cd2d7ba93b5de86b8944029858f46db39a30f7b1ff4071f8537d4f
    L0.main.w F16 128 × 64 × 3 95a543d9a3f966e4f234a750c1a997b32d0fafe275f39815d3cc30803814f005
    L0.main.b F32 128 ea4250a6029306b7dde4588903b4b104a6d10b194d3a35f8a2850df831f19c19
    L0.skip.w F16 128 × 64 × 1 03ac287c8e7ca3e6ffbbc6f36e5aa9cce2e95fec541704cd719fc7b1468184a3
    L1 e5bc4de898656a45f1a7b21ed28c3e41c99cf90808d6de19e334dad2081dec3b
    L1.main.w F16 128 × 64 × 3 3963778d3577967d37a3db1357b2b337cd796d878cf580e28b5f27d00c7766b4
    L1.main.b F32 128 222db4e17d8256cf2d5eb6552ad73c9cfd6fd7d1516295fb7bff36b9dd3e54d3
    L1.skip.w F16 128 × 64 × 1 94751de30e410cb7a30271c502265de650daffd734a7405edc6cd95ea288b72d
    L2 be37af39fd7275689ca4748714dfc4093917df77da9c5383fddd1956af29c743
    L2.main.w F16 128 × 64 × 3 fe563bfe4ab43c6f8757929cc7dc8b0bc7a8913db2232b38ff40fb3125cf4c0d
    L2.main.b F32 128 7b04f4990595d9d44277e1c128d7aa1e21e8e15830ac22816fdfd2cc8b874110
    L2.skip.w F16 128 × 64 × 1 ebb447aef9e60162c0185e1617af79b88116c3492b728541794e8db689272ba6
    L3 f0446a879e204566123b05c38ebe8f6191468a3e95a1edf2e70c3db041362bcf
    L3.main.w F16 128 × 64 × 3 eddb86ebec5b57c0097d6199bdb65677a855eaf183c623e6ac9d12f5d014c9a4
    L3.main.b F32 128 78197c790a769d6aa909fbff2eba79aa5ab9095c162ec32b928661c23e416467
    L3.skip.w F16 128 × 64 × 1 a49c37f3ee4655bf63fcc735b3d72ff91bbc7dac866a9bf193044b20a1c79e85
    L4 94a14c5361c7152ccc989a08e2c01220e766a677322ce760360e73584f812de8
    L4.main.w F16 128 × 64 × 3 d7ba89a11f5757d6f442301ae3662786649f6f98940c7247ed920a3862b89839
    L4.main.b F32 128 fc2c17f3dc51fd308f46d124f7b7bbd71e06354eed969dd70b87e58b9c241158
    L4.skip.w F16 128 × 64 × 1 b5fa265787cf7752418e91584794f773cd9846be45e3d6ca200388996d31f9d4
    L5 a8e13dd32f2082d913df262964472ff3dac62ab2f5590c0b89d7b51883d6bcf1
    L5.main.w F16 128 × 64 × 3 3c103f01577dc1b3e1a68a22629dce53ca908ee82a8693146e8614c50f10aff2
    L5.main.b F32 128 c4207f01a04d3afe8c8f009aaa716b765c1478fe3371e92e7ee4d39ce0638d12
    L5.skip.w F16 128 × 64 × 1 b98659d328841b98154b0df05de53908e6ce66bd75f3ca12e9bbd2bb7a77e135
    L6 979c032a33505d1ada9b0b5be28c21b91dc1fc7b6b493d7d4121259037e139bd
    L6.main.w F16 128 × 64 × 3 bcbac4eb16ef09018008fd2fd1f937c750ac8ae80c8ee456b61a7ee84b75d84a
    L6.main.b F32 128 2985e8b25a4e602f1d294cc283b4c36933802a51073477d13b48e280acf855bc
    L6.skip.w F16 128 × 64 × 1 7eabc058575f1610af33118ad99aeef39ad985a774e4fe1bc8bbebfc9ce4625f
    L7 9673768d2ab84b3847236c3ec9fbb0af937e8e904ef13dbec1e7322921526714
    L7.main.w F16 128 × 64 × 3 085120f46abdf792c11a08c93d172e11fb6baceac13939b5bce7441b78b58caf
    L7.main.b F32 128 125474d6ea0cb49f4fc91fa2676f9af4d058c73892363b0100239f7a2cd49521
    L7.skip.w F16 128 × 64 × 1 5faadf23db52ee3231b4bd9f3728600b0eb616d3fbc1ba40800c28f4c0ffae0d
    L8 1ad1c36ae1814cda4ccae5c49e16d2810e5a722197fb7cf3ac171bf685f86a52
    L8.main.w F16 128 × 64 × 3 c2c918c5e8ce34194f4cfbe71366e4750920a764fa1c0e86fa08bba3509113e1
    L8.main.b F32 128 0568408bcae4459c6b83be59c55b377e9f930e01151a114eb3f881e1405ecff8
    L8.skip.w F16 128 × 64 × 1 d62d1d486b961aa4b35c22a54983b626660338183a75d29ebcad59ca86b3cc20
    post0 e35641b465cdee391ad3e89b57e60a26b9dd163a0798787491c6c33b4ec67784
    post0.w F16 128 × 128 × 1 7047cc725fa6e30d55dbc22b29892a75c69679f08bfd212755f96593e6869427
    post0.b F32 128 1ffab68644cfb8fc0ab1d8c35415b9436e186915386f5f3a6b30568ca6378b28
    out e7045d51e3a791c7a292e8fe9ef8b48d38f2920749d4433a1e3dac2298164b48
    out.w F16 40 × 128 × 1 b1ebd840f3ca9ba226a621cf91beb5f8e72f9b63eb9c4715ccdb99df793ef88b
    out.b F32 40 d19804596ec5becf2bba5a0bc6ccd86151cb847b8c5a388def5fdf0910e6f62a

    auxiliary pitch network · 129 → 192 → 140 · 8 layers · 30 tensors

    17434f9df33fe6500478c06b3e70be0451143851a71b7b00377d2861f0d65ac0
    Stage / tensorTypeShapeSHA-256
    pre 0a0df9ba243678acaea6452624d7152e11c44b09e7501243f0253905021316f8
    pre.w F16 192 × 129 × 1 8af1df7131261205aac7821b07c631eb4231ca5020c76884b27100087a3df587
    L0 81ffbfbe1c61fdb47fbcf84994130097b23bfaf15903f6e1a2a45ece237726e3
    L0.main.w F16 384 × 192 × 2 2d81885eeda11a090df7358a8743ca30e9ff7278185b466d0d283b6cc6fe90e0
    L0.cond.w F32 384 × 52 × 1 c236d6ccb5b20e7bcac8f0e03218db5979114d013b9c1ead9c3946992dde48ff
    L0.skip.w F16 192 × 192 × 1 edeb4200a8cf4f5bc3d8bb5ed20d26dad73031257afcebb786ea7a66395ba0f0
    L1 132a69334cbd9b17609989d29814e9b735f21c1132951c543de447373c4ddfae
    L1.main.w F16 384 × 192 × 2 a3433301f79855c72c5a5ccc7d585210adc7ad8b2abee0386e63f7a9202703c1
    L1.cond.w F32 384 × 52 × 1 0e3ea2a269bb6f89263d4fda17f3c7e838d6e4bbea1a3581588a1bc02e3df13f
    L1.skip.w F16 192 × 192 × 1 008cc90651811c87494b6631f377520d62705894b25799d3fb3f0f687079f311
    L2 309ba54478426a17927fae6d60b289828a00eaa795b011934ef2bca1befa6cbe
    L2.main.w F16 384 × 192 × 2 9fb9f78b33216cfd1ab567566413940b1161262b91e237b8650d9d1cc5dd5cc2
    L2.cond.w F32 384 × 52 × 1 e6ed5e051d66c292e5822c991d87027e2d34df30e39a5d7aab87e7ad00ad0d50
    L2.skip.w F16 192 × 192 × 1 8302f54df28c313aaae541c8e371bfd682e16d0554d6cd13f2782424062880af
    L3 d8b4dbc7882076ac9b5956e504b85e73a5d2c5d9bca60d1f3dadfd903823f27f
    L3.main.w F16 384 × 192 × 2 36da91dc6a7ebd9f407cc13d580340ff3afa808e5fb80395012788d8307eb546
    L3.cond.w F32 384 × 52 × 1 fb8e7ad14427c971dfd832db757bd203295804f8ac22f52ce8b688776e03eee7
    L3.skip.w F16 192 × 192 × 1 b7eead89e44009f8b65a9aec2ad55afd9255b173096f4d68afe469bde1d9481e
    L4 2b358a5bef13b32f775748eb8f9ad62116a3e72df74d261270a8116880587de2
    L4.main.w F16 384 × 192 × 2 b33b381b251e4e165cef1806713053afabf96b3c35048874a6d76a4ba3ca2f49
    L4.cond.w F32 384 × 52 × 1 169731ec4e630ce4fd535941b0090157e7d41c37ef1f755146125638f44e4838
    L4.skip.w F16 192 × 192 × 1 2346c63133f8461e2ba3e90ae295debe4d35ae6d517d899721fc5ccfb07366b7
    L5 4536cc742560a1a8af0daa4b05e23fd0293e94166d3f3ff756b91f0f4e574e7e
    L5.main.w F16 384 × 192 × 2 4bc334fa09aa0e5269f146b0d0158df661268a40a2997a2f5a9a557b90d8170b
    L5.cond.w F32 384 × 52 × 1 bb20d435c423aee3d3860c526c9cb7fb5a965a612dd95642b1f678adf81a98f0
    L5.skip.w F16 192 × 192 × 1 f5ab52d7bef14553644edb335b73fadeca4059ee7685603ef78894b18985ae4a
    L6 26592c98b2d3cf59a41edd59d7884742a4f105a1d39e02bad664a5d396d4107d
    L6.main.w F16 384 × 192 × 2 b73a198dd7731ffb3b797acc39dd19e5dc3631f4746e890caeb2796665a5e10d
    L6.cond.w F32 384 × 52 × 1 5dc826bab1ae37220b750926b41861285d085137855ddd323ae26708705f1a13
    L6.skip.w F16 192 × 192 × 1 86de968b2b51ee33a684578153add356cf4c5e205ed1757f3ccb770c34d4444e
    L7 d0f7d24a2dc27bab81533d2792b5b078dc9a459bc231db1ecb7a9e08ad371274
    L7.main.w F16 384 × 192 × 2 3bfea4d3ca8ff8aea30a92393c0ce91ecb5952c7c387e8d47935d5b4f1b3036c
    L7.cond.w F32 384 × 52 × 1 f30e5a3813b9b29a0320d7100e9fc33000a65bfae74ae856927581eafaedf04c
    L7.skip.w F16 192 × 192 × 1 49b9e339c31ab6f29dca618a2d28e4ee5122e97a21a18d7d357295b567b9c002
    skip_cond 3ca44fd38462d814820f7df7b8bc55c55272610aecefe913fa2a582491b65fae
    skip_cond.w F16 192 × 52 × 1 3a12979024ed761a7bafc4b58ff7babe1ea2bdcd137b7a1b1a783df223234114
    post0 ab75e7f43c331265cb2c9f4dec092b91f20a53b62cb0b3b0118420036278a969
    post0.w F16 192 × 192 × 1 83ca364193231dc9788fe41be292d52bfbd244962c512d0e266b9ba307a536b1
    post1 c94d04aceee5d781e07346a496f81c9fd849510882e76a85b645dd1527460929
    post1.w F16 192 × 192 × 1 db38489c4be3cb40c5528bc5d4521a921e0d25030bef1400f94ba37456f7238d
    out 2cce50371fe3e9c88711a70a43138bd065e2102dfd9d6a38c1ebf220db64a4e5
    out.w F16 140 × 192 × 1 e0e061afe4405e3ee0b64fbf775ede5ca7bd64e8f626ffb97c936679d46883c8
    embedding cab88e000c1a2ea8004e3098150e3c83db1264d0ca7f601bd99b0e1c1082aa2a
    embedding F32 72 × 16 9829341f1c5977b4ea3de6c9a4abfe1cbdde035b0f1ed738630a42305cdbb37f

