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It is possible to speedup simulation by pre-compiling computationally intensive loops. For C++ core, the main bottlenecks are related to the contact solver, namely the decomposition of the mass matrix…
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We support fat builds of Python on macOS, in particular used for the "Universal 2" installers on macOS (``configure --enable-universalsdk --with-universal-archs=universal2``). This uses clang's builti…
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## 🐛 Bug
Here's a simplified version of LitGPT's LLaMAMoE without data-dependent shapes and it fails somewhere in the general jit:
```py
NotImplementedError: unpacking from OPAQUE ProvenanceReco…
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Poking around in `pyperf`, I see that it has some hardcoded options for whether a particular implementation has a JIT or not:
[_utils.py:192-200](https://github.com/psf/pyperf/blob/2b9591dcc5be2899…
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Currently the CustomFactor incurs about 100x performance drop because of the following:
1. Pybind11 translation costs
2. Python GIL, thus all multi-threading goes bust (TBB)
We should have a way …
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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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### Introduction to Numba
I recommend to use [Numba](http://numba.pydata.org/) to improve Python performance. Numba is a High Performance JIT compiler for the numerical Python. In general you do no…
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In Heptapod by @dl on Jul 20, 2023, 17:06
There is an unexpected None occurring in `metainterp.opencoder.TraceIterator`. This None likely also causes an observed SEGV in the interpreter built with rp…
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This issue serves as a backup of some ideas discussed in the Gitter room.
# Result caching in combination with Numba
## Premise
One clear application of numba is the speedup of costly computa…
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## ❓ Questions and Help
Hi silero team!
When i try to use silero-vad using python, I felt it is good.
But if i use silero-vad using c++, i got quite different result between python and c++.
I …