Hugging Face's logo

Datasets:
samuelt0207
/
q-vdit-quant-output

Dataset card Files
xet
 Community
q-vdit-quant-output
File size: 101,946 Bytes
fffc2b2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
01/27/2026 20:01:27 - INFO - __main__ - Conducting Command: t2v/scripts/calib_wan_i2v.py --model_path Wan-AI/Wan2.2-I2V-A14B-Diffusers --calib_data calib_data_wan_i2v/ --calib_config t2v/configs/quant/wan/W4A4_i2v_nvfp4.yaml --outdir quant_output/ --transformer 1
01/27/2026 20:01:27 - INFO - __main__ - Loading calibration data from calib_data_wan_i2v/...
01/27/2026 20:01:27 - INFO - __main__ - Transformer mode: 1
01/27/2026 20:02:01 - INFO - __main__ - T2 calib data: 74 timesteps
01/27/2026 20:02:01 - INFO - __main__ - Skipping transformer_1 (--transformer=2)
01/27/2026 20:02:01 - I01/27/2026 20:02:05 - INFO - __main__ - Selected 10 steps from 26 available
01/2701/27/2026 20:02:35 - INFO - __main__ - Selected 10 steps from 74 available
01/27/2026 20:02:35 - INFO - __main__ - 
============================================================
01/27/2026 20:02:35 - INFO - __main__ - Calibrating Transformer 2
01/27/2026 20:02:35 - INFO - __main__ - ============================================================
01/27/2026 20:02:35 - INFO - qdiff.models.quant_model - 
 --------------- refactoring quant layers --------------- 

01/27/2026 20:02:38 - INFO - qdiff.models.quant_model - Set skip_lora_during_calib=True for all QuantLayers
01/27/2026 20:02:38 - INFO - __main__ - T2 Calibration data shapes:
01/27/2026 20:02:38 - INFO - __main__ -   xs: torch.Size([60, 36, 21, 90, 160])
01/27/2026 20:02:38 - INFO - __main__ -   ts: torch.Size([60])
01/27/2026 20:02:38 - INFO - __main__ -   conds: torch.Size([60, 512, 4096])
01/27/2026 20:02:38 - INFO - __main__ - T2: Calculating activation statistics for smooth quantization...
01/27/2026 20:02:38 - INFO - __main__ - T2: Smooth quant timeranges: [[0, 1000]]
01/27/2026 20:02:38 - INFO - __main__ - T2: Calibration timestep coverage by timeran01/27/2026 20:21:22 - INFO - __main__ - T1: Smooth quant act_scale initialized in01/27/2026 20:21:51 - INFO - __main__ - T2: Smooth quant act_scale initialized in 86/86 layers
01/27/2026 20:21:51 - INFO - __main__ - T2: Timerange 0: All layers have valid act_scale01/27/2026 20:22:01 - INFO - __main__ - T1: Weight initialization done!
01/27/20201/27/2026 20:22:30 - INFO - __main__ - T2: Weight initialization done!
01/27/2026 20:22:30 - INFO - __main__ - T2: Weight delta initialized in 406/86 layers
01/27/2026 20:22:30 - INFO - __main__ - T2: Initializing activation quantization...
01/27/2026 20:22:30 - INFO - __main__ - T2: Using dynamic quantization
01/27/2026 20:22:30 - INFO - __main__ - T2: Activation initialization done!
01/27/2026 20:22:30 - INFO - __main__ - T2: Initializing TQE frame weights (M)...
01/27/2026 20:22:30 - INFO - __main__ - T2: Detected 21 frames for TQE M initialization
01/27/2026 20:22:30 - INFO - __main__ - T2: Found 320 layers for TQE M initialization
01/27/2026 20:22:30 - INFO - __main__ - T2: Layer filter: attention
01/201/27/2026 20:25:06 - INFO - __main__ - T1: Processing layer batch 2/7 (layers 5001/2701/27/2026 20:28:16 - INFO - __main__ - T1: Processing layer batch 3/7 (layers 1001/27/201/27/2026 20:31:22 - INFO - __main__ - T1: Processing layer batch 4/7 (layers 1501/27/201/27/2026 20:34:34 - INFO - __main__ - T1: Processing layer batch 5/7 (layers 2001/27/201/27/2026 20:37:40 - INFO - __main__ - T1: Processing layer batch 6/7 (layers 2501/27/201/27/2026 20:40:46 - INFO - __main__ - T1: Processing layer batch 7/7 (layers 3001/27/201/27/2026 20:42:46 - INFO - __main__ - T1: TQE M initialization complete! Initia01/27/2026 20:43:02 - INFO - __main__ - T2: TQE M initialization complete! Initialized 240 layers
01/27/2026 20:43:02 - INFO - qdiff.models.quant_model - Set skip_lora_during_calib=False for all QuantLayers
01/27/2026 20:43:02 - INFO - __main__ - T2: Starting Q-VDiT optimization phase...
01/27/2026 20:43:02 - INFO - __main__ -   Weight optimization: True
01/27/2026 20:43:02 - INFO - __main__ -   Activation optimization: False
01/27/2026 20:43:03 - INFO - __main__ - T2: Optimizing weight params: ['delta']
01/27/2026 20:43:03 - INFO - __main__ - T2: Running 1000 optimization iterations...
01/27/2026 20:43:03 - INFO - __main__ - T2: Loss type: relation
01/27/2026 20:43:03 - INFO - qdiff.optimization.model_recon - WAN per-block reconstruction: 40 blocks
01/27/2026 20:43:03 - INFO - qdiff.optimization.model_recon - This approach processes one block at a time to avoid OOM
01/27/2026 20:43:03 - INFO - qdiff.optimization.model_recon - Processing WAN block 0/39
01/27/2026 20:43:03 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/27/2026 20:43:03 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 0...
01/27/2026 20:43:17 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/27/2026 20:43:17 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/27/2026 20:43:17 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.57GB
01/27/2026 20:4301/27/2026 20:45:09 - INFO - qdiff.optimization.model_recon -   Block 0 iter 50/101/27/2026 20:45:01/27/2026 20:47:16 - INFO - qdiff.optimization.model_recon -   Block 0 iter 100/01/27/2026 20:47:301/27/2026 20:49:23 - INFO - qdiff.optimization.model_recon -   Block 0 iter 150/01/27/2026 20:49:301/27/2026 20:51:29 - INFO - qdiff.optimization.model_recon -   Block 0 iter 200/01/27/2026 20:51:401/27/2026 20:53:33 - INFO - qdiff.optimization.model_recon -   Block 0 iter 250/01/27/2026 20:53:501/27/2026 20:55:37 - INFO - qdiff.optimization.model_recon -   Block 0 iter 300/01/27/2026 20:55:501/27/2026 20:57:45 - INFO - qdiff.optimization.model_recon -   Block 0 iter 350/01/27/2026 20:58:001/27/2026 20:59:49 - INFO - qdiff.optimization.model_recon -   Block 0 iter 400/01/27/2026 21:00:001/27/2026 21:01:54 - INFO - qdiff.optimization.model_recon -   Block 0 iter 450/01/27/2026 21:02:101/27/2026 21:03:57 - INFO - qdiff.optimization.model_recon -   Block 0 iter 500/01/27/2026 21:04:201/27/2026 21:06:00 - INFO - qdiff.optimization.model_recon -   Block 0 iter 550/01/27/2026 21:06:201/27/2026 21:08:02 - INFO - qdiff.optimization.model_recon -   Block 0 iter 600/01/27/2026 21:08:301/27/2026 21:10:05 - INFO - qdiff.optimization.model_recon -   Block 0 iter 650/01/27/2026 21:10:401/27/2026 21:12:07 - INFO - qdiff.optimization.model_recon -   Block 0 iter 700/01/27/2026 21:12:401/27/2026 21:14:09 - INFO - qdiff.optimization.model_recon -   Block 0 iter 750/01/27/2026 21:14:401/27/2026 21:16:09 - INFO - qdiff.optimization.model_recon -   Block 0 iter 800/01/27/2026 21:16:501/27/2026 21:18:10 - INFO - qdiff.optimization.model_recon -   Block 0 iter 850/01/27/2026 21:18:501/27/2026 21:20:13 - INFO - qdiff.optimization.model_recon -   Block 0 iter 900/01/27/2026 21:20:501/27/2026 21:22:14 - INFO - qdiff.optimization.model_recon -   Block 0 iter 950/01/27/2026 21:22:501/27/2026 21:24:14 - INFO - qdiff.optimization.model_recon -   Block 0 optimizat01/27/2026 21:25:00 - INFO - qdiff.optimization.model_recon -   Block 0 optimization complete
01/27/2026 21:25:00 - INFO - qdiff.optimization.model_recon - Processing WAN block 1/39
01/27/2026 21:25:00 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/27/2026 21:25:00 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 1...
01/27/2026 21:25:18 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/27/2026 21:25:18 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/27/2026 21:25:19 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.62GB
01/27/2026 21:2501/27/2026 21:26:38 - INFO - qdiff.optimization.model_recon -   Block 1 iter 50/101/27/2026 21:27:01/27/2026 21:28:44 - INFO - qdiff.optimization.model_recon -   Block 1 iter 100/01/27/2026 21:29:301/27/2026 21:30:51 - INFO - qdiff.optimization.model_recon -   Block 1 iter 150/01/27/2026 21:31:301/27/2026 21:32:58 - INFO - qdiff.optimization.model_recon -   Block 1 iter 200/01/27/2026 21:33:401/27/2026 21:35:09 - INFO - qdiff.optimization.model_recon -   Block 1 iter 250/01/27/2026 21:35:501/27/2026 21:37:21 - INFO - qdiff.optimization.model_recon -   Block 1 iter 300/01/27/2026 21:38:001/27/2026 21:39:25 - INFO - qdiff.optimization.model_recon -   Block 1 iter 350/01/27/2026 21:40:101/27/2026 21:41:29 - INFO - qdiff.optimization.model_recon -   Block 1 iter 400/01/27/2026 21:42:101/27/2026 21:43:31 - INFO - qdiff.optimization.model_recon -   Block 1 iter 450/01/27/2026 21:44:201/27/2026 21:45:34 - INFO - qdiff.optimization.model_recon -   Block 1 iter 500/01/27/2026 21:46:201/27/2026 21:47:40 - INFO - qdiff.optimization.model_recon -   Block 1 iter 550/01/27/2026 21:48:201/27/2026 21:49:45 - INFO - qdiff.optimization.model_recon -   Block 1 iter 600/01/27/2026 21:50:301/27/2026 21:51:52 - INFO - qdiff.optimization.model_recon -   Block 1 iter 650/01/27/2026 21:52:301/27/2026 21:53:59 - INFO - qdiff.optimization.model_recon -   Block 1 iter 700/01/27/2026 21:54:401/27/2026 21:56:06 - INFO - qdiff.optimization.model_recon -   Block 1 iter 750/01/27/2026 21:56:401/27/2026 21:58:11 - INFO - qdiff.optimization.model_recon -   Block 1 iter 800/01/27/2026 21:58:501/27/2026 22:00:10 - INFO - qdiff.optimization.model_recon -   Block 1 iter 850/01/27/2026 22:00:501/27/2026 22:02:08 - INFO - qdiff.optimization.model_recon -   Block 1 iter 900/01/27/2026 22:02:501/27/2026 22:04:12 - INFO - qdiff.optimization.model_recon -   Block 1 iter 950/01/27/2026 22:05:001/27/2026 22:06:15 - INFO - qdiff.optimization.model_recon -   Block 1 optimizat01/27/2026 22:07:03 - INFO - qdiff.optimization.model_recon -   Block 1 optimization complete
01/27/2026 22:07:03 - INFO - qdiff.optimization.model_recon - Processing WAN block 2/39
01/27/2026 22:07:03 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/27/2026 22:07:03 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 2...
01/27/2026 22:07:24 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/27/2026 22:07:24 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/27/2026 22:07:24 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.64GB
01/27/2026 22:0701/27/2026 22:08:42 - INFO - qdiff.optimization.model_recon -   Block 2 iter 50/101/27/2026 22:09:01/27/2026 22:10:49 - INFO - qdiff.optimization.model_recon -   Block 2 iter 100/01/27/2026 22:11:301/27/2026 22:12:54 - INFO - qdiff.optimization.model_recon -   Block 2 iter 150/01/27/2026 22:13:301/27/2026 22:14:56 - INFO - qdiff.optimization.model_recon -   Block 2 iter 200/01/27/2026 22:15:401/27/2026 22:16:59 - INFO - qdiff.optimization.model_recon -   Block 2 iter 250/01/27/2026 22:17:401/27/2026 22:18:58 - INFO - qdiff.optimization.model_recon -   Block 2 iter 300/01/27/2026 22:19:401/27/2026 22:20:58 - INFO - qdiff.optimization.model_recon -   Block 2 iter 350/01/27/2026 22:21:401/27/2026 22:22:59 - INFO - qdiff.optimization.model_recon -   Block 2 iter 400/01/27/2026 22:23:401/27/2026 22:25:01 - INFO - qdiff.optimization.model_recon -   Block 2 iter 450/01/27/2026 22:25:401/27/2026 22:27:04 - INFO - qdiff.optimization.model_recon -   Block 2 iter 500/01/27/2026 22:27:401/27/2026 22:29:07 - INFO - qdiff.optimization.model_recon -   Block 2 iter 550/01/27/2026 22:29:401/27/2026 22:31:08 - INFO - qdiff.optimization.model_recon -   Block 2 iter 600/01/27/2026 22:31:401/27/2026 22:33:06 - INFO - qdiff.optimization.model_recon -   Block 2 iter 650/01/27/2026 22:33:401/27/2026 22:35:08 - INFO - qdiff.optimization.model_recon -   Block 2 iter 700/01/27/2026 22:35:401/27/2026 22:37:11 - INFO - qdiff.optimization.model_recon -   Block 2 iter 750/01/27/2026 22:37:401/27/2026 22:39:12 - INFO - qdiff.optimization.model_recon -   Block 2 iter 800/01/27/2026 22:39:401/27/2026 22:41:14 - INFO - qdiff.optimization.model_recon -   Block 2 iter 850/01/27/2026 22:41:401/27/2026 22:43:13 - INFO - qdiff.optimization.model_recon -   Block 2 iter 900/01/27/2026 22:43:401/27/2026 22:45:16 - INFO - qdiff.optimization.model_recon -   Block 2 iter 950/01/27/2026 22:45:401/27/2026 22:47:12 - INFO - qdiff.optimization.model_recon -   Block 2 optimizat01/27/2026 22:47:45 - INFO - qdiff.optimization.model_recon -   Block 2 optimization complete
01/27/2026 22:47:45 - INFO - qdiff.optimization.model_recon - Processing WAN block 3/39
01/27/2026 22:47:45 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/27/2026 22:47:45 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 3...