    pitch context · 136 → 64 → 64 · 16 layers · 54 tensors

    1102993773c33e278e431e3c7b9be89f460312c43b9325b5fd73fc767e45c427
    Stage / tensorTypeShapeSHA-256
    pre 97e016a0ccd603345e76956439e11eaa1d77c206ff5141e6c610f78b3c4f519f
    pre.w F16 64 × 136 × 1 04c9fc4b8b4595c183e43ecd89fb31dead90d27dfcfb5bab4de91d11d6d4fa5c
    pre.b F32 64 0122dd53aadfa002d50244d1927f8869f3ece31a2c367f0a6f0d6980d932eaa1
    L0 7686f0fb241486354d6b0be9175299d1003e5b3b3e88829d7f9fb2388078680b
    L0.main.w F16 128 × 64 × 3 3287dd5dc61242d895d9547283f8c173fec873b24d9256da943df6e27945eecd
    L0.main.b F32 128 f55fb2c0d66a08c9763f1dd526b1b023cc7395ffabdf93fdeb4b267a7e1badd8
    L0.skip.w F16 128 × 64 × 1 96ae24414115cd039c608c506faacac1f0510a1ceef279047ba1985fcc089d0e
    L1 5b3c8a5f507a1419a6ff73efa8331f1b7a4f3b5420d69aae27881181f135326d
    L1.main.w F16 128 × 64 × 3 d27a12c93361bde2191276495728b3de51b16aed3ecc21d862899992723724cc
    L1.main.b F32 128 1f7f24010d2f3b0e7a1e5a576b99c74e485da62966befa609a5764a08debbd9b
    L1.skip.w F16 128 × 64 × 1 5bceaecd4410b914d2106cd92c7c594ca57befab9f331a2614a2e225c15bfcea
    L2 903da550bdf8374c81b499d37dd8f8512c88d5c8c8edaccd277aabe7bbeb2382
    L2.main.w F16 128 × 64 × 3 b8a2fec991d94225c70b5c095c0e055a8dea6f11031863348a20b3a51df59e3c
    L2.main.b F32 128 f71ee07e3a81a31477c2d30ea627f9b489177493e5e89eab0e03fac34c477a5c
    L2.skip.w F16 128 × 64 × 1 fd2f8180633efa88b1bb713a7851aca122aa1c795c4a765a290a32b995cf91ac
    L3 a05fb4b5cb6a2e691c662dee02dd6f8d47d15f64cf8e9ab9df83685158b2cf35
    L3.main.w F16 128 × 64 × 3 39c5dceecd5e3ca1ec3c4b83433568ff5bd48c2f920ac84b32301670731db1af
    L3.main.b F32 128 67ffee30e9cc11a0bd67d74be57de5008b9f7daa266e7cffb3708cba9c402dd2
    L3.skip.w F16 128 × 64 × 1 65ddd8003e05c2576067695e4ecdf965937e87efaf3b26c97d52cb567d6dd687
    L4 5a0b7ca0c61c8bf892a3cea98b7bf448ed9da5294108a793d04f541ab7ca4772
    L4.main.w F16 128 × 64 × 3 684f185c2bbe33a3fd632197f6f2b983796f834d9a46e38e5b9ca8d64fdf29d6
    L4.main.b F32 128 487b3aa0885d462168bc2f0ca33b5d2119b2d19141fc6ca3342d788b6e0ed53c
    L4.skip.w F16 128 × 64 × 1 61929dd2e2a67e6b45d6ebf68e685b5f559a3ead30c83e178047b1ff177e4bc6
    L5 1ccba5abf0b6698650b5a0aa9d9b764d651a655496d7f44b80331eef6c48214a
    L5.main.w F16 128 × 64 × 3 e856f9e3356de8814b991db8bd8e1ce55cd4a2dc1b46fd5e1ae5425c9811a634
    L5.main.b F32 128 437a36451deb9b847ef1974c51066f91fe6ca66d0081774ccd5dd80c3ae3b700
    L5.skip.w F16 128 × 64 × 1 3e73724d489e960fc0f84ea3c51b6dd8a6e602aa65ca18f4d5df51e1656f8ae2
    L6 c93d807373f862b41e4d76e8fd2c7d5f0f1341acbd62f30e6989f31d1cbab14b
    L6.main.w F16 128 × 64 × 3 406af85d5232be1ac97496e5fb4ca6bfe6f2cbfe80c66f26f9ad569be3bc5130
    L6.main.b F32 128 06a44d0ebf3cc6bf6cf13f93b0174c816036b7356111fa0d883e32ae657dd8d9
    L6.skip.w F16 128 × 64 × 1 258e6948e57c94840c3f02dd729b1b2160eeaf3ed3472bfd4ffacbbe5d149ed9
    L7 732375bee7a6152a7b3c71e34c5c040d44d1ef76ad2d94fde0db96c01273591f
    L7.main.w F16 128 × 64 × 3 995a3966128e9ecafd336cdb2fb318db9a9a42fa459cd6390af7169198563914
    L7.main.b F32 128 94b99b72fa976fe4d24befc03f6b036e7d04805a6ffb39f0cb8106c159bccb7d
    L7.skip.w F16 128 × 64 × 1 2e85d4ec2dc33565c8f72a131f6d21e889de3f0ce00abfbe1cd0c28d9d237c8f
    L8 3d3263e2b68060835d2a10db4f6db8149ff69ef89e2b4b419ecffc1e4aad6c79
    L8.main.w F16 128 × 64 × 3 d8c700189d1149c29ef245cd5150a59e840a0dcdeff5fde4cad17fa88e4b85c6
    L8.main.b F32 128 87ad56135ed555fad68b0b1847e705ff73166a443528bd38989e4fffb844d771
    L8.skip.w F16 128 × 64 × 1 81085ab9c7f37a745592c4c40ac3b4daa8330330c2e05368426036ebea689908
    L9 deff4ef56b86eb70b8c1c5b913059b74bac5361faf1ff8b139e5e8af0508c9c8
    L9.main.w F16 128 × 64 × 3 7974bee8de04334f2dc2ae681db8b62f94283f55ba889fcd392336fe783dd50b
    L9.main.b F32 128 0c298edaec0111e47138f7f5c27b7b2fd3bdab3f364f595207b97772f85b4eeb
    L9.skip.w F16 128 × 64 × 1 47f82ae949f4dab11e3c1151dc3005efc8450b8a332a8adefff03156608a3add
    L10 f88765f4d8b2cf6ba0fad098e9d860b9589c7582110416c5bcff62aa1edbe4a4
    L10.main.w F16 128 × 64 × 3 e0eaa48335bf25e8713cb825128252eb2eeb15a780a11ad5918ff08fa77729dd
    L10.main.b F32 128 1e82d35ac44967237a9d0d96beeee7e43fc52dc4a80cb3ba3632d1d7180f3e41
    L10.skip.w F16 128 × 64 × 1 463443ed9aea7a98a42b22c95420d9acf459f0a22c7044deee6a78abdb5986a9
    L11 38aee9e96f81647fd28fb1d7d9be11df36c6d2ad8e586bf32e51118d48dfab54
    L11.main.w F16 128 × 64 × 3 7a63083febca415e8bd2ee360ea0e7ecc0501d99719ba88efa057072aded6889
    L11.main.b F32 128 4812683976ca100e3fc89f1f53c4be443b2a4e741a62408c1993d6d657818bd8
    L11.skip.w F16 128 × 64 × 1 ba78d91fd497c6289e1cb5cc42281a5f93481d5eb2011fdca7fc66cf46750ca6
    L12 96bd95ba26f8ede29ca3e5ce37ac6c0fdcd03d1197c92f550f56a6e7f677728c
    L12.main.w F16 128 × 64 × 3 8311f4989dfaf1f5b561c4547d39357e774354ec05b31321f622942ec57aede7
    L12.main.b F32 128 c5190b78fea6fafa60c68fe6349cab274195db6349c158807a5cc3a701878086
    L12.skip.w F16 128 × 64 × 1 59a963fd487d183dd8a933b4a035251941f40520a70af34edf60320345053acd
    L13 d249241d5a52034adfb718a8034189c7b4f65be7114f25cac540d6cded450451
    L13.main.w F16 128 × 64 × 3 b13c5b9bbf1eff4bdb28911151eb32b99c16505c99cfe9c8e99e494b31d37ac9
    L13.main.b F32 128 c0a19c58f1d5aa5cce080d9cdb959918cb9651ba24b634946e0b4668542108c6
    L13.skip.w F16 128 × 64 × 1 9763fe866ead66e6687459a39a5af00ab6f948c1750aa77db4352e8ce86177c6
    L14 f6a6aa02ae55996140a83199560c86a92e332f0b0c4b578af9fd2bae7ed1391a
    L14.main.w F16 128 × 64 × 3 a083a4d15f8f98a5937bdddc4ff962f8d0525bf71f2f6e73feda4641d117cb8b
    L14.main.b F32 128 fc3c572fb8214f90f767694751465aace0f382ad47fed2578c5e0e39a2c50eff
    L14.skip.w F16 128 × 64 × 1 d912dd9b5666dc11f431afcd4c4b6cf4e43bee8ae5fe50a5a0d57d6719ec2664
    L15 5d059d2700139e0c86b84be09226e1330cbe613ddab04f7e73625b08f51af8b7
    L15.main.w F16 128 × 64 × 3 2dc434638ab7661cb916eb528b09d142bc56e2c4409c18a1322f915cf0d01b43
    L15.main.b F32 128 d4982b08a5353bfff1f6dea700a5994356a85db9239184f6b4debee1f2ea2516
    L15.skip.w F16 128 × 64 × 1 25987fd1f9bdd19506aba2b389dc3b008708b894ce54c17ba588a872c0a8dddd
    post0 32dbf3b8d0a16bd5346d6a6a7efff86b6c6ac59d7f037399a625dca764d6477c
    post0.w F16 128 × 128 × 1 81021ba7b12c352982103fa535c8da48c0e1c7b7bc35dc0d8cee9422a9b7f180
    post0.b F32 128 e1c37d858cf3c58ccad4bc7ad12f470e61fc42321003aa079b12a870aea47a45
    out ff87f1879d4f193aa831bd780f4330b5f41f33c0a459c6826f84fde62ef552c6
    out.w F16 64 × 128 × 1 8168580cd8c2070945df391b16afb1062463bc142ae53e4769a4e50f676486cd
    out.b F32 64 f4a625ce4920fbd9bb8920c3fb67fea23c64f61aa77142b58b17d1c320bc2041

    pitch generator · 2 → 64 → 64 · 10 layers · 39 tensors

    2aad3aeff040a4ad73bbd41e49cf965d21c405b66bb289057c48238865806690
    Stage / tensorTypeShapeSHA-256
    pre 08ea3d355c47c31eb7d07fff3ad706cab2c106ecde3dc03c52f458040eb4f47d
    pre.w F16 64 × 2 × 1 4fdf1d70f1282e40c36e78ef028b6ccf2a921b806d337c9d4544cf04d8278938
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    out 6affca88b561b81a66471cc977bf59ffc2330e47d69c6fcbceec19bf280cb8a0
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    embedding df3f22fadbf754f891f73ce5c7b2ab1d1a0d7ef7c6da54adea7c644d641a4c5b
    embedding F32 5 × 16 cee9308216240b97fedddf3d26b98c0a0dc8c55348504e0bfb64b64e91b61b3d

    Tensors outside the networks · 8 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 62a66afd2218962f3ef52cc9ae42bfff20b340146c3b6b48e6eb0d5c01ce55a8
    tensor 3 F32 129 df93627a4f946013c5b8949f3ad9245c252fa1b3a5d9cf2fc57925eec4c9a5ec
    tensor 4 F32 129 5884e5de7968178d0a76343551be7e9c6a0cf72e0cf63a8027ea474dd6757000
    tensor 5 F32 1,600 15aeff320d55d2f6273eb2db37057acc89ac87b83aeaea83bfabd5129df13667
    tensor 6 F32 50 921bc13b4854e7cefe4d37c43e8dd2e49fc366be3bf5ba1fdb11d79b4d63e573
    tensor 7 F32 400 cb8c596106ba68ef16a1907f022bdba46ee9331449c685eda6cb581abbb1e9b1
    tensor 8 F32 8 857b658f5ff141ba1534b5e529699e0df0b23bfb65320018475e11377b7ef1ff
  • HATSUNE_MIKU_V6_SOFT.vtmg Miku V6 Soft, timing · package 6.12.0 · 127,437 bytes · container version 6 file b3281ffe42830fd9555c1dacb4d04214c0ada53c51dd8c456737914820caee19 all tensors (18) b04f61786c4b18eb727bc1741c87f5e45f5a0b9d07a8f9a8428872d0ffde7aca
    Network, stage and tensor hashes

