14. Ctypes model evaluator¶
sasmodels.kerneldll
¶
DLL driver for C kernels
If the environment variable SAS_OPENMP is set, then sasmodels will attempt to compile with OpenMP flags so that the model can use all available kernels. This may or may not be available on your compiler toolchain. Depending on operating system and environment.
Windows does not have provide a compiler with the operating system. Instead, we assume that TinyCC is installed and available. This can be done with a simple pip command if it is not already available:
pip install tinycc
If Microsoft Visual C++ is available (because VCINSTALLDIR is defined in the environment), then that will be used instead. Microsoft Visual C++ for Python is available from Microsoft:
If neither compiler is available, sasmodels will check for MinGW, the GNU compiler toolchain. This available in packages such as Anaconda and PythonXY, or available stand alone. This toolchain has had difficulties on some systems, and may or may not work for you.
You can control which compiler to use by setting SAS_COMPILER in the environment:
- tinycc (Windows): use the TinyCC compiler shipped with SasView
- msvc (Windows): use the Microsoft Visual C++ compiler
- mingw (Windows): use the MinGW GNU cc compiler
- unix (Linux): use the system cc compiler.
- unix (Mac): use the clang compiler. You will need XCode installed, and the XCode command line tools. Mac comes with OpenCL drivers, so generally this will not be needed.
Both msvc and mingw require that the compiler is available on your path. For msvc, this can done by running vcvarsall.bat in a windows terminal. Install locations are system dependent, such as:
C:Program Files (x86)Common FilesMicrosoftVisual C++ for Python9.0vcvarsall.bat
or maybe
C:UsersyournameAppDataLocalProgramsCommonMicrosoftVisual C++ for Python9.0vcvarsall.bat
OpenMP for msvc requires the Microsoft vcomp90.dll library, which doesn’t seem to be included with the compiler, nor does there appear to be a public download location. There may be one on your machine already in a location such as:
C:Windowswinsxsx86_microsoft.vc90.openmp*vcomp90.dll
If you copy this to somewhere on your path, such as the python directory or the install directory for this application, then OpenMP should be supported.
For full control of the compiler, define a function compile_command(source,output) which takes the name of the source file and the name of the output file and returns a compile command that can be evaluated in the shell. For even more control, replace the entire compile(source,output) function.
The global attribute ALLOW_SINGLE_PRECISION_DLLS should be set to False if you wish to prevent single precision floating point evaluation for the compiled models, otherwise set it defaults to True.
-
class
sasmodels.kerneldll.
DllKernel
(kernel, model_info, q_input)¶ Bases:
sasmodels.kernel.Kernel
Callable SAS kernel.
kernel is the c function to call.
model_info is the module information
q_input is the DllInput q vectors at which the kernel should be evaluated.
The resulting call method takes the pars, a list of values for the fixed parameters to the kernel, and pd_pars, a list of (value, weight) vectors for the polydisperse parameters. cutoff determines the integration limits: any points with combined weight less than cutoff will not be calculated.
Call
release()
when done with the kernel instance.-
release
()¶ Release any resources associated with the kernel.
-
dim
= None¶
-
dtype
= None¶
-
info
= None¶
-
results
= None¶
-
-
class
sasmodels.kerneldll.
DllModel
(dllpath, model_info, dtype=dtype('float32'))¶ Bases:
sasmodels.kernel.KernelModel
ctypes wrapper for a single model.
source and model_info are the model source and interface as returned from
gen.make()
.dtype is the desired model precision. Any numpy dtype for single or double precision floats will do, such as ‘f’, ‘float32’ or ‘single’ for single and ‘d’, ‘float64’ or ‘double’ for double. Double precision is an optional extension which may not be available on all devices.
Call
release()
when done with the kernel.-
make_kernel
(q_vectors)¶
-
release
()¶ Release any resources associated with the model.
-
dtype
= None¶
-
info
= None¶
-
-
sasmodels.kerneldll.
compile
(source, output)¶ Compile source producing output.
Raises RuntimeError if the compile failed or the output wasn’t produced.
-
sasmodels.kerneldll.
compile_command
(source, output)¶ unix compiler command
-
sasmodels.kerneldll.
dll_name
(model_info, dtype)¶ Name of the dll containing the model. This is the base file name without any path or extension, with a form such as ‘sas_sphere32’.
-
sasmodels.kerneldll.
dll_path
(model_info, dtype)¶ Complete path to the dll for the model. Note that the dll may not exist yet if it hasn’t been compiled.
-
sasmodels.kerneldll.
load_dll
(source, model_info, dtype=dtype('float64'))¶ Create and load a dll corresponding to the source, info pair returned from
sasmodels.generate.make()
compiled for the target precision.See
make_dll()
for details on controlling the dll path and the allowed floating point precision.
-
sasmodels.kerneldll.
make_dll
(source, model_info, dtype=dtype('float64'))¶ Returns the path to the compiled model defined by kernel_module.
If the model has not been compiled, or if the source file(s) are newer than the dll, then make_dll will compile the model before returning. This routine does not load the resulting dll.
dtype is a numpy floating point precision specifier indicating whether the model should be single, double or long double precision. The default is double precision, np.dtype(‘d’).
Set sasmodels.ALLOW_SINGLE_PRECISION_DLLS to False if single precision models are not allowed as DLLs.
Set sasmodels.kerneldll.DLL_PATH to the compiled dll output path. The default is the system temporary directory.