01/27/2026 22:48:11 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/27/2026 22:48:11 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/27/2026 22:48:11 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.65GB
01/27/2026 22:4801/27/2026 22:49:40 - INFO - qdiff.optimization.model_recon -   Block 3 iter 50/101/27/2026 22:50:01/27/2026 22:51:40 - INFO - qdiff.optimization.model_recon -   Block 3 iter 100/01/27/2026 22:52:101/27/2026 22:53:40 - INFO - qdiff.optimization.model_recon -   Block 3 iter 150/01/27/2026 22:54:101/27/2026 22:55:42 - INFO - qdiff.optimization.model_recon -   Block 3 iter 200/01/27/2026 22:56:101/27/2026 22:57:44 - INFO - qdiff.optimization.model_recon -   Block 3 iter 250/01/27/2026 22:58:101/27/2026 22:59:43 - INFO - qdiff.optimization.model_recon -   Block 3 iter 300/01/27/2026 23:00:101/27/2026 23:01:42 - INFO - qdiff.optimization.model_recon -   Block 3 iter 350/01/27/2026 23:02:101/27/2026 23:03:41 - INFO - qdiff.optimization.model_recon -   Block 3 iter 400/01/27/2026 23:04:001/27/2026 23:05:39 - INFO - qdiff.optimization.model_recon -   Block 3 iter 450/01/27/2026 23:06:001/27/2026 23:07:39 - INFO - qdiff.optimization.model_recon -   Block 3 iter 500/01/27/2026 23:08:001/27/2026 23:09:38 - INFO - qdiff.optimization.model_recon -   Block 3 iter 550/01/27/2026 23:10:001/27/2026 23:11:37 - INFO - qdiff.optimization.model_recon -   Block 3 iter 600/01/27/2026 23:12:001/27/2026 23:13:38 - INFO - qdiff.optimization.model_recon -   Block 3 iter 650/01/27/2026 23:14:001/27/2026 23:15:39 - INFO - qdiff.optimization.model_recon -   Block 3 iter 700/01/27/2026 23:16:001/27/2026 23:17:37 - INFO - qdiff.optimization.model_recon -   Block 3 iter 750/01/27/2026 23:18:001/27/2026 23:19:37 - INFO - qdiff.optimization.model_recon -   Block 3 iter 800/01/27/2026 23:19:501/27/2026 23:21:37 - INFO - qdiff.optimization.model_recon -   Block 3 iter 850/01/27/2026 23:21:501/27/2026 23:23:36 - INFO - qdiff.optimization.model_recon -   Block 3 iter 900/01/27/2026 23:23:501/27/2026 23:25:36 - INFO - qdiff.optimization.model_recon -   Block 3 iter 950/01/27/2026 23:25:501/27/2026 23:27:33 - INFO - qdiff.optimization.model_recon -   Block 3 optimizat01/27/2026 23:27:52 - INFO - qdiff.optimization.model_recon -   Block 3 optimization complete
01/27/2026 23:27:52 - INFO - qdiff.optimization.model_recon - Processing WAN block 4/39
01/27/2026 23:27:52 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/27/2026 23:27:52 - IN01/27/2026 23:28:02 - INFO - qdiff.optimization.model_recon -   Block input shape01/27/2026 23:28:22 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/27/2026 23:28:22 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/27/2026 23:28:22 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.67GB
01/27/2026 23:2801/27/2026 23:30:05 - INFO - qdiff.optimization.model_recon -   Block 4 iter 50/101/27/2026 23:30:01/27/2026 23:32:03 - INFO - qdiff.optimization.model_recon -   Block 4 iter 100/01/27/2026 23:32:101/27/2026 23:34:02 - INFO - qdiff.optimization.model_recon -   Block 4 iter 150/01/27/2026 23:34:101/27/2026 23:36:02 - INFO - qdiff.optimization.model_recon -   Block 4 iter 200/01/27/2026 23:36:101/27/2026 23:37:59 - INFO - qdiff.optimization.model_recon -   Block 4 iter 250/01/27/2026 23:38:101/27/2026 23:39:58 - INFO - qdiff.optimization.model_recon -   Block 4 iter 300/01/27/2026 23:40:001/27/2026 23:41:57 - INFO - qdiff.optimization.model_recon -   Block 4 iter 350/01/27/2026 23:42:001/27/2026 23:43:54 - INFO - qdiff.optimization.model_recon -   Block 4 iter 400/01/27/2026 23:44:001/27/2026 23:45:52 - INFO - qdiff.optimization.model_recon -   Block 4 iter 450/01/27/2026 23:45:501/27/2026 23:47:48 - INFO - qdiff.optimization.model_recon -   Block 4 iter 500/01/27/2026 23:47:501/27/2026 23:49:48 - INFO - qdiff.optimization.model_recon -   Block 4 iter 550/01/27/2026 23:49:501/27/2026 23:51:49 - INFO - qdiff.optimization.model_recon -   Block 4 iter 600/01/27/2026 23:51:501/27/2026 23:53:50 - INFO - qdiff.optimization.model_recon -   Block 4 iter 650/01/27/2026 23:53:501/27/2026 23:55:50 - INFO - qdiff.optimization.model_recon -   Block 4 iter 700/01/27/2026 23:55:501/27/2026 23:57:50 - INFO - qdiff.optimization.model_recon -   Block 4 iter 750/1000: GPU 27.71GB
01/27/2026 23:59:48 - INFO - qdiff.optimization.model_recon -   Block 4 iter 800/1000: GPU 27.71GB
01/28/2026 00:01:47 - INFO - qdiff.optimization.model_recon -   Block 4 iter 850/1000: GPU 27.71GB
01/28/2026 00:03:46 - INFO - qdiff.optimization.model_recon -   Block 4 iter 900/1000: GPU 27.71GB
01/28/2026 00:05:49 - INFO - qdiff.optimization.model_recon -   Block 4 iter 950/1000: GPU 27.71GB
01/28/2026 00:07:48 - INFO - qdiff.optimization.model_recon -   Block 4 optimization complete
01/28/2026 00:07:48 - INFO - qdiff.optimization.model_recon - Processing WAN block 5/39
01/28/2026 00:07:48 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 00:07:48 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 5...
01/28/2026 00:08:23 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 00:08:23 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 00:08:23 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.68GB
01/28/2026 00:08:25 - INFO - qdiff.optimization.model_recon -   Block 5 iter 0/1000: GPU 27.73GB
01/28/2026 00:10:20 - INFO - qdiff.optimization.model_recon -   Block 5 iter 50/1000: GPU 27.73GB
01/28/2026 00:12:18 - INFO - qdiff.optimization.model_recon -   Block 5 iter 100/1000: GPU 27.73GB
01/28/2026 00:14:17 - INFO - qdiff.optimization.model_recon -   Block 5 iter 150/1000: GPU 27.73GB
01/28/2026 00:16:14 - INFO - qdiff.optimization.model_recon -   Block 5 iter 200/1000: GPU 27.73GB
01/28/2026 00:18:10 - INFO - qdiff.optimization.model_recon -   Block 5 iter 250/1000: GPU 27.73GB
01/28/2026 00:20:07 - INFO - qdiff.optimization.model_recon -   Block 5 iter 300/1000: GPU 27.73GB
01/28/2026 00:22:03 - INFO - qdiff.optimization.model_recon -   Block 5 iter 350/1000: GPU 27.73GB
01/28/2026 00:24:00 - INFO - qdiff.optimization.model_recon -   Block 5 iter 400/1000: GPU 27.73GB
01/28/2026 00:25:55 - INFO - qdiff.optimization.model_recon -   Block 5 iter 450/1000: GPU 27.73GB
01/28/2026 00:27:51 - INFO - qdiff.optimization.model_recon -   Block 5 iter 500/1000: GPU 27.73GB
01/28/2026 00:29:46 - INFO - qdiff.optimization.model_recon -   Block 5 iter 550/1000: GPU 27.73GB
01/28/2026 00:31:44 - INFO - qdiff.optimization.model_recon -   Block 5 iter 600/1000: GPU 27.73GB
01/28/2026 00:33:42 - INFO - qdiff.optimization.model_recon -   Block 5 iter 650/1000: GPU 27.73GB
01/28/2026 00:35:41 - INFO - qdiff.optimization.model_recon -   Block 5 iter 700/1000: GPU 27.73GB
01/28/2026 00:37:38 - INFO - qdiff.optimization.model_recon -   Block 5 iter 750/1000: GPU 27.73GB
01/28/2026 00:39:35 - INFO - qdiff.optimization.model_recon -   Block 5 iter 800/1000: GPU 27.73GB
01/28/2026 00:41:35 - INFO - qdiff.optimization.model_recon -   Block 5 iter 850/1000: GPU 27.73GB
01/28/2026 00:43:31 - INFO - qdiff.optimization.model_recon -   Block 5 iter 900/1000: GPU 27.73GB
01/28/2026 00:45:28 - INFO - qdiff.optimization.model_recon -   Block 5 iter 950/1000: GPU 27.73GB
01/28/2026 00:47:25 - INFO - qdiff.optimization.model_recon -   Block 5 optimization complete
01/28/2026 00:47:25 - INFO - qdiff.optimization.model_recon - Processing WAN block 6/39
01/28/2026 00:47:25 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 00:47:25 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 6...
01/28/2026 00:48:02 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 00:48:02 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 00:48:02 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.70GB
01/28/2026 00:48:04 - INFO - qdiff.optimization.model_recon -   Block 6 iter 0/1000: GPU 27.74GB
01/28/2026 00:50:01 - INFO - qdiff.optimization.model_recon -   Block 6 iter 50/1000: GPU 27.74GB
01/28/2026 00:51:59 - INFO - qdiff.optimization.model_recon -   Block 6 iter 100/1000: GPU 27.74GB
01/28/2026 00:53:56 - INFO - qdiff.optimization.model_recon -   Block 6 iter 150/1000: GPU 27.74GB
01/28/2026 00:55:52 - INFO - qdiff.optimization.model_recon -   Block 6 iter 200/1000: GPU 27.74GB
01/28/2026 00:57:47 - INFO - qdiff.optimization.model_recon -   Block 6 iter 250/1000: GPU 27.74GB
01/28/2026 00:59:43 - INFO - qdiff.optimization.model_recon -   Block 6 iter 300/1000: GPU 27.74GB
01/28/2026 01:01:38 - INFO - qdiff.optimization.model_recon -   Block 6 iter 350/1000: GPU 27.74GB
01/28/2026 01:03:35 - INFO - qdiff.optimization.model_recon -   Block 6 iter 400/1000: GPU 27.74GB
01/28/2026 01:05:32 - INFO - qdiff.optimization.model_recon -   Block 6 iter 450/1000: GPU 27.74GB
01/28/2026 01:07:32 - INFO - qdiff.optimization.model_recon -   Block 6 iter 500/1000: GPU 27.74GB
01/28/2026 01:09:29 - INFO - qdiff.optimization.model_recon -   Block 6 iter 550/1000: GPU 27.74GB
01/28/2026 01:11:26 - INFO - qdiff.optimization.model_recon -   Block 6 iter 600/1000: GPU 27.74GB
01/28/2026 01:13:20 - INFO - qdiff.optimization.model_recon -   Block 6 iter 650/1000: GPU 27.74GB
01/28/2026 01:15:13 - INFO - qdiff.optimization.model_recon -   Block 6 iter 700/1000: GPU 27.74GB
01/28/2026 01:17:13 - INFO - qdiff.optimization.model_recon -   Block 6 iter 750/1000: GPU 27.74GB
01/28/2026 01:19:07 - INFO - qdiff.optimization.model_recon -   Block 6 iter 800/1000: GPU 27.74GB
01/28/2026 01:21:05 - INFO - qdiff.optimization.model_recon -   Block 6 iter 850/1000: GPU 27.74GB
01/28/2026 01:23:02 - INFO - qdiff.optimization.model_recon -   Block 6 iter 900/1000: GPU 27.74GB
01/28/2026 01:25:04 - INFO - qdiff.optimization.model_recon -   Block 6 iter 950/1000: GPU 27.74GB
01/28/2026 01:27:00 - INFO - qdiff.optimization.model_recon -   Block 6 optimization complete
01/28/2026 01:27:00 - INFO - qdiff.optimization.model_recon - Processing WAN block 7/39
01/28/2026 01:27:00 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 01:27:00 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 7...