    Tensors outside the networks · 18 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 2,624 1554380ff4a57b028f4253dd6f2f1146c13d781be7c3f4ca7ec06495283e5bff
    tensor 2 F32 32 f37504c6b833200cdf9ece5bec51f51a8e977a613679459e9c45ac68b625ba7b
    tensor 3 F32 1,024 68bb286c3b694a3395ba9d01943a7aec956a6431843d9999d136fa7417564476
    tensor 4 F32 32 91752592ffa3bc62b7aae0bc33f2fc23456ea6294911c878edf7483b32f2965a
    tensor 5 F32 6,144 e9e513de8e0295df4eb164115eb0efb1904d364ef16db9ddbcbb3c10884ff838
    tensor 6 F32 64 a4c53fdf7e201188e8dd13fe8eeea68e2777ab4c9d5acba163dd65763bf77dd8
    tensor 7 F32 320 5872ad415ca4cb8ecf347db840e1623330af495f19b06e7bfc749dbb4c5a7993
    tensor 8 F32 64 cc525638a5298316640ab4600956c0abb1a7d40207444ed878525dfcfe4b5278
    tensor 9 F32 6,144 cb07656e316eaad878f385644732f9956b5a03d69b4155f7670ebe47dd6544d9
    tensor 10 F32 64 a465977144af4d1c03826e95346fb312c316b4dc5b4b95cba0cb8528976f29b5
    tensor 11 F32 320 5ad1ba4e8c0362200980bae8ccfd0cb423ac894dc08d9407814853ce93dba4c1
    tensor 12 F32 64 5f3e630ecc4ae33376c735c0087a64944a982231b9d91b5878a3c6d465d79859
    tensor 13 F32 6,144 f757d971ba62779a166e1abd6846daf37e876e48ce96ada74ae51b9d8c3cf8fc
    tensor 14 F32 64 dbfb4be2f2fe443e0ae804f440f706bbf7d23c9f7beb8a8daa92b1e159ef41da
    tensor 15 F32 320 1bca01faab312650cb3d72ff220399d46ca5e73cc27b263261351ece43726ebe
    tensor 16 F32 64 b49a4935409d2f8e65b4da561fc6dd2049ade56f74f8be027098ff619fc6dc4d
    tensor 17 F32 96 99594a0f1e2e00418652b87cb6d197c0160f606d02b1e02209bd69cd5b740e39
    tensor 18 F32 3 4ef4d5e90d3ba2b13b36aac082df7d43ac00fe3a0a8900e8c4511b40913ee83d
  • asa.vtb2 asa, timbre · package 6.3.0 · 7,477,563 bytes · container version 3 file 7effd05884119de832448d167450be9224e6d005468789cc808dcde42171e1df all tensors (120) c0c8c3d6a9c2008874a66fc8e1a9d34953481e991272d6ec5f8d496733a40e89
    Network, stage and tensor hashes

    phonetic encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    55929fa497e8ed718c03f817b64ca7c6ed085a647a42c867dc2a906b9202e89a
    Stage / tensorTypeShapeSHA-256
    pre b62b3c8341139a8c072deffbf795529ee26ef4a9e36b958462eb209c65e87d4a
    pre.w F16 64 × 415 × 1 969a54f4000644116c261bdab3aa7902e17a5a5533533ad76c205fedc8bc66f4
    pre.b F32 64 7446f8d2092c7453833482f8fca8188d3e794757ce69d7810829d3d6cc363408
    L0 53aadd0ba9d81d52a44cac9bb57629ec99b2cc3e0f6778e356f6b6299f470da5
    L0.main.w F16 128 × 64 × 3 aa85c488887edcbed8724457d5f8cbdd35758b772e51916cb77ab18bcb8af7da
    L0.main.b F32 128 9069592e3ebab7073b91f28bdbc6cd4e31c63d5ded550f2fef76c802caeb9475
    L0.skip.w F16 128 × 64 × 1 7ae33321cea3ff5457987c90d35ea2d7dc195e472e4a68b82b20ccb7ca541308
    L1 84ee82ece528b4fd708729cf7926e1e86b3473395cffc186059f440af07f4716
    L1.main.w F16 128 × 64 × 3 cc1e12576632ed22e1ba63abb433357c520c28dee072be76db14892597e823a7
    L1.main.b F32 128 df38e0ec08691c07bd5ac0c5077cc379f06ca266f1149c697ab18e05e6edb394
    L1.skip.w F16 128 × 64 × 1 1337e822c92e7dfbae2ceae960053dabbf8c58f411d7b335320ff5d6453f7b63
    L2 eceea22bf6470f90d57dbec705df40c2e386f35877d5bc336f11314112cd63d1
    L2.main.w F16 128 × 64 × 3 1301c23f7f765397b4783ea5a5a1c3ac5183fd0909736e8e9cc29730b765ac25
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    L3.main.w F16 128 × 64 × 3 fd410df42b702acf4d4037367bea4dcfb15632c284923527ec2731cb28f2297c
    L3.main.b F32 128 8767e01b77fd01975e59a0ce2864055ed39fcfe2c07de28af782572524872565
    L3.skip.w F16 128 × 64 × 1 d23f16e4bf02fa33b361d8a3077502093f2291ed4b982d8c56769711e10c23f1
    L4 8e5fb9a8d8d097818c77bddbab71f6e659815dd4ed7e425cb2e22bda830948d3
    L4.main.w F16 128 × 64 × 3 b1dad170ce226aa175ed090438c0b97a012bb0cec899ac56da73c0a3cb8c0381
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    L5.skip.w F16 128 × 64 × 1 00d77e038e495627f0d0ecd5439321922fa429c37f98f74890aad25f2e11a95f
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    L7 51c3c7516a56d8fea687c22c9eebf5c26e7d915a487ba4e7004f0f54d19c379c
    L7.main.w F16 128 × 64 × 3 d24cbcc42ec9639158abf89596cc72cf09f1f0830f74f4306d90cc0242415df5
    L7.main.b F32 128 e63bfdb4ed187a6df651875dea098bb7763c5d2fbee0a227f9d275fe30366906
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    L8.main.b F32 128 4be098c54e8930af63d5fcd924e0df347fd091e25c12539f4b87ffd4d5976a31
    L8.skip.w F16 128 × 64 × 1 4885276609600b357337cd6192bb4c57b664ef95ccf8d52dfcbb30b3bfcbae0f
    post0 200790165ecd9e4df27be5af5f2d105e8cd0589fa860fb953f7b408abd4542ab
    post0.w F16 128 × 128 × 1 134271a0b620ec88efbab7a54f897fa50d19f75d5aa0005cba588cc9941ecc75
    post0.b F32 128 79fef545a786fa971a3393f173169bac16ec446774a5aa54e281f199eb2d31db
    out da172b90eced29cd6c7ab504035550349b706e4db18200cd63151aebc2a01b86
    out.w F16 40 × 128 × 1 e89c95ccbfee2c2bcb504cfb24cc25ad6dbdfb8ff3d868cee0afed448a52055b
    out.b F32 40 4570a9ddedca192efa0e1529bbbb5e97eabed2b0fe2520f5e91a4496e799b7a7

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    d2efbf69a1541abc9800bdf9285dc7bca600d402a901073c69f0968b95a7fd00
    Stage / tensorTypeShapeSHA-256
    pre c26db6277af3a1c6c006132cd3a2d7d22ec7736dc904625dc40965330b35a5e5
    pre.w F16 64 × 84 × 1 a9f9bb2ab7cab4742509ea37da6840d255f9716f72dc7b37d787418b18d85461
    pre.b F32 64 844ce27e66b5f542596e680ec44edb43bef8a1f964dcdb81a54010ca0ceaf71c
    L0 4d051ce5289a585f995ec96b17c759a5ff2bffeaa8bd9e02fb0f2e6a9ca34288
    L0.main.w F16 128 × 64 × 3 fff07462806936aaeb66dc0441350d3034f978796d7a290ff35d841189032cd4
    L0.main.b F32 128 514afa241e7e2cd73e9a94d1335cd1dbb9285e82bc98c7b3a2a3bdce2f2d1127
    L0.skip.w F16 128 × 64 × 1 b8ffbdb8c31971d92702a4a5c7dae91f27812ce5ed5d37df1784e666b4c2854d
    L1 ff6f391f38c8c5aa1d1ec56b8fbc84bd12ea6ab1e0b8e00b88df62b5f65ed3fa
    L1.main.w F16 128 × 64 × 3 bdc0e23a210665666d5b78bb311018c2bd3ea0c34984d56c912d4242df322cfe
    L1.main.b F32 128 916eca0e0df0fdf863c773e87564a18836cb5b7821799bd01f7ea40d70056215
    L1.skip.w F16 128 × 64 × 1 61f698621144748f289228e9834d7732411af3a4e9fd5f7a184f14f2276ae6c8
    L2 8103b490b05668338fdb1a7377069b76174d2695a1b22ce494a7619108182650
    L2.main.w F16 128 × 64 × 3 89a92fd5c7c72148b0f4b7125ad57f1bf641347ef46136d5402a4ca58f99e127
    L2.main.b F32 128 a9be4a2546dc0ae990c9aedc21562ab3b65f584329f6546ac08cd98f53d095e2
    L2.skip.w F16 128 × 64 × 1 a02ae22e3b3dea0abbb3b557e1465e2e019bea4daa1109a41121e7b9f71479b6
    L3 9045c0b80f573d48e24a687e1d127f0fa6546f3ef70dcd82c2b06e2c46a0dd93
    L3.main.w F16 128 × 64 × 3 652b73dfe86f4b747c6ac77df7dc987ca15d89d8ee5ae4d5dd394be7965f3bc3
    L3.main.b F32 128 8d7d9a303d76536669f6d58159228e96f6ca0caac76bd64c4319b96b131b8885
    L3.skip.w F16 128 × 64 × 1 90ea9c7adda2865ee78ccdd1cb5849138e0767a1615805a69866487a8955eef1
    L4 83ea94bc9174dd5b44088791f8ba7d7674464839b5cdf542a443a361180b73d3
    L4.main.w F16 128 × 64 × 3 3475f58698e69f715b2143beb09ae118b699822a19ca99158360b9c1f7ca8f38
    L4.main.b F32 128 b1c21fbd3bc5fb2d8a98a9e8cd843a46ffd1899df744706618816c3cd1b4b74d
    L4.skip.w F16 128 × 64 × 1 5de0223532bd257b39856ff6999d278bd036eddf84ae35b03b0dd91031b08679
    L5 bcc62ac92bd0d3f903bc6d02062a26d2660cb0e554802e2d9b877768055b2d9c
    L5.main.w F16 128 × 64 × 3 952c66df6533a1fe70cfb501bc9e74411d525c04d42d404fc14305806d5cc32d
    L5.main.b F32 128 53294f393d10fd03333026ee8c2d19a5d38ce2b7a2bf92f1f19e248f2bba23bc
    L5.skip.w F16 128 × 64 × 1 8dc6d0c12bff82612482b24dce249d3c797968bbee6dac13073c6c786d7705de
    L6 c284455c2ed165a7c8e84693490131185304005b93adc8b4210dc43ad3637462
    L6.main.w F16 128 × 64 × 3 0b5e6fb08c186aa7a0be23947757d9cdae2c49f580d52c23ff28dea4dc5e83e7
    L6.main.b F32 128 72fc79e500c6321c3b02fe978f30b6200054152a237fae1facf5600adbb88374
    L6.skip.w F16 128 × 64 × 1 be10c7b998e05762d20eadb62be2b01cae2d32b51313508aba8effd283ee8cdb
    L7 d1bda96ed91c1e7b893fbd62adb0450fa233e0f65013f1bba0664aab1d220a3b
    L7.main.w F16 128 × 64 × 3 178a33ff0877e3ea3b95c94dbc16eb4b6c847aa0fbd2f70083f2b325178bcb47
    L7.main.b F32 128 eb97464374f4bb1878106ebe526454fd0e5490a6b4e6c6289557003561605552
    L7.skip.w F16 128 × 64 × 1 276c9bc7ed67ffda0e18e02d95277ea0fa63be9c31adb6bc32130793f533b4d4
    L8 bad34a1717caa3fa1e32a24e5208431e848ba40ebf9cba8ed5ecaeac9dd5d4e6
    L8.main.w F16 128 × 64 × 3 e126d0887fd53fb11cdb435843358d3e22dc923ea2539c882e34a3f794266693
    L8.main.b F32 128 5e58b61b61b15dfffc3c9d39e82c5d3c2434fe89f2e6dc49e1dc3ab0f2b6d334
    L8.skip.w F16 128 × 64 × 1 7987b8e259ef64250036e1ed77e0f23481a2dd63ea0207376673b7c26801e655
    post0 bfb358332449e44aa571b816b00b0708cafec58ececb36d3ff05cae591232dae
    post0.w F16 128 × 128 × 1 c11e5baa1622e2bfe82e4d9eb24d64cb1461794acb2f7ffbf56427a9f6707ca4
    post0.b F32 128 babfbbeb988657717abe94ff98929b4ba4c83f4fe13518860106bca3c60c9b8d
    out 6b7e874fd058f38ddc2cffa52a9d5443d7fe7417d7fbb59ba791277d7467f785
    out.w F16 40 × 128 × 1 6d4bec49f962eecb893893d837478d19b1be07d4c40cfc83f536be930de9556a
    out.b F32 40 57490e44e9bf60a6849d585a62fd8df05545a83eef81e75beadf94355a55f5d0

