Comments (3)
After the attached PR lands, you should rerun python setup.py install
and it will fetch the latest version.
from translate.
I actually tested installation from scratch and it seems to work. I'm not sure we want to pin to 0.5.
I assume what happened here was that you did a git pull on translate and didn't update fairseq?
@HaraldKorneliussen, does this work for you (once you're in the conda env): pip uninstall -y pytorch-translate fairseq
, then python3 setup.py build develop
?
from translate.
I did a git pull on translate, yes. I did get it to work by building fairseq as well from source and installing that for development (with python3 setup.py build develop there). There was no fairseq-0.5.0 that conda could find. If I run
pip uninstall -y pytorch-translate fairseq
and
python3 setup.py build develop
(in the translate directory), it installs fairseq 0.4.0:
Processing dependencies for pytorch-translate==0.1
Searching for fairseq==0.4.0
Best match: fairseq 0.4.0
Processing fairseq-0.4.0-py3.6-linux-x86_64.egg
Adding fairseq 0.4.0 to easy-install.pth file
I can't find fairseq-0.5.0 in egg form anywhere. I have to install it from source and building it for development (in the miniconda environment).
from translate.
Related Issues (20)
- Hybrid model performance HOT 1
- Syntax Error while running the training command HOT 1
- Training Knowledge distillation with model trained on Fairseq HOT 1
- ONNX export not working HOT 5
- Unable to import onxx
- Exporting model status
- pytorch
- While running pretrained model(IWSLT 2014) , observed below errors HOT 4
- Cannot import 'latent_var_criterion' HOT 1
- How can I export a single Onnx?
- No more libcaffe2.so to link
- Are there any example of deep fusion? HOT 1
- nccl no more downloadable
- NameError: name 'LevenshteinTransformerModel' is not defined HOT 3
- unrecognized arguments: --batched-beam
- beam search HOT 2
- depricated functions HOT 4
- obtain alignment/attention information HOT 1
- Cannot load pretrained model HOT 1
- Replacing Hardswish to alternative activation function
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