text stringlengths 0 1.16k |
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[['7 eleven', 'babies', 'sunrise', 'eating', 'feet', 'candle', 'light', 'floating']] |
torch.Size([3, 3, 448, 448]) knan debug pixel values shape |
tensor([9.8757e-01, 1.2432e-02, 4.9437e-07, 3.3961e-07, 2.4317e-10, 7.2032e-08, |
1.1596e-09, 2.2010e-07], device='cuda:1', grad_fn=<SoftmaxBackward0>) |
3 ************* |
['3', '4', '1', '5', '8', '2', '6', '12'] tensor([9.8757e-01, 1.2432e-02, 4.9437e-07, 3.3961e-07, 2.4317e-10, 7.2032e-08, |
1.1596e-09, 2.2010e-07], device='cuda:1', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(1.0000, device='cuda:1', grad_fn=<DivBackward0>), False: tensor(5.6112e-07, device='cuda:1', grad_fn=<DivBackward0>), 'Execute Error': tensor(0., device='cuda:1', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=RIGHT,question='How many colognes are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 1') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
torch.Size([13, 3, 448, 448]) |
tensor([1.3809e-10, 4.2030e-01, 2.8145e-01, 1.2382e-04, 2.8992e-01, 3.4996e-04, |
3.6073e-03, 4.2459e-03], device='cuda:3', grad_fn=<SoftmaxBackward0>) |
babies ************* |
['7 eleven', 'babies', 'sunrise', 'eating', 'feet', 'candle', 'light', 'floating'] tensor([1.3809e-10, 4.2030e-01, 2.8145e-01, 1.2382e-04, 2.8992e-01, 3.4996e-04, |
3.6073e-03, 4.2459e-03], device='cuda:3', grad_fn=<SelectBackward0>) |
question: ['How many yellow breasted birds are in the image?'], responses:['2'] |
question: ['Is the dog situated in the grass?'], responses:['yes'] |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0., device='cuda:3', grad_fn=<MulBackward0>), False: tensor(0., device='cuda:3', grad_fn=<MulBackward0>), 'Execute Error': tensor(1., device='cuda:3', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=RIGHT,question='Is there a person in the image?') |
ANSWER1=EVAL(expr='{ANSWER0}') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
[('2', 0.12961991198727602), ('3', 0.12561270547489775), ('4', 0.12556127085987287), ('1', 0.1254920833223361), ('5', 0.12407835939022728), ('8', 0.124024076973589), ('7', 0.12288810153923228), ('29', 0.12272349045256851)] |
[['2', '3', '4', '1', '5', '8', '7', '29']] |
torch.Size([7, 3, 448, 448]) |
[('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([13, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
torch.Size([13, 3, 448, 448]) knan debug pixel values shape |
question: ['How many colognes are in the image?'], responses:['1'] |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
[('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']] |
question: ['Is there a person in the image?'], 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([13, 3, 448, 448]) knan debug pixel values shape |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
tensor([1.0000e+00, 9.4062e-09, 5.8759e-11, 4.3011e-08, 2.6038e-09, 6.5878e-10, |
1.4618e-10, 3.3295e-09], device='cuda:3', grad_fn=<SoftmaxBackward0>) |
yes ************* |
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([1.0000e+00, 9.4062e-09, 5.8759e-11, 4.3011e-08, 2.6038e-09, 6.5878e-10, |
1.4618e-10, 3.3295e-09], device='cuda:3', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(1., device='cuda:3', grad_fn=<DivBackward0>), False: tensor(5.8759e-11, device='cuda:3', grad_fn=<DivBackward0>), 'Execute Error': tensor(-5.8759e-11, device='cuda:3', grad_fn=<DivBackward0>)} |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3399 |
tensor([1.0000e+00, 7.2658e-08, 1.7160e-07, 2.6315e-08, 3.6954e-10, 1.3867e-08, |
2.9065e-09, 3.4381e-09], device='cuda:0', grad_fn=<SoftmaxBackward0>) |
2 ************* |
