text stringlengths 0 1.16k |
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FINAL_ANSWER=RESULT(var=ANSWER1) |
torch.Size([7, 3, 448, 448]) |
torch.Size([5, 3, 448, 448]) |
torch.Size([13, 3, 448, 448]) |
torch.Size([13, 3, 448, 448]) |
question: ['Is there a paper poking out of the dispenser?'], responses:['no'] |
[('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)] |
[['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock']] |
torch.Size([5, 3, 448, 448]) knan debug pixel values shape |
question: ['Is the puppy'], responses:['Yes'] |
[('yes', 0.1298617250866936), ('congratulations', 0.12464161604141298), ('no', 0.12445222599225532), ('honey', 0.12437056445881921), ('solid', 0.12422595371654564), ('right', 0.12419889376311324), ('candle', 0.12414264780165109), ('chocolate', 0.12410637313950891)] |
[['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate']] |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
question: ['How many primates are in the image?'], responses:['15'] |
question: ['How many graduation students are in the image?'], responses:['20'] |
[('15', 0.12850265658859292), ('14', 0.12554598114685298), ('13', 0.12491622450863256), ('16', 0.12450938797787274), ('29', 0.12444750181633149), ('35', 0.12413627702798803), ('22', 0.12400388658176363), ('21', 0.12393808435196574)] |
[['15', '14', '13', '16', '29', '35', '22', '21']] |
[('20', 0.12771895156791702), ('21', 0.12586912554208884), ('22', 0.12503044546440548), ('26', 0.12459144863554222), ('30', 0.1243482131473721), ('48', 0.12418849501124658), ('27', 0.12415656019926104), ('28', 0.12409676043216668)] |
[['20', '21', '22', '26', '30', '48', '27', '28']] |
torch.Size([13, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
torch.Size([13, 3, 448, 448]) knan debug pixel values shape |
tensor([5.8204e-01, 4.1700e-01, 1.4912e-04, 1.7008e-04, 7.7581e-05, 1.2380e-04, |
2.4286e-04, 1.9438e-04], device='cuda:3', grad_fn=<SoftmaxBackward0>) |
no ************* |
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([5.8204e-01, 4.1700e-01, 1.4912e-04, 1.7008e-04, 7.7581e-05, 1.2380e-04, |
2.4286e-04, 1.9438e-04], device='cuda:3', grad_fn=<SelectBackward0>) |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0.4170, device='cuda:3', grad_fn=<DivBackward0>), False: tensor(0.5820, device='cuda:3', grad_fn=<DivBackward0>), 'Execute Error': tensor(0.0010, device='cuda:3', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=LEFT,question='How many golf balls are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 3') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
torch.Size([7, 3, 448, 448]) |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
tensor([0.6001, 0.0450, 0.3314, 0.0049, 0.0016, 0.0038, 0.0017, 0.0115], |
device='cuda:1', grad_fn=<SoftmaxBackward0>) |
yes ************* |
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([0.6001, 0.0450, 0.3314, 0.0049, 0.0016, 0.0038, 0.0017, 0.0115], |
device='cuda:1', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0.6001, device='cuda:1', grad_fn=<DivBackward0>), False: tensor(0.3314, device='cuda:1', grad_fn=<DivBackward0>), 'Execute Error': tensor(0.0685, device='cuda:1', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=LEFT,question='Is the dog in the image on the left lying down?') |
FINAL_ANSWER=RESULT(var=ANSWER0) |
torch.Size([7, 3, 448, 448]) |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
question: ['How many golf balls are in the image?'], responses:['1'] |
[('1', 0.12829009354978346), ('3', 0.12529928082343206), ('4', 0.12464806219229535), ('8', 0.12460015878893425), ('6', 0.12451220062887247), ('12', 0.124338487048427), ('2', 0.12420459433498025), ('47', 0.12410712263327517)] |
[['1', '3', '4', '8', '6', '12', '2', '47']] |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
