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question: ['How many dogs are in the image?'], responses:['2']
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[('2', 0.12961991198727602), ('3', 0.12561270547489775), ('4', 0.12556127085987287), ('1', 0.1254920833223361), ('5', 0.12407835939022728), ('8', 0.124024076973589), ('7', 0.12288810153923228), ('29', 0.12272349045256851)]
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[['2', '3', '4', '1', '5', '8', '7', '29']]
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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torch.Size([13, 3, 448, 448]) knan debug pixel values shape
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1863
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tensor([1.0000e+00, 9.5853e-10, 4.7166e-11, 7.8502e-11, 4.0494e-11, 2.8588e-09,
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8.4946e-08, 3.1400e-11], device='cuda:0', grad_fn=<SoftmaxBackward0>)
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1 *************
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['1', '3', '4', '8', '6', '12', '2', '47'] tensor([1.0000e+00, 9.5853e-10, 4.7166e-11, 7.8502e-11, 4.0494e-11, 2.8588e-09,
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8.4946e-08, 3.1400e-11], device='cuda:0', grad_fn=<SelectBackward0>)
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ζεηζ¦ηεεΈδΈΊ: {True: tensor(8.4946e-08, device='cuda:0', grad_fn=<DivBackward0>), False: tensor(1.0000, device='cuda:0', grad_fn=<DivBackward0>), 'Execute Error': tensor(5.9605e-08, device='cuda:0', grad_fn=<DivBackward0>)}
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tensor([1.0000e+00, 1.9556e-08, 4.0041e-09, 4.2051e-08, 2.0408e-10, 1.0257e-09,
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5.8356e-10, 1.5279e-10], device='cuda:2', grad_fn=<SoftmaxBackward0>)
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2 *************
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['2', '3', '4', '1', '5', '8', '7', '29'] tensor([1.0000e+00, 1.9556e-08, 4.0041e-09, 4.2051e-08, 2.0408e-10, 1.0257e-09,
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5.8356e-10, 1.5279e-10], device='cuda:2', grad_fn=<SelectBackward0>)
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ζεηζ¦ηεεΈδΈΊ: {True: tensor(1.0000, device='cuda:2', grad_fn=<DivBackward0>), False: tensor(6.7577e-08, device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(5.9605e-08, device='cuda:2', grad_fn=<DivBackward0>)}
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[2024-10-24 10:45:17,276] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | optimizer_allgather: 1.40 | optimizer_gradients: 0.24 | optimizer_step: 0.31
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[2024-10-24 10:45:17,276] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward_microstep: 7131.30 | backward_microstep: 10620.68 | backward_inner_microstep: 6805.23 | backward_allreduce_microstep: 3815.35 | step_microstep: 7.67
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[2024-10-24 10:45:17,276] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward: 7131.31 | backward: 10620.67 | backward_inner: 6805.26 | backward_allreduce: 3815.34 | step: 7.68
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100%|ββββββββββ| 4826/4844 [20:04:01<04:14, 14.12s/it]Registering VQA_lavis step
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Registering EVAL step
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Registering RESULT step
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Registering VQA_lavis step
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Registering VQA_lavis step
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Registering EVAL step
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Registering RESULT step
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Registering EVAL step
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Registering RESULT step
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Registering VQA_lavis step
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ANSWER0=VQA(image=RIGHT,question='How many slim containers with a chrome top are in the image?')
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ANSWER1=EVAL(expr='{ANSWER0} <= 1')
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FINAL_ANSWER=RESULT(var=ANSWER1)
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Registering EVAL step
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Registering RESULT step
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ANSWER0=VQA(image=RIGHT,question='How many guinea pigs are on the ground?')
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ANSWER1=EVAL(expr='{ANSWER0} == 2')
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FINAL_ANSWER=RESULT(var=ANSWER1)
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ANSWER0=VQA(image=RIGHT,question='Are the oxen wearing decorative headgear?')
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FINAL_ANSWER=RESULT(var=ANSWER0)
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torch.Size([3, 3, 448, 448])
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ANSWER0=VQA(image=RIGHT,question='How many baby cheetahs are in the image?')