01/28/2026 01:27:42 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 01:27:42 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 01:27:43 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.71GB
01/28/2026 01:27:46 - INFO - qdiff.optimization.model_recon -   Block 7 iter 0/1000: GPU 27.76GB
01/28/2026 01:29:41 - INFO - qdiff.optimization.model_recon -   Block 7 iter 50/1000: GPU 27.76GB
01/28/2026 01:31:39 - INFO - qdiff.optimization.model_recon -   Block 7 iter 100/1000: GPU 27.76GB
01/28/2026 01:33:33 - INFO - qdiff.optimization.model_recon -   Block 7 iter 150/1000: GPU 27.76GB
01/28/2026 01:35:30 - INFO - qdiff.optimization.model_recon -   Block 7 iter 200/1000: GPU 27.76GB
01/28/2026 01:37:25 - INFO - qdiff.optimization.model_recon -   Block 7 iter 250/1000: GPU 27.76GB
01/28/2026 01:39:21 - INFO - qdiff.optimization.model_recon -   Block 7 iter 300/1000: GPU 27.76GB
01/28/2026 01:41:16 - INFO - qdiff.optimization.model_recon -   Block 7 iter 350/1000: GPU 27.76GB
01/28/2026 01:43:15 - INFO - qdiff.optimization.model_recon -   Block 7 iter 400/1000: GPU 27.76GB
01/28/2026 01:45:13 - INFO - qdiff.optimization.model_recon -   Block 7 iter 450/1000: GPU 27.76GB
01/28/2026 01:47:08 - INFO - qdiff.optimization.model_recon -   Block 7 iter 500/1000: GPU 27.76GB
01/28/2026 01:49:04 - INFO - qdiff.optimization.model_recon -   Block 7 iter 550/1000: GPU 27.76GB
01/28/2026 01:51:00 - INFO - qdiff.optimization.model_recon -   Block 7 iter 600/1000: GPU 27.76GB
01/28/2026 01:52:58 - INFO - qdiff.optimization.model_recon -   Block 7 iter 650/1000: GPU 27.76GB
01/28/2026 01:54:54 - INFO - qdiff.optimization.model_recon -   Block 7 iter 700/1000: GPU 27.76GB
01/28/2026 01:56:48 - INFO - qdiff.optimization.model_recon -   Block 7 iter 750/1000: GPU 27.76GB
01/28/2026 01:58:44 - INFO - qdiff.optimization.model_recon -   Block 7 iter 800/1000: GPU 27.76GB
01/28/2026 02:00:43 - INFO - qdiff.optimization.model_recon -   Block 7 iter 850/1000: GPU 27.76GB
01/28/2026 02:02:42 - INFO - qdiff.optimization.model_recon -   Block 7 iter 900/1000: GPU 27.76GB
01/28/2026 02:04:40 - INFO - qdiff.optimization.model_recon -   Block 7 iter 950/1000: GPU 27.76GB
01/28/2026 02:06:33 - INFO - qdiff.optimization.model_recon -   Block 7 optimization complete
01/28/2026 02:06:33 - INFO - qdiff.optimization.model_recon - Processing WAN block 8/39
01/28/2026 02:06:33 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 02:06:33 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 8...
01/28/2026 02:07:19 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 02:07:19 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 02:07:19 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.73GB
01/28/2026 02:07:21 - INFO - qdiff.optimization.model_recon -   Block 8 iter 0/1000: GPU 27.77GB
01/28/2026 02:09:16 - INFO - qdiff.optimization.model_recon -   Block 8 iter 50/1000: GPU 27.77GB
01/28/2026 02:11:11 - INFO - qdiff.optimization.model_recon -   Block 8 iter 100/1000: GPU 27.77GB
01/28/2026 02:13:05 - INFO - qdiff.optimization.model_recon -   Block 8 iter 150/1000: GPU 27.77GB
01/28/2026 02:14:58 - INFO - qdiff.optimization.model_recon -   Block 8 iter 200/1000: GPU 27.77GB
01/28/2026 02:16:52 - INFO - qdiff.optimization.model_recon -   Block 8 iter 250/1000: GPU 27.77GB
01/28/2026 02:18:45 - INFO - qdiff.optimization.model_recon -   Block 8 iter 300/1000: GPU 27.77GB
01/28/2026 02:20:39 - INFO - qdiff.optimization.model_recon -   Block 8 iter 350/1000: GPU 27.77GB
01/28/2026 02:22:32 - INFO - qdiff.optimization.model_recon -   Block 8 iter 400/1000: GPU 27.77GB
01/28/2026 02:24:27 - INFO - qdiff.optimization.model_recon -   Block 8 iter 450/1000: GPU 27.77GB
01/28/2026 02:26:21 - INFO - qdiff.optimization.model_recon -   Block 8 iter 500/1000: GPU 27.77GB
01/28/2026 02:28:17 - INFO - qdiff.optimization.model_recon -   Block 8 iter 550/1000: GPU 27.77GB
01/28/2026 02:30:12 - INFO - qdiff.optimization.model_recon -   Block 8 iter 600/1000: GPU 27.77GB
01/28/2026 02:32:06 - INFO - qdiff.optimization.model_recon -   Block 8 iter 650/1000: GPU 27.77GB
01/28/2026 02:34:03 - INFO - qdiff.optimization.model_recon -   Block 8 iter 700/1000: GPU 27.77GB
01/28/2026 02:35:58 - INFO - qdiff.optimization.model_recon -   Block 8 iter 750/1000: GPU 27.77GB
01/28/2026 02:37:52 - INFO - qdiff.optimization.model_recon -   Block 8 iter 800/1000: GPU 27.77GB
01/28/2026 02:39:46 - INFO - qdiff.optimization.model_recon -   Block 8 iter 850/1000: GPU 27.77GB
01/28/2026 02:41:42 - INFO - qdiff.optimization.model_recon -   Block 8 iter 900/1000: GPU 27.77GB
01/28/2026 02:43:36 - INFO - qdiff.optimization.model_recon -   Block 8 iter 950/1000: GPU 27.77GB
01/28/2026 02:45:29 - INFO - qdiff.optimization.model_recon -   Block 8 optimization complete
01/28/2026 02:45:29 - INFO - qdiff.optimization.model_recon - Processing WAN block 9/39
01/28/2026 02:45:29 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 02:45:29 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 9...
01/28/2026 02:46:18 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 02:46:18 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 02:46:19 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.74GB
01/28/2026 02:46:21 - INFO - qdiff.optimization.model_recon -   Block 9 iter 0/1000: GPU 27.79GB
01/28/2026 02:48:14 - INFO - qdiff.optimization.model_recon -   Block 9 iter 50/1000: GPU 27.79GB
01/28/2026 02:50:06 - INFO - qdiff.optimization.model_recon -   Block 9 iter 100/1000: GPU 27.79GB
01/28/2026 02:51:58 - INFO - qdiff.optimization.model_recon -   Block 9 iter 150/1000: GPU 27.79GB
01/28/2026 02:53:51 - INFO - qdiff.optimization.model_recon -   Block 9 iter 200/1000: GPU 27.79GB
01/28/2026 02:55:42 - INFO - qdiff.optimization.model_recon -   Block 9 iter 250/1000: GPU 27.79GB
01/28/2026 02:57:33 - INFO - qdiff.optimization.model_recon -   Block 9 iter 300/1000: GPU 27.79GB
01/28/2026 02:59:26 - INFO - qdiff.optimization.model_recon -   Block 9 iter 350/1000: GPU 27.79GB
01/28/2026 03:01:20 - INFO - qdiff.optimization.model_recon -   Block 9 iter 400/1000: GPU 27.79GB
01/28/2026 03:03:13 - INFO - qdiff.optimization.model_recon -   Block 9 iter 450/1000: GPU 27.79GB
01/28/2026 03:05:07 - INFO - qdiff.optimization.model_recon -   Block 9 iter 500/1000: GPU 27.79GB
01/28/2026 03:07:01 - INFO - qdiff.optimization.model_recon -   Block 9 iter 550/1000: GPU 27.79GB
01/28/2026 03:08:55 - INFO - qdiff.optimization.model_recon -   Block 9 iter 600/1000: GPU 27.79GB
01/28/2026 03:10:48 - INFO - qdiff.optimization.model_recon -   Block 9 iter 650/1000: GPU 27.79GB
01/28/2026 03:12:40 - INFO - qdiff.optimization.model_recon -   Block 9 iter 700/1000: GPU 27.79GB
01/28/2026 03:14:31 - INFO - qdiff.optimization.model_recon -   Block 9 iter 750/1000: GPU 27.79GB
01/28/2026 03:16:22 - INFO - qdiff.optimization.model_recon -   Block 9 iter 800/1000: GPU 27.79GB
01/28/2026 03:18:12 - INFO - qdiff.optimization.model_recon -   Block 9 iter 850/1000: GPU 27.79GB
01/28/2026 03:20:05 - INFO - qdiff.optimization.model_recon -   Block 9 iter 900/1000: GPU 27.79GB
01/28/2026 03:21:59 - INFO - qdiff.optimization.model_recon -   Block 9 iter 950/1000: GPU 27.79GB
01/28/2026 03:23:51 - INFO - qdiff.optimization.model_recon -   Block 9 optimization complete
01/28/2026 03:23:51 - INFO - qdiff.optimization.model_recon - Completed 10/40 blocks
01/28/2026 03:23:51 - INFO - qdiff.optimization.model_recon - Processing WAN block 10/39
01/28/2026 03:23:51 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 03:23:51 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 10...
01/28/2026 03:24:44 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 03:24:44 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 03:24:45 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.76GB
01/28/2026 03:24:47 - INFO - qdiff.optimization.model_recon -   Block 10 iter 0/1000: GPU 27.80GB
01/28/2026 03:26:42 - INFO - qdiff.optimization.model_recon -   Block 10 iter 50/1000: GPU 27.80GB
01/28/2026 03:28:33 - INFO - qdiff.optimization.model_recon -   Block 10 iter 100/1000: GPU 27.80GB
01/28/2026 03:30:25 - INFO - qdiff.optimization.model_recon -   Block 10 iter 150/1000: GPU 27.80GB
01/28/2026 03:32:18 - INFO - qdiff.optimization.model_recon -   Block 10 iter 200/1000: GPU 27.80GB
01/28/2026 03:34:12 - INFO - qdiff.optimization.model_recon -   Block 10 iter 250/1000: GPU 27.80GB
01/28/2026 03:36:04 - INFO - qdiff.optimization.model_recon -   Block 10 iter 300/1000: GPU 27.80GB
01/28/2026 03:37:55 - INFO - qdiff.optimization.model_recon -   Block 10 iter 350/1000: GPU 27.80GB
01/28/2026 03:39:47 - INFO - qdiff.optimization.model_recon -   Block 10 iter 400/1000: GPU 27.80GB
01/28/2026 03:41:40 - INFO - qdiff.optimization.model_recon -   Block 10 iter 450/1000: GPU 27.80GB
01/28/2026 03:43:33 - INFO - qdiff.optimization.model_recon -   Block 10 iter 500/1000: GPU 27.80GB
01/28/2026 03:45:27 - INFO - qdiff.optimization.model_recon -   Block 10 iter 550/1000: GPU 27.80GB
01/28/2026 03:47:21 - INFO - qdiff.optimization.model_recon -   Block 10 iter 60001/28/2026 03:47:2201/28/2026 03:49:16 - INFO - qdiff.optimization.model_recon -   Block 10 iter 65001/28/2026 03:49:1801/28/2026 03:51:09 - INFO - qdiff.optimization.model_recon -   Block 10 iter 70001/28/2026 03:51:1401/28/2026 03:53:01 - INFO - qdiff.optimization.model_recon -   Block 10 iter 75001/28/2026 03:53:0601/28/2026 03:54:51 - INFO - qdiff.optimization.model_recon -   Block 10 iter 80001/28/2026 03:54:5801/28/2026 03:56:41 - INFO - qdiff.optimization.model_recon -   Block 10 iter 85001/28/2026 03:56:5001/28/2026 03:58:31 - INFO - qdiff.optimization.model_recon -   Block 10 iter 90001/28/2026 03:58:4201/28/2026 04:00:23 - INFO - qdiff.optimization.model_recon -   Block 10 iter 95001/28/2026 04:00:3601/28/2026 04:02:14 - INFO - qdiff.optimization.model_recon -   Block 10 optimiza01/28/2026 04:02:29 - INFO - qdiff.optimization.model_recon -   Block 10 optimization complete
01/28/2026 04:02:29 - INFO - qdiff.optimization.model_recon - Processing WAN block 11/39
01/28/2026 04:02:29 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 04:02:29 - INF01/28/2026 04:03:12 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 04:03:27 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 04:03:27 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 04:03:28 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.77GB
01/28/2026 04:03:01/28/2026 04:05:09 - INFO - qdiff.optimization.model_recon -   Block 11 iter 50/01/28/2026 04:05:201/28/2026 04:07:01 - INFO - qdiff.optimization.model_recon -   Block 11 iter 10001/28/2026 04:07:2001/28/2026 04:08:53 - INFO - qdiff.optimization.model_recon -   Block 11 iter 15001/28/2026 04:09:1601/28/2026 04:10:46 - INFO - qdiff.optimization.model_recon -   Block 11 iter 20001/28/2026 04:11:1001/28/2026 04:12:37 - INFO - qdiff.optimization.model_recon -   Block 11 iter 25001/28/2026 04:13:0401/28/2026 04:14:30 - INFO - qdiff.optimization.model_recon -   Block 11 iter 30001/28/2026 04:14:5701/28/2026 04:16:20 - INFO - qdiff.optimization.model_recon -   Block 11 iter 35001/28/2026 04:16:5001/28/2026 04:18:12 - INFO - qdiff.optimization.model_recon -   Block 11 iter 40001/28/2026 04:18:4701/28/2026 04:20:05 - INFO - qdiff.optimization.model_recon -   Block 11 iter 45001/28/2026 04:20:4201/28/2026 04:21:57 - INFO - qdiff.optimization.model_recon -   Block 11 iter 50001/28/2026 04:22:3701/28/2026 04:23:50 - INFO - qdiff.optimization.model_recon -   Block 11 iter 55001/28/2026 04:24:3401/28/2026 04:25:46 - INFO - qdiff.optimization.model_recon -   Block 11 iter 60001/28/2026 04:26:2901/28/2026 04:27:39 - INFO - qdiff.optimization.model_recon -   Block 11 iter 65001/28/2026 04:28:2201/28/2026 04:29:32 - INFO - qdiff.optimization.model_recon -   Block 11 iter 70001/28/2026 04:30:1701/28/2026 04:31:25 - INFO - qdiff.optimization.model_recon -   Block 11 iter 75001/28/2026 04:32:1001/28/2026 04:33:16 - INFO - qdiff.optimization.model_recon -   Block 11 iter 80001/28/2026 04:34:0201/28/2026 04:35:08 - INFO - qdiff.optimization.model_recon -   Block 11 iter 85001/28/2026 04:35:5401/28/2026 04:36:58 - INFO - qdiff.optimization.model_recon -   Block 11 iter 90001/28/2026 04:37:4801/28/2026 04:38:51 - INFO - qdiff.optimization.model_recon -   Block 11 iter 95001/28/2026 04:39:4301/28/2026 04:40:42 - INFO - qdiff.optimization.model_recon -   Block 11 optimiza01/28/2026 04:41:37 - INFO - qdiff.optimization.model_recon -   Block 11 optimization complete
01/28/2026 04:41:37 - INFO - qdiff.optimization.model_recon - Processing WAN block 12/39
01/28/2026 04:41:37 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 04:41:37 - INF01/28/2026 04:41:45 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 04:42:39 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 04:42:39 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 04:42:40 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.79GB
01/28/2026 04:42:01/28/2026 04:43:42 - INFO - qdiff.optimization.model_recon -   Block 12 iter 50/01/28/2026 04:44:301/28/2026 04:45:38 - INFO - qdiff.optimization.model_recon -   Block 12 iter 10001/28/2026 04:46:3501/28/2026 04:47:32 - INFO - qdiff.optimization.model_recon -   Block 12 iter 15001/28/2026 04:48:2701/28/2026 04:49:26 - INFO - qdiff.optimization.model_recon -   Block 12 iter 20001/28/2026 04:50:2201/28/2026 04:51:19 - INFO - qdiff.optimization.model_recon -   Block 12 iter 25001/28/2026 04:52:1301/28/2026 04:53:11 - INFO - qdiff.optimization.model_recon -   Block 12 iter 30001/28/2026 04:54:0501/28/2026 04:55:01 - INFO - qdiff.optimization.model_recon -   Block 12 iter 35001/28/2026 04:55:5801/28/2026 04:56:54 - INFO - qdiff.optimization.model_recon -   Block 12 iter 40001/28/2026 04:57:5101/28/2026 04:58:46 - INFO - qdiff.optimization.model_recon -   Block 12 iter 45001/28/2026 04:59:4501/28/2026 05:00:38 - INFO - qdiff.optimization.model_recon -   Block 12 iter 50001/28/2026 05:01:4001/28/2026 05:02:33 - INFO - qdiff.optimization.model_recon -   Block 12 iter 55001/28/2026 05:03:3601/28/2026 05:04:27 - INFO - qdiff.optimization.model_recon -   Block 12 iter 60001/28/2026 05:05:3501/28/2026 05:06:23 - INFO - qdiff.optimization.model_recon -   Block 12 iter 65001/28/2026 05:07:3001/28/2026 05:08:17 - INFO - qdiff.optimization.model_recon -   Block 12 iter 70001/28/2026 05:09:2401/28/2026 05:10:10 - INFO - qdiff.optimization.model_recon -   Block 12 iter 75001/28/2026 05:11:1601/28/2026 05:12:02 - INFO - qdiff.optimization.model_recon -   Block 12 iter 80001/28/2026 05:13:0701/28/2026 05:13:53 - INFO - qdiff.optimization.model_recon -   Block 12 iter 85001/28/2026 05:14:5901/28/2026 05:15:44 - INFO - qdiff.optimization.model_recon -   Block 12 iter 90001/28/2026 05:16:5201/28/2026 05:17:37 - INFO - qdiff.optimization.model_recon -   Block 12 iter 95001/28/2026 05:18:5001/28/2026 05:19:30 - INFO - qdiff.optimization.model_recon -   Block 12 optimiza01/28/2026 05:20:46 - INFO - qdiff.optimization.model_recon -   Block 12 optimization complete
01/28/2026 05:20:46 - INFO - qdiff.optimization.model_recon - Processing WAN block 13/39
01/28/2026 05:20:46 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 05:20:46 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 13...