    timbre decoder · 96 → 96 → 200 · 8 layers · 30 tensors

    8b475e41fa62c0a26aeab109a8d015434ae679c292e0c2873d654b37327d63a8
    Stage / tensorTypeShapeSHA-256
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    pre.w F16 96 × 96 × 1 8289d565337b324966807a0946f3018248d50707315595263ad2d9507a95e06c
    L0 533fed53f696e3dad4415bc75eff79c33a9d83311690bcb956ef1771d97bb0d5
    L0.main.w F16 192 × 96 × 3 8a00a3614a596b77baca1841e4df1a766ce898eb513d2bde5d85fe7716ac42a6
    L0.cond.w F32 192 × 144 × 1 f31fd2598de0e72ece5f96d3b8fe23f62d930bcf566526a96efbbd8e726fac1b
    L0.skip.w F16 384 × 96 × 1 af1afd0b951cf0c68546058fe6eb562df0b971be0ca90fe483950a8de8d2508b
    L1 9b8f80cd6316bc37e8be02f81fc0e43d376a888245d6bdfed7ab65a010ce5bd1
    L1.main.w F16 192 × 96 × 3 049c8fa637246bb344bd88e582c8cfc4a99414cba615814fc8477ad04ce1c971
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    L1.skip.w F16 384 × 96 × 1 00204822d910518bf53d568780f4aca76c53aca6a0caf9b8d69ba28fa0117dc9
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    L2.main.w F16 192 × 96 × 3 96946ca2b809a8bcdc14a189cef03d840c1950fb3a8cfda79749c01e714cfd55
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    L2.skip.w F16 384 × 96 × 1 848368ffd4d5e4857c973fbded5785e2979772f53fec528fa422f7fc8c45c17f
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    L3.main.w F16 192 × 96 × 3 6a41daa1185e705fcd5e76bd9e1b0e7624811978be35f258b85f81c9d4778bbd
    L3.cond.w F32 192 × 144 × 1 4988a94f0b267314b247c8796bf6b6dda2e3d20020e975b93b77bfa3c306876b
    L3.skip.w F16 384 × 96 × 1 2a962abe5863eed69c8f3b8461b377f2dd526708889610139e91410e32e59150
    L4 d3b38a52072960b86cabc3e830a5b76852ccbef247eea70829336fa769e248e5
    L4.main.w F16 192 × 96 × 3 498bd4dbb39b3958adf864a42699bde4943ffb04c486e53bd2ae23ab805995db
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    L4.skip.w F16 384 × 96 × 1 d31c493c32c04d1423933f7c43c3fd7dfce5e9fbb2b1a497c68f49da5756e82a
    L5 32f378b41ed39447fcb32f02a51bb55946bb13f19170916e15eea71b0c69d639
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    L5.skip.w F16 384 × 96 × 1 6f3a1d132b66a16042727446a723c3779a56451137f8e4447e91624d159d39bc
    L6 516ae10d2b499afa04bbb8d329d22afbbc98c3263d6d9654dc5323ccee1c43c2
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    L6.cond.w F32 192 × 144 × 1 4880c159ebc143bec14c23f1dc5fc389e98544caf9ad5ebe9f07b29965dbcf4e
    L6.skip.w F16 384 × 96 × 1 266bc0079c6f9c5516361bfd9deddf986696bcb49705dcfe85471bfa2cdcdcd9
    L7 254eee65976dcdc8b9ab3a3c0ab1e6b227ad3c27c76eba08265fff7237778b63
    L7.main.w F16 192 × 96 × 3 e80cd6c52f12a5b5fd4e4fa80aee50f39dc3461abfce8367da798cf00fd2693f
    L7.cond.w F32 192 × 144 × 1 8a7ea634d29b2c0644445897812ca2dd42c4c4620b06a45cc99f67ce351fde05
    L7.skip.w F16 384 × 96 × 1 11452a5918d827fc44c708eb6617dccc88d0b42fa86167d5f99525847350431b
    skip_cond 7122f4734a7ad3eaaa3b0f5a40bbd826426574a89bbbc44cefc5f2d1aae7d652
    skip_cond.w F16 384 × 144 × 1 cb1bfd3e4fa9007dcc8deaa6e89a77ace87fab09bf78b6572d3a8d6419b722a7
    post0 8d648cfa7fa129aae7c5c7302e8a5a80527279095ea2bbdc490916385e84b3d6
    post0.w F16 384 × 384 × 1 0567c699c9df73abec3dfe0f28c24818c785d6414c4a74304179425320a44062
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    post1.w F16 384 × 384 × 1 5885c6f4d67376793d5ef20e792216453f6fc7b7ffa0a774ed9af31c3d634ad7
    out 0325e8c2e7f4b2f26ee9860230e8eb6cd60ee74e03cf44e84892588cac2e4d78
    out.w F16 200 × 384 × 1 6e53278757f494bb2c4642d8407fcffea301c602132f327b8abf5b5d86c5c8e3
    embedding 3e568e8c1c4f6c5ff23b6bbb332a1f44021ef41a9450d353595117aaa3c15952
    embedding F32 226 × 16 1852c20446cbbe2c5814064b7f486211b8ab40ab9f98d65379eed77af5331b60

    conditioning network · 36 → 128 → 128 · 4 layers · 18 tensors

    9c054bd961eae87a941e3c53fbae0a5286c840343baf670839402385b6f174c8
    Stage / tensorTypeShapeSHA-256
    pre cfb38c85002ca1e8ab0f87d176b4fc7549ec558e816a06abfe37128e8add6b91
    pre.w F16 128 × 36 × 1 026a016c38afb0cf8e585e8fa6c319c0f9c69d54b09d2ff8b334bcc65f0a4a3b
    pre.b F32 128 60fe8192189f46048611877424956ab3352c54304a2d43b541aec23889fcd68f
    L0 8576dc9d8968512160eb387042cd36658a4eedf47880b9027196bfb5fcbec974
    L0.main.w F16 256 × 128 × 3 1fb111959e29546eb69a975edef8f5ec04641e1ee62670fe2e97edcfc5232a6f
    L0.main.b F32 256 d19833f6018d19cf9a19ea22a383111e5c6d06f7908bba58c37e17569f3c52d6
    L0.skip.w F16 128 × 128 × 1 8e628bc8efe273c8812550d5838e89c955315a56747f33b6877e213872ee290b
    L1 3a7294de97545f0b8ae540a17a8c0deb4325f9568cf4d7795cb08e4823828ed8
    L1.main.w F16 256 × 128 × 3 432cc1c53bc8fb640ec883ef1612f6d8547e9551b13cac5cd1e2ed5cabfe41e8
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    L2.main.w F16 256 × 128 × 3 9333cc42fb11b99b4cf74dc410ed9dde2290418fb6f4162ace2efc719ad38448
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    L2.skip.w F16 128 × 128 × 1 be20af121d5d8ddde2c069ba575a9dd4b8c00f4091d9e4a642cdda4f14caffb7
    L3 f6ad25c098c96b4b6863dbf9823e4f3b03da35064015a63f3e4affc263d875a7
    L3.main.w F16 256 × 128 × 3 fd7a7f1d858ca1a6c77840ae98727ecb6f413ac0550927eab4d1eba8c5b91bba
    L3.main.b F32 256 fe9130490c85ed63c54178de94f361627f2a2fedd8d702c541d8d68b26f3d2bb
    L3.skip.w F16 128 × 128 × 1 fd2861a05fb8025ff434877fb89c85535ee0d358aa6d0e8e8bc05b62e370eecd
    post0 2915cca8e175a340af40efc4d2370e82d216e3ffa3c2c079319e07990929bacc
    post0.w F16 128 × 128 × 1 ed50419a38804db284b7d4fe07d462e0d1289b249313e569d27958fa7dc19f45
    post0.b F32 128 ab6fa7020bd16578b88b15711c885642094efa9a2a106b596b1fbf41f1b1f0ad
    out 02e526c3c6c3881d3c4470bea00aa37b32383d1bab774f70334056ba42c2d33c
    out.w F16 128 × 128 × 1 3407b97aff3d01e9ec4ae77790de532632044c3618ca56617688480fcf6acf0a
    out.b F32 128 626cfa22bc7d619557d277471ebe1f71a58fd56627fd5317313bb114bdefa26e

    Tensors outside the networks · 6 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 f96481dfc7e385920ab56855c94f6fcb0a40c2ba124275081758d18a67e9bb0a
    tensor 3 F32 16 27823e666b33d183785460753d2edb43ce351a39f876c830135f8d45e27d9e75
    tensor 4 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 5 F32 16 4afe73e40a89cda0be6d8db43caec775ce3231037fea92847de094a3c72a66eb
    tensor 6 F32 80 65f1a67269bc289b08cac4588e213343a1a9dd7c619396c56630233eb1446b7a
  • asa.vpit asa, pitch · package 6.3.0 · 10,205,125 bytes · container version 3 file bdd4b275602f8d926d4fab2ce858460a74faf182c21e7e8073b96406206e130d all tensors (197) bc3b0bf300fad4db0bb77f799bd3e1895cfe66bddf8c8288654da9c9cc62643e
    Network, stage and tensor hashes

    pitch encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    678a4db590e8c656d1846fd9d27cb97f40e73a2466ffa9539b9046303d9dfbb8
    Stage / tensorTypeShapeSHA-256
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    pre.w F16 64 × 415 × 1 c1de0156019cc4f95b54145f66988a5270860a9a21749d5cf80c353ebdeea327
    pre.b F32 64 d72d38f1ba130f7ea348f2f823a397c0333770f552bb148fb05fb1bd3b1011c5
    L0 766836000ed587ef3368a6333a8807867c345197427c80cb9461df1bb1231304
    L0.main.w F16 128 × 64 × 3 83cd63ecb27f1f1c4f7bef79412928a7d9609ff73d10f401506e44150055004b
    L0.main.b F32 128 56dbecf82fe0ca7a405b4af5ee0b6bd7554d944cd40351be4e78b23fdc9c4baf
    L0.skip.w F16 128 × 64 × 1 00395444cd7334308014a1c0fc2e7c3b14a6ac8da19480f614552b1efefddce1
    L1 ed52ce806a17603948fceef15f9df555377bb00bc7dd8263929b0928604fd79f
    L1.main.w F16 128 × 64 × 3 ed17b83557a2e86eb7765b5a0b306549f3878c1408eb44b83b535f5157c6ff53
    L1.main.b F32 128 b7a0a6a4741a5b2971d2d87f9e56c1061e76ac81b1a5711764e7cd2f375c63bd
    L1.skip.w F16 128 × 64 × 1 00160e2ed227a1adad80dbe46658b5ecc555ec07f83cf284f661acb7dc588664
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    L2.main.w F16 128 × 64 × 3 a499c50ce8a45faeed34976a04e17de9e337ac4b556a46d04c45570ec280391c
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    L2.skip.w F16 128 × 64 × 1 aab81b7bfe1dac6230b46b5e472f8cfaeba6545bc9d0ca0807d23c5fbbaa3739
    L3 5480158e7c3d449932785179191fe2f79149247c9ff773980f49d502a40521ee
    L3.main.w F16 128 × 64 × 3 a23a319fcbb37b99cd2c48addf186f43c343499f37c25b427d4e4967978b62fe
    L3.main.b F32 128 4ead129f498e052971ebbc84f676a0f218421751471d95d9c3ccb0cff8b4ef83
    L3.skip.w F16 128 × 64 × 1 e8f0b4c6853b5645c6c58bf722f899da7d3320fe60ea2d2206339bd6af71c202
    L4 bc99d39686fcac9a47ab38eb2758156d40fddb4108efeb5186f049e7b78e838c
    L4.main.w F16 128 × 64 × 3 c15bd1995fc25b9b421bebef809c6037c5beda77d596aa3c42b166a016463623
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    L4.skip.w F16 128 × 64 × 1 6c8ca6eaf85c0ffa0b8b2b6a653afb027b5fd16051f9483e885f2de6d13ec524
    L5 10b3789a1938ccffdee555ee639ded090e46268757cedb87b4d11bd376fa85c2
    L5.main.w F16 128 × 64 × 3 5d8b233c7d35cf0b2a3922e13d7c765757e10a3012ddddc87809a30314a2233b
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    L5.skip.w F16 128 × 64 × 1 0f6849547919cd8e5b8f206e40b52023ab0e1be3e8d4a5cf906977b43319033c
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    L6.main.w F16 128 × 64 × 3 0070e98de97187623e9c7b95a0716f3c0eb19a43cf46f4feff9397e7b5c07b26
    L6.main.b F32 128 c0b3a088048ed65c32b9b1698123ee835fd6518b027f46d5735c4ecd4cc7a4aa
    L6.skip.w F16 128 × 64 × 1 8503bfa569c550ff3231a969329ea4ee8bd5697bcda7391f7b1c0c83630b2f4d
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    L7.main.w F16 128 × 64 × 3 62c5dd9b7f9d674cdcebd74cc4eff36041acb8983a37767023ad788aa6a1424c
    L7.main.b F32 128 c4e0b75e4d209b7c5b50e7e5974f19a272424552236a369daae3c1437057dc1c
    L7.skip.w F16 128 × 64 × 1 03c72ce7cffc257f45172a52c231d63e4a711b6cd231676a0dce4d989b118446
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    L8.main.w F16 128 × 64 × 3 62b91ed84c8b50ee77647f9f2d1af821dcd6cb3a8ea7c08ee4ab462237fa4bc4
    L8.main.b F32 128 732214a4dd1f2072b42dff535189cc35d9e11a956f868cc0a3ec464217295692
    L8.skip.w F16 128 × 64 × 1 a49d9da03b4242bdc9d153b7529fd61732a06b1727a78cbc1fe6357cb8ad5311
    post0 788eaf477c09dc58d2654e4280b32b79935ae7acd9deee6739f6d9c7bf11ab3f
    post0.w F16 128 × 128 × 1 8486c7f4e1e7ccb4e558ffd25ca74a7f10e72b40276b68e725baf20861393c3c
    post0.b F32 128 c2cd17b9cdf7268ab21470c2fc5a0ad0ace947217199c4a7352ed6f1d8792b65
    out 51012282fc7b1b2a5dc2a8206a6bc41731191c763559e4580b9ae01595cf2054
    out.w F16 40 × 128 × 1 e3b35967f9f8f64b6194fb0cd781dfc58b6be878f563e5e309fa2e76e66b5d2d
    out.b F32 40 493acb0fd3e0383476b6c1fe31a0cfaf7454a8222521a1ffa0076d26103c5837

