course-v3 | The 3rd edition of course.fast.ai | Machine Learning library
kandi X-RAY | course-v3 Summary
kandi X-RAY | course-v3 Summary
The 3rd edition of course.fast.ai
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of course-v3
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QUESTION
I am attempting to use a new NLP model within the PyTorch android demo app Demo App Git however I am struggling to serialize the model so that it works with Android.
The demonstration given by PyTorch is as follows for a Resnet model:
...ANSWER
Answered 2020-May-21 at 03:40I worked out how to do this after a while. The issue was that the Fastai model wasn't tracing correctly no matter what shape of input I was using.
In the end, I used another text classification model and got it to work. I wrote a tutorial about how I did it, in case it can help anyone else.
Begin by opening a new Jupyter Python Notebook using your preferred cloud machine provider (I use Paperspace).
Next, copy and run the code in the PyTorch Text Classification tutorial. But replace the line…
QUESTION
In the course fast.ai 2019 lesson 8, there is a weird g attribute used in back propagation, which i check for torch.Tensor this attribute doesn't exist. I tried to print the value of inp.g/out.g in call method but i got AttributeError: 'Tensor' object has no attribute 'g', but i am able to obtain the inp.g/out.g value before the assignment in backward, how does this g attribute works?
...ANSWER
Answered 2020-Apr-26 at 11:39basically this has to deal with how python assignments works (pointers, similar to how C pointers works). after tracing the variables with id(variable name) i am able to figure out how things the g attribute comeby.
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