01/28/2026 05:21:53 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 05:21:53 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 05:21:53 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.80GB
01/28/2026 05:21:01/28/2026 05:22:38 - INFO - qdiff.optimization.model_recon -   Block 13 iter 50/01/28/2026 05:23:501/28/2026 05:24:36 - INFO - qdiff.optimization.model_recon -   Block 13 iter 10001/28/2026 05:25:5201/28/2026 05:26:33 - INFO - qdiff.optimization.model_recon -   Block 13 iter 15001/28/2026 05:27:4701/28/2026 05:28:30 - INFO - qdiff.optimization.model_recon -   Block 13 iter 20001/28/2026 05:29:4101/28/2026 05:30:22 - INFO - qdiff.optimization.model_recon -   Block 13 iter 25001/28/2026 05:31:3201/28/2026 05:32:12 - INFO - qdiff.optimization.model_recon -   Block 13 iter 30001/28/2026 05:33:2301/28/2026 05:34:06 - INFO - qdiff.optimization.model_recon -   Block 13 iter 35001/28/2026 05:35:1401/28/2026 05:35:56 - INFO - qdiff.optimization.model_recon -   Block 13 iter 40001/28/2026 05:37:0601/28/2026 05:37:48 - INFO - qdiff.optimization.model_recon -   Block 13 iter 45001/28/2026 05:38:5901/28/2026 05:39:41 - INFO - qdiff.optimization.model_recon -   Block 13 iter 50001/28/2026 05:40:5201/28/2026 05:41:36 - INFO - qdiff.optimization.model_recon -   Block 13 iter 55001/28/2026 05:42:4701/28/2026 05:43:29 - INFO - qdiff.optimization.model_recon -   Block 13 iter 60001/28/2026 05:44:4101/28/2026 05:45:23 - INFO - qdiff.optimization.model_recon -   Block 13 iter 65001/28/2026 05:46:3901/28/2026 05:47:23 - INFO - qdiff.optimization.model_recon -   Block 13 iter 70001/28/2026 05:48:3501/28/2026 05:49:17 - INFO - qdiff.optimization.model_recon -   Block 13 iter 75001/28/2026 05:50:2801/28/2026 05:51:11 - INFO - qdiff.optimization.model_recon -   Block 13 iter 80001/28/2026 05:52:2001/28/2026 05:53:01 - INFO - qdiff.optimization.model_recon -   Block 13 iter 85001/28/2026 05:54:1101/28/2026 05:54:52 - INFO - qdiff.optimization.model_recon -   Block 13 iter 90001/28/2026 05:56:0201/28/2026 05:56:42 - INFO - qdiff.optimization.model_recon -   Block 13 iter 95001/28/2026 05:57:5501/28/2026 05:58:35 - INFO - qdiff.optimization.model_recon -   Block 13 optimiza01/28/2026 05:59:48 - INFO - qdiff.optimization.model_recon -   Block 13 optimization complete
01/28/2026 05:59:48 - INFO - qdiff.optimization.model_recon - Processing WAN block 14/39
01/28/2026 05:59:48 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 05:59:48 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 14...
01/28/2026 06:00:58 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 06:00:58 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 06:00:59 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.82GB
01/28/2026 06:01:01/28/2026 06:01:40 - INFO - qdiff.optimization.model_recon -   Block 14 iter 50/01/28/2026 06:02:501/28/2026 06:03:38 - INFO - qdiff.optimization.model_recon -   Block 14 iter 10001/28/2026 06:04:5201/28/2026 06:05:32 - INFO - qdiff.optimization.model_recon -   Block 14 iter 15001/28/2026 06:06:4601/28/2026 06:07:25 - INFO - qdiff.optimization.model_recon -   Block 14 iter 20001/28/2026 06:08:4101/28/2026 06:09:18 - INFO - qdiff.optimization.model_recon -   Block 14 iter 25001/28/2026 06:10:3301/28/2026 06:11:12 - INFO - qdiff.optimization.model_recon -   Block 14 iter 30001/28/2026 06:12:2601/28/2026 06:13:02 - INFO - qdiff.optimization.model_recon -   Block 14 iter 35001/28/2026 06:14:1601/28/2026 06:14:52 - INFO - qdiff.optimization.model_recon -   Block 14 iter 40001/28/2026 06:16:0801/28/2026 06:16:41 - INFO - qdiff.optimization.model_recon -   Block 14 iter 45001/28/2026 06:18:0001/28/2026 06:18:34 - INFO - qdiff.optimization.model_recon -   Block 14 iter 50001/28/2026 06:19:5201/28/2026 06:20:28 - INFO - qdiff.optimization.model_recon -   Block 14 iter 55001/28/2026 06:21:5001/28/2026 06:22:28 - INFO - qdiff.optimization.model_recon -   Block 14 iter 60001/28/2026 06:23:4801/28/2026 06:24:24 - INFO - qdiff.optimization.model_recon -   Block 14 iter 65001/28/2026 06:25:4201/28/2026 06:26:19 - INFO - qdiff.optimization.model_recon -   Block 14 iter 70001/28/2026 06:27:3601/28/2026 06:28:13 - INFO - qdiff.optimization.model_recon -   Block 14 iter 75001/28/2026 06:29:2901/28/2026 06:30:05 - INFO - qdiff.optimization.model_recon -   Block 14 iter 80001/28/2026 06:31:2001/28/2026 06:31:56 - INFO - qdiff.optimization.model_recon -   Block 14 iter 85001/28/2026 06:33:1201/28/2026 06:33:48 - INFO - qdiff.optimization.model_recon -   Block 14 iter 90001/28/2026 06:35:0301/28/2026 06:35:38 - INFO - qdiff.optimization.model_recon -   Block 14 iter 95001/28/2026 06:36:5401/28/2026 06:37:27 - INFO - qdiff.optimization.model_recon -   Block 14 optimiza01/28/2026 06:38:44 - INFO - qdiff.optimization.model_recon -   Block 14 optimization complete
01/28/2026 06:38:44 - INFO - qdiff.optimization.model_recon - Processing WAN block 15/39
01/28/2026 06:38:44 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 06:38:44 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 15...
01/28/2026 06:39:58 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 06:39:58 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 06:39:58 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.83GB
01/28/2026 06:40:01/28/2026 06:40:36 - INFO - qdiff.optimization.model_recon -   Block 15 iter 50/01/28/2026 06:41:501/28/2026 06:42:31 - INFO - qdiff.optimization.model_recon -   Block 15 iter 10001/28/2026 06:43:4801/28/2026 06:44:26 - INFO - qdiff.optimization.model_recon -   Block 15 iter 15001/28/2026 06:45:4201/28/2026 06:46:22 - INFO - qdiff.optimization.model_recon -   Block 15 iter 20001/28/2026 06:47:3601/28/2026 06:48:16 - INFO - qdiff.optimization.model_recon -   Block 15 iter 25001/28/2026 06:49:2901/28/2026 06:50:11 - INFO - qdiff.optimization.model_recon -   Block 15 iter 30001/28/2026 06:51:2201/28/2026 06:52:03 - INFO - qdiff.optimization.model_recon -   Block 15 iter 35001/28/2026 06:53:1301/28/2026 06:53:54 - INFO - qdiff.optimization.model_recon -   Block 15 iter 40001/28/2026 06:55:0501/28/2026 06:55:44 - INFO - qdiff.optimization.model_recon -   Block 15 iter 45001/28/2026 06:56:5601/28/2026 06:57:35 - INFO - qdiff.optimization.model_recon -   Block 15 iter 50001/28/2026 06:58:4801/28/2026 06:59:27 - INFO - qdiff.optimization.model_recon -   Block 15 iter 55001/28/2026 07:00:4101/28/2026 07:01:20 - INFO - qdiff.optimization.model_recon -   Block 15 iter 60001/28/2026 07:02:3601/28/2026 07:03:15 - INFO - qdiff.optimization.model_recon -   Block 15 iter 65001/28/2026 07:04:2901/28/2026 07:05:10 - INFO - qdiff.optimization.model_recon -   Block 15 iter 70001/28/2026 07:06:2301/28/2026 07:07:04 - INFO - qdiff.optimization.model_recon -   Block 15 iter 75001/28/2026 07:08:2001/28/2026 07:09:02 - INFO - qdiff.optimization.model_recon -   Block 15 iter 80001/28/2026 07:10:1401/28/2026 07:10:58 - INFO - qdiff.optimization.model_recon -   Block 15 iter 85001/28/2026 07:12:1001/28/2026 07:12:53 - INFO - qdiff.optimization.model_recon -   Block 15 iter 90001/28/2026 07:14:0101/28/2026 07:14:43 - INFO - qdiff.optimization.model_recon -   Block 15 iter 95001/28/2026 07:15:5101/28/2026 07:16:35 - INFO - qdiff.optimization.model_recon -   Block 15 optimiza01/28/2026 07:17:42 - INFO - qdiff.optimization.model_recon -   Block 15 optimization complete
01/28/2026 07:17:42 - INFO - qdiff.optimization.model_recon - Processing WAN block 16/39
01/28/2026 07:17:42 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 07:17:42 - INF01/28/2026 07:17:53 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 07:19:00 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 07:19:00 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 07:19:01 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.85GB
01/28/2026 07:19:01/28/2026 07:19:47 - INFO - qdiff.optimization.model_recon -   Block 16 iter 50/01/28/2026 07:20:501/28/2026 07:21:38 - INFO - qdiff.optimization.model_recon -   Block 16 iter 10001/28/2026 07:22:4601/28/2026 07:23:30 - INFO - qdiff.optimization.model_recon -   Block 16 iter 15001/28/2026 07:24:3901/28/2026 07:25:23 - INFO - qdiff.optimization.model_recon -   Block 16 iter 20001/28/2026 07:26:3201/28/2026 07:27:16 - INFO - qdiff.optimization.model_recon -   Block 16 iter 25001/28/2026 07:28:2601/28/2026 07:29:11 - INFO - qdiff.optimization.model_recon -   Block 16 iter 30001/28/2026 07:30:2001/28/2026 07:31:06 - INFO - qdiff.optimization.model_recon -   Block 16 iter 35001/28/2026 07:32:1301/28/2026 07:33:00 - INFO - qdiff.optimization.model_recon -   Block 16 iter 40001/28/2026 07:34:0501/28/2026 07:34:51 - INFO - qdiff.optimization.model_recon -   Block 16 iter 45001/28/2026 07:35:5501/28/2026 07:36:42 - INFO - qdiff.optimization.model_recon -   Block 16 iter 50001/28/2026 07:37:4601/28/2026 07:38:36 - INFO - qdiff.optimization.model_recon -   Block 16 iter 55001/28/2026 07:39:3901/28/2026 07:40:27 - INFO - qdiff.optimization.model_recon -   Block 16 iter 60001/28/2026 07:41:3101/28/2026 07:42:19 - INFO - qdiff.optimization.model_recon -   Block 16 iter 65001/28/2026 07:43:2701/28/2026 07:44:14 - INFO - qdiff.optimization.model_recon -   Block 16 iter 70001/28/2026 07:45:2401/28/2026 07:46:09 - INFO - qdiff.optimization.model_recon -   Block 16 iter 75001/28/2026 07:47:2001/28/2026 07:48:06 - INFO - qdiff.optimization.model_recon -   Block 16 iter 80001/28/2026 07:49:1601/28/2026 07:50:04 - INFO - qdiff.optimization.model_recon -   Block 16 iter 85001/28/2026 07:51:1301/28/2026 07:51:59 - INFO - qdiff.optimization.model_recon -   Block 16 iter 90001/28/2026 07:53:0501/28/2026 07:53:51 - INFO - qdiff.optimization.model_recon -   Block 16 iter 95001/28/2026 07:54:5701/28/2026 07:55:41 - INFO - qdiff.optimization.model_recon -   Block 16 optimiza01/28/2026 07:56:47 - INFO - qdiff.optimization.model_recon -   Block 16 optimization complete
01/28/2026 07:56:47 - INFO - qdiff.optimization.model_recon - Processing WAN block 17/39
01/28/2026 07:56:47 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 07:56:47 - INF01/28/2026 07:57:03 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 07:58:09 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 07:58:09 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 07:58:10 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.86GB