    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    d5c33c2b858d99a374d4cde5a029786ff2288660c7e57afce85f9f795e971d52
    Stage / tensorTypeShapeSHA-256
    pre b5d0e1446b506a06ceb21eb5a1d897da5e5a21f12edeb3625e5bffc7e6e9588e
    pre.w F16 64 × 84 × 1 4f0961fd9cf6da7185e7b9e60874ab3ad07a4e8d78c3cc64d7418d814d2a47b0
    pre.b F32 64 748d9c277d839ac9a811c425a2cee918e57886eb139b93ea3c0ab9f905c3c5d3
    L0 d33af827b1cd2d7ba93b5de86b8944029858f46db39a30f7b1ff4071f8537d4f
    L0.main.w F16 128 × 64 × 3 95a543d9a3f966e4f234a750c1a997b32d0fafe275f39815d3cc30803814f005
    L0.main.b F32 128 ea4250a6029306b7dde4588903b4b104a6d10b194d3a35f8a2850df831f19c19
    L0.skip.w F16 128 × 64 × 1 03ac287c8e7ca3e6ffbbc6f36e5aa9cce2e95fec541704cd719fc7b1468184a3
    L1 e5bc4de898656a45f1a7b21ed28c3e41c99cf90808d6de19e334dad2081dec3b
    L1.main.w F16 128 × 64 × 3 3963778d3577967d37a3db1357b2b337cd796d878cf580e28b5f27d00c7766b4
    L1.main.b F32 128 222db4e17d8256cf2d5eb6552ad73c9cfd6fd7d1516295fb7bff36b9dd3e54d3
    L1.skip.w F16 128 × 64 × 1 94751de30e410cb7a30271c502265de650daffd734a7405edc6cd95ea288b72d
    L2 be37af39fd7275689ca4748714dfc4093917df77da9c5383fddd1956af29c743
    L2.main.w F16 128 × 64 × 3 fe563bfe4ab43c6f8757929cc7dc8b0bc7a8913db2232b38ff40fb3125cf4c0d
    L2.main.b F32 128 7b04f4990595d9d44277e1c128d7aa1e21e8e15830ac22816fdfd2cc8b874110
    L2.skip.w F16 128 × 64 × 1 ebb447aef9e60162c0185e1617af79b88116c3492b728541794e8db689272ba6
    L3 f0446a879e204566123b05c38ebe8f6191468a3e95a1edf2e70c3db041362bcf
    L3.main.w F16 128 × 64 × 3 eddb86ebec5b57c0097d6199bdb65677a855eaf183c623e6ac9d12f5d014c9a4
    L3.main.b F32 128 78197c790a769d6aa909fbff2eba79aa5ab9095c162ec32b928661c23e416467
    L3.skip.w F16 128 × 64 × 1 a49c37f3ee4655bf63fcc735b3d72ff91bbc7dac866a9bf193044b20a1c79e85
    L4 94a14c5361c7152ccc989a08e2c01220e766a677322ce760360e73584f812de8
    L4.main.w F16 128 × 64 × 3 d7ba89a11f5757d6f442301ae3662786649f6f98940c7247ed920a3862b89839
    L4.main.b F32 128 fc2c17f3dc51fd308f46d124f7b7bbd71e06354eed969dd70b87e58b9c241158
    L4.skip.w F16 128 × 64 × 1 b5fa265787cf7752418e91584794f773cd9846be45e3d6ca200388996d31f9d4
    L5 a8e13dd32f2082d913df262964472ff3dac62ab2f5590c0b89d7b51883d6bcf1
    L5.main.w F16 128 × 64 × 3 3c103f01577dc1b3e1a68a22629dce53ca908ee82a8693146e8614c50f10aff2
    L5.main.b F32 128 c4207f01a04d3afe8c8f009aaa716b765c1478fe3371e92e7ee4d39ce0638d12
    L5.skip.w F16 128 × 64 × 1 b98659d328841b98154b0df05de53908e6ce66bd75f3ca12e9bbd2bb7a77e135
    L6 979c032a33505d1ada9b0b5be28c21b91dc1fc7b6b493d7d4121259037e139bd
    L6.main.w F16 128 × 64 × 3 bcbac4eb16ef09018008fd2fd1f937c750ac8ae80c8ee456b61a7ee84b75d84a
    L6.main.b F32 128 2985e8b25a4e602f1d294cc283b4c36933802a51073477d13b48e280acf855bc
    L6.skip.w F16 128 × 64 × 1 7eabc058575f1610af33118ad99aeef39ad985a774e4fe1bc8bbebfc9ce4625f
    L7 9673768d2ab84b3847236c3ec9fbb0af937e8e904ef13dbec1e7322921526714
    L7.main.w F16 128 × 64 × 3 085120f46abdf792c11a08c93d172e11fb6baceac13939b5bce7441b78b58caf
    L7.main.b F32 128 125474d6ea0cb49f4fc91fa2676f9af4d058c73892363b0100239f7a2cd49521
    L7.skip.w F16 128 × 64 × 1 5faadf23db52ee3231b4bd9f3728600b0eb616d3fbc1ba40800c28f4c0ffae0d
    L8 1ad1c36ae1814cda4ccae5c49e16d2810e5a722197fb7cf3ac171bf685f86a52
    L8.main.w F16 128 × 64 × 3 c2c918c5e8ce34194f4cfbe71366e4750920a764fa1c0e86fa08bba3509113e1
    L8.main.b F32 128 0568408bcae4459c6b83be59c55b377e9f930e01151a114eb3f881e1405ecff8
    L8.skip.w F16 128 × 64 × 1 d62d1d486b961aa4b35c22a54983b626660338183a75d29ebcad59ca86b3cc20
    post0 e35641b465cdee391ad3e89b57e60a26b9dd163a0798787491c6c33b4ec67784
    post0.w F16 128 × 128 × 1 7047cc725fa6e30d55dbc22b29892a75c69679f08bfd212755f96593e6869427
    post0.b F32 128 1ffab68644cfb8fc0ab1d8c35415b9436e186915386f5f3a6b30568ca6378b28
    out e7045d51e3a791c7a292e8fe9ef8b48d38f2920749d4433a1e3dac2298164b48
    out.w F16 40 × 128 × 1 b1ebd840f3ca9ba226a621cf91beb5f8e72f9b63eb9c4715ccdb99df793ef88b
    out.b F32 40 d19804596ec5becf2bba5a0bc6ccd86151cb847b8c5a388def5fdf0910e6f62a

    auxiliary pitch network · 129 → 192 → 140 · 8 layers · 30 tensors

    17434f9df33fe6500478c06b3e70be0451143851a71b7b00377d2861f0d65ac0
    Stage / tensorTypeShapeSHA-256
    pre 0a0df9ba243678acaea6452624d7152e11c44b09e7501243f0253905021316f8
    pre.w F16 192 × 129 × 1 8af1df7131261205aac7821b07c631eb4231ca5020c76884b27100087a3df587
    L0 81ffbfbe1c61fdb47fbcf84994130097b23bfaf15903f6e1a2a45ece237726e3
    L0.main.w F16 384 × 192 × 2 2d81885eeda11a090df7358a8743ca30e9ff7278185b466d0d283b6cc6fe90e0
    L0.cond.w F32 384 × 52 × 1 c236d6ccb5b20e7bcac8f0e03218db5979114d013b9c1ead9c3946992dde48ff
    L0.skip.w F16 192 × 192 × 1 edeb4200a8cf4f5bc3d8bb5ed20d26dad73031257afcebb786ea7a66395ba0f0
    L1 132a69334cbd9b17609989d29814e9b735f21c1132951c543de447373c4ddfae
    L1.main.w F16 384 × 192 × 2 a3433301f79855c72c5a5ccc7d585210adc7ad8b2abee0386e63f7a9202703c1
    L1.cond.w F32 384 × 52 × 1 0e3ea2a269bb6f89263d4fda17f3c7e838d6e4bbea1a3581588a1bc02e3df13f
    L1.skip.w F16 192 × 192 × 1 008cc90651811c87494b6631f377520d62705894b25799d3fb3f0f687079f311
    L2 309ba54478426a17927fae6d60b289828a00eaa795b011934ef2bca1befa6cbe
    L2.main.w F16 384 × 192 × 2 9fb9f78b33216cfd1ab567566413940b1161262b91e237b8650d9d1cc5dd5cc2
    L2.cond.w F32 384 × 52 × 1 e6ed5e051d66c292e5822c991d87027e2d34df30e39a5d7aab87e7ad00ad0d50
    L2.skip.w F16 192 × 192 × 1 8302f54df28c313aaae541c8e371bfd682e16d0554d6cd13f2782424062880af
    L3 d8b4dbc7882076ac9b5956e504b85e73a5d2c5d9bca60d1f3dadfd903823f27f
    L3.main.w F16 384 × 192 × 2 36da91dc6a7ebd9f407cc13d580340ff3afa808e5fb80395012788d8307eb546
    L3.cond.w F32 384 × 52 × 1 fb8e7ad14427c971dfd832db757bd203295804f8ac22f52ce8b688776e03eee7
    L3.skip.w F16 192 × 192 × 1 b7eead89e44009f8b65a9aec2ad55afd9255b173096f4d68afe469bde1d9481e
    L4 2b358a5bef13b32f775748eb8f9ad62116a3e72df74d261270a8116880587de2
    L4.main.w F16 384 × 192 × 2 b33b381b251e4e165cef1806713053afabf96b3c35048874a6d76a4ba3ca2f49
    L4.cond.w F32 384 × 52 × 1 169731ec4e630ce4fd535941b0090157e7d41c37ef1f755146125638f44e4838
    L4.skip.w F16 192 × 192 × 1 2346c63133f8461e2ba3e90ae295debe4d35ae6d517d899721fc5ccfb07366b7
    L5 4536cc742560a1a8af0daa4b05e23fd0293e94166d3f3ff756b91f0f4e574e7e
    L5.main.w F16 384 × 192 × 2 4bc334fa09aa0e5269f146b0d0158df661268a40a2997a2f5a9a557b90d8170b
    L5.cond.w F32 384 × 52 × 1 bb20d435c423aee3d3860c526c9cb7fb5a965a612dd95642b1f678adf81a98f0
    L5.skip.w F16 192 × 192 × 1 f5ab52d7bef14553644edb335b73fadeca4059ee7685603ef78894b18985ae4a
    L6 26592c98b2d3cf59a41edd59d7884742a4f105a1d39e02bad664a5d396d4107d
    L6.main.w F16 384 × 192 × 2 b73a198dd7731ffb3b797acc39dd19e5dc3631f4746e890caeb2796665a5e10d
    L6.cond.w F32 384 × 52 × 1 5dc826bab1ae37220b750926b41861285d085137855ddd323ae26708705f1a13
    L6.skip.w F16 192 × 192 × 1 86de968b2b51ee33a684578153add356cf4c5e205ed1757f3ccb770c34d4444e
    L7 d0f7d24a2dc27bab81533d2792b5b078dc9a459bc231db1ecb7a9e08ad371274
    L7.main.w F16 384 × 192 × 2 3bfea4d3ca8ff8aea30a92393c0ce91ecb5952c7c387e8d47935d5b4f1b3036c
    L7.cond.w F32 384 × 52 × 1 f30e5a3813b9b29a0320d7100e9fc33000a65bfae74ae856927581eafaedf04c
    L7.skip.w F16 192 × 192 × 1 49b9e339c31ab6f29dca618a2d28e4ee5122e97a21a18d7d357295b567b9c002
    skip_cond 3ca44fd38462d814820f7df7b8bc55c55272610aecefe913fa2a582491b65fae
    skip_cond.w F16 192 × 52 × 1 3a12979024ed761a7bafc4b58ff7babe1ea2bdcd137b7a1b1a783df223234114
    post0 ab75e7f43c331265cb2c9f4dec092b91f20a53b62cb0b3b0118420036278a969
    post0.w F16 192 × 192 × 1 83ca364193231dc9788fe41be292d52bfbd244962c512d0e266b9ba307a536b1
    post1 c94d04aceee5d781e07346a496f81c9fd849510882e76a85b645dd1527460929
    post1.w F16 192 × 192 × 1 db38489c4be3cb40c5528bc5d4521a921e0d25030bef1400f94ba37456f7238d
    out 2cce50371fe3e9c88711a70a43138bd065e2102dfd9d6a38c1ebf220db64a4e5
    out.w F16 140 × 192 × 1 e0e061afe4405e3ee0b64fbf775ede5ca7bd64e8f626ffb97c936679d46883c8
    embedding cab88e000c1a2ea8004e3098150e3c83db1264d0ca7f601bd99b0e1c1082aa2a
    embedding F32 72 × 16 9829341f1c5977b4ea3de6c9a4abfe1cbdde035b0f1ed738630a42305cdbb37f

