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835 lines (655 loc) · 15.8 KB
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#######################################################
# Copyright (c) 2019, 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
########################################################
"""
Module containing enums and other constants.
"""
import ctypes as ct
import os
import platform
import traceback
from enum import Enum
c_float_t = ct.c_float
c_double_t = ct.c_double
c_int_t = ct.c_int
c_uint_t = ct.c_uint
c_longlong_t = ct.c_longlong
c_ulonglong_t = ct.c_ulonglong
c_char_t = ct.c_char
c_bool_t = ct.c_bool
c_uchar_t = ct.c_ubyte
c_short_t = ct.c_short
c_ushort_t = ct.c_ushort
c_pointer = ct.pointer
c_void_ptr_t = ct.c_void_p
c_char_ptr_t = ct.c_char_p
c_size_t = ct.c_size_t
c_cast = ct.cast
class af_cfloat_t(ct.Structure):
_fields_ = [("real", ct.c_float), ("imag", ct.c_float)]
class af_cdouble_t(ct.Structure):
_fields_ = [("real", ct.c_double), ("imag", ct.c_double)]
AF_VER_MAJOR = '3'
FORGE_VER_MAJOR = '1'
# Work around for unexpected architectures
if 'c_dim_t_forced' in globals():
global c_dim_t_forced
c_dim_t = c_dim_t_forced
else:
# dim_t is long long by default
c_dim_t = c_longlong_t
# Change to int for 32 bit x86 and amr architectures
if (platform.architecture()[0][0:2] == '32' and
(platform.machine()[-2:] == '86' or
platform.machine()[0:3] == 'arm')):
c_dim_t = c_int_t
class ERR(Enum):
"""
Error values. For internal use only.
"""
NONE = 0
# 100-199 Errors in environment
NO_MEM = 101
DRIVER = 102
RUNTIME = 103
# 200-299 Errors in input parameters
INVALID_ARRAY = 201
ARG = 202
SIZE = 203
TYPE = 204
DIFF_TYPE = 205
BATCH = 207
DEVICE = 208
# 300-399 Errors for missing software features
NOT_SUPPORTED = 301
NOT_CONFIGURED = 302
NONFREE = 303
# 400-499 Errors for missing hardware features
NO_DBL = 401
NO_GFX = 402
NO_HALF = 403
# 500-599 Errors specific to the heterogeneous API
LOAD_LIB = 501
LOAD_SYM = 502
ARR_BKND_MISMATCH = 503
# 900-999 Errors from upstream libraries and runtimes
INTERNAL = 998
UNKNOWN = 999
class Dtype(Enum):
"""
Error values. For internal use only.
"""
f32 = 0
c32 = 1
f64 = 2
c64 = 3
b8 = 4
s32 = 5
u32 = 6
u8 = 7
s64 = 8
u64 = 9
s16 = 10
u16 = 11
f16 = 12
class Source(Enum):
"""
Source of the pointer
"""
device = 0
host = 1
class INTERP(Enum):
"""
Interpolation method
"""
NEAREST = 0
LINEAR = 1
BILINEAR = 2
CUBIC = 3
LOWER = 4
LINEAR_COSINE = 5
BILINEAR_COSINE = 6
BICUBIC = 7
CUBIC_SPLINE = 8
BICUBIC_SPLINE = 9
class PAD(Enum):
"""
Edge padding types
"""
ZERO = 0
SYM = 1
CLAMP_TO_EDGE = 2
PERIODIC = 3
class CONNECTIVITY(Enum):
"""
Neighborhood connectivity
"""
FOUR = 4
EIGHT = 8
class CONV_MODE(Enum):
"""
Convolution mode
"""
DEFAULT = 0
EXPAND = 1
class CONV_DOMAIN(Enum):
"""
Convolution domain
"""
AUTO = 0
SPATIAL = 1
FREQ = 2
class CONV_GRADIENT(Enum):
"""
Convolution gradient type
"""
DEFAULT = 0
FILTER = 1
DATA = 2
BIAS = 3
class MATCH(Enum):
"""
Match type
"""
"""
Sum of absolute differences
"""
SAD = 0
"""
Zero mean SAD
"""
ZSAD = 1
"""
Locally scaled SAD
"""
LSAD = 2
"""
Sum of squared differences
"""
SSD = 3
"""
Zero mean SSD
"""
ZSSD = 4
"""
Locally scaled SSD
"""
LSSD = 5
"""
Normalized cross correlation
"""
NCC = 6
"""
Zero mean NCC
"""
ZNCC = 7
"""
Sum of hamming distances
"""
SHD = 8
class YCC_STD(Enum):
"""
YCC Standard formats
"""
BT_601 = 601
BT_709 = 709
BT_2020 = 2020
class CSPACE(Enum):
"""
Colorspace formats
"""
GRAY = 0
RGB = 1
HSV = 2
YCbCr = 3
class MATPROP(Enum):
"""
Matrix properties
"""
"""
None, general.
