Datasets:
TMarcus
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InternVL

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torch.Size([3, 3, 448, 448])
torch.Size([13, 3, 448, 448])
question: ['How many rolls of paper towels are in the image?'], responses:['ไบ”']
[('b', 0.13191356159599515), ('goose', 0.1293021784561415), ('geese', 0.12735223987123176), ('cushion', 0.12364316067995791), ('y', 0.12254057047812728), ('k', 0.12209438419566433), ('am', 0.12163540389422718), ('f', 0.12151850082865487)]
[['b', 'goose', 'geese', 'cushion', 'y', 'k', 'am', 'f']]
torch.Size([1, 3, 448, 448]) knan debug pixel values shape
question: ['Is there anyone standing outside near the machines?'], 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([3, 3, 448, 448]) knan debug pixel values shape
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 837
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 837
tensor([2.8936e-06, 2.7080e-01, 5.7510e-02, 6.6988e-01, 1.3770e-03, 2.6784e-04,
1.5135e-04, 9.2198e-06], device='cuda:1', grad_fn=<SoftmaxBackward0>)
cushion *************
['b', 'goose', 'geese', 'cushion', 'y', 'k', 'am', 'f'] tensor([2.8936e-06, 2.7080e-01, 5.7510e-02, 6.6988e-01, 1.3770e-03, 2.6784e-04,
1.5135e-04, 9.2198e-06], device='cuda:1', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(0., device='cuda:1', grad_fn=<MulBackward0>), False: tensor(0., device='cuda:1', grad_fn=<MulBackward0>), 'Execute Error': tensor(1., device='cuda:1', grad_fn=<DivBackward0>)}
ANSWER0=VQA(image=RIGHT,question='How many antelopes are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} == 5')
FINAL_ANSWER=RESULT(var=ANSWER1)
torch.Size([7, 3, 448, 448])
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 838
question: ['Is there at least one person standing outside the hut?'], 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']]
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 837
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 837
torch.Size([7, 3, 448, 448]) knan debug pixel values shape
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 838
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 838
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 838
tensor([1.0000e+00, 8.0571e-09, 4.1373e-07, 1.4196e-08, 1.6850e-07, 5.7817e-07,
2.3867e-08, 2.8290e-07], device='cuda:0', grad_fn=<SoftmaxBackward0>)
no *************
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([1.0000e+00, 8.0571e-09, 4.1373e-07, 1.4196e-08, 1.6850e-07, 5.7817e-07,
2.3867e-08, 2.8290e-07], device='cuda:0', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(8.0571e-09, device='cuda:0', grad_fn=<DivBackward0>), False: tensor(1.0000, device='cuda:0', grad_fn=<DivBackward0>), 'Execute Error': tensor(1.4305e-06, device='cuda:0', grad_fn=<DivBackward0>)}
ANSWER0=VQA(image=RIGHT,question='Is the baby seal lying down?')
FINAL_ANSWER=RESULT(var=ANSWER0)
question: ['Are seats available in the reading area?'], responses:['no']
question: ['How many antelopes are in the image?'], responses:['5']
torch.Size([13, 3, 448, 448])
[('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']]
[('5', 0.12793059870235002), ('8', 0.12539646467821697), ('4', 0.12509737486793587), ('6', 0.12470234839853608), ('3', 0.12467331676337925), ('7', 0.12441254825093238), ('11', 0.12401867309944531), ('9', 0.12376867523920407)]
[['5', '8', '4', '6', '3', '7', '11', '9']]
torch.Size([7, 3, 448, 448]) knan debug pixel values shape
torch.Size([13, 3, 448, 448]) knan debug pixel values shape
tensor([1.0000e+00, 4.0604e-09, 2.2160e-08, 1.4097e-08, 5.5781e-11, 2.2637e-09,
1.0583e-10, 1.8795e-09], device='cuda:2', grad_fn=<SoftmaxBackward0>)
yes *************
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([1.0000e+00, 4.0604e-09, 2.2160e-08, 1.4097e-08, 5.5781e-11, 2.2637e-09,
1.0583e-10, 1.8795e-09], device='cuda:2', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(1., device='cuda:2', grad_fn=<DivBackward0>), False: tensor(2.2160e-08, device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(-2.2160e-08, device='cuda:2', grad_fn=<DivBackward0>)}
question: ['Is the baby seal lying down?'], responses:['yes']
ANSWER0=VQA(image=LEFT,question='How many chimpanzees are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} >= 3')
FINAL_ANSWER=RESULT(var=ANSWER1)
[('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])
torch.Size([13, 3, 448, 448]) knan debug pixel values shape
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395
tensor([9.8108e-01, 4.2994e-07, 1.1129e-06, 1.7057e-02, 1.7202e-11, 1.8595e-03,
7.1876e-08, 2.1579e-07], device='cuda:1', grad_fn=<SoftmaxBackward0>)
5 *************
['5', '8', '4', '6', '3', '7', '11', '9'] tensor([9.8108e-01, 4.2994e-07, 1.1129e-06, 1.7057e-02, 1.7202e-11, 1.8595e-03,
7.1876e-08, 2.1579e-07], device='cuda:1', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(0.9811, device='cuda:1', grad_fn=<DivBackward0>), False: tensor(0.0189, device='cuda:1', grad_fn=<DivBackward0>), 'Execute Error': tensor(0., device='cuda:1', grad_fn=<DivBackward0>)}
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3398
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395
question: ['How many chimpanzees are in the image?'], responses:['2']
[('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']]
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3396
torch.Size([13, 3, 448, 448]) knan debug pixel values shape
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395
tensor([1.0000e+00, 2.9067e-09, 4.3136e-07, 8.7774e-11, 2.9336e-10, 7.8155e-09,
8.7227e-10, 1.5257e-07], device='cuda:3', grad_fn=<SoftmaxBackward0>)
no *************
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([1.0000e+00, 2.9067e-09, 4.3136e-07, 8.7774e-11, 2.9336e-10, 7.8155e-09,
8.7227e-10, 1.5257e-07], device='cuda:3', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(2.9067e-09, device='cuda:3', grad_fn=<DivBackward0>), False: tensor(1.0000, device='cuda:3', grad_fn=<DivBackward0>), 'Execute Error': tensor(5.9605e-07, device='cuda:3', grad_fn=<DivBackward0>)}
ANSWER0=VQA(image=RIGHT,question='How many seals are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} <= 2')
FINAL_ANSWER=RESULT(var=ANSWER1)
dynamic ViT batch size: 13, images per sample: 13.0, dynamic token length: 3395
torch.Size([13, 3, 448, 448])
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([1.0000e+00, 1.2690e-08, 5.6671e-11, 1.2502e-08, 9.4860e-11, 1.6398e-10,
7.0418e-11, 7.4762e-09], device='cuda:0', grad_fn=<SoftmaxBackward0>)
yes *************
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([1.0000e+00, 1.2690e-08, 5.6671e-11, 1.2502e-08, 9.4860e-11, 1.6398e-10,
7.0418e-11, 7.4762e-09], device='cuda:0', grad_fn=<SelectBackward0>)
ๆœ€ๅŽ็š„ๆฆ‚็Ž‡ๅˆ†ๅธƒไธบ: {True: tensor(1., device='cuda:0', grad_fn=<UnbindBackward0>), False: tensor(5.6671e-11, device='cuda:0', grad_fn=<UnbindBackward0>), 'Execute Error': tensor(-5.6671e-11, device='cuda:0', grad_fn=<SubBackward0>)}
question: ['How many seals 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']]