/usr/lib/python3/dist-packages/arrayfire/__init__.py is in python3-arrayfire 3.3.20160624-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | #######################################################
# Copyright (c) 2015, ArrayFire
# All rights reserved.
#
# This file is distributed under 3-clause BSD license.
# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################
"""
ArrayFire is a high performance scientific computing library with an easy to use API.
>>> # Monte Carlo estimation of pi
>>> def calc_pi_device(samples):
# Simple, array based API
# Generate uniformly distributed random numers
x = af.randu(samples)
y = af.randu(samples)
# Supports Just In Time Compilation
# The following line generates a single kernel
within_unit_circle = (x * x + y * y) < 1
# Intuitive function names
return 4 * af.count(within_unit_circle) / samples
Programs written using ArrayFire are portable across CUDA, OpenCL and CPU devices.
The default backend is chosen in the following order of preference based on the available libraries:
1. CUDA
2. OpenCL
3. CPU
The backend can be chosen at the beginning of the program by using the following function
>>> af.backend.set(name)
where name is one of 'cuda', 'opencl' or 'cpu'.
The functionality provided by ArrayFire spans the following domains:
1. Vector Algorithms
2. Image Processing
3. Signal Processing
4. Computer Vision
5. Linear Algebra
6. Statistics
"""
try:
import pycuda.autoinit
except:
pass
from .library import *
from .array import *
from .data import *
from .util import *
from .algorithm import *
from .device import *
from .blas import *
from .arith import *
from .statistics import *
from .lapack import *
from .signal import *
from .image import *
from .features import *
from .vision import *
from .graphics import *
from .bcast import *
from .index import *
from .interop import *
from .timer import *
# do not export default modules as part of arrayfire
del ct
del inspect
del numbers
del os
if (AF_NUMPY_FOUND):
del np
|