"""
NONE = 0
"""
Transposed.
"""
TRANS = 1
"""
Conjugate transposed.
"""
CTRANS = 2
"""
Upper triangular matrix.
"""
UPPER = 32
"""
Lower triangular matrix.
"""
LOWER = 64
"""
Treat diagonal as units.
"""
DIAG_UNIT = 128
"""
Symmetric matrix.
"""
SYM = 512
"""
Positive definite matrix.
"""
POSDEF = 1024
"""
Orthogonal matrix.
"""
ORTHOG = 2048
"""
Tri diagonal matrix.
"""
TRI_DIAG = 4096
"""
Block diagonal matrix.
"""
BLOCK_DIAG = 8192
class NORM(Enum):
"""
Norm types
"""
VECTOR_1 = 0
VECTOR_INF = 1
VECTOR_2 = 2
VECTOR_P = 3
MATRIX_1 = 4
MATRIX_INF = 5
MATRIX_2 = 6
MATRIX_L_PQ = 7
EUCLID = VECTOR_2
class COLORMAP(Enum):
"""
Colormaps
"""
DEFAULT = 0
SPECTRUM = 1
COLORS = 2
RED = 3
MOOD = 4
HEAT = 5
BLUE = 6
class IMAGE_FORMAT(Enum):
"""
Image Formats
"""
BMP = 0
ICO = 1
JPEG = 2
JNG = 3
PNG = 13
PPM = 14
PPMRAW = 15
TIFF = 18
PSD = 20
HDR = 26
EXR = 29
JP2 = 31
RAW = 34
class HOMOGRAPHY(Enum):
"""
Homography Types
"""
RANSAC = 0
LMEDS = 1
class BACKEND(Enum):
"""
Backend libraries
"""
DEFAULT = 0
CPU = 1
CUDA = 2
OPENCL = 4
class MARKER(Enum):
"""
Markers used for different points in graphics plots
"""
NONE = 0
POINT = 1
CIRCLE = 2
SQUARE = 3
TRIANGE = 4
CROSS = 5
PLUS = 6
STAR = 7
class MOMENT(Enum):
"""
Image Moments types
"""
M00 = 1
M01 = 2
M10 = 4
M11 = 8
FIRST_ORDER = 15
class BINARYOP(Enum):
"""
Binary Operators
"""
ADD = 0
MUL = 1
MIN = 2
MAX = 3
class RANDOM_ENGINE(Enum):
"""
Random engine types
"""
PHILOX_4X32_10 = 100
THREEFRY_2X32_16 = 200
MERSENNE_GP11213 = 300
PHILOX = PHILOX_4X32_10
THREEFRY = THREEFRY_2X32_16
DEFAULT = PHILOX
class STORAGE(Enum):
"""
Matrix Storage types
"""
DENSE = 0
CSR = 1
CSC = 2
COO = 3
class CANNY_THRESHOLD(Enum):
"""
Canny Edge Threshold types
"""
MANUAL = 0
AUTO_OTSU = 1
class FLUX(Enum):
"""
Flux functions
"""
DEFAULT = 0
QUADRATIC = 1
EXPONENTIAL = 2
class DIFFUSION(Enum):
"""
Diffusion equations
"""
DEFAULT = 0
GRAD = 1
MCDE = 2
class TOPK(Enum):
"""
Top-K ordering
"""
DEFAULT = 0
MIN = 1
MAX = 2
class ITERATIVE_DECONV(Enum):
"""
Iterative deconvolution algorithm
"""
DEFAULT = 0
LANDWEBER = 1
RICHARDSONLUCY = 2
class INVERSE_DECONV(Enum):
"""
Inverse deconvolution algorithm
"""
DEFAULT = 0
TIKHONOV = 1
class VARIANCE(Enum):
"""
Variance bias type
"""
DEFAULT = 0
SAMPLE = 1
POPULATION = 2
AF_VER_MAJOR = "3"
FORGE_VER_MAJOR = "1"
_VER_MAJOR_PLACEHOLDER = "__VER_MAJOR__"
def _setup():
import platform
platform_name = platform.system()
try:
AF_PATH = os.environ["AF_PATH"]