01/28/2026 07:58:01/28/2026 07:58:59 - INFO - qdiff.optimization.model_recon -   Block 17 iter 50/01/28/2026 08:00:001/28/2026 08:00:53 - INFO - qdiff.optimization.model_recon -   Block 17 iter 10001/28/2026 08:01:5901/28/2026 08:02:46 - INFO - qdiff.optimization.model_recon -   Block 17 iter 15001/28/2026 08:03:5301/28/2026 08:04:41 - INFO - qdiff.optimization.model_recon -   Block 17 iter 20001/28/2026 08:05:4701/28/2026 08:06:39 - INFO - qdiff.optimization.model_recon -   Block 17 iter 25001/28/2026 08:07:4401/28/2026 08:08:35 - INFO - qdiff.optimization.model_recon -   Block 17 iter 30001/28/2026 08:09:4001/28/2026 08:10:34 - INFO - qdiff.optimization.model_recon -   Block 17 iter 35001/28/2026 08:11:3901/28/2026 08:12:34 - INFO - qdiff.optimization.model_recon -   Block 17 iter 40001/28/2026 08:13:3401/28/2026 08:14:29 - INFO - qdiff.optimization.model_recon -   Block 17 iter 45001/28/2026 08:15:3101/28/2026 08:16:29 - INFO - qdiff.optimization.model_recon -   Block 17 iter 50001/28/2026 08:17:2801/28/2026 08:18:25 - INFO - qdiff.optimization.model_recon -   Block 17 iter 55001/28/2026 08:19:2301/28/2026 08:20:17 - INFO - qdiff.optimization.model_recon -   Block 17 iter 60001/28/2026 08:21:1501/28/2026 08:22:09 - INFO - qdiff.optimization.model_recon -   Block 17 iter 65001/28/2026 08:23:1001/28/2026 08:24:05 - INFO - qdiff.optimization.model_recon -   Block 17 iter 70001/28/2026 08:25:0401/28/2026 08:25:58 - INFO - qdiff.optimization.model_recon -   Block 17 iter 75001/28/2026 08:26:5701/28/2026 08:27:52 - INFO - qdiff.optimization.model_recon -   Block 17 iter 80001/28/2026 08:28:5101/28/2026 08:29:49 - INFO - qdiff.optimization.model_recon -   Block 17 iter 85001/28/2026 08:30:4501/28/2026 08:31:41 - INFO - qdiff.optimization.model_recon -   Block 17 iter 90001/28/2026 08:32:3801/28/2026 08:33:34 - INFO - qdiff.optimization.model_recon -   Block 17 iter 95001/28/2026 08:34:3101/28/2026 08:35:26 - INFO - qdiff.optimization.model_recon -   Block 17 optimiza01/28/2026 08:36:23 - INFO - qdiff.optimization.model_recon -   Block 17 optimization complete
01/28/2026 08:36:23 - INFO - qdiff.optimization.model_recon - Processing WAN block 18/39
01/28/2026 08:36:23 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 08:36:23 - INF01/28/2026 08:36:53 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 08:37:50 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 08:37:50 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 08:37:50 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.88GB
01/28/2026 08:37:01/28/2026 08:38:52 - INFO - qdiff.optimization.model_recon -   Block 18 iter 50/01/28/2026 08:39:401/28/2026 08:40:45 - INFO - qdiff.optimization.model_recon -   Block 18 iter 10001/28/2026 08:41:4001/28/2026 08:42:40 - INFO - qdiff.optimization.model_recon -   Block 18 iter 15001/28/2026 08:43:3301/28/2026 08:44:33 - INFO - qdiff.optimization.model_recon -   Block 18 iter 20001/28/2026 08:45:2601/28/2026 08:46:26 - INFO - qdiff.optimization.model_recon -   Block 18 iter 25001/28/2026 08:47:1901/28/2026 08:48:20 - INFO - qdiff.optimization.model_recon -   Block 18 iter 30001/28/2026 08:49:1201/28/2026 08:50:14 - INFO - qdiff.optimization.model_recon -   Block 18 iter 35001/28/2026 08:51:0401/28/2026 08:52:07 - INFO - qdiff.optimization.model_recon -   Block 18 iter 40001/28/2026 08:53:0101/28/2026 08:54:04 - INFO - qdiff.optimization.model_recon -   Block 18 iter 45001/28/2026 08:54:5401/28/2026 08:55:59 - INFO - qdiff.optimization.model_recon -   Block 18 iter 50001/28/2026 08:56:4801/28/2026 08:57:57 - INFO - qdiff.optimization.model_recon -   Block 18 iter 55001/28/2026 08:58:4301/28/2026 08:59:53 - INFO - qdiff.optimization.model_recon -   Block 18 iter 60001/28/2026 09:00:4001/28/2026 09:01:51 - INFO - qdiff.optimization.model_recon -   Block 18 iter 65001/28/2026 09:02:3601/28/2026 09:03:48 - INFO - qdiff.optimization.model_recon -   Block 18 iter 70001/28/2026 09:04:3101/28/2026 09:05:40 - INFO - qdiff.optimization.model_recon -   Block 18 iter 75001/28/2026 09:06:2301/28/2026 09:07:33 - INFO - qdiff.optimization.model_recon -   Block 18 iter 80001/28/2026 09:08:1601/28/2026 09:09:25 - INFO - qdiff.optimization.model_recon -   Block 18 iter 85001/28/2026 09:10:0801/28/2026 09:11:17 - INFO - qdiff.optimization.model_recon -   Block 18 iter 90001/28/2026 09:12:0001/28/2026 09:13:11 - INFO - qdiff.optimization.model_recon -   Block 18 iter 95001/28/2026 09:13:5401/28/2026 09:15:01 - INFO - qdiff.optimization.model_recon -   Block 18 optimiza01/28/2026 09:15:45 - INFO - qdiff.optimization.model_recon -   Block 18 optimization complete
01/28/2026 09:15:45 - INFO - qdiff.optimization.model_recon - Processing WAN block 19/39
01/28/2026 09:15:45 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 09:15:45 - INF01/28/2026 09:16:31 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 09:17:15 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 09:17:15 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 09:17:15 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.89GB
01/28/2026 09:17:01/28/2026 09:18:29 - INFO - qdiff.optimization.model_recon -   Block 19 iter 50/01/28/2026 09:19:101/28/2026 09:20:22 - INFO - qdiff.optimization.model_recon -   Block 19 iter 10001/28/2026 09:21:0301/28/2026 09:22:14 - INFO - qdiff.optimization.model_recon -   Block 19 iter 15001/28/2026 09:22:5501/28/2026 09:24:06 - INFO - qdiff.optimization.model_recon -   Block 19 iter 20001/28/2026 09:24:4901/28/2026 09:26:01 - INFO - qdiff.optimization.model_recon -   Block 19 iter 25001/28/2026 09:26:4201/28/2026 09:27:51 - INFO - qdiff.optimization.model_recon -   Block 19 iter 30001/28/2026 09:28:3401/28/2026 09:29:43 - INFO - qdiff.optimization.model_recon -   Block 19 iter 35001/28/2026 09:30:2601/28/2026 09:31:35 - INFO - qdiff.optimization.model_recon -   Block 19 iter 40001/28/2026 09:32:1801/28/2026 09:33:29 - INFO - qdiff.optimization.model_recon -   Block 19 iter 45001/28/2026 09:34:1301/28/2026 09:35:23 - INFO - qdiff.optimization.model_recon -   Block 19 iter 50001/28/2026 09:36:0701/28/2026 09:37:17 - INFO - qdiff.optimization.model_recon -   Block 19 iter 55001/28/2026 09:38:0001/28/2026 09:39:10 - INFO - qdiff.optimization.model_recon -   Block 19 iter 60001/28/2026 09:39:5301/28/2026 09:41:04 - INFO - qdiff.optimization.model_recon -   Block 19 iter 65001/28/2026 09:41:5001/28/2026 09:42:59 - INFO - qdiff.optimization.model_recon -   Block 19 iter 70001/28/2026 09:43:4501/28/2026 09:44:54 - INFO - qdiff.optimization.model_recon -   Block 19 iter 75001/28/2026 09:45:3901/28/2026 09:46:49 - INFO - qdiff.optimization.model_recon -   Block 19 iter 80001/28/2026 09:47:3201/28/2026 09:48:43 - INFO - qdiff.optimization.model_recon -   Block 19 iter 85001/28/2026 09:49:2401/28/2026 09:50:35 - INFO - qdiff.optimization.model_recon -   Block 19 iter 90001/28/2026 09:51:1501/28/2026 09:52:29 - INFO - qdiff.optimization.model_recon -   Block 19 iter 95001/28/2026 09:53:1101/28/2026 09:54:19 - INFO - qdiff.optimization.model_recon -   Block 19 optimiza01/28/2026 09:55:02 - INFO - qdiff.optimization.model_recon -   Block 19 optimization complete
01/28/2026 09:55:02 - INFO - qdiff.optimization.model_recon - Completed 20/40 blocks
01/28/2026 09:55:02 - INFO - qdiff.optimization.model_recon - Processing WAN block 20/39
01/28/2026 09:55:02 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 09:55:02 - INF01/28/2026 09:55:52 - INFO - qdiff.optimization.model_recon -   Block input shape01/28/2026 09:56:36 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 09:56:36 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 09:56:36 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.91GB
01/28/2026 09:56:01/28/2026 09:57:46 - INFO - qdiff.optimization.model_recon -   Block 20 iter 50/01/28/2026 09:58:301/28/2026 09:59:37 - INFO - qdiff.optimization.model_recon -   Block 20 iter 10001/28/2026 10:00:2201/28/2026 10:01:29 - INFO - qdiff.optimization.model_recon -   Block 20 iter 15001/28/2026 10:02:1501/28/2026 10:03:21 - INFO - qdiff.optimization.model_recon -   Block 20 iter 20001/28/2026 10:04:0601/28/2026 10:05:13 - INFO - qdiff.optimization.model_recon -   Block 20 iter 25001/28/2026 10:05:5801/28/2026 10:07:04 - INFO - qdiff.optimization.model_recon -   Block 20 iter 30001/28/2026 10:07:5001/28/2026 10:08:55 - INFO - qdiff.optimization.model_recon -   Block 20 iter 35001/28/2026 10:09:4201/28/2026 10:10:47 - INFO - qdiff.optimization.model_recon -   Block 20 iter 40001/28/2026 10:11:3501/28/2026 10:12:38 - INFO - qdiff.optimization.model_recon -   Block 20 iter 45001/28/2026 10:13:2801/28/2026 10:14:30 - INFO - qdiff.optimization.model_recon -   Block 20 iter 50001/28/2026 10:15:2101/28/2026 10:16:21 - INFO - qdiff.optimization.model_recon -   Block 20 iter 55001/28/2026 10:17:1301/28/2026 10:18:13 - INFO - qdiff.optimization.model_recon -   Block 20 iter 60001/28/2026 10:19:0501/28/2026 10:20:05 - INFO - qdiff.optimization.model_recon -   Block 20 iter 65001/28/2026 10:20:5701/28/2026 10:21:57 - INFO - qdiff.optimization.model_recon -   Block 20 iter 70001/28/2026 10:22:4901/28/2026 10:23:49 - INFO - qdiff.optimization.model_recon -   Block 20 iter 75001/28/2026 10:24:4101/28/2026 10:25:41 - INFO - qdiff.optimization.model_recon -   Block 20 iter 80001/28/2026 10:26:3301/28/2026 10:27:34 - INFO n.model_recon -   Block 20 iter 800/1000: GPU 27.95GB
01/28/2026 10:28:26 - INFO - qdiff.optimization.model_recon -   Block 20 iter 850/1000: GPU 27.95GB
01/28/2026 10:30:19 - INFO - qdiff.optimization.model_recon -   Block 20 iter 900/1000: GPU 27.95GB
01/28/2026 10:32:13 - INFO - qdiff.optimization.model_recon -   Block 20 iter 950/1000: GPU 27.95GB
01/28/2026 10:34:05 - INFO - qdiff.optimization.model_recon -   Block 20 optimization complete
01/28/2026 10:34:05 - INFO - qdiff.optimization.model_recon - Processing WAN block 21/39
01/28/2026 10:34:05 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 10:34:05 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 21...