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ANSWER1=EVAL(expr='{ANSWER0} <= 2')
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FINAL_ANSWER=RESULT(var=ANSWER1)
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torch.Size([7, 3, 448, 448])
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torch.Size([13, 3, 448, 448])
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torch.Size([7, 3, 448, 448])
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question: ['Are the oxen wearing decorative headgear?'], responses:['no']
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[('no', 0.1313955057270409), ('yes', 0.12592208734904367), ('no smoking', 0.12472972590078177), ('gone', 0.12376514658020793), ('man', 0.12367833016285167), ('meow', 0.1235796378467502), ('kia', 0.12347643720898455), ('no clock', 0.12345312922433942)]
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[['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock']]
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torch.Size([3, 3, 448, 448]) knan debug pixel values shape
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question: ['How many slim containers with a chrome top are in the image?'], responses:['1']
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question: ['How many baby cheetahs are in the image?'], responses:['four']
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[('1', 0.12829009354978346), ('3', 0.12529928082343206), ('4', 0.12464806219229535), ('8', 0.12460015878893425), ('6', 0.12451220062887247), ('12', 0.124338487048427), ('2', 0.12420459433498025), ('47', 0.12410712263327517)]
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[['1', '3', '4', '8', '6', '12', '2', '47']]
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[('7 eleven', 0.12650899275575006), ('4', 0.125210025275264), ('first', 0.12483048280083887), ('3', 0.12473532336671392), ('5', 0.1247268629491862), ('dark', 0.12470563072493092), ('forward', 0.12466964370422237), ('bag', 0.12461303842309367)]
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[['7 eleven', '4', 'first', '3', '5', 'dark', 'forward', 'bag']]
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torch.Size([7, 3, 448, 448]) knan debug pixel values shape
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
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torch.Size([7, 3, 448, 448]) knan debug pixel values shape
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
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tensor([1.0000e+00, 7.6580e-09, 1.1978e-07, 1.7972e-11, 2.7787e-10, 5.2932e-09,
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1.8760e-10, 2.6106e-07], device='cuda:2', grad_fn=<SoftmaxBackward0>)
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no *************
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['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([1.0000e+00, 7.6580e-09, 1.1978e-07, 1.7972e-11, 2.7787e-10, 5.2932e-09,
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1.8760e-10, 2.6106e-07], device='cuda:2', grad_fn=<SelectBackward0>)
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question: ['How many guinea pigs are on the ground?'], responses:['1']
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ζεηζ¦ηεεΈδΈΊ: {True: tensor(7.6580e-09, device='cuda:2', grad_fn=<UnbindBackward0>), False: tensor(1.0000, device='cuda:2', grad_fn=<UnbindBackward0>), 'Execute Error': tensor(3.5763e-07, device='cuda:2', grad_fn=<SubBackward0>)}
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ANSWER0=VQA(image=RIGHT,question='Is the hog on the right image facing left?')
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ANSWER1=EVAL(expr='{ANSWER0}')
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FINAL_ANSWER=RESULT(var=ANSWER1)
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[('1', 0.12829009354978346), ('3', 0.12529928082343206), ('4', 0.12464806219229535), ('8', 0.12460015878893425), ('6', 0.12451220062887247), ('12', 0.124338487048427), ('2', 0.12420459433498025), ('47', 0.12410712263327517)]
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[['1', '3', '4', '8', '6', '12', '2', '47']]
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
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torch.Size([13, 3, 448, 448])
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
|
torch.Size([13, 3, 448, 448]) knan debug pixel values shape
|
dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
|
dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
|
dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
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dynamic ViT batch size: 7, images per sample: 7.0, dynamic token length: 1865
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tensor([1.0000e+00, 1.1131e-08, 2.3359e-09, 3.8800e-09, 2.4664e-09, 1.8633e-08,
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5.8389e-08, 3.5643e-10], device='cuda:0', grad_fn=<SoftmaxBackward0>)
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1 *************
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['1', '3', '4', '8', '6', '12', '2', '47'] tensor([1.0000e+00, 1.1131e-08, 2.3359e-09, 3.8800e-09, 2.4664e-09, 1.8633e-08,
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5.8389e-08, 3.5643e-10], device='cuda:0', grad_fn=<SelectBackward0>)
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question: ['Is the hog on the right image facing left?'], responses:['yes']
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ζεηζ¦ηεεΈδΈΊ: {True: tensor(1.0000, device='cuda:0', grad_fn=<DivBackward0>), False: tensor(9.7192e-08, device='cuda:0', grad_fn=<DivBackward0>), 'Execute Error': tensor(5.9605e-08, device='cuda:0', grad_fn=<DivBackward0>)}
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tensor([3.2896e-13, 1.7871e-01, 5.4938e-06, 8.2126e-01, 1.4001e-05, 1.7577e-06,
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8.7874e-06, 5.5257e-07], device='cuda:3', grad_fn=<SoftmaxBackward0>)
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3 *************
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['7 eleven', '4', 'first', '3', '5', 'dark', 'forward', 'bag'] tensor([3.2896e-13, 1.7871e-01, 5.4938e-06, 8.2126e-01, 1.4001e-05, 1.7577e-06,
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8.7874e-06, 5.5257e-07], device='cuda:3', grad_fn=<SelectBackward0>)
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ANSWER0=VQA(image=RIGHT,question='Is there a little girl holding a large dog in the image?')
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