except KeyError:
AF_PATH = None
AF_SEARCH_PATH = AF_PATH
try:
CUDA_PATH = os.environ["CUDA_PATH"]
except KeyError:
CUDA_PATH = None
CUDA_FOUND = False
assert len(platform_name) >= 3
if platform_name == "Windows" or platform_name[:3] == "CYG":
# Windows specific setup
pre = ""
post = ".dll"
if platform_name == "Windows":
# Supressing crashes caused by missing dlls
# http://stackoverflow.com/questions/8347266/missing-dll-print-message-instead-of-launching-a-popup
# https://msdn.microsoft.com/en-us/library/windows/desktop/ms680621.aspx
ct.windll.kernel32.SetErrorMode(0x0001 | 0x0002)
if AF_SEARCH_PATH is None:
AF_SEARCH_PATH = "C:/Program Files/ArrayFire/v" + AF_VER_MAJOR + "/"
if CUDA_PATH is not None:
CUDA_FOUND = os.path.isdir(CUDA_PATH + "/bin") and os.path.isdir(CUDA_PATH + "/nvvm/bin/")
elif platform_name == "Darwin":
# OSX specific setup
pre = "lib"
post = "." + _VER_MAJOR_PLACEHOLDER + ".dylib"
if AF_SEARCH_PATH is None:
if os.path.exists('/opt/arrayfire'):
AF_SEARCH_PATH = '/opt/arrayfire/'
else:
AF_SEARCH_PATH = '/usr/local/'
if CUDA_PATH is None:
CUDA_PATH = "/usr/local/cuda/"
CUDA_FOUND = os.path.isdir(CUDA_PATH + "/lib") and os.path.isdir(CUDA_PATH + "/nvvm/lib")
elif platform_name == "Linux":
pre = "lib"
post = ".so." + _VER_MAJOR_PLACEHOLDER
if AF_SEARCH_PATH is None:
AF_SEARCH_PATH = "/opt/arrayfire-" + AF_VER_MAJOR + "/"
if CUDA_PATH is None:
CUDA_PATH = "/usr/local/cuda/"
if platform.architecture()[0][:2] == "64":
CUDA_FOUND = os.path.isdir(CUDA_PATH + "/lib64") and os.path.isdir(CUDA_PATH + "/nvvm/lib64")
else:
CUDA_FOUND = os.path.isdir(CUDA_PATH + "/lib") and os.path.isdir(CUDA_PATH + "/nvvm/lib")
else:
raise OSError(platform_name + " not supported")
if AF_PATH is None:
os.environ["AF_PATH"] = AF_SEARCH_PATH
return pre, post, AF_SEARCH_PATH, CUDA_FOUND
class _clibrary(object):
def __libname(self, name, head="af", ver_major=AF_VER_MAJOR):
post = self.__post.replace(_VER_MAJOR_PLACEHOLDER, ver_major)
libname = self.__pre + head + name + post
if os.path.isdir(self.AF_PATH + '/lib64'):
libname_full = self.AF_PATH + '/lib64/' + libname
else:
libname_full = self.AF_PATH + '/lib/' + libname
return (libname, libname_full)
def set_unsafe(self, name):
lib = self.__clibs[name]
if lib is None:
raise RuntimeError("Backend not found")
self.__name = name
def __init__(self):
more_info_str = "Please look at https://github.com/arrayfire/arrayfire-python/wiki for more information."