01/28/2026 10:35:42 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 10:35:42 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 10:35:43 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.92GB
01/28/2026 10:35:45 - INFO - qdiff.optimization.model_recon -   Block 21 iter 0/1000: GPU 27.97GB
01/28/2026 10:37:37 - INFO - qdiff.optimization.model_recon -   Block 21 iter 50/1000: GPU 27.97GB
01/28/2026 10:39:28 - INFO - qdiff.optimization.model_recon -   Block 21 iter 100/1000: GPU 27.97GB
01/28/2026 10:41:19 - INFO - qdiff.optimization.model_recon -   Block 21 iter 150/1000: GPU 27.97GB
01/28/2026 10:43:11 - INFO - qdiff.optimization.model_recon -   Block 21 iter 200/1000: GPU 27.97GB
01/28/2026 10:45:02 - INFO - qdiff.optimization.model_recon -   Block 21 iter 250/1000: GPU 27.97GB
01/28/2026 10:46:54 - INFO - qdiff.optimization.model_recon -   Block 21 iter 300/1000: GPU 27.97GB
01/28/2026 10:48:46 - INFO - qdiff.optimization.model_recon -   Block 21 iter 350/1000: GPU 27.97GB
01/28/2026 10:50:39 - INFO - qdiff.optimization.model_recon -   Block 21 iter 400/1000: GPU 27.97GB
01/28/2026 10:52:30 - INFO - qdiff.optimization.model_recon -   Block 21 iter 450/1000: GPU 27.97GB
01/28/2026 10:54:23 - INFO - qdiff.optimization.model_recon -   Block 21 iter 500/1000: GPU 27.97GB
01/28/2026 10:56:15 - INFO - qdiff.optimization.model_recon -   Block 21 iter 550/1000: GPU 27.97GB
01/28/2026 10:58:07 - INFO - qdiff.optimization.model_recon -   Block 21 iter 600/1000: GPU 27.97GB
01/28/2026 11:00:00 - INFO - qdiff.optimization.model_recon -   Block 21 iter 650/1000: GPU 27.97GB
01/28/2026 11:01:52 - INFO - qdiff.optimization.model_recon -   Block 21 iter 700/1000: GPU 27.97GB
01/28/2026 11:03:44 - INFO - qdiff.optimization.model_recon -   Block 21 iter 750/1000: GPU 27.97GB
01/28/2026 11:05:37 - INFO - qdiff.optimization.model_recon -   Block 21 iter 800/1000: GPU 27.97GB
01/28/2026 11:07:29 - INFO - qdiff.optimization.model_recon -   Block 21 iter 850/1000: GPU 27.97GB
01/28/2026 11:09:20 - INFO - qdiff.optimization.model_recon -   Block 21 iter 900/1000: GPU 27.97GB
01/28/2026 11:11:12 - INFO - qdiff.optimization.model_recon -   Block 21 iter 950/1000: GPU 27.97GB
01/28/2026 11:13:03 - INFO - qdiff.optimization.model_recon -   Block 21 optimization complete
01/28/2026 11:13:03 - INFO - qdiff.optimization.model_recon - Processing WAN block 22/39
01/28/2026 11:13:03 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 11:13:03 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 22...
01/28/2026 11:14:45 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 11:14:45 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 11:14:46 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 27.94GB
01/28/2026 11:14:48 - INFO - qdiff.optimization.model_recon -   Block 22 iter 0/1000: GPU 27.98GB
01/28/2026 11:16:39 - INFO - qdiff.optimization.model_recon -   Block 22 iter 50/1000: GPU 27.98GB
01/28/2026 15:17:49 - INFO - qdiff.optimization.model_recon -   Block 28 iter 200/1000: GPU 28.07GB
01/28/2026 15:19:41 - INFO - qdiff.optimization.model_recon -   Block 28 iter 250/1000: GPU 28.07GB
01/28/2026 15:21:33 - INFO - qdiff.optimization.model_recon -   Block 28 iter 300/1000: GPU 28.07GB
01/28/2026 15:23:24 - INFO - qdiff.optimization.model_recon -   Block 28 iter 350/1000: GPU 28.07GB
01/28/2026 15:25:16 - INFO - qdiff.optimization.model_recon -   Block 28 iter 400/1000: GPU 28.07GB
01/28/2026 15:27:08 - INFO - qdiff.optimization.model_recon -   Block 28 iter 450/1000: GPU 28.07GB
01/28/2026 15:29:00 - INFO - qdiff.optimization.model_recon -   Block 28 iter 500/1000: GPU 28.07GB
01/28/2026 15:30:52 - INFO - qdiff.optimization.model_recon -   Block 28 iter 550/1000: GPU 28.07GB
01/28/2026 15:32:45 - INFO - qdiff.optimization.model_recon -   Block 28 iter 600/1000: GPU 28.07GB
01/28/2026 15:34:38 - INFO - qdiff.optimization.model_recon -   Block 28 iter 650/1000: GPU 28.07GB
01/28/2026 15:36:30 - INFO - qdiff.optimization.model_recon -   Block 28 iter 700/1000: GPU 28.07GB
01/28/2026 15:38:22 - INFO - qdiff.optimization.model_recon -   Block 28 iter 750/1000: GPU 28.07GB
01/28/2026 15:40:15 - INFO - qdiff.optimization.model_recon -   Block 28 iter 800/1000: GPU 28.07GB
01/28/2026 15:42:08 - INFO - qdiff.optimization.model_recon -   Block 28 iter 850/1000: GPU 28.07GB
01/28/2026 15:44:02 - INFO - qdiff.optimization.model_recon -   Block 28 iter 900/1000: GPU 28.07GB
01/28/2026 15:45:56 - INFO - qdiff.optimization.model_recon -   Block 28 iter 950/1000: GPU 28.07GB
01/28/2026 15:47:47 - INFO - qdiff.optimization.model_recon -   Block 28 optimization complete
01/28/2026 15:47:48 - INFO - qdiff.optimization.model_recon - Processing WAN block 29/39
01/28/2026 15:47:48 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 15:47:48 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 29...
01/28/2026 15:49:57 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 15:49:57 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 15:49:57 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.04GB
01/28/2026 15:50:00 - INFO - qdiff.optimization.model_recon -   Block 29 iter 0/1000: GPU 28.08GB
01/28/2026 15:51:55 - INFO - qdiff.optimization.model_recon -   Block 29 iter 50/1000: GPU 28.08GB
01/28/2026 15:53:49 - INFO - qdiff.optimization.model_recon -   Block 29 iter 100/1000: GPU 28.08GB
01/28/2026 15:55:41 - INFO - qdiff.optimization.model_recon -   Block 29 iter 150/1000: GPU 28.08GB
01/28/2026 15:57:33 - INFO - qdiff.optimization.model_recon -   Block 29 iter 200/1000: GPU 28.08GB
01/28/2026 15:59:26 - INFO - qdiff.optimization.model_recon -   Block 29 iter 250/1000: GPU 28.08GB
01/28/2026 16:01:18 - INFO - qdiff.optimization.model_recon -   Block 29 iter 300/1000: GPU 28.08GB
01/28/2026 16:03:10 - INFO - qdiff.optimization.model_recon -   Block 29 iter 350/1000: GPU 28.08GB
01/28/2026 16:05:03 - INFO - qdiff.optimization.model_recon -   Block 29 iter 400/1000: GPU 28.08GB
01/28/2026 16:06:56 - INFO - qdiff.optimization.model_recon -   Block 29 iter 450/1000: GPU 28.08GB
01/28/2026 16:08:48 - INFO - qdiff.optimization.model_recon -   Block 29 iter 500/1000: GPU 28.08GB
01/28/2026 16:10:41 - INFO - qdiff.optimization.model_recon -   Block 29 iter 550/1000: GPU 28.08GB
01/28/2026 16:12:32 - INFO - qdiff.optimization.model_recon -   Block 29 iter 600/1000: GPU 28.08GB
01/28/2026 16:14:24 - INFO - qdiff.optimization.model_recon -   Block 29 iter 650/1000: GPU 28.08GB
01/28/2026 16:16:16 - INFO - qdiff.optimization.model_recon -   Block 29 iter 700/1000: GPU 28.08GB
01/28/2026 16:18:09 - INFO - qdiff.optimization.model_recon -   Block 29 iter 750/1000: GPU 28.08GB
01/28/2026 16:20:01 - INFO - qdiff.optimization.model_recon -   Block 29 iter 800/1000: GPU 28.08GB
01/28/2026 16:21:53 - INFO - qdiff.optimization.model_recon -   Block 29 iter 850/1000: GPU 28.08GB
01/28/2026 16:23:45 - INFO - qdiff.optimization.model_recon -   Block 29 iter 900/1000: GPU 28.08GB
01/28/2026 16:25:38 - INFO - qdiff.optimization.model_recon -   Block 29 iter 950/1000: GPU 28.08GB
01/28/2026 16:27:30 - INFO - qdiff.optimization.model_recon -   Block 29 optimization complete
01/28/2026 16:27:30 - INFO - qdiff.optimization.model_recon - Completed 30/40 blocks
01/28/2026 16:27:30 - INFO - qdiff.optimization.model_recon - Processing WAN block 30/39
01/28/2026 16:27:30 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 16:27:30 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 30...
01/28/2026 16:29:45 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 16:29:45 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 16:29:45 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.05GB
01/28/2026 16:29:47 - INFO - qdiff.optimization.model_recon -   Block 30 iter 0/1000: GPU 28.10GB
01/28/2026 16:31:40 - INFO - qdiff.optimization.model_recon -   Block 30 iter 50/1000: GPU 28.10GB
01/28/2026 16:33:32 - INFO - qdiff.optimization.model_recon -   Block 30 iter 100/1000: GPU 28.10GB
01/28/2026 16:35:27 - INFO - qdiff.optimization.model_recon -   Block 30 iter 150/1000: GPU 28.10GB
01/28/2026 16:37:20 - INFO - qdiff.optimization.model_recon -   Block 30 iter 200/1000: GPU 28.10GB
01/28/2026 16:39:13 - INFO - qdiff.optimization.model_recon -   Block 30 iter 250/1000: GPU 28.10GB
01/28/2026 16:41:05 - INFO - qdiff.optimization.model_recon -   Block 30 iter 300/1000: GPU 28.10GB
01/28/2026 16:42:59 - INFO - qdiff.optimization.model_recon -   Block 30 iter 350/1000: GPU 28.10GB
01/28/2026 16:44:53 - INFO - qdiff.optimization.model_recon -   Block 30 iter 400/1000: GPU 28.10GB
01/28/2026 16:46:47 - INFO - qdiff.optimization.model_recon -   Block 30 iter 450/1000: GPU 28.10GB
01/28/2026 16:48:41 - INFO - qdiff.optimization.model_recon -   Block 30 iter 500/1000: GPU 28.10GB
01/28/2026 16:50:34 - INFO - qdiff.optimization.model_recon -   Block 30 iter 550/1000: GPU 28.10GB
01/28/2026 16:52:26 - INFO - qdiff.optimization.model_recon -   Block 30 iter 600/1000: GPU 28.10GB
01/28/2026 16:54:18 - INFO - qdiff.optimization.model_recon -   Block 30 iter 650/1000: GPU 28.10GB
01/28/2026 16:56:12 - INFO - qdiff.optimization.model_recon -   Block 30 iter 700/1000: GPU 28.10GB
01/28/2026 16:58:05 - INFO - qdiff.optimization.model_recon -   Block 30 iter 750/1000: GPU 28.10GB
01/28/2026 16:59:59 - INFO - qdiff.optimization.model_recon -   Block 30 iter 800/1000: GPU 28.10GB
01/28/2026 17:01:52 - INFO - qdiff.optimization.model_recon -   Block 30 iter 850/1000: GPU 28.10GB
01/28/2026 17:03:45 - INFO - qdiff.optimization.model_recon -   Block 30 iter 900/1000: GPU 28.10GB
01/28/2026 17:05:39 - INFO - qdiff.optimization.model_recon -   Block 30 iter 950/1000: GPU 28.10GB
01/28/2026 17:07:30 - INFO - qdiff.optimization.model_recon -   Block 30 optimization complete
01/28/2026 17:07:30 - INFO - qdiff.optimization.model_recon - Processing WAN block 31/39
01/28/2026 17:07:30 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 17:07:30 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 31...
01/28/2026 17:09:49 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 17:09:49 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 17:09:49 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.07GB
01/28/2026 17:09:51 - INFO - qdiff.optimization.model_recon -   Block 31 iter 0/1000: GPU 28.11GB
01/28/2026 17:11:49 - INFO - qdiff.optimization.model_recon -   Block 31 iter 50/1000: GPU 28.11GB
01/28/2026 17:13:43 - INFO - qdiff.optimization.model_recon -   Block 31 iter 100/1000: GPU 28.11GB
01/28/2026 17:15:35 - INFO - qdiff.optimization.model_recon -   Block 31 iter 150/1000: GPU 28.11GB
01/28/2026 17:17:27 - INFO - qdiff.optimization.model_recon -   Block 31 iter 200/1000: GPU 28.11GB
01/28/2026 17:19:22 - INFO - qdiff.optimization.model_recon -   Block 31 iter 250/1000: GPU 28.11GB
01/28/2026 17:21:15 - INFO - qdiff.optimization.model_recon -   Block 31 iter 300/1000: GPU 28.11GB
01/28/2026 17:23:08 - INFO - qdiff.optimization.model_recon -   Block 31 iter 350/1000: GPU 28.11GB
01/28/2026 17:25:01 - INFO - qdiff.optimization.model_recon -   Block 31 iter 400/1000: GPU 28.11GB
01/28/2026 17:26:53 - INFO - qdiff.optimization.model_recon -   Block 31 iter 450/1000: GPU 28.11GB
01/28/2026 17:28:46 - INFO - qdiff.optimization.model_recon -   Block 31 iter 500/1000: GPU 28.11GB
01/28/2026 17:30:38 - INFO - qdiff.optimization.model_recon -   Block 31 iter 550/1000: GPU 28.11GB
01/28/2026 17:32:30 - INFO - qdiff.optimization.model_recon -   Block 31 iter 600/1000: GPU 28.11GB
01/28/2026 17:34:23 - INFO - qdiff.optimization.model_recon -   Block 31 iter 650/1000: GPU 28.11GB
01/28/2026 17:36:15 - INFO - qdiff.optimization.model_recon -   Block 31 iter 700/1000: GPU 28.11GB
01/28/2026 17:38:06 - INFO - qdiff.optimization.model_recon -   Block 31 iter 750/1000: GPU 28.11GB
01/28/2026 17:39:58 - INFO - qdiff.optimization.model_recon -   Block 31 iter 800/1000: GPU 28.11GB
01/28/2026 17:41:49 - INFO - qdiff.optimization.model_recon -   Block 31 iter 850/1000: GPU 28.11GB
01/28/2026 17:43:40 - INFO - qdiff.optimization.model_recon -   Block 31 iter 900/1000: GPU 28.11GB
01/28/2026 17:45:33 - INFO - qdiff.optimization.model_recon -   Block 31 iter 950/1000: GPU 28.11GB
01/28/2026 17:47:24 - INFO - qdiff.optimization.model_recon -   Block 31 optimization complete
01/28/2026 17:47:24 - INFO - qdiff.optimization.model_recon - Processing WAN block 32/39
01/28/2026 17:47:24 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 17:47:24 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 32...
