JuliaPy / JuliaPy/PythonCall.jl

segmentation fault with multi-threading

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#219 25 comentarios 1 reacción 0 asignados Ver en GitHub
Lenguaje dominante
Julia
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1 d 22 h
PR fusionados (30 d)
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Descripción

I have this MWE, where I get segmentation faults (frequently, but not deterministically), when trying to run some script that uses multi-threading on the Julia side.

I have used before launching `ipython3`:

```bash
export JULIA_NUM_THREADS=4
```

(my computer has 4 cores - 8 threads).

The MWE is:

```python
Python 3.10.4 (main, Jun 29 2022, 12:14:53) [GCC 11.2.0]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.31.1 -- An enhanced Interactive Python. Type '?' for help.

In [1]: from juliacall import Main as jl

In [2]: import numpy as np

In [3]: jl.seval("""
...: function test(x)
...: partial = zeros(Threads.nthreads())
...: Threads.@threads for i in 1:Threads.nthreads()
...: for j in i:Threads.nthreads():length(x)
...: partial[i] += x[j]
...: end
...: end
...: return sum(partial)
...: end
...: """)
Out[3]: test (generic function with 1 method)

In [4]: x = np.random.random((10_000,))

In [5]: %timeit jl.test(x)
72.2 µs ± 35.9 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)

In [6]: %timeit jl.test(x)
Segmentation fault (core dumped)

```

Here I have emulated the error using the `%timeit` macro from `ipython`, but my actual error I get after some runs of a function of my package:

```python
In [1]: from juliacall import Main as jl

In [2]: jl.seval("using CellListMap")

In [3]: import numpy as np

In [5]: x = np.random.random((10_000,3))

In [6]: nb = jl.neighborlist(x.transpose(), 0.05)

In [7]: nb = jl.neighborlist(x.transpose(), 0.05)

In [8]: nb = jl.neighborlist(x.transpose(), 0.05)

In [9]: nb = jl.neighborlist(x.transpose(), 0.05)

In [10]: nb = jl.neighborlist(x.transpose(), 0.05)

In [11]: nb = jl.neighborlist(x.transpose(), 0.05)

In [12]: nb = jl.neighborlist(x.transpose(), 0.05)

In [13]: nb = jl.neighborlist(x.transpose(), 0.05)

In [14]: nb = jl.neighborlist(x.transpose(), 0.05)

In [15]: nb = jl.neighborlist(x.transpose(), 0.05)

In [16]: nb = jl.neighborlist(x.transpose(), 0.05)

In [17]: nb = jl.neighborlist(x.transpose(), 0.05)

In [18]: nb = jl.neighborlist(x.transpose(), 0.05)

In [19]: nb = jl.neighborlist(x.transpose(), 0.05)
Segmentation fault (core dumped)
```

`%timeit` runs the function multiple times, there seems to be some memory corruption, or memory overflow, causing the error.

Anyway, even if you have only some hint on how to debug this, I will be very thankful.

(even in the simplest example above, the segfaults only occur with multi-threading).

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Línea de trabajo

Start by reproducing the MWE from `from juliacall import Main as jl` with `JULIA_NUM_THREADS=4`, then compare repeated calls to `jl.test` under IPython `%timeit`. The issue is done when the threaded example and repeated `jl.neighborlist` calls no longer produce a segmentation fault, or the failure is isolated to a specific entry point.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
python
Área
backend
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
35/100

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