pre, post, AF_PATH, CUDA_FOUND = _setup()
self.__pre = pre
self.__post = post
self.AF_PATH = AF_PATH
self.CUDA_FOUND = CUDA_FOUND
self.__name = None
self.__clibs = {
"cuda": None,
"opencl": None,
"cpu": None,
"unified": None}
self.__backend_map = {
0: "unified",
1: "cpu",
2: "cuda",
4: "opencl"}
self.__backend_name_map = {
"default": 0,
"unified": 0,
"cpu": 1,
"cuda": 2,
"opencl": 4}
# Try to pre-load forge library if it exists
libnames = self.__libname("forge", head="", ver_major=FORGE_VER_MAJOR)
try:
VERBOSE_LOADS = os.environ["AF_VERBOSE_LOADS"] == "1"
except KeyError:
VERBOSE_LOADS = False
for libname in libnames:
try:
ct.cdll.LoadLibrary(libname)
if VERBOSE_LOADS:
print("Loaded " + libname)
break
except OSError:
if VERBOSE_LOADS:
traceback.print_exc()
print("Unable to load " + libname)
c_dim4 = c_dim_t*4
out = c_void_ptr_t(0)
dims = c_dim4(10, 10, 1, 1)
# Iterate in reverse order of preference
for name in {"cpu", "opencl", "cuda", ""}:
libnames = self.__libname(name)
for libname in libnames:
try:
ct.cdll.LoadLibrary(libname)
__name = "unified" if name == "" else name
clib = ct.CDLL(libname)
self.__clibs[__name] = clib
err = clib.af_randu(c_pointer(out), 4, c_pointer(dims), Dtype.f32.value)
if err != ERR.NONE.value:
return
self.__name = __name
clib.af_release_array(out)
if VERBOSE_LOADS:
print("Loaded " + libname)
break
except OSError:
if VERBOSE_LOADS:
traceback.print_exc()
print("Unable to load " + libname)
if self.__name is None:
raise RuntimeError("Could not load any ArrayFire libraries.\n" + more_info_str)
def get_id(self, name):
return self.__backend_name_map[name]
def get_name(self, bk_id):
return self.__backend_map[bk_id]
def get(self):
return self.__clibs[self.__name]
def name(self):
return self.__name
def is_unified(self):
return self.__name == "unified"
def parse(self, res):
lst = []
for key, value in self.__backend_name_map.items():
if value & res:
lst.append(key)
return tuple(lst)
backend = _clibrary()
def set_backend(name, unsafe=False):
"""
Set a specific backend by name
Parameters
----------
name : str.
unsafe : optional: bool. Default: False.
If False, does not switch backend if current backend is not unified backend.
"""
if not (backend.is_unified() or unsafe):
raise RuntimeError("Can not change backend to %s after loading %s" % (name, backend.name()))
if backend.is_unified():
safe_call(backend.get().af_set_backend(backend.get_id(name)))
backend.set_unsafe(name)
def get_backend():
"""
Return the name of the backend
"""
return backend.name()
def get_backend_id(A):
"""
Get backend name of an array
Parameters
----------
A : af.Array
Returns
----------
name : str.
Backend name
"""
backend_id = c_int_t(BACKEND.CPU.value)
safe_call(backend.get().af_get_backend_id(c_pointer(backend_id), A.arr))
return backend.get_name(backend_id.value)
def get_backend_count():
"""
Get number of available backends
Returns
----------
count : int
Number of available backends
"""
count = c_int_t(0)
safe_call(backend.get().af_get_backend_count(c_pointer(count)))
return count.value
def get_available_backends():
"""
Get names of available backends
Returns
----------
names : tuple of strings
Names of available backends
"""
available = c_int_t(0)
safe_call(backend.get().af_get_available_backends(c_pointer(available)))
return backend.parse(int(available.value))
def get_active_backend():
"""
Get the current active backend
name : str.
Backend name
"""
backend_id = c_int_t(BACKEND.CPU.value)
safe_call(backend.get().af_get_active_backend(c_pointer(backend_id)))
return backend.get_name(backend_id.value)
def get_device_id(A):
"""
Get the device id of the array
Parameters
----------
A : af.Array
Returns
----------
dev : Integer
id of the device array was created on
"""
device_id = c_int_t(0)
safe_call(backend.get().af_get_device_id(c_pointer(device_id), A.arr))
return device_id
def get_size_of(dtype):
"""
Get the size of the type represented by arrayfire.Dtype
"""
size = c_size_t(0)
safe_call(backend.get().af_get_size_of(c_pointer(size), dtype.value))
return size.value
def safe_call(af_error):
if af_error == ERR.NONE.value:
return
err_str = c_char_ptr_t(0)
err_len = c_dim_t(0)
backend.get().af_get_last_error(c_pointer(err_str), c_pointer(err_len))
raise RuntimeError(to_str(err_str))
def to_str(c_str):
return str(c_str.value.decode('utf-8'))