RuntimeError: expand(torch.LongTensor{[1, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2) at seq2seq.py, line 183, in reinforce_sample y[:, t][not_done] = cur_output_data[not_done]

[TimeCracker]

Hi there, when I ran the scripts as instructed, I got the RuntimeError. Below are the details:
python3 scripts/run_model.py --program_generator models/CLEVR/program_generator_18k.pt --execution_engine models/CLEVR/execution_engine_18k.pt --image img/CLEVR_val_000013.png --question "Does the small sphere have the same color as the cube left of the gray cube?"

Loading program generator from models/CLEVR/program_generator_18k.pt
Loading execution engine from models/CLEVR/execution_engine_18k.pt
Loading CNN for feature extraction
Running the model

/home/pyp/clevr-iep-master/iep/models/seq2seq.py:172: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
probs = F.softmax(logprobs.view(N, -1)) # Now N x V
Traceback (most recent call last):
File "scripts/run_model.py", line 303, in
main(args)
File "scripts/run_model.py", line 85, in main
run_single_example(args, model)
File "scripts/run_model.py", line 161, in run_single_example
argmax=(args.sample_argmax == 1))
File "/home/pyp/clevr-iep-master/iep/models/seq2seq.py", line 183, in reinforce_sample
y[:, t][not_done] = cur_output_data[not_done]
RuntimeError: expand(torch.LongTensor{[1, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)

============================================================================
I used python 3.5 and pytorch 0.4.
At first, I got RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1) at seq2seq.py, line 57, in get_dims
T_out = y.size(1) if y is not None else None
After i change seq2seq model line 173
if argmax:
_, cur_output = probs.max(1)
else:

to

if argmax:
_, cur_output = probs.max(1)
cur_output = cur_output.unsqueeze(0)
else:

as commented by manoja328, I got the RuntimeError in the title: RuntimeError: expand(torch.LongTensor{[1, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2) at seq2seq.py, line 183, in reinforce_sample y[:, t][not_done] = cur_output_data[not_done]

Thank you!

[1245994042]

Hi
I have the same issue.
Did you figure out how to fix it? Thanks!

[preet1881]

Hi
I am having the same issue, i am using macOS platform for pycharm, so cuda is not available , did you find any solution for this?
Thank you