Datasets:
TMarcus
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InternVL

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ANSWER1=EVAL(expr='{ANSWER0} == 1')
FINAL_ANSWER=RESULT(var=ANSWER1)
torch.Size([3, 3, 448, 448])
torch.Size([3, 3, 448, 448])
tensor([1.0000e+00, 1.2502e-09, 3.2188e-07, 1.9697e-12, 2.4729e-12, 3.8731e-09,
5.9576e-11, 3.0539e-07], device='cuda:3', grad_fn=<SoftmaxBackward0>)
no *************
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([1.0000e+00, 1.2502e-09, 3.2188e-07, 1.9697e-12, 2.4729e-12, 3.8731e-09,
5.9576e-11, 3.0539e-07], device='cuda:3', grad_fn=<SelectBackward0>)
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: tensor(1.2502e-09, device='cuda:3', grad_fn=<DivBackward0>), False: tensor(1.0000, device='cuda:3', grad_fn=<DivBackward0>), 'Execute Error': tensor(7.1526e-07, device='cuda:3', grad_fn=<DivBackward0>)}
ANSWER0=VQA(image=RIGHT,question='Is the dog sitting down?')
FINAL_ANSWER=RESULT(var=ANSWER0)
torch.Size([7, 3, 448, 448])
question: ['Are the gloves on the right red in color?'], responses:['no']
question: ['How many chimps are in the image?'], responses:['5']
[('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([3, 3, 448, 448]) knan debug pixel values shape
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
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
question: ['Is the dog sitting down?'], 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: 837
dynamic ViT batch size: 3, images per sample: 3.0, dynamic token length: 837
tensor([1.0000e+00, 1.9556e-08, 2.6029e-07, 7.3184e-12, 1.1633e-11, 1.9555e-09,
2.7305e-10, 5.2187e-07], device='cuda:2', grad_fn=<SoftmaxBackward0>)
no *************
['no', 'yes', 'no smoking', 'gone', 'man', 'meow', 'kia', 'no clock'] tensor([1.0000e+00, 1.9556e-08, 2.6029e-07, 7.3184e-12, 1.1633e-11, 1.9555e-09,
2.7305e-10, 5.2187e-07], device='cuda:2', grad_fn=<SelectBackward0>)
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: tensor(1.9556e-08, device='cuda:2', grad_fn=<DivBackward0>), False: tensor(1.0000, device='cuda:2', grad_fn=<DivBackward0>), 'Execute Error': tensor(8.3447e-07, device='cuda:2', grad_fn=<DivBackward0>)}
tensor([7.9023e-01, 3.3631e-09, 2.0976e-01, 5.0630e-06, 1.3279e-07, 8.9959e-07,
5.1680e-08, 1.1718e-08], device='cuda:0', grad_fn=<SoftmaxBackward0>)
5 *************
['5', '8', '4', '6', '3', '7', '11', '9'] tensor([7.9023e-01, 3.3631e-09, 2.0976e-01, 5.0630e-06, 1.3279e-07, 8.9959e-07,
5.1680e-08, 1.1718e-08], device='cuda:0', grad_fn=<SelectBackward0>)
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {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>)}
tensor([1.0000e+00, 7.0364e-09, 7.2658e-08, 1.2086e-09, 1.3459e-11, 7.0933e-12,
5.7364e-11, 1.4435e-09], device='cuda:3', grad_fn=<SoftmaxBackward0>)
yes *************
['yes', 'congratulations', 'no', 'honey', 'solid', 'right', 'candle', 'chocolate'] tensor([1.0000e+00, 7.0364e-09, 7.2658e-08, 1.2086e-09, 1.3459e-11, 7.0933e-12,
5.7364e-11, 1.4435e-09], device='cuda:3', grad_fn=<SelectBackward0>)
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: tensor(1.0000, device='cuda:3', grad_fn=<UnbindBackward0>), False: tensor(7.2658e-08, device='cuda:3', grad_fn=<UnbindBackward0>), 'Execute Error': tensor(4.6551e-08, device='cuda:3', grad_fn=<SubBackward0>)}
[2024-10-24 10:49:25,976] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | optimizer_allgather: 1.36 | optimizer_gradients: 0.37 | optimizer_step: 0.35
[2024-10-24 10:49:25,976] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward_microstep: 5752.78 | backward_microstep: 8182.05 | backward_inner_microstep: 5463.08 | backward_allreduce_microstep: 2718.87 | step_microstep: 7.86
[2024-10-24 10:49:25,976] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward: 5752.78 | backward: 8182.04 | backward_inner: 5463.11 | backward_allreduce: 2718.85 | step: 7.89
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 4843/4844 [20:08:09<00:14, 14.81s/it]petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.