Datasets:
TMarcus
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InternVL

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Registering RESULT step
Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
ANSWER0=VQA(image=LEFT,question='How many bottles of soda are in the image?')
ANSWER1=VQA(image=RIGHT,question='How many bottles of soda are in the image?')
ANSWER2=EVAL(expr='{ANSWER0} + {ANSWER1} <= 4')
FINAL_ANSWER=RESULT(var=ANSWER2)
ANSWER0=VQA(image=LEFT,question='Does at least one puppy have white hair around its mouth?')
ANSWER1=VQA(image=RIGHT,question='Does at least one puppy have white hair around its mouth?')
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
torch.Size([7, 3, 448, 448])
ANSWER0=VQA(image=RIGHT,question='How many birds are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} == 1')
FINAL_ANSWER=RESULT(var=ANSWER1)
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
ANSWER0=VQA(image=RIGHT,question='Is the train painted yellow in the front?')
ANSWER1=EVAL(expr='{ANSWER0}')
FINAL_ANSWER=RESULT(var=ANSWER1)
torch.Size([3, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
ANSWER0=VQA(image=LEFT,question='Is one of the soda bottles green?')
ANSWER1=VQA(image=RIGHT,question='Is one of the soda bottles green?')
ANSWER2=EVAL(expr='{ANSWER0} xor {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
ANSWER0=VQA(image=RIGHT,question='How many stingrays are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} == 2')
FINAL_ANSWER=RESULT(var=ANSWER1)
torch.Size([1, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
torch.Size([13, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
torch.Size([7, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
torch.Size([13, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
ANSWER0=VQA(image=LEFT,question='Are some dogs moving forward?')
ANSWER1=VQA(image=RIGHT,question='Are some dogs moving forward?')
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
torch.Size([7, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
ANSWER0=VQA(image=LEFT,question='How many pizzas are in the image?')
ANSWER1=VQA(image=RIGHT,question='How many pizzas are in the image?')
ANSWER2=EVAL(expr='{ANSWER0} == 2 and {ANSWER1} == 2')
FINAL_ANSWER=RESULT(var=ANSWER2)
torch.Size([13, 3, 448, 448])
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer'
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
ζœ€εŽηš„ζ¦‚ηŽ‡εˆ†εΈƒδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998}
[2024-10-22 17:08:11,402] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | optimizer_allgather: 38.26 | optimizer_gradients: 0.37 | optimizer_step: 0.32
[2024-10-22 17:08:11,402] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward_microstep: 262.77 | backward_microstep: 1.67 | backward_inner_microstep: 0.62 | backward_allreduce_microstep: 0.96 | step_microstep: 82.70
[2024-10-22 17:08:11,402] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward: 262.79 | backward: 1.67 | backward_inner: 0.63 | backward_allreduce: 0.97 | step: 82.71
0%| | 3/26352 [00:13<23:39:32, 3.23s/it]Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
ANSWER0=VQA(image=RIGHT,question='How many dogs are in the image?')
ANSWER1=EVAL(expr='{ANSWER0} == 7')
FINAL_ANSWER=RESULT(var=ANSWER1)
Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
Registering VQA_lavis step
Registering EVAL step
Registering RESULT step
ANSWER0=VQA(image=LEFT,question='Is there a folded paper towel in the image?')
ANSWER1=VQA(image=RIGHT,question='Is there a folded paper towel in the image?')
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
ANSWER0=VQA(image=LEFT,question='Are there any dark red hand warmers in the image?')
ANSWER1=VQA(image=RIGHT,question='Are there any dark red hand warmers in the image?')
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
ANSWER0=VQA(image=LEFT,question='Is there a human present with jellyfish in the image?')
ANSWER1=VQA(image=RIGHT,question='Is there a human present with jellyfish in the image?')
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}')
FINAL_ANSWER=RESULT(var=ANSWER2)
torch.Size([5, 3, 448, 448])