question: ['Is the dog in the image on the left lying down?'], responses:['no'] |
[('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)] |
[['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock']] |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3397 |
tensor([0.2330, 0.1436, 0.1872, 0.1791, 0.0516, 0.0339, 0.0890, 0.0826], |
device='cuda:0', grad_fn=<SoftmaxBackward0>) |
15 ************* |
['15', '14', '13', '16', '29', '35', '22', '21'] tensor([0.2330, 0.1436, 0.1872, 0.1791, 0.0516, 0.0339, 0.0890, 0.0826], |
device='cuda:0', grad_fn=<SelectBackward0>) |
tensor([0.2905, 0.0983, 0.1132, 0.1036, 0.1872, 0.0379, 0.0786, 0.0907], |
device='cuda:2', grad_fn=<SoftmaxBackward0>) |
20 ************* |
['20', '21', '22', '26', '30', '48', '27', '28'] tensor([0.2905, 0.0983, 0.1132, 0.1036, 0.1872, 0.0379, 0.0786, 0.0907], |
device='cuda:2', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0., device='cuda:0', grad_fn=<MulBackward0>), False: tensor(1., device='cuda:0', grad_fn=<DivBackward0>), 'Execute Error': tensor(0., device='cuda:0', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=RIGHT,question='How many bottles are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 3') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0., device='cuda:2', grad_fn=<MulBackward0>), False: tensor(1., device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(0., device='cuda:2', grad_fn=<DivBackward0>)} |
tensor([7.4644e-01, 2.7050e-02, 7.7500e-03, 1.3889e-03, 2.3754e-03, 1.0852e-03, |
2.1386e-01, 5.6739e-05], device='cuda:3', grad_fn=<SoftmaxBackward0>) |
1 ************* |
['1', '3', '4', '8', '6', '12', '2', '47'] tensor([7.4644e-01, 2.7050e-02, 7.7500e-03, 1.3889e-03, 2.3754e-03, 1.0852e-03, |
2.1386e-01, 5.6739e-05], device='cuda:3', grad_fn=<SelectBackward0>) |
ANSWER0=VQA(image=RIGHT,question='How many cheetahs are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 1') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0.0270, device='cuda:3', grad_fn=<DivBackward0>), False: tensor(0.9730, device='cuda:3', grad_fn=<DivBackward0>), 'Execute Error': tensor(-1.1921e-07, device='cuda:3', grad_fn=<DivBackward0>)} |
torch.Size([7, 3, 448, 448]) |
torch.Size([13, 3, 448, 448]) |
tensor([4.9931e-01, 4.9932e-01, 3.9459e-05, 1.4012e-04, 8.7528e-05, 6.8428e-04, |
3.9246e-04, 2.8880e-05], device='cuda:1', grad_fn=<SoftmaxBackward0>) |
yes ************* |
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([4.9931e-01, 4.9932e-01, 3.9459e-05, 1.4012e-04, 8.7528e-05, 6.8428e-04, |
3.9246e-04, 2.8880e-05], device='cuda:1', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0.4993, device='cuda:1', grad_fn=<UnbindBackward0>), False: tensor(0.4993, device='cuda:1', grad_fn=<UnbindBackward0>), 'Execute Error': tensor(0.0014, device='cuda:1', grad_fn=<SubBackward0>)} |
question: ['How many cheetahs are in the image?'], responses:['1'] |
[('1', 0.12829009354978346), ('3', 0.12529928082343206), ('4', 0.12464806219229535), ('8', 0.12460015878893425), ('6', 0.12451220062887247), ('12', 0.124338487048427), ('2', 0.12420459433498025), ('47', 0.12410712263327517)] |
[['1', '3', '4', '8', '6', '12', '2', '47']] |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
question: ['How many bottles are in the image?'], responses:['1'] |
[('1', 0.12829009354978346), ('3', 0.12529928082343206), ('4', 0.12464806219229535), ('8', 0.12460015878893425), ('6', 0.12451220062887247), ('12', 0.124338487048427), ('2', 0.12420459433498025), ('47', 0.12410712263327517)] |
[['1', '3', '4', '8', '6', '12', '2', '47']] |
torch.Size([13, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3396 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3396 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3396 |
tensor([5.4855e-01, 8.9549e-02, 2.2641e-02, 3.3115e-03, 6.5861e-03, 1.7998e-03, |
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