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Thanks for Numba and all your support. It's been invaluable to me in optimizing specific bits of python code. :+1:
`numba.vectorize` doesn't compile a ufunc in object mode properly, specifically u…
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## Feature request
## Reporting a bug
- [*] I am using the latest released version of Numba (most recent is visible in
the change log (https://github.com/numba/numba/blob/master/CH…
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The use of `numba.jit` without the `nopython=True` kwarg means that the compiler can fall back to object mode (this pattern is being deprecated) and as a result of this the performance of the compiled…
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Having trouble with supporting libraries/modules that are installed along side Clifford. Please see errors below.
C:\Users\rashe\AppData\Local\Programs\Python\Python39\Scripts>pip3 install cliff…
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It's better to have a performance docs focusing on CuPy, like as we did for [Chainer Performance Best Practices](https://docs.chainer.org/en/latest/performance.html).
* Rewriting for-loop to "numpy…
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I upgraded to Fedora 33, which uses python 3.9, and I reinstalled numba 0.51.2 and uwsift 1.1.3. When I run SIFT, the numba.jit decorator on uwsift/view/tile_calculator.get_reference_points complai…
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I got the following error message when I used the @jit decorator on the function below the error message. This is not the biggest deal but it said to report it so I did.
Traceback (most rec…
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Here are the most interesting of the faster-Python implementations. Caveat emptor. Obviously our requirements include a robust implementation with NumPy and Linux compatibility.
- [Numba](http://nu…
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## Feature request
Any respectable compiler has options for levels of code optimalisation and / or debug mode, that can disable `assert` statements. The `assert` statements are very powerful tools …
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The Cython implementation of the Euler integrator is 30x slower than equivalent vectorised Matlab code. It is also extremely limited and only allows for a linear damage model with no damping. It is im…