    pitch context · 136 → 64 → 64 · 16 layers · 54 tensors

    0b1d986e6053fb4045dac69f5c1bdd48cc5df9195373785af9543dbc5ea4f374
    Stage / tensorTypeShapeSHA-256
    pre 20cacd5eabeca655e947fb6f6a5e2b72235a2812429aff8bef9fb2710c4bd842
    pre.w F16 64 × 136 × 1 6fbe4fe743ebd4ce9ceea3e9f829f6be30e5a66ee118a6fe003db06c29b65e2b
    pre.b F32 64 50126c8d198a3935c124e461d33d045f7807a41d534d643a95b8246f110d0fd9
    L0 ba94a834f0eed7131253f107b96c7b5f24871e92cbd84b57490ed2d78b908be1
    L0.main.w F16 128 × 64 × 3 9cbb1c12ac8d1cc2f02f73e8b34cfab7d310a40490eb3c4234ebb88630801cc8
    L0.main.b F32 128 3bfef9367c62fec53685db1636f78f39223152418e98ac3ea25d28c82015e707
    L0.skip.w F16 128 × 64 × 1 8cbe70221e8bccbad3c363d0da8b652028c56aae7f648ce4b469b25243cbee28
    L1 1a90a08b0f34637dcc59dc97272c926ea3fa5512f62803d1987d4b5f2892588b
    L1.main.w F16 128 × 64 × 3 72e072b5072c3fe0efe81527110427d9152a944c875f3b5955c01d2486eac16a
    L1.main.b F32 128 e1a916a8f73a284ef6f9e4ce301c4246977f124f54a2d49bbec272d322e815ed
    L1.skip.w F16 128 × 64 × 1 3f3a596b3f287f462e95873f3c24d860673021f7cf904a34e309f783a69ee3a8
    L2 d3032a0484331c92f581c640981baebc19b9f054009ef76e01ea41b370b1d924
    L2.main.w F16 128 × 64 × 3 891c86f3268193cdc11b30b59b3fc6ddf075728c31a3142dfb0068b542d4d155
    L2.main.b F32 128 43ec86c624f0c2eaef06ea785f197fdfce383d07b5dcf4a925a90c46c7974037
    L2.skip.w F16 128 × 64 × 1 7ae88748c2c1d2907950f3325670820d7fc6028b6521ba91ac1449d0b53be209
    L3 693c7765e46c58910a131692b31b358d6ecefa768582a01ce0f1a5adfce021cd
    L3.main.w F16 128 × 64 × 3 0a207040d4482406d2c165bccc19df243b5065ea9a968f565adb3d2c73410ed3
    L3.main.b F32 128 e38d353d43789f6a4bfde59b49bbce472bc4413b43a7a313ccdd9d7aca60d1cf
    L3.skip.w F16 128 × 64 × 1 90c745cc0377a7e754b4a3b3114f5e3566b7054ebf30a6fb55dd40c3df870488
    L4 c4e6ace24357d90f7fb2c37313d18adc72cb5159012f44b8fb57cbd69a5bb645
    L4.main.w F16 128 × 64 × 3 b811ad8a55703f0bf0f64a97937977edd8737f90b5c18da376baa876a9a2c8b1
    L4.main.b F32 128 33465ea2426f1dc652028bb161a8c42c1ce1ea3c0dd3bdfea7480cf005e4621a
    L4.skip.w F16 128 × 64 × 1 c58416497cd6f5e6d178ad153acb266e27839ff7a590f85ee113a83f3ea7f7d7
    L5 e70bd5d2b1010f33bd64debfcdae3b684cd669db9dc43c37c61fc71c4cbc77b4
    L5.main.w F16 128 × 64 × 3 ba0da51968d559466c6b96c7ca1c969fec0f31a9c028d2a7d55664667d0dd7a9
    L5.main.b F32 128 c92556625185ecf56b4838f937655725260c2cd7d5d530b651e17b3c4fbd6c4f
    L5.skip.w F16 128 × 64 × 1 b38a99a0fd764194de517159417cba77f60c428cf8ba702d621a3c78738f9c02
    L6 afa54ebd0f60e7d02016d6e786ae358a47c4d34c3bba292189fe65e45cc61f65
    L6.main.w F16 128 × 64 × 3 218ba77095a295ea77b1befec9682a3e5adbaded101e3609b1f236c3a342f2f8
    L6.main.b F32 128 9abf2396e37932db2ea7cb80c6aa3d0014d3b84bed5dbd16d335b26e96f9d258
    L6.skip.w F16 128 × 64 × 1 bc84d560f241d8bbe5ab08250e32ccccba8a8bc7aec6523d0e6a3d7cf42fbe25
    L7 532eb2bb3ebe916fb04c86d24e14980aa9b077814e744b580b3fcd0e5577501f
    L7.main.w F16 128 × 64 × 3 742f33c4d5541855decb51b6d1aa79af73aae383e2d51e04b6b3f048664c0ca5
    L7.main.b F32 128 3b9fa2cf2647f683f7e579672b80c80f32db0df615c9147a19dadb6bfed955e6
    L7.skip.w F16 128 × 64 × 1 5dc52a4a7421f19de2e6dd429623600af90159328aa473814c61feaca3157bfb
    L8 8ac3b7c86ca1d672fbd3c152739132d3238959d4655769139044aab8eddd7927
    L8.main.w F16 128 × 64 × 3 676ad2594eeebc9c907a2e1605db334f462eac7b6eb9070626774f38a4c0a15a
    L8.main.b F32 128 f0aa99a55c0cdd6558a8d240367544fad33e175606be262d29817459ac657cdf
    L8.skip.w F16 128 × 64 × 1 4cf3ca5a1bbac2f6a64aedaf9fdfd9eaaf852b8a10920c42c72c12c49ba2e639
    L9 42a102ba9f87d737a333aa26500f2b349aca025c9206afbd245b6af9f9b144bc
    L9.main.w F16 128 × 64 × 3 84b331766a8f955df20b7f61b59e3d00c779f37380a1b8f929985faffa9838da
    L9.main.b F32 128 ca6e4739b687d6e1b3657faf5ce35a95e560b6d4f9456b32a888dc4e1eb3fef7
    L9.skip.w F16 128 × 64 × 1 106ed37af09d94249e613f2f1c243b69588ea4e6ba14b86171adec3f05dd7203
    L10 3af8639dbcaa221696975032e0c3f7525cf2bd2d14f26011377f422f2a691193
    L10.main.w F16 128 × 64 × 3 2567bd9d60402dcdff69107cc78f2197ee8a99d440f6740f1523e341f062eadf
    L10.main.b F32 128 15400056317d20c83f8f8d2c6eaf3cc12070a576ae9a147ff1288aa74c1b304b
    L10.skip.w F16 128 × 64 × 1 6a916d84b519816eff059ed1c179a23697fc0b45cccb26583b63c7d568e0c6fa
    L11 f33f96d7777191a6267a0345b5c4c2a7cfbaa8971caf581896dfb0f2b20ee952
    L11.main.w F16 128 × 64 × 3 039013bc4822748d9dded4e9621d7adc125d72597c77ff61357cec800cef1569
    L11.main.b F32 128 bd57866a14a33e068452206829b7a66f43b069f4df0bf87e9b0310c833e57529
    L11.skip.w F16 128 × 64 × 1 c959dd0d430ff01c6f80b74ad309a9669a6168fc29522ebd2b98380bfaf7469a
    L12 f5957ee53074695d44805b4000a47162355c5d042596f8ccbcda6422eb58fa47
    L12.main.w F16 128 × 64 × 3 ed712ff266cca56a81a9efaef814c74bbb1924ec818646658079c63fc974e5be
    L12.main.b F32 128 c5d86dad0caa099a49b9230aed6966fc25f54c5daf44d2f2c3cb5948abfa06f4
    L12.skip.w F16 128 × 64 × 1 02d3951c60b0fa0e6a5b4d6af3b2bc06b2c77efb0ed70c4ad00495ec1d6e242e
    L13 86490559925ccf4d42c63d4edc1fc3c9b282a4cbba659d4e59a6adbd47bd9d4f
    L13.main.w F16 128 × 64 × 3 34d35db15e91feec6dbd3a081d088a0c339fbf0d25496651680ffa229eccffbc
    L13.main.b F32 128 a03d877f3aa033884879a19c246d863fa3502cd0cedbf4036af1056841606dfa
    L13.skip.w F16 128 × 64 × 1 d0b27a838527a21be47ed7874e9751438924b0ab1c8df8df34861fd4ba944d95
    L14 79a354d53a4b873e16d3d8217cf3e1a180f74ecbf9fc27bc6d20e689451bc848
    L14.main.w F16 128 × 64 × 3 43e6db97b36a9e3f7d51aabb1eaf9ad509304d96406f08a2aa4680d59b70bb1b
    L14.main.b F32 128 71faccffab2210625580751584f84b294429f46c37e201a425477e8271cb4263
    L14.skip.w F16 128 × 64 × 1 1f63f281e2745520d23b5dc0f7350e75c7dd3da22e7251c7f1335898649c8201
    L15 e4dd1f8eb64e6f2a18ea1c2b2168efb444b6966a5c9bdad45ad2085ec3bdcc81
    L15.main.w F16 128 × 64 × 3 0603d4a1194ae7bdfe6683dc6e7bba295a85c3f12b2f37bad6d89b139cf7df60
    L15.main.b F32 128 ce5aba3848ae022303e4f6edfbaf83f14d665d6bc0c37a4d9605c98dd476fff3
    L15.skip.w F16 128 × 64 × 1 828dbdd33f138ac3d99e1e1d01643e44569abfef52730023b5432d738d0a512b
    post0 3e1cae564104940f43da2551a1781ebac559fb0d50b6620f98b419e9afca08ac
    post0.w F16 128 × 128 × 1 6eb2650ead62a22a8b6c09266485fc5b2591a502644a31798e20ee82cabe9950
    post0.b F32 128 2ef44bb998c9505bf802f1fbb89b9620b85eacb5014c33f6224b6276e2de8bb2
    out 63edd621be7f3e82d22346ec651047c53b36684bb1e62e5e2719e40838ecf131
    out.w F16 64 × 128 × 1 fc0fb12b3b90f4d25d8bb5571cd36381e055aec17bcd14de3cceb8a308322ac1
    out.b F32 64 ee9573903edd677b3c99c7a2e29ad41d677ad7fc454b7ff5250593eb253b9a69

    pitch generator · 2 → 64 → 64 · 10 layers · 39 tensors

    6c4e9482e07f8bc4a197c499c4becdb53210c79c6bf9e1460033f07fb75c3de6
    Stage / tensorTypeShapeSHA-256
    pre 16ec72ec96bf9f23b9e74760f41385f5e5310d9592029f7bc42669217ea00962
    pre.w F16 64 × 2 × 1 742d01000c85a2db60ee4f50eaecdc3f26ebb2583b3190a5add488b67ddddc9f
    L0 ebcfe97a98bb28ba134e6dc6b1a5cccd0a23d449b9db3a1a47aa95cf9f9977c0
    L0.main.w F16 128 × 64 × 3 eb20298656d6c7ffdf7bfc06d623932e5d0a89994e07d76495177ccfe833c4db
    L0.cond.w F32 128 × 81 × 1 1940bf0039b87783fc3ff4018317360547d87085ae6da4c6bba5401ad61f56a2
    L0.skip.w F16 128 × 64 × 1 48f54b64806da4e9f4f35a4c96ec6d362c9fd30ec1545afccf1ce057f0beaf78
    L1 8365087c6acb852dae0d4a9018e01c7b15f62fec4a7aaf095538c91c74a6f13d
    L1.main.w F16 128 × 64 × 3 198a6427ee95f0912a15ed26e68e3b75b335ff1f5151111545a9114f21289cd4
    L1.cond.w F32 128 × 81 × 1 d076c62e34342854669a1b16ce9362d47b95ce3df5f60f6fab014026beb273f6
    L1.skip.w F16 128 × 64 × 1 208b498d99ca1648b754917cdb8ce0aa62259ef888afee0260308c8e5c4e94b6
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    embedding edd6ec13dfe1fd09998cb60e25f9cb28900f37c3df1dd037c3a12655308d65f3
    embedding F32 226 × 16 cb738da70025676900391c66b17fd1d0710da7fb5cce2f575b6c033950f7c474

    Tensors outside the networks · 8 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 62a66afd2218962f3ef52cc9ae42bfff20b340146c3b6b48e6eb0d5c01ce55a8
    tensor 3 F32 129 df93627a4f946013c5b8949f3ad9245c252fa1b3a5d9cf2fc57925eec4c9a5ec
    tensor 4 F32 129 5884e5de7968178d0a76343551be7e9c6a0cf72e0cf63a8027ea474dd6757000
    tensor 5 F32 1,600 0efec7e54502895f51da1a9f31be5d18f4f602a2bf18d26e6e8bd0a6d4bc4737
    tensor 6 F32 50 b933480257e9f7feb9e1ffcaebed83dfd522662426c7d20494668987224990f8
    tensor 7 F32 400 12cfff05233d62001801b9ba733155d046304dbaec5072e31c080407bf4eef4a
    tensor 8 F32 8 33646a2ceac8b6057ed7c5fa3303779ad4a79043e7e196fa41d4f041b2fa4bdc
  • VOCALOID6.vpit VOCALOID 6 shared pitch model · VOCALOID6 Editor 6.13.3 · 10,192,290 bytes · container version 3 file 14422fefd4e85f9cf933817144547a52964d1d0ac1f24dc4092471a71880e14a all tensors (197) c23e75da60ccd0b3fbc989218b4a7f8144f7789ac54f4e1d37f7345402750fb9
    Network, stage and tensor hashes

    pitch encoder · 415 → 64 → 40 · 9 layers · 33 tensors

    678a4db590e8c656d1846fd9d27cb97f40e73a2466ffa9539b9046303d9dfbb8
    Stage / tensorTypeShapeSHA-256
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    pre.b F32 64 d72d38f1ba130f7ea348f2f823a397c0333770f552bb148fb05fb1bd3b1011c5
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    phonetic encoder B · 84 → 64 → 40 · 9 layers · 33 tensors

    d5c33c2b858d99a374d4cde5a029786ff2288660c7e57afce85f9f795e971d52
    Stage / tensorTypeShapeSHA-256
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    auxiliary pitch network · 129 → 192 → 140 · 8 layers · 30 tensors