01/28/2026 17:49:46 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 17:49:46 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 17:49:46 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.08GB
01/28/2026 17:49:49 - INFO - qdiff.optimization.model_recon -   Block 32 iter 0/1000: GPU 28.13GB
01/28/2026 17:51:41 - INFO - qdiff.optimization.model_recon -   Block 32 iter 50/1000: GPU 28.13GB
01/28/2026 17:53:33 - INFO - qdiff.optimization.model_recon -   Block 32 iter 100/1000: GPU 28.13GB
01/28/2026 17:55:25 - INFO - qdiff.optimization.model_recon -   Block 32 iter 150/1000: GPU 28.13GB
01/28/2026 17:57:17 - INFO - qdiff.optimization.model_recon -   Block 32 iter 200/1000: GPU 28.13GB
01/28/2026 17:59:09 - INFO - qdiff.optimization.model_recon -   Block 32 iter 250/1000: GPU 28.13GB
01/28/2026 18:01:01 - INFO - qdiff.optimization.model_recon -   Block 32 iter 300/1000: GPU 28.13GB
01/28/2026 18:02:53 - INFO - qdiff.optimization.model_recon -   Block 32 iter 350/1000: GPU 28.13GB
01/28/2026 18:04:44 - INFO - qdiff.optimization.model_recon -   Block 32 iter 400/1000: GPU 28.13GB
01/28/2026 18:06:37 - INFO - qdiff.optimization.model_recon -   Block 32 iter 450/1000: GPU 28.13GB
01/28/2026 18:08:28 - INFO - qdiff.optimization.model_recon -   Block 32 iter 500/1000: GPU 28.13GB
01/28/2026 18:10:20 - INFO - qdiff.optimization.model_recon -   Block 32 iter 550/1000: GPU 28.13GB
01/28/2026 18:12:12 - INFO - qdiff.optimization.model_recon -   Block 32 iter 600/1000: GPU 28.13GB
01/28/2026 18:14:04 - INFO - qdiff.optimization.model_recon -   Block 32 iter 650/1000: GPU 28.13GB
01/28/2026 18:15:56 - INFO - qdiff.optimization.model_recon -   Block 32 iter 700/1000: GPU 28.13GB
01/28/2026 18:17:47 - INFO - qdiff.optimization.model_recon -   Block 32 iter 750/1000: GPU 28.13GB
01/28/2026 18:19:39 - INFO - qdiff.optimization.model_recon -   Block 32 iter 800/1000: GPU 28.13GB
01/28/2026 18:21:30 - INFO - qdiff.optimization.model_recon -   Block 32 iter 850/1000: GPU 28.13GB
01/28/2026 18:23:22 - INFO - qdiff.optimization.model_recon -   Block 32 iter 900/1000: GPU 28.13GB
01/28/2026 18:25:13 - INFO - qdiff.optimization.model_recon -   Block 32 iter 950/1000: GPU 28.13GB
01/28/2026 18:27:04 - INFO - qdiff.optimization.model_recon -   Block 32 optimization complete
01/28/2026 18:27:04 - INFO - qdiff.optimization.model_recon - Processing WAN block 33/39
01/28/2026 18:27:04 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 18:27:04 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 33...
01/28/2026 18:29:30 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 18:29:30 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 18:29:30 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.10GB
01/28/2026 18:29:32 - INFO - qdiff.optimization.model_recon -   Block 33 iter 0/1000: GPU 28.14GB
01/28/2026 18:31:24 - INFO - qdiff.optimization.model_recon -   Block 33 iter 50/1000: GPU 28.14GB
01/28/2026 18:33:17 - INFO - qdiff.optimization.model_recon -   Block 33 iter 100/1000: GPU 28.14GB
01/28/2026 18:35:09 - INFO - qdiff.optimization.model_recon -   Block 33 iter 150/1000: GPU 28.14GB
01/28/2026 18:37:01 - INFO - qdiff.optimization.model_recon -   Block 33 iter 200/1000: GPU 28.14GB
01/28/2026 18:38:53 - INFO - qdiff.optimization.model_recon -   Block 33 iter 250/1000: GPU 28.14GB
01/28/2026 18:40:44 - INFO - qdiff.optimization.model_recon -   Block 33 iter 300/1000: GPU 28.14GB
01/28/2026 18:42:36 - INFO - qdiff.optimization.model_recon -   Block 33 iter 350/1000: GPU 28.14GB
01/28/2026 18:44:27 - INFO - qdiff.optimization.model_recon -   Block 33 iter 400/1000: GPU 28.14GB
01/28/2026 18:46:18 - INFO - qdiff.optimization.model_recon -   Block 33 iter 450/1000: GPU 28.14GB
01/28/2026 18:48:10 - INFO - qdiff.optimization.model_recon -   Block 33 iter 500/1000: GPU 28.14GB
01/28/2026 18:50:02 - INFO - qdiff.optimization.model_recon -   Block 33 iter 550/1000: GPU 28.14GB
01/28/2026 18:51:54 - INFO - qdiff.optimization.model_recon -   Block 33 iter 600/1000: GPU 28.14GB
01/28/2026 18:53:45 - INFO - qdiff.optimization.model_recon -   Block 33 iter 650/1000: GPU 28.14GB
01/28/2026 18:55:37 - INFO - qdiff.optimization.model_recon -   Block 33 iter 700/1000: GPU 28.14GB
01/28/2026 18:57:29 - INFO - qdiff.optimization.model_recon -   Block 33 iter 750/1000: GPU 28.14GB
01/28/2026 18:59:22 - INFO - qdiff.optimization.model_recon -   Block 33 iter 800/1000: GPU 28.14GB
01/28/2026 19:01:14 - INFO - qdiff.optimization.model_recon -   Block 33 iter 850/1000: GPU 28.14GB
01/28/2026 19:03:06 - INFO - qdiff.optimization.model_recon -   Block 33 iter 900/1000: GPU 28.14GB
01/28/2026 19:04:56 - INFO - qdiff.optimization.model_recon -   Block 33 iter 950/1000: GPU 28.14GB
01/28/2026 19:06:47 - INFO - qdiff.optimization.model_recon -   Block 33 optimization complete
01/28/2026 19:06:47 - INFO - qdiff.optimization.model_recon - Processing WAN block 34/39
01/28/2026 19:06:47 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 19:06:47 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 34...
01/28/2026 19:09:17 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 19:09:17 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 19:09:17 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.11GB
01/28/2026 19:09:19 - INFO - qdiff.optimization.model_recon -   Block 34 iter 0/1000: GPU 28.16GB
01/28/2026 19:11:11 - INFO - qdiff.optimization.model_recon -   Block 34 iter 50/1000: GPU 28.16GB
01/28/2026 19:13:02 - INFO - qdiff.optimization.model_recon -   Block 34 iter 100/1000: GPU 28.16GB
01/28/2026 19:14:53 - INFO - qdiff.optimization.model_recon -   Block 34 iter 150/1000: GPU 28.16GB
01/28/2026 19:16:45 - INFO - qdiff.optimization.model_recon -   Block 34 iter 200/1000: GPU 28.16GB
01/28/2026 19:18:36 - INFO - qdiff.optimization.model_recon -   Block 34 iter 250/1000: GPU 28.16GB
01/28/2026 19:20:27 - INFO - qdiff.optimization.model_recon -   Block 34 iter 300/1000: GPU 28.16GB
01/28/2026 19:22:19 - INFO - qdiff.optimization.model_recon -   Block 34 iter 350/1000: GPU 28.16GB
01/28/2026 19:24:10 - INFO - qdiff.optimization.model_recon -   Block 34 iter 400/1000: GPU 28.16GB
01/28/2026 19:26:01 - INFO - qdiff.optimization.model_recon -   Block 34 iter 450/1000: GPU 28.16GB
01/28/2026 19:27:53 - INFO - qdiff.optimization.model_recon -   Block 34 iter 500/1000: GPU 28.16GB
01/28/2026 19:29:45 - INFO - qdiff.optimization.model_recon -   Block 34 iter 550/1000: GPU 28.16GB
01/28/2026 19:31:36 - INFO - qdiff.optimization.model_recon -   Block 34 iter 600/1000: GPU 28.16GB
01/28/2026 19:33:28 - INFO - qdiff.optimization.model_recon -   Block 34 iter 650/1000: GPU 28.16GB
01/28/2026 19:35:19 - INFO - qdiff.optimization.model_recon -   Block 34 iter 700/1000: GPU 28.16GB
01/28/2026 19:37:11 - INFO - qdiff.optimization.model_recon -   Block 34 iter 750/1000: GPU 28.16GB
01/28/2026 19:39:03 - INFO - qdiff.optimization.model_recon -   Block 34 iter 800/1000: GPU 28.16GB
01/28/2026 19:40:54 - INFO - qdiff.optimization.model_recon -   Block 34 iter 850/1000: GPU 28.16GB
01/28/2026 19:42:46 - INFO - qdiff.optimization.model_recon -   Block 34 iter 900/1000: GPU 28.16GB
01/28/2026 19:44:38 - INFO - qdiff.optimization.model_recon -   Block 34 iter 950/1000: GPU 28.16GB
01/28/2026 19:46:28 - INFO - qdiff.optimization.model_recon -   Block 34 optimization complete
01/28/2026 19:46:28 - INFO - qdiff.optimization.model_recon - Processing WAN block 35/39
01/28/2026 19:46:28 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 19:46:28 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 35...
01/28/2026 19:49:02 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 19:49:02 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 19:49:02 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.13GB
01/28/2026 19:49:04 - INFO - qdiff.optimization.model_recon -   Block 35 iter 0/1000: GPU 28.17GB
01/28/2026 19:50:56 - INFO - qdiff.optimization.model_recon -   Block 35 iter 50/1000: GPU 28.17GB
01/28/2026 19:52:50 - INFO - qdiff.optimization.model_recon -   Block 35 iter 100/1000: GPU 28.17GB
01/28/2026 19:54:42 - INFO - qdiff.optimization.model_recon -   Block 35 iter 150/1000: GPU 28.17GB
01/28/2026 19:56:33 - INFO - qdiff.optimization.model_recon -   Block 35 iter 200/1000: GPU 28.17GB
01/28/2026 19:58:26 - INFO - qdiff.optimization.model_recon -   Block 35 iter 250/1000: GPU 28.17GB
01/28/2026 20:00:18 - INFO - qdiff.optimization.model_recon -   Block 35 iter 300/1000: GPU 28.17GB
01/28/2026 20:02:11 - INFO - qdiff.optimization.model_recon -   Block 35 iter 350/1000: GPU 28.17GB
01/28/2026 20:04:04 - INFO - qdiff.optimization.model_recon -   Block 35 iter 400/1000: GPU 28.17GB
01/28/2026 20:05:59 - INFO - qdiff.optimization.model_recon -   Block 35 iter 450/1000: GPU 28.17GB
01/28/2026 20:07:58 - INFO - qdiff.optimization.model_recon -   Block 35 iter 500/1000: GPU 28.17GB
01/28/2026 20:09:56 - INFO - qdiff.optimization.model_recon -   Block 35 iter 550/1000: GPU 28.17GB
01/28/2026 20:11:54 - INFO - qdiff.optimization.model_recon -   Block 35 iter 600/1000: GPU 28.17GB
01/28/2026 20:13:49 - INFO - qdiff.optimization.model_recon -   Block 35 iter 650/1000: GPU 28.17GB
01/28/2026 20:15:42 - INFO - qdiff.optimization.model_recon -   Block 35 iter 700/1000: GPU 28.17GB
01/28/2026 20:17:34 - INFO - qdiff.optimization.model_recon -   Block 35 iter 750/1000: GPU 28.17GB
01/28/2026 20:19:27 - INFO - qdiff.optimization.model_recon -   Block 35 iter 800/1000: GPU 28.17GB
01/28/2026 20:21:20 - INFO - qdiff.optimization.model_recon -   Block 35 iter 850/1000: GPU 28.17GB
01/28/2026 20:23:13 - INFO - qdiff.optimization.model_recon -   Block 35 iter 900/1000: GPU 28.17GB
01/28/2026 20:25:05 - INFO - qdiff.optimization.model_recon -   Block 35 iter 950/1000: GPU 28.17GB
01/28/2026 20:26:55 - INFO - qdiff.optimization.model_recon -   Block 35 optimization complete
01/28/2026 20:26:55 - INFO - qdiff.optimization.model_recon - Processing WAN block 36/39
01/28/2026 20:26:55 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 20:26:55 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 36...
