Comments (8)
@muellerzr Yes, this worked with fastai 2.1.8 and with the installation from Pypi. Thank you.
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Related to: #21
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This is the installation: pip install fastinference fastinference[interp]
. And I noticed that for fastai 2.1.15 it works fine. But with 2.1.7 I get an error while testing with Github Actions (fresh installation every time).
Fastai 2.1.7 throws errors:
- model summary cannot be printed, again
- dicom file cannot be read. (fastai/fastai#3032)
- AttributeError: module 'fastinference' has no attribute 'tabular'
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The first two are unrelated, this project is separate from fastai.
You're also installing wrong, it should just be pip install fastinference[interp]
.
That being said there is some bugs going on so install via:
pip install git+https://github.com/muellerzr/fastinference#egg=fastinference[interp]
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It worked with the dev version of fastinference. Thanks!
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@muellerzr Hi. Should we clone fastinference from Github every time or it will be on PyPI soon?
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Can you go ahead and try now? It seems I tried to make a release at some point but doesn't look like it went through
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Related Issues (20)
- TypeError: waterfall() got an unexpected keyword argument 'feature_names' HOT 5
- NameError: name 'cat_names' is not defined HOT 2
- can't import fastinference.onnx HOT 4
- ONNX import error
- Torchvision models do not seem to support `dynamic_axes` in ONNX export HOT 1
- Embedding gradients not being computed for intrinsic attention
- New fastai inference API HOT 3
- ModuleAttributeError: 'SequentialRNN' object has no attribute 'intrinsic_attention' HOT 2
- TypeError: requires_grad_() takes 1 positional argument but 2 were given HOT 11
- The onnx-cpu extra is installing fastai2 HOT 1
- feature importance returns a ModuleAttributeError HOT 1
- Error importing interpretation module
- Fix ONNX issues
- pip install fastinference[interp] doesn't work HOT 3
- Testme
- Testme
- Remove package from results, alternative option
- Returning N top predictions HOT 2
- Can't run notebooks
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