Comments (5)
manoja328
commented on June 29, 2024
1
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:
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suddu22
commented on June 29, 2024
1
Hi
Use the code in the repo with no modification. Setup the environment as given in the readme.
Just make sure that your torch version is the one specified in the requirements.txt, your torchvision version is 0.1.9 and your python version is 3.5.2.
Hope it helps.
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olivernina
commented on June 29, 2024
that worked for me thanks manoja328
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manoja328
commented on June 29, 2024
Hi,
Its in the file
https://github.com/facebookresearch/clevr-iep/blob/master/scripts/run_model.py
in line 276 .. The preds variable is the answers.
_, preds = scores.data.cpu().max(1)
all_programs.append(programs_pred.data.cpu().clone())
all_scores.append(scores.data.cpu().clone())
all_probs.append(probs.data.cpu().clone())
.........
Best,
Manoj
…On Fri, Oct 20, 2017 at 10:05 AM, Victoria2333 ***@***.***> wrote:
@manoja328 <https://github.com/manoja328>,do you know how to compute test
accuracy?coz there is no test answer in dataset,i don't know how to do
it,and thanks very much~~~
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manoja328
commented on June 29, 2024
Hi,
Its in the file https://github.com/facebookresearch/clevr-iep/
blob/master/scripts/run_model.py in line 276 .. The preds variable is the
answers.
_, preds = scores.data.cpu().max(1)
all_programs.append(programs_pred.data.cpu().clone())
all_scores.append(scores.data.cpu().clone())
all_probs.append(probs.data.cpu().clone())
.........
Best,
Manoj
…On Fri, Oct 20, 2017 at 10:05 AM, Victoria2333 ***@***.***> wrote:
@manoja328 <https://github.com/manoja328>,do you know how to compute test
accuracy?coz there is no test answer in dataset,i don't know how to do
it,and thanks very much~~~
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<#17 (comment)>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/AE7OR2S26SDfsNY4q0CrenhcP_ww9CmKks5suKiRgaJpZM4PDrfq>
.
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Related Issues (20)
- error while trying to save predictions in output_h5 HOT 1
- Loss calculation !!
- NoneType HOT 2
- a possible typo! HOT 9
- IndexError! HOT 1
- RuntimeError: inconsistent tensor size HOT 2
- 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] HOT 2
- torch-0.1.11.post5-cp35-cp35m-linux_x86_64.whl is not a supported wheel on this platform. HOT 2
- File "clevr-iep/iep/models/seq2seq.py", line 57, in get_dims T_out = y.size(1) if y is not None else None HOT 1
- RuntimeError: CUDA error: out of memory for GTX 1080 Ti HOT 1
- ValueError: unrecognized program format HOT 3
- Unable to download CLEVR dataset HOT 5
- IndexError:too many indices for tensor of dimension 1 HOT 16
- line 81, in __getitem__\n fn_str = self.vocab[\'program_idx_to_token\'][fn_idx]\nKeyError: tensor(1)\n' HOT 2
- RuntimeError: CuDNN error: CUDNN_STATUS_SUCCESS HOT 1
- Question: A list of program modules HOT 1
- KeyError: 'function' not found HOT 1
- Training data is incomplete?
- Are there other ways to get results on test set?
- Undefined variable
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