['2', '3', '4', '1', '5', '8', '7', '29'] tensor([1.0000e+00, 7.2658e-08, 1.7160e-07, 2.6315e-08, 3.6954e-10, 1.3867e-08, |
2.9065e-09, 3.4381e-09], device='cuda:0', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(1., device='cuda:0', grad_fn=<DivBackward0>), False: tensor(0., device='cuda:0', grad_fn=<MulBackward0>), 'Execute Error': tensor(0., device='cuda:0', grad_fn=<DivBackward0>)} |
tensor([1.0000e+00, 7.2540e-09, 4.3884e-10, 3.5112e-08, 2.4615e-10, 3.8127e-10, |
1.1013e-10, 3.4507e-08], device='cuda:2', grad_fn=<SoftmaxBackward0>) |
yes ************* |
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([1.0000e+00, 7.2540e-09, 4.3884e-10, 3.5112e-08, 2.4615e-10, 3.8127e-10, |
1.1013e-10, 3.4507e-08], device='cuda:2', grad_fn=<SelectBackward0>) |
ANSWER0=VQA(image=RIGHT,question='Is the parrot flying?') |
FINAL_ANSWER=RESULT(var=ANSWER0) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(1.0000, device='cuda:2', grad_fn=<DivBackward0>), False: tensor(4.3884e-10, device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(1.1877e-07, device='cuda:2', grad_fn=<DivBackward0>)} |
ANSWER0=VQA(image=RIGHT,question='How many flasks are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 4') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
torch.Size([7, 3, 448, 448]) |
torch.Size([13, 3, 448, 448]) |
tensor([1.0000e+00, 4.8718e-10, 1.3489e-10, 3.3385e-10, 2.5102e-10, 2.3583e-08, |
6.1535e-09, 8.5692e-10], device='cuda:1', grad_fn=<SoftmaxBackward0>) |
1 ************* |
['1', '3', '4', '8', '6', '12', '2', '47'] tensor([1.0000e+00, 4.8718e-10, 1.3489e-10, 3.3385e-10, 2.5102e-10, 2.3583e-08, |
6.1535e-09, 8.5692e-10], device='cuda:1', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(1., device='cuda:1', grad_fn=<DivBackward0>), False: tensor(3.1800e-08, device='cuda:1', grad_fn=<DivBackward0>), 'Execute Error': tensor(0., device='cuda:1', grad_fn=<DivBackward0>)} |
question: ['How many flasks are in the image?'], responses:['three'] |
[('3', 0.12564628944193332), ('more', 0.1253768648644513), ('7 eleven', 0.12519263002756062), ('black and gray', 0.12517655214461534), ('gray and black', 0.12483489483302915), ('black and blue', 0.1247689819920107), ('gray and white', 0.12459201108525625), ('short', 0.12441177561114328)] |
[['3', 'more', '7 eleven', 'black and gray', 'gray and black', 'black and blue', 'gray and white', 'short']] |
torch.Size([7, 3, 448, 448]) knan debug pixel values shape |
question: ['Is the parrot flying?'], 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([13, 3, 448, 448]) knan debug pixel values shape |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3394 |
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: 3394 |
tensor([9.9941e-01, 1.0953e-11, 1.9735e-13, 2.0966e-05, 3.4034e-04, 2.2273e-05, |
2.0510e-04, 3.6817e-06], device='cuda:2', grad_fn=<SoftmaxBackward0>) |
3 ************* |
['3', 'more', '7 eleven', 'black and gray', 'gray and black', 'black and blue', 'gray and white', 'short'] tensor([9.9941e-01, 1.0953e-11, 1.9735e-13, 2.0966e-05, 3.4034e-04, 2.2273e-05, |
2.0510e-04, 3.6817e-06], device='cuda:2', grad_fn=<SelectBackward0>) |
ζεηζ¦ηεεΈδΈΊ: {True: tensor(0., device='cuda:2', grad_fn=<MulBackward0>), False: tensor(0.9994, device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(0.0006, device='cuda:2', grad_fn=<DivBackward0>)} |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3394 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3394 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395 |
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395 |
tensor([1.0000e+00, 1.0171e-08, 6.3222e-11, 5.0317e-08, 4.6747e-10, 2.5004e-10, |
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