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import os
import subprocess
from ctypes import cdll, c_double, c_float, sizeof
from tempfile import TemporaryDirectory
from pystencils.backends.cbackend import printCCode
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import numpy as np
CONFIG_GCC = {
'compiler': 'g++',
'flags': '-Ofast -DNDEBUG -fPIC -shared -march=native -fopenmp',
}
CONFIG_INTEL = {
'compiler': '/software/intel/2017/bin/icpc',
'flags': '-Ofast -DNDEBUG -fPIC -shared -march=native -fopenmp -Wl,-rpath=/software/intel/2017/lib/intel64',
'env': {
'INTEL_LICENSE_FILE': '1713@license4.rrze.uni-erlangen.de',
'LM_PROJECT': 'iwia',
}
}
CONFIG_CLANG = {
'compiler': 'clang++',
'flags': '-Ofast -DNDEBUG -fPIC -shared -march=native -fopenmp',
}
CONFIG = CONFIG_INTEL
def ctypeFromString(typename, includePointers=True):
import ctypes as ct
typename = typename.replace("*", " * ")
typeComponents = typename.split()
basicTypeMap = {
'double': ct.c_double,
'float': ct.c_float,
'int': ct.c_int,
'long': ct.c_long,
}
resultType = None
for typeComponent in typeComponents:
typeComponent = typeComponent.strip()
if typeComponent == "const" or typeComponent == "restrict" or typeComponent == "volatile":
continue
if typeComponent in basicTypeMap:
resultType = basicTypeMap[typeComponent]
elif typeComponent == "*" and includePointers:
assert resultType is not None
resultType = ct.POINTER(resultType)
return resultType
def ctypeFromNumpyType(numpyType):
typeMap = {
np.dtype('float64'): c_double,
np.dtype('float32'): c_float,
}
return typeMap[numpyType]
def compileAndLoad(kernelFunctionNode):
with TemporaryDirectory() as tmpDir:
srcFile = os.path.join(tmpDir, 'source.cpp')
with open(srcFile, 'w') as sourceFile:
print('#include <iostream>', file=sourceFile)
print("#include <cmath>", file=sourceFile)
print('extern "C" { ', file=sourceFile)
print(printCCode(kernelFunctionNode), file=sourceFile)
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print('}', file=sourceFile)
compilerCmd = [CONFIG['compiler']] + CONFIG['flags'].split()
libFile = os.path.join(tmpDir, "jit.so")
compilerCmd += [srcFile, '-o', libFile]
configEnv = CONFIG['env'] if 'env' in CONFIG else {}
env = os.environ.copy()
env.update(configEnv)
subprocess.call(compilerCmd, env=env)
showAssembly = False
if showAssembly:
assemblyFile = os.path.join(tmpDir, "assembly.s")
compilerCmd = [CONFIG['compiler'], '-S', '-o', assemblyFile, srcFile] + CONFIG['flags'].split()
subprocess.call(compilerCmd, env=env)
assembly = open(assemblyFile, 'r').read()
kernelFunctionNode.assembly = assembly
loadedJitLib = cdll.LoadLibrary(libFile)
return loadedJitLib
def buildCTypeArgumentList(kernelFunctionNode, argumentDict):
ctArguments = []
for arg in kernelFunctionNode.parameters:
if arg.isFieldArgument:
field = argumentDict[arg.fieldName]
if arg.isFieldPtrArgument:
ctArguments.append(field.ctypes.data_as(ctypeFromString(arg.dtype)))
elif arg.isFieldShapeArgument:
dataType = ctypeFromString(arg.dtype, includePointers=False)
ctArguments.append(field.ctypes.shape_as(dataType))
elif arg.isFieldStrideArgument:
dataType = ctypeFromString(arg.dtype, includePointers=False)
baseFieldType = ctypeFromNumpyType(field.dtype)
strides = field.ctypes.strides_as(dataType)
for i in range(len(field.shape)):
assert strides[i] % sizeof(baseFieldType) == 0
strides[i] //= sizeof(baseFieldType)
ctArguments.append(strides)
else:
assert False
else:
param = argumentDict[arg.name]
expectedType = ctypeFromString(arg.dtype)
ctArguments.append(expectedType(param))
return ctArguments
def makePythonFunctionIncompleteParams(kernelFunctionNode, argumentDict):
func = compileAndLoad(kernelFunctionNode)[kernelFunctionNode.functionName]
func.restype = None
def wrapper(**kwargs):
from copy import copy
fullArguments = copy(argumentDict)
fullArguments.update(kwargs)
args = buildCTypeArgumentList(kernelFunctionNode, fullArguments)
func(*args)
return wrapper
def makePythonFunction(kernelFunctionNode, argumentDict={}):
"""
Creates C code from the abstract syntax tree, compiles it and makes it accessible as Python function
The parameters of the kernel are:
- numpy arrays for each field used in the kernel. The keyword argument name is the name of the field
- all symbols which are not defined in the kernel itself are expected as parameters
:param kernelFunctionNode: the abstract syntax tree
:param argumentDict: parameters passed here are already fixed. Remaining parameters have to be passed to the
returned kernel functor.
:return: kernel functor
"""
# build up list of CType arguments
try:
args = buildCTypeArgumentList(kernelFunctionNode, argumentDict)
except KeyError:
# not all parameters specified yet
return makePythonFunctionIncompleteParams(kernelFunctionNode, argumentDict)
func = compileAndLoad(kernelFunctionNode)[kernelFunctionNode.functionName]
func.restype = None
return lambda: func(*args)