Comments (1)
Hi,
I have already identified the error, which is in the --nsamples flag. The correct way is to write --nsample. I just have made a pull request fixing this in the README file.
thanks.
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Related Issues (20)
- Question about constraint optimization
- All assm_labels are zero?
- how to convert the chembl checkpoint kept file to an binary format
- PicklingError("Can't pickle <class 'Boost.Python.ArgumentError'>: import of module 'Boost.Python failed")' HOT 7
- README error HOT 7
- IndexError: tuple index out of range HOT 12
- Getting error while running pip install . HOT 3
- TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first HOT 2
- TypeError: forward() missing 2 required positional arguments: 'y_orders' and 'beta' HOT 2
- AssertionError HOT 12
- Pretrained chembl model requires old rdkit HOT 2
- Some motifs in generated vocabulary are not parseable for rdkit
- Finetune result interpretation
- vocab size of data/chembl/vocab.txt: 5623, but when get_vocab.py the new vocab.txt is 5625 HOT 3
- ZeroDivisionError when size smaller than 1000 using single mode
- If anyone has done fine tuning, please share environment.yaml HOT 1
- Preprocess Error————————Broken pipe
- size mismatch when load chembl-pretrained ckpt
- Cant kekulize molecule while running get_vocab.py HOT 1
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