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I am creating a 2D numpy array with a mix of ints and floats:
```python
import numpy as np
from numba import jit
@njit
def fj():
return np.array([[1, 2.1],[0,1]])
fj()
```
It fail…
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When importing unsloth executable is created, but when running it, It throws:
OSError: could not get source code
and exits.
Full log:
```
Traceback (most recent call last):
File "D:\Projec…
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I would like to try a method simple and fast like PAGA_tree, but this error reoccured multiple times.
/usr/local/lib/python3.7/site-packages/umap/rp_tree.py:450: NumbaWarning:
Compilation is fall…
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Base on recent [main](https://github.com/numba/numba/commit/39f03307113eaf76f0b1308cfbe0c8bf78a5c3e9) branch.
LLVM MCJIT do not release memory of finalized object:
code to demonstrate MCJIT …
sklam updated
2 years ago
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在执行训练命令时报错了。
命令：!python3.8 finetune_speaker_v2.py -m "./OUTPUT_MODEL" --max_epochs 1000 --drop_speaker_embed True
报错日志：
`INFO:OUTPUT_MODEL:{'train': {'log_interval': 10, 'eval_interval': 100, 'se…
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Regarding a numba cuda vectorize function, if I pass for arguments, all arrays of the same size, then I can get expected behavior, but if I pass some arrays and some scalars, it appears that under t…
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## Reporting a bug
Trying to convert an array of floats to an array of integers with numpy.int32(x) or numba.int32(x) givse a NotImplementedError. I would like to use the array of integers …
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Just to have this documented some where.
Currently we're testing simulation a city of 600.000 inhabitants from 6 to 23 o'clock that all take on average ~3.73 trips in that time period. Of those ~2.…
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## Feature request
Profiling Numba compilation time shows that must of the time is spent in Python object overheads (not LLVM compilation). Seems like Cython offers an incremental way to conv…
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Quick summary of some light exploration I've done profiling numba+numbast versus raw CUDA C++ kernels, as motivated by #12; put together a minimal version of one of the tests:
```python
import num…