运行 librosa &树莓派 3 上的麻木 [英] running librosa & numba on raspberry pi 3

问题描述

我正在尝试在我的 raspberry pi 3 上运行 librosa.经过几个小时的互联网搜索，我终于能够安装它，但是当我尝试导入它时仍然会引发错误.首先，我在安装依赖项 llvmlite 时遇到了问题.我最终使用以下代码安装了它:conda install -c numba llvmlite.我使用带有 miniconda 的 python 3.4 构建.

I am trying to run librosa on my raspberry pi 3. After hours of searching through the internet I was finally able to install it but it still throws an error when I try to import it. First, I had problems to install the dependency llvmlite. I finally installed it with the following code: conda install -c numba llvmlite. I use python 3.4 build with miniconda.

安装 llvmlite 后，我可以使用 pip 安装 librosa(无法使用 conda)

After llvmlite was installed I was able to install librosa with pip (not possible with conda)

pi@raspberrypi:~ $ pip install librosa
Collecting librosa
Using cached https://www.piwheels.hostedpi.com/simple/librosa/librosa-
0.5.1-py3-none-any.whl
Requirement already satisfied: resampy>=0.1.2 in 
./miniconda3/lib/python3.4/site-packages (from librosa)
Requirement already satisfied: scipy>=0.13.0 in 
...
Installing collected packages: librosa
Successfully installed librosa-0.5.1

显然安装了 librosa.

Apparently librosa is installed.

pi@raspberrypi:~ $ pip list
DEPRECATION: The default format will switch to columns in the future. 
You can use --format=(legacy|columns) (or define a format=
(legacy|columns) in your pip.conf under the [list] section) to disable 
this warning.
anaconda-client (1.0.2)
audioread (2.1.5)
awscli (1.11.170)
boto3 (1.4.7)
botocore (1.7.28)
clyent (0.4.0)
colorama (0.3.7)
conda (3.16.0)
conda-env (2.4.2)
Cython (0.27.1)
decorator (4.1.2)
docutils (0.14)
jmespath (0.9.3)
joblib (0.11)
librosa (0.5.1)
llvmlite (0.7.0.dev0+21.gcda19bd.dirty)
mock (2.0.0)
numba (0.35.0)
numpy (1.13.3)
pbr (3.1.1)
Pillow (2.9.0)
pip (9.0.1)
protobuf (3.4.0)
pyasn1 (0.3.7)
PyAudio (0.2.11)
pycosat (0.6.1)
pycrypto (2.6.1)    
python-dateutil (2.6.1)
pytz (2015.4)
PyYAML (3.12)
requests (2.7.0)
resampy (0.2.0)
rsa (3.4.2)
s3transfer (0.1.11)
scikit-learn (0.18.2)
scipy (0.19.1)
setuptools (18.1)
six (1.11.0)
tensorflow (1.1.0)
Werkzeug (0.12.2)
wheel (0.30.0)

尝试导入 librosa 会引发以下错误:

Trying to import librosa throws the following error though:

pi@raspberrypi:~ $ python
Python 3.4.3 |Continuum Analytics, Inc.| (default, Aug 21 2015, 00:53:08) 
[GCC 4.6.3] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import librosa
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/pi/miniconda3/lib/python3.4/site-packages/librosa/__init__.py", line 12, in <module>
    from . import core
  File "/home/pi/miniconda3/lib/python3.4/site-packages/librosa/core/__init__.py", line 108, in <module>
    from .time_frequency import *  # pylint: disable=wildcard-import
  File "/home/pi/miniconda3/lib/python3.4/site-packages/librosa/core/time_frequency.py", line 10, in <module>
    from ..util.exceptions import ParameterError
  File "/home/pi/miniconda3/lib/python3.4/site-packages/librosa/util/__init__.py", line 70, in <module>
    from . import decorators
  File "/home/pi/miniconda3/lib/python3.4/site-packages/librosa/util/decorators.py", line 67, in <module>
    from numba.decorators import jit as optional_jit
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/__init__.py", line 12, in <module>
    from .special import typeof, prange
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/special.py", line 4, in <module>
    from .parfor import prange
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/parfor.py", line 20, in <module>
    from numba import array_analysis, postproc, typeinfer
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/array_analysis.py", line 9, in <module>
    from numba import ir, analysis, types, config, cgutils, typing
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/cgutils.py", line 22, in <module>
    true_bit = bool_t(1)
TypeError: 'IntType' object is not callable
>>> 

尝试导入 numba 会抛出以下错误:

Trying to import numba throws the following error:

pi@raspberrypi:~ $ python
Python 3.4.3 |Continuum Analytics, Inc.| (default, Aug 21 2015, 00:53:08) 
[GCC 4.6.3] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numba
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/__init__.py", line 12, in <module>
    from .special import typeof, prange
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/special.py", line 4, in <module>
    from .parfor import prange
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/parfor.py", line 20, in <module>
    from numba import array_analysis, postproc, typeinfer
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/array_analysis.py", line 9, in <module>
    from numba import ir, analysis, types, config, cgutils, typing
  File "/home/pi/miniconda3/lib/python3.4/site-packages/numba/cgutils.py", line 22, in <module>
    true_bit = bool_t(1)
TypeError: 'IntType' object is not callable
>>> 

有没有人知道问题可能是什么?我很感激任何提示或提示.谢谢！！！！！！

Has anyone a clue what the problem could be? I am grateful for any hints or tips. Thank you!!!!!

推荐答案

在撰写本文时，最新的 Raspbian 版本有 llvm-3.8，因此根据 this github comment 你需要安装 llvmlite v0.15.0 和 numba v0.30.1.如果您在不同的 llvm 上，那么您将需要探索 llvmlite 和 numba 的版本与该版本的 llvm 一起使用.以下是让我设置成功 import librosa 的命令:

As of writing, the latest Raspbian release has llvm-3.8, so per this github comment you need to install llvmlite v0.15.0 with numba v0.30.1. If you're on a different llvm then you will need to explore what versions of llvmlite and numba to use with that version of llvm. Here are the commands that got me set up to get a successful import librosa:

sudo apt install libblas-dev llvm python3-pip python3-scipy
virtualenv --system-site-packages -p python3 env
source env/bin/activate
pip install llvmlite==0.15.0
pip install numba==0.30.1
pip install librosa

注意我正在使用 virtualenv 并从系统包中拖入 scipy 和 numpy，否则很难获得 fortran &c 依赖项加上那些需要很长时间才能在 RPi 上编译的依赖项.如果要在系统范围内安装，请删除第 2 行和第 3 行并将 sudo 放在 pip 命令前面.我还在这个 requirements.txt 文件中冻结了我的要求，因此如果您下载该文件，则可以运行一个命令 pip install -r requirements.txt

Note I'm using virtualenv and dragging in scipy and numpy from the system packages, otherwise it's hard to get the fortran & c dependencies right plus those take ages to compile on a RPi. If you want to install system-wide then drop the 2nd and 3rd line and put sudo in front of the pip commands. I've also frozen my requirements in this requirements.txt file so if you download that then you can run a single command pip install -r requirements.txt

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