Comments (2)
RishikMani
commented on September 26, 2024
1
This also is happening for me and I cannot understand the logic behind this statement. Has anyone been able to solve this issue?
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RishikMani
commented on September 26, 2024
1
This also is happening for me and I cannot understand the logic behind this statement. Has anyone been able to solve this issue?
I was able to resolve the issue. The reason was that I had far lesser number of images as compared to the batch_size. I had around 20 images with a bacth_size of 64. So unfortunately the statement
if len(current_batch) == args.batch_size:
never returned True and thus the h5py dataset never got created. I updated my batch_size to 10 and I had it resolved.
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Related Issues (20)
- error while trying to save predictions in output_h5 HOT 1
- Loss calculation !!
- 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?
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- Undefined variable
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