01/28/2026 20:29:33 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 20:29:33 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 20:29:33 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.14GB
01/28/2026 20:29:35 - INFO - qdiff.optimization.model_recon -   Block 36 iter 0/1000: GPU 28.19GB
01/28/2026 20:31:27 - INFO - qdiff.optimization.model_recon -   Block 36 iter 50/1000: GPU 28.19GB
01/28/2026 20:33:19 - INFO - qdiff.optimization.model_recon -   Block 36 iter 100/1000: GPU 28.19GB
01/28/2026 20:35:10 - INFO - qdiff.optimization.model_recon -   Block 36 iter 150/1000: GPU 28.19GB
01/28/2026 20:37:03 - INFO - qdiff.optimization.model_recon -   Block 36 iter 200/1000: GPU 28.19GB
01/28/2026 20:38:54 - INFO - qdiff.optimization.model_recon -   Block 36 iter 250/1000: GPU 28.19GB
01/28/2026 20:40:46 - INFO - qdiff.optimization.model_recon -   Block 36 iter 300/1000: GPU 28.19GB
01/28/2026 20:42:38 - INFO - qdiff.optimization.model_recon -   Block 36 iter 350/1000: GPU 28.19GB
01/28/2026 20:44:29 - INFO - qdiff.optimization.model_recon -   Block 36 iter 400/1000: GPU 28.19GB
01/28/2026 20:46:21 - INFO - qdiff.optimization.model_recon -   Block 36 iter 450/1000: GPU 28.19GB
01/28/2026 20:48:12 - INFO - qdiff.optimization.model_recon -   Block 36 iter 500/1000: GPU 28.19GB
01/28/2026 20:50:03 - INFO - qdiff.optimization.model_recon -   Block 36 iter 550/1000: GPU 28.19GB
01/28/2026 20:51:55 - INFO - qdiff.optimization.model_recon -   Block 36 iter 600/1000: GPU 28.19GB
01/28/2026 20:53:46 - INFO - qdiff.optimization.model_recon -   Block 36 iter 650/1000: GPU 28.19GB
01/28/2026 20:55:37 - INFO - qdiff.optimization.model_recon -   Block 36 iter 700/1000: GPU 28.19GB
01/28/2026 20:57:30 - INFO - qdiff.optimization.model_recon -   Block 36 iter 750/1000: GPU 28.19GB
01/28/2026 20:59:21 - INFO - qdiff.optimization.model_recon -   Block 36 iter 800/1000: GPU 28.19GB
01/28/2026 21:01:13 - INFO - qdiff.optimization.model_recon -   Block 36 iter 850/1000: GPU 28.19GB
01/28/2026 21:03:05 - INFO - qdiff.optimization.model_recon -   Block 36 iter 900/1000: GPU 28.19GB
01/28/2026 21:04:57 - INFO - qdiff.optimization.model_recon -   Block 36 iter 950/1000: GPU 28.19GB
01/28/2026 21:06:47 - INFO - qdiff.optimization.model_recon -   Block 36 optimization complete
01/28/2026 21:06:47 - INFO - qdiff.optimization.model_recon - Processing WAN block 37/39
01/28/2026 21:06:47 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 21:06:47 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 37...
01/28/2026 21:09:29 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 21:09:29 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 21:09:29 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.16GB
01/28/2026 21:09:32 - INFO - qdiff.optimization.model_recon -   Block 37 iter 0/1000: GPU 28.20GB
01/28/2026 21:11:25 - INFO - qdiff.optimization.model_recon -   Block 37 iter 50/1000: GPU 28.20GB
01/28/2026 21:13:17 - INFO - qdiff.optimization.model_recon -   Block 37 iter 100/1000: GPU 28.20GB
01/28/2026 21:15:08 - INFO - qdiff.optimization.model_recon -   Block 37 iter 150/1000: GPU 28.20GB
01/28/2026 21:17:00 - INFO - qdiff.optimization.model_recon -   Block 37 iter 200/1000: GPU 28.20GB
01/28/2026 21:18:53 - INFO - qdiff.optimization.model_recon -   Block 37 iter 250/1000: GPU 28.20GB
01/28/2026 21:20:45 - INFO - qdiff.optimization.model_recon -   Block 37 iter 300/1000: GPU 28.20GB
01/28/2026 21:22:38 - INFO - qdiff.optimization.model_recon -   Block 37 iter 350/1000: GPU 28.20GB
01/28/2026 21:24:31 - INFO - qdiff.optimization.model_recon -   Block 37 iter 400/1000: GPU 28.20GB
01/28/2026 21:26:23 - INFO - qdiff.optimization.model_recon -   Block 37 iter 450/1000: GPU 28.20GB
01/28/2026 21:28:15 - INFO - qdiff.optimization.model_recon -   Block 37 iter 500/1000: GPU 28.20GB
01/28/2026 21:30:08 - INFO - qdiff.optimization.model_recon -   Block 37 iter 550/1000: GPU 28.20GB
01/28/2026 21:32:01 - INFO - qdiff.optimization.model_recon -   Block 37 iter 600/1000: GPU 28.20GB
01/28/2026 21:33:52 - INFO - qdiff.optimization.model_recon -   Block 37 iter 650/1000: GPU 28.20GB
01/28/2026 21:35:44 - INFO - qdiff.optimization.model_recon -   Block 37 iter 700/1000: GPU 28.20GB
01/28/2026 21:37:36 - INFO - qdiff.optimization.model_recon -   Block 37 iter 750/1000: GPU 28.20GB
01/28/2026 21:39:28 - INFO - qdiff.optimization.model_recon -   Block 37 iter 800/1000: GPU 28.20GB
01/28/2026 21:41:20 - INFO - qdiff.optimization.model_recon -   Block 37 iter 850/1000: GPU 28.20GB
01/28/2026 21:43:12 - INFO - qdiff.optimization.model_recon -   Block 37 iter 900/1000: GPU 28.20GB
01/28/2026 21:45:06 - INFO - qdiff.optimization.model_recon -   Block 37 iter 950/1000: GPU 28.20GB
01/28/2026 21:46:56 - INFO - qdiff.optimization.model_recon -   Block 37 optimization complete
01/28/2026 21:46:57 - INFO - qdiff.optimization.model_recon - Processing WAN block 38/39
01/28/2026 21:46:57 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 21:46:57 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 38...
01/28/2026 21:49:42 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 21:49:42 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 21:49:43 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.17GB
01/28/2026 21:49:45 - INFO - qdiff.optimization.model_recon -   Block 38 iter 0/1000: GPU 28.22GB
01/28/2026 21:51:39 - INFO - qdiff.optimization.model_recon -   Block 38 iter 50/1000: GPU 28.22GB
01/28/2026 21:53:32 - INFO - qdiff.optimization.model_recon -   Block 38 iter 100/1000: GPU 28.22GB
01/28/2026 21:55:25 - INFO - qdiff.optimization.model_recon -   Block 38 iter 150/1000: GPU 28.22GB
01/28/2026 21:57:18 - INFO - qdiff.optimization.model_recon -   Block 38 iter 200/1000: GPU 28.22GB
01/28/2026 21:59:10 - INFO - qdiff.optimization.model_recon -   Block 38 iter 250/1000: GPU 28.22GB
01/28/2026 22:01:03 - INFO - qdiff.optimization.model_recon -   Block 38 iter 300/1000: GPU 28.22GB
01/28/2026 22:02:56 - INFO - qdiff.optimization.model_recon -   Block 38 iter 350/1000: GPU 28.22GB
01/28/2026 22:04:49 - INFO - qdiff.optimization.model_recon -   Block 38 iter 400/1000: GPU 28.22GB
01/28/2026 22:06:42 - INFO - qdiff.optimization.model_recon -   Block 38 iter 450/1000: GPU 28.22GB
01/28/2026 22:08:36 - INFO - qdiff.optimization.model_recon -   Block 38 iter 500/1000: GPU 28.22GB
01/28/2026 22:10:29 - INFO - qdiff.optimization.model_recon -   Block 38 iter 550/1000: GPU 28.22GB
01/28/2026 22:12:22 - INFO - qdiff.optimization.model_recon -   Block 38 iter 600/1000: GPU 28.22GB
01/28/2026 22:14:14 - INFO - qdiff.optimization.model_recon -   Block 38 iter 650/1000: GPU 28.22GB
01/28/2026 22:16:07 - INFO - qdiff.optimization.model_recon -   Block 38 iter 700/1000: GPU 28.22GB
01/28/2026 22:17:58 - INFO - qdiff.optimization.model_recon -   Block 38 iter 750/1000: GPU 28.22GB
01/28/2026 22:19:49 - INFO - qdiff.optimization.model_recon -   Block 38 iter 800/1000: GPU 28.22GB
01/28/2026 22:21:41 - INFO - qdiff.optimization.model_recon -   Block 38 iter 850/1000: GPU 28.22GB
01/28/2026 22:23:33 - INFO - qdiff.optimization.model_recon -   Block 38 iter 900/1000: GPU 28.22GB
01/28/2026 22:25:25 - INFO - qdiff.optimization.model_recon -   Block 38 iter 950/1000: GPU 28.22GB
01/28/2026 22:27:14 - INFO - qdiff.optimization.model_recon -   Block 38 optimization complete
01/28/2026 22:27:14 - INFO - qdiff.optimization.model_recon - Processing WAN block 39/39
01/28/2026 22:27:14 - INFO - qdiff.optimization.model_recon -   Limiting samples from 60 to 8 for per-block optimization
01/28/2026 22:27:14 - INFO - qdiff.optimization.model_recon -   Collecting inputs/outputs for block 39...
01/28/2026 22:30:04 - INFO - qdiff.optimization.model_recon -   Block input shape: torch.Size([8, 75600, 5120])
01/28/2026 22:30:04 - INFO - qdiff.optimization.model_recon -   Block output shape: torch.Size([8, 75600, 5120])
01/28/2026 22:30:04 - INFO - qdiff.optimization.model_recon -   GPU memory before block optimization: 28.19GB
01/28/2026 22:30:06 - INFO - qdiff.optimization.model_recon -   Block 39 iter 0/1000: GPU 28.23GB
01/28/2026 22:31:58 - INFO - qdiff.optimization.model_recon -   Block 39 iter 50/1000: GPU 28.23GB
01/28/2026 22:33:50 - INFO - qdiff.optimization.model_recon -   Block 39 iter 100/1000: GPU 28.23GB
01/28/2026 22:35:42 - INFO - qdiff.optimization.model_recon -   Block 39 iter 150/1000: GPU 28.23GB
01/28/2026 22:37:34 - INFO - qdiff.optimization.model_recon -   Block 39 iter 200/1000: GPU 28.23GB
01/28/2026 22:39:26 - INFO - qdiff.optimization.model_recon -   Block 39 iter 250/1000: GPU 28.23GB
01/28/2026 22:41:18 - INFO - qdiff.optimization.model_recon -   Block 39 iter 300/1000: GPU 28.23GB
01/28/2026 22:43:10 - INFO - qdiff.optimization.model_recon -   Block 39 iter 350/1000: GPU 28.23GB
01/28/2026 22:45:02 - INFO - qdiff.optimization.model_recon -   Block 39 iter 400/1000: GPU 28.23GB
01/28/2026 22:46:54 - INFO - qdiff.optimization.model_recon -   Block 39 iter 450/1000: GPU 28.23GB
01/28/2026 22:48:46 - INFO - qdiff.optimization.model_recon -   Block 39 iter 500/1000: GPU 28.23GB
01/28/2026 22:50:39 - INFO - qdiff.optimization.model_recon -   Block 39 iter 550/1000: GPU 28.23GB
01/28/2026 22:52:32 - INFO - qdiff.optimization.model_recon -   Block 39 iter 600/1000: GPU 28.23GB
01/28/2026 22:54:24 - INFO - qdiff.optimization.model_recon -   Block 39 iter 650/1000: GPU 28.23GB
01/28/2026 22:56:17 - INFO - qdiff.optimization.model_recon -   Block 39 iter 700/1000: GPU 28.23GB
01/28/2026 22:58:10 - INFO - qdiff.optimization.model_recon -   Block 39 iter 750/1000: GPU 28.23GB
01/28/2026 23:00:03 - INFO - qdiff.optimization.model_recon -   Block 39 iter 800/1000: GPU 28.23GB
01/28/2026 23:01:56 - INFO - qdiff.optimization.model_recon -   Block 39 iter 850/1000: GPU 28.23GB
01/28/2026 23:03:47 - INFO - qdiff.optimization.model_recon -   Block 39 iter 900/1000: GPU 28.23GB
01/28/2026 23:05:40 - INFO - qdiff.optimization.model_recon -   Block 39 iter 950/1000: GPU 28.23GB
01/28/2026 23:07:31 - INFO - qdiff.optimization.model_recon -   Block 39 optimization complete
01/28/2026 23:07:31 - INFO - qdiff.optimization.model_recon - Completed 40/40 blocks
01/28/2026 23:07:31 - INFO - qdiff.optimization.model_recon - All 40 WAN blocks optimized
01/28/2026 23:07:31 - INFO - __main__ - T2: Weight optimization complete!
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model - CHECKPOINT SAVE SUMMARY
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   Total keys saved: 2916
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   LoRA layers: 406
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   TQE frame weights: 240
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   Weight quantizer delta (scales): 406
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   Act quantizer scale: 0
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   Act quantizer act_scale (smooth quant): 406
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model -   BaseQuantizer buffers: 0
01/28/2026 23:07:31 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:32 - INFO - __main__ - T2: No activation optimization params, skipping
01/28/2026 23:07:33 - INFO - __main__ - T2: Validating quantizers before save...
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - QUANTIZER VALIDATION RESULTS
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Total QuantLayers: 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   NVFP4 weight quantizers: 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   NVFP4 act quantizers: 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Weight quantizers with delta: 406/406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Weight quantizers init_done: 406/406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Act quantizers with scale: 0/406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Act quantizers with act_scale (smooth quant): 406/406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Act quantizers init_done: 406/406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:33 - INFO - __main__ - T2: Saving checkpoint...
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - CHECKPOINT SAVE SUMMARY
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Total keys saved: 2916
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   LoRA layers: 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   TQE frame weights: 240
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Weight quantizer delta (scales): 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Act quantizer scale: 0
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   Act quantizer act_scale (smooth quant): 406
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model -   BaseQuantizer buffers: 0
01/28/2026 23:07:33 - INFO - qdiff.models.quant_model - ============================================================
01/28/2026 23:07:34 - INFO - __main__ - T2: Saved checkpoint to quant_output/ckpt_t2.pth
01/28/2026 23:07:34 - INFO - __main__ - T2: Verifying saved checkpoint...
01/28/2026 23:07:34 - INFO - __main__ - T2: Checkpoint verification:
01/28/2026 23:07:34 - INFO - __main__ -   Total keys: 2916
01/28/2026 23:07:34 - INFO - __main__ -   LoRA keys: 1624
01/28/2026 23:07:34 - INFO - __main__ -   TQE keys: 240
01/28/2026 23:07:34 - INFO - __main__ -   Weight delta keys: 406
01/28/2026 23:07:34 - INFO - __main__ -   Act scale keys: 0
01/28/2026 23:07:34 - INFO - __main__ -   Smooth quant act_scale keys: 406
01/28/2026 23:07:34 - INFO - __main__ - 
Calibration complete! Checkpoints saved to quant_output/
01/28/2026 23:07:34 - INFO - __main__ -   - ckpt_t2.pth: Transformer 2 quantization parameters