    17434f9df33fe6500478c06b3e70be0451143851a71b7b00377d2861f0d65ac0
    Stage / tensorTypeShapeSHA-256
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    pre.w F16 192 × 129 × 1 8af1df7131261205aac7821b07c631eb4231ca5020c76884b27100087a3df587
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    L1 132a69334cbd9b17609989d29814e9b735f21c1132951c543de447373c4ddfae
    L1.main.w F16 384 × 192 × 2 a3433301f79855c72c5a5ccc7d585210adc7ad8b2abee0386e63f7a9202703c1
    L1.cond.w F32 384 × 52 × 1 0e3ea2a269bb6f89263d4fda17f3c7e838d6e4bbea1a3581588a1bc02e3df13f
    L1.skip.w F16 192 × 192 × 1 008cc90651811c87494b6631f377520d62705894b25799d3fb3f0f687079f311
    L2 309ba54478426a17927fae6d60b289828a00eaa795b011934ef2bca1befa6cbe
    L2.main.w F16 384 × 192 × 2 9fb9f78b33216cfd1ab567566413940b1161262b91e237b8650d9d1cc5dd5cc2
    L2.cond.w F32 384 × 52 × 1 e6ed5e051d66c292e5822c991d87027e2d34df30e39a5d7aab87e7ad00ad0d50
    L2.skip.w F16 192 × 192 × 1 8302f54df28c313aaae541c8e371bfd682e16d0554d6cd13f2782424062880af
    L3 d8b4dbc7882076ac9b5956e504b85e73a5d2c5d9bca60d1f3dadfd903823f27f
    L3.main.w F16 384 × 192 × 2 36da91dc6a7ebd9f407cc13d580340ff3afa808e5fb80395012788d8307eb546
    L3.cond.w F32 384 × 52 × 1 fb8e7ad14427c971dfd832db757bd203295804f8ac22f52ce8b688776e03eee7
    L3.skip.w F16 192 × 192 × 1 b7eead89e44009f8b65a9aec2ad55afd9255b173096f4d68afe469bde1d9481e
    L4 2b358a5bef13b32f775748eb8f9ad62116a3e72df74d261270a8116880587de2
    L4.main.w F16 384 × 192 × 2 b33b381b251e4e165cef1806713053afabf96b3c35048874a6d76a4ba3ca2f49
    L4.cond.w F32 384 × 52 × 1 169731ec4e630ce4fd535941b0090157e7d41c37ef1f755146125638f44e4838
    L4.skip.w F16 192 × 192 × 1 2346c63133f8461e2ba3e90ae295debe4d35ae6d517d899721fc5ccfb07366b7
    L5 4536cc742560a1a8af0daa4b05e23fd0293e94166d3f3ff756b91f0f4e574e7e
    L5.main.w F16 384 × 192 × 2 4bc334fa09aa0e5269f146b0d0158df661268a40a2997a2f5a9a557b90d8170b
    L5.cond.w F32 384 × 52 × 1 bb20d435c423aee3d3860c526c9cb7fb5a965a612dd95642b1f678adf81a98f0
    L5.skip.w F16 192 × 192 × 1 f5ab52d7bef14553644edb335b73fadeca4059ee7685603ef78894b18985ae4a
    L6 26592c98b2d3cf59a41edd59d7884742a4f105a1d39e02bad664a5d396d4107d
    L6.main.w F16 384 × 192 × 2 b73a198dd7731ffb3b797acc39dd19e5dc3631f4746e890caeb2796665a5e10d
    L6.cond.w F32 384 × 52 × 1 5dc826bab1ae37220b750926b41861285d085137855ddd323ae26708705f1a13
    L6.skip.w F16 192 × 192 × 1 86de968b2b51ee33a684578153add356cf4c5e205ed1757f3ccb770c34d4444e
    L7 d0f7d24a2dc27bab81533d2792b5b078dc9a459bc231db1ecb7a9e08ad371274
    L7.main.w F16 384 × 192 × 2 3bfea4d3ca8ff8aea30a92393c0ce91ecb5952c7c387e8d47935d5b4f1b3036c
    L7.cond.w F32 384 × 52 × 1 f30e5a3813b9b29a0320d7100e9fc33000a65bfae74ae856927581eafaedf04c
    L7.skip.w F16 192 × 192 × 1 49b9e339c31ab6f29dca618a2d28e4ee5122e97a21a18d7d357295b567b9c002
    skip_cond 3ca44fd38462d814820f7df7b8bc55c55272610aecefe913fa2a582491b65fae
    skip_cond.w F16 192 × 52 × 1 3a12979024ed761a7bafc4b58ff7babe1ea2bdcd137b7a1b1a783df223234114
    post0 ab75e7f43c331265cb2c9f4dec092b91f20a53b62cb0b3b0118420036278a969
    post0.w F16 192 × 192 × 1 83ca364193231dc9788fe41be292d52bfbd244962c512d0e266b9ba307a536b1
    post1 c94d04aceee5d781e07346a496f81c9fd849510882e76a85b645dd1527460929
    post1.w F16 192 × 192 × 1 db38489c4be3cb40c5528bc5d4521a921e0d25030bef1400f94ba37456f7238d
    out 2cce50371fe3e9c88711a70a43138bd065e2102dfd9d6a38c1ebf220db64a4e5
    out.w F16 140 × 192 × 1 e0e061afe4405e3ee0b64fbf775ede5ca7bd64e8f626ffb97c936679d46883c8
    embedding cab88e000c1a2ea8004e3098150e3c83db1264d0ca7f601bd99b0e1c1082aa2a
    embedding F32 72 × 16 9829341f1c5977b4ea3de6c9a4abfe1cbdde035b0f1ed738630a42305cdbb37f

    pitch context · 136 → 64 → 64 · 16 layers · 54 tensors

    1d7b3230f064726f6a17642f6603cd410ed39642461de517769314b7a8cf21d4
    Stage / tensorTypeShapeSHA-256
    pre e6606fa064277667ae3a482b5b1a5609ce01e8f868dce8c7ee931128a891e0ce
    pre.w F16 64 × 136 × 1 95bb703a660ddd68494b4fb32b60805fdbeacd6070ad0c29c2efe17063aedd91
    pre.b F32 64 319bf7e80695004587d69924ea3a77730ec626ca63b176d1b5d6380adf226cbb
    L0 60ef8e9ef94a86d7d86de119e4d33a7b0ced284150fb6dfae059a7e69d56639f
    L0.main.w F16 128 × 64 × 3 eda77015f70fec16a1f1fcf1d8c4482c98efde4da205b215f290a9a031ae0c64
    L0.main.b F32 128 a20880f06985219eca344917d87e4c7f3da30bc75dcfad4c6329f058f5b040ff
    L0.skip.w F16 128 × 64 × 1 232a315de395c91f22bdbea71dacad62db94cf8d337d8df5cb6ad96166276342
    L1 bd2d6cf3e69cd3fa79762b450d7367b5fa742b6f97a1907a6d3794ceae4f1555
    L1.main.w F16 128 × 64 × 3 165ee3c73b48c0a55a84c2e1f88c7a0c73c3e4042904bd8c4197b8ad3dfa3683
    L1.main.b F32 128 1b2f66becb502c5972042eabea6a381784319857d2544d074c43b2ccac6e3b67
    L1.skip.w F16 128 × 64 × 1 5f1653a39cf1ca0549a2510a963857c088b53545dfba7ab0a817aaa55cd9ece9
    L2 63b1ba14f71a10fc8f5c763779fb124d56abfe57ebbf259a1a2701c238a19e99
    L2.main.w F16 128 × 64 × 3 45f73cf8aca873c256ac57ba19d25a3b7649fa54839c3d6b87d04e5d6a2bbea8
    L2.main.b F32 128 3f2de7dc9c75f154846cb2ea4b4e944edaabbc4d3562e115e1f2e3f5e59d29bc
    L2.skip.w F16 128 × 64 × 1 a95359e34ca7f571f32a2d7273fb8ed605053f13f2489c219983bca986789187
    L3 544985187c6c0324d689b584997ad795102d8714d6f432ca61f2b0400a5dcc14
    L3.main.w F16 128 × 64 × 3 6606438c89631b86ff711c1cf438e2e9b961767874cae2232d16c743935dfe50
    L3.main.b F32 128 9382754b1859db115c84963150d89bff028f5a6e56742d422519a8f61bf70bd6
    L3.skip.w F16 128 × 64 × 1 da1e9612c20e830df2f266ba37334058f62bce73c52a57cd0252a9dcbdc4d16b
    L4 9c2bb40a3d02c83f84dff6ee889864ca5a2c3ca13b8082c5db140dcadfbe3abc
    L4.main.w F16 128 × 64 × 3 06efcf762ac7c3fd5fe03fa526d836702bad2819eb23da3d048da706445614c8
    L4.main.b F32 128 0aef3222bbbf2b2dcfb1000f5373ab3c0f6c123db2660e61336576839b6a04ab
    L4.skip.w F16 128 × 64 × 1 290a3046ea7dac319bd0d24649f7893fd5bbcbfa80bb01669a09728bc84cf2a4
    L5 f884734f1bd137ebcb3825cb4a5d989c3ba5afaf45f01f8da509159e3136151d
    L5.main.w F16 128 × 64 × 3 85583a9734c376e2b6c0f2d5f2e096fb0e3d7d26210b9611bf20bcfba44d01ff
    L5.main.b F32 128 9196ac4f9aedc34fc81a1abaaddd009dfd95f6d7e9fb5d74b5cf746061dfeb96
    L5.skip.w F16 128 × 64 × 1 83d9e71712a05fd69df5ce3dac1cdeea0c8ac670496dc3356eaf6fb8f0f626ad
    L6 3ed02daaf5851b8dd3c225e2bdd7e1bca09330f8776149955f0c9f978c7d9e04
    L6.main.w F16 128 × 64 × 3 4df0c34e71639ab21e6f36a7149cc674c6e296c07139a82e048bbec1905cd575
    L6.main.b F32 128 0230848c5412360e2f44ef63849a6050e3970a034cb21a524d827fd5e850dd5a
    L6.skip.w F16 128 × 64 × 1 ab2510f6e269f2d36e5f02cc20c50f622eff2accecb19f11df782a214fe18684
    L7 1c512db8c231baa9a2a18384d4f0bfd187615bc0843d5e3e6065354e2e4c427f
    L7.main.w F16 128 × 64 × 3 bae7425372f9eab55b275b14b16f21570b488d3e6cbe68ceb25b825fd5a1e289
    L7.main.b F32 128 6bfe24c2dc658e0a1cb47070cd10abe3e122bb660e892b71cb6f0bea50ac5cb2
    L7.skip.w F16 128 × 64 × 1 4f2a82300dbe016eea479cfd5efc8de4cc313071062bb84b046326a74e90949e
    L8 1a78b59bf9344c43619b3eaffd846214762f9070db1a91f3af7e382da3b31912
    L8.main.w F16 128 × 64 × 3 15417a0435bfcb2313ba9029c6b07ae6dafca096a4e60c8cf05c2c971ea7670f
    L8.main.b F32 128 42a81d90dd0b5d777090bc5edac519d652c37f97b503d6117bee8ecb6354158b
    L8.skip.w F16 128 × 64 × 1 3aab9cba413cb3644f3e31236c0890c9a93d4e969a721598aadb46bf103f0922
    L9 f69ad81174ff9a1baeb59b03355ead098f4d9284b7daba6837685856b3f73407
    L9.main.w F16 128 × 64 × 3 f493bb2b5e556c05a9d9f45c494f94b06aadcec0dc6f27298a767babd97300eb
    L9.main.b F32 128 d9619655d8eb21f63b4b77a5aa744136ff6db121ac344c92b7927c5b41fc9ee7
    L9.skip.w F16 128 × 64 × 1 44ea45e49745be944a5bf2976945886fdb6e6cb7935d96857931ce420c3b45e9
    L10 7fe9ea1d402a8f84cf3dd6e3bbd295e87ea9fa7906a5b6c13746318e42124d03
    L10.main.w F16 128 × 64 × 3 b105483e50cbc01f4d59d01c2d63d58a1f393d89eadb280a46c907f7670a0212
    L10.main.b F32 128 12a3bd8c3cf8d6a4461ab2e28d5eea3895babcf1a887ffcf33fab38f367c7eab
    L10.skip.w F16 128 × 64 × 1 9edb17b4d34809ab79796a11499e7b8f6e159d91f295e96f66fe746220a91445
    L11 db7c389e5467876de10fe04ca07172b8cc95036b1fbdc0d6c6c83a3b7593d13f
    L11.main.w F16 128 × 64 × 3 04ed0a93a707609a31b4dd55c954a858d493a7cb7ed8d064f754e9ab91fc6264
    L11.main.b F32 128 065b6f1c667f3b12f8455e56c3697cd7672e90d0f263ffa2dcd5183978b865cd
    L11.skip.w F16 128 × 64 × 1 448469d4f738102233359df3c98b0d1a35f5986476ac2a543354491ace8a0471
    L12 a6d97c4afab4105a3038497e41cbf40db243ff8fa240f9052240029c4a531a4e
    L12.main.w F16 128 × 64 × 3 72ddc64c36a3dcc39f67a30c78fec7a8125b778543ab123d2a98b747fc9bee95
    L12.main.b F32 128 69fa54d05d74b5b3c799ffeb7e148895ed008b82d886a8abdce5cd98b5503d7e
    L12.skip.w F16 128 × 64 × 1 a75c5cba266884825cdc9d56f96a99deafc8fcb03c01f7192137df466a1d3b2b
    L13 83825c5c97647fe787ca8c4f79bd60de7543bed9fc9527780cc4060740d33836
    L13.main.w F16 128 × 64 × 3 fccf1e21f6306bd670bee4feeeab3816d7c045c862e4ea78c9782acd83308a3e
    L13.main.b F32 128 c6935b41fce739e58edf181491f8ca3a96347c1a425d050f965536f3771f52c5
    L13.skip.w F16 128 × 64 × 1 8c514622b9f4ca622b23153f5e166e2fafed8cbf18884a12a199f8c8858274ee
    L14 5b04822269a29a77b36795d34b24a19eab3350a5523148890ae3747f1d4c0f42
    L14.main.w F16 128 × 64 × 3 6e4115ea3bedbaaed4c5a68b9a3f4f0119d50e92c0fe635a29911bae2c4213f1
    L14.main.b F32 128 6c90ba04f9ea35a7149a12ec4f389b231169b819efe2e0472d92b5ee167b5a20
    L14.skip.w F16 128 × 64 × 1 f68810a754a5ae690c76442b5c685c4191aef3ff942073d1b6160a04915ed254
    L15 19981983368943704c0f9aa194de2fe69dec71c722c8d47ad1882f15630cee73
    L15.main.w F16 128 × 64 × 3 87fa93afb39c3e759e816da823e539128f1fa8573188c0cd6bacb846670238e5
    L15.main.b F32 128 35737944effa6807128f486d8fe79ce9279eb6cfa491310ecfc287618d8c368b
    L15.skip.w F16 128 × 64 × 1 a1824c5c24ce736446556c7ba0a0b8ac786795659a947597b3c04b61bf19fa3b
    post0 6b27e6621aadcce5dd45202f977886b3768c183c6b11ad3d3510c7334b1dee3b
    post0.w F16 128 × 128 × 1 27c924436f15922d079fdd3ad5e7ae6a09f034e9c22f38ee56cec6d243fd29d2
    post0.b F32 128 b79304882575a31ce7ce8e91362041fa38b16d6183edeb4fc18921ba66f063a4
    out c65bf13f5c5be14a2b58daeb38ccf22e870043669877e59a72ce7bf51a0e5484
    out.w F16 64 × 128 × 1 54a639ca061166c712749458af42e2eb2c95ca270462cf8124962bda90fd5578
    out.b F32 64 3efb352857497aec8b4630c0e889828e1ecca88ddca41a54858b6189536375a7

