Comments (2)
For a dev install, you need to pip install packaging before being able to run the setup. We can't work around by just putting as a dep since the setup file itself uses packaging.
Note that this is documented in the README.
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Oh actually you're right, it's only mentioned for the dev install, will fix that today!
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Related Issues (20)
- AttributeError: type object 'Tensor' has no attribute 'as_subclass' HOT 2
- RuntimeError: imag is not implemented for tensors with non-complex dtypes. HOT 4
- Multi GPU Training for a unet_learner HOT 1
- nbdev_test_nbs do not work without a GPU HOT 2
- Can't nbdev_build_lib, File not found error HOT 7
- failed nbdev_build_lib, FileNotFoundError topnav.yml HOT 1
- Re-added `lang` to default tokenizer? HOT 1
- One must numericalize labels in FastAI2 metrics, unlike SKLearn metrics HOT 2
- README Needs to be refreshed HOT 1
- Split comment on PR in main.yaml HOT 2
- Not able to clone fastai-docs in my clone repo. HOT 5
- Learning rate finder breaks with pytorch DataLoader
- latest fastai2 v0.0.24 learner summary() RuntimeError: Input type (torch.cuda.FloatTensor) != weight type (torch.FloatTensor) HOT 1
- Have the ability to add our own type_tfms on test_dl HOT 3
- Cannot override tokenizer with TextBlock (tok_func does not exist as an argument anymore) HOT 1
- We might be able to "not" also fork `fastai-docs` HOT 1
- Does gradient clip in `to_fp16` really take effect ? HOT 1
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