    pitch generator · 2 → 64 → 64 · 10 layers · 39 tensors

    baea8d66d8facc68e433b1fd32287f4604df09a0a8a130ba6209dc9347ae0489
    Stage / tensorTypeShapeSHA-256
    pre e93b5a546e7300262420172696932c27e59c6923536e6d82f53f933eb7808da9
    pre.w F16 64 × 2 × 1 06f413cb182d3dc04f25217815b468138ca14a45c37b56a19d808184ba65f2c6
    L0 afbd03688a6ebe9a732f7f306bed65ccf983cc1d3b79043c40fa212209fc0815
    L0.main.w F16 128 × 64 × 3 461db11c06bd60c1084d8c216011611316ea976a70405ec622fc70817b743376
    L0.cond.w F32 128 × 81 × 1 7d17b5047703f84e35cfe62555aa5083eb3723e6ec22c4247c2f8be7b4902d8f
    L0.skip.w F16 128 × 64 × 1 6311eebf3a8cf466d41a3d56dc2e8704029102a11c46bc8ec3fe73c789346b2c
    L1 9643ab978d5f8a73cfb20bbb2a3f08a009d99f06e9eae084ac5e63423d576452
    L1.main.w F16 128 × 64 × 3 f099f281ba0ba5ef44ed64f33fa644ac3a9b7fa70dfe6cccc3420f1b6349669e
    L1.cond.w F32 128 × 81 × 1 493277b5a18d049d962bcdba7ffbc224d8dd497943d64ad5bb67e2ed4f45cbea
    L1.skip.w F16 128 × 64 × 1 4a0e0a30d41c7ed90ad64b123cd1748bb680277f809c8a93dceb17315a7b3ae5
    L2 c5441712c35c64c4eac02356e319964a29c5b47199c7c5d4f3ea4ab3bf31e244
    L2.main.w F16 128 × 64 × 3 ecb5c95dab2c0cb01138134a9bbf6b1444fd7b2af179aaa285b488c5f18b52e5
    L2.cond.w F32 128 × 81 × 1 d2a50d5e5b595365034ae00a8a7bd8d303de65a2b9c7c479c2dfc61bfb2beab1
    L2.skip.w F16 128 × 64 × 1 86d84467bb744301cbb105419e03842bca786914314d254c4be0c6db3c852920
    L3 089c94922192ab9d8bcbc9c19bf5d042f0b192a43547734d2a6febf0ac7c31fe
    L3.main.w F16 128 × 64 × 3 fb1299909b1b00bc6f9f5989f082ee674c3948edf1b90003bc601af48f21a440
    L3.cond.w F32 128 × 81 × 1 0a92783a5eb5656c6453b7460d6a7f2aab9de0ac59f2f2cc6c3bb3c055069b1f
    L3.skip.w F16 128 × 64 × 1 daab7664c754fe10a331979e727df3f3b5b405583ba83f8adabf18564fbb5f68
    L4 15eeb2ac8ce98e9c5161ca651d90f8d6c4cc5c74aaf8e53004b3cc7ccf183d00
    L4.main.w F16 128 × 64 × 3 fc5675ecee12f29cd04f9fb5f041329cca2f13e492c2de3312fa301179b8ab7a
    L4.cond.w F32 128 × 81 × 1 cadbd1d2894449a755af1f7c7eaa8aa10234fbf741b0d8f529c301e415eed724
    L4.skip.w F16 128 × 64 × 1 2aac011b703d1f5144e7a19221541ed1c5f9b5a22006a720f00dc85abd1ef1ac
    L5 51f0ea1c1c47d8e6ec184bb187f4e7dc1063e09a98b5c20a613cbcf2b8c80a24
    L5.main.w F16 128 × 64 × 3 356be01a7d9539237b8fd6b8cafa2fb43f1c8d1b764c7af3c281a45117bd534d
    L5.cond.w F32 128 × 81 × 1 5e8e1dc1e367c5f71eb8003e549200caf8a77eb24295005dd1ed605ebe58eca4
    L5.skip.w F16 128 × 64 × 1 5371cd9de1bf53ed6172a55438b679647d6a5860fa5e6e08c82d7941929e028f
    L6 ae4cd68bcf0872c32c69f9a222dc33395c11160c1ac897782a93eaa4c417b2f6
    L6.main.w F16 128 × 64 × 3 328edffc12dff4c551fd16dc76918057e4acc2ac0c187327f413c75c539d6887
    L6.cond.w F32 128 × 81 × 1 a50f707e5b58f6a91b068c04dccb2e42ac38473decd086ce31d0368cd8e0672b
    L6.skip.w F16 128 × 64 × 1 b44184c90353441bcd7e87ee4af498f63130c7a4f069dd39bc49194733b0812f
    L7 09eda2c4367140b0ce8e089f480d1cbc1e0b0ea6c9a6db99cdc2de2a9e747372
    L7.main.w F16 128 × 64 × 3 9e9274dbe81194e9e9faf33d9c8059f58bba812459866976ff3ad82fd2e1dbef
    L7.cond.w F32 128 × 81 × 1 ab672332eea22ab1440f5ee4b6b0a9a53fc399e3ca50f53485c4d281fc4d448c
    L7.skip.w F16 128 × 64 × 1 cee140baa3e3fb3344eb5c4ac63ac0af3ee7b554462728654a1d7a478f0635f5
    L8 b1d5e54ecae5d7ba669ac492d34e8d912b7d65da177f0e69f807662fe2a41f98
    L8.main.w F16 128 × 64 × 3 2e983bd6cf85535989af9187d653e798bd38650350bdfec3e601422912962c6f
    L8.cond.w F32 128 × 81 × 1 6c8e891ca1e58b41a9dc8ded18531549be7f7abb589372ea0c884c86ffc440ac
    L8.skip.w F16 128 × 64 × 1 1792ca5e30c81a2e40890b9bacdbc8c3437230bf32af4ae3252fa15d4bcc4a2f
    L9 09bfd3afb564f72aa2a456e34faea4838896a82fd358743619d2a571214d18f1
    L9.main.w F16 128 × 64 × 3 d384269cff1e28e28f951801fbe10ab2e80e6ae11be5c65502f9b3587c1aa6c2
    L9.cond.w F32 128 × 81 × 1 dd36ae42d1f9adc5ae7dfea29e24eafb2e69ac8241cc2159df53d8ab6ccebfdd
    L9.skip.w F16 128 × 64 × 1 d03f6fbcfe41ddf0099a5c83aaf4925da89b4d98c8c33eca9d8639902e244bd0
    skip_cond fc6645dfed1826ff09f34e92e2fc765c6d691d7cbbb4151144e14a6030971645
    skip_cond.w F16 128 × 81 × 1 a1819e4da9f633f41a550428b608d1f9091ce12a8c956e24e6f1080e3773bb8b
    post0 f302d3326df4a73c6c30252828c4ed060ca6c991748ceed23db9a7d3fffea7fb
    post0.w F16 128 × 128 × 1 e6aea428640e32907e99870da9956f7cf5f277e52ebd57ae9b9ed671fa60300d
    post1 892329c08287bcf12908423b79e009e573d65a2e013c3e194e13727795be749b
    post1.w F16 128 × 128 × 1 4437e038e03f2e7790612e24eef09ec4a5f38afa6301a82644bd92b0a1193291
    post2 e30ac0ea16c0e57ba1a28ec4f4bea8e78ed6119a61634a0e3f66d32668bca4b8
    post2.w F16 128 × 128 × 1 8ac1217df9832eb92a1be6ce5bd66b5d99a4aea7e23924877d97612eb83a05d6
    post3 d3ab9ef3243a8cf83f1b006db1d8be2cba8aefe06a031b5f92b645c59457ef99
    post3.w F16 128 × 128 × 1 8d65d526e08520b1d2fa80071ada5193d6d37e5c810623153cbf7b0a76dcf503
    post4 b5f3b0dd673cc3c4eff157a145b3ca2491d7b884f2be8e93e726643ef9118b1b
    post4.w F16 128 × 128 × 1 a22a4b520d84f7f035c79e244c39373cc6ea9352d43d63da53a93354555f57bd
    out 16bc0fe924f5fa5e8f73f56a391804a9aba14af3cfabf60fa3234cfa2405f546
    out.w F16 64 × 128 × 1 7c5212ffaad80c8b3905470bfdbdc44d1c26b4c96acaaab5f4c4a417ee9f3c03
    embedding 02248c7e3dc90d171d17847f57840dd14eeba97af3338c512d0c7294b2192375
    embedding F32 105 × 16 2c298ccdaf09927614703e8df6c9db811c8229f06c68849e301055a95c81f3c2

    Tensors outside the networks · 8 tensors

    Stage / tensorTypeShapeSHA-256
    tensor 1 F32 80 4038953d36e902149c0f940268a53bc6e0a139368548ac40b1c466ea6b6990cc
    tensor 2 F32 80 62a66afd2218962f3ef52cc9ae42bfff20b340146c3b6b48e6eb0d5c01ce55a8
    tensor 3 F32 129 df93627a4f946013c5b8949f3ad9245c252fa1b3a5d9cf2fc57925eec4c9a5ec
    tensor 4 F32 129 5884e5de7968178d0a76343551be7e9c6a0cf72e0cf63a8027ea474dd6757000
    tensor 5 F32 1,600 50654bb9b77a5e1830caf12890bc732cade83ad50e2d5717e153fda113115d7e
    tensor 6 F32 50 a605fddab7eb14d8f6c174acc5844e295eca13dab72a02842e03133c6dee3cce
    tensor 7 F32 400 7d008bdd8d11abb4a4f70c7fedc2c8f4426a69288220a7df283286c1c7d643e7
    tensor 8 F32 8 d9314b9731d9b9e3ff0ba8bc4fab1f66e3791cfb5f12ecaa2746bb5aa305e264