[14de349] | 1 | """ |
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| 2 | C types wrapper for sasview models. |
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[750ffa5] | 3 | |
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| 4 | The global attribute *ALLOW_SINGLE_PRECISION_DLLS* should be set to *True* if |
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| 5 | you wish to allow single precision floating point evaluation for the compiled |
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| 6 | models, otherwise it defaults to *False*. |
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[14de349] | 7 | """ |
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[750ffa5] | 8 | |
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[5d4777d] | 9 | import sys |
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| 10 | import os |
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[df4dc86] | 11 | import tempfile |
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[14de349] | 12 | import ctypes as ct |
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[750ffa5] | 13 | from ctypes import c_void_p, c_int, c_double, c_float |
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[14de349] | 14 | |
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| 15 | import numpy as np |
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| 16 | |
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[cb6ecf4] | 17 | from . import generate |
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[f734e7d] | 18 | from .kernelpy import PyInput, PyModel |
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[14de349] | 19 | |
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[5d4777d] | 20 | # Compiler platform details |
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| 21 | if sys.platform == 'darwin': |
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[216a9e1] | 22 | #COMPILE = "gcc-mp-4.7 -shared -fPIC -std=c99 -fopenmp -O2 -Wall %s -o %s -lm -lgomp" |
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[df4dc86] | 23 | COMPILE = "gcc -shared -fPIC -std=c99 -O2 -Wall %(source)s -o %(output)s -lm" |
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[5d4777d] | 24 | elif os.name == 'nt': |
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[3c56da87] | 25 | # call vcvarsall.bat before compiling to set path, headers, libs, etc. |
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[68d3c1b] | 26 | if "VCINSTALLDIR" in os.environ: |
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| 27 | # MSVC compiler is available, so use it. |
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[f734e7d] | 28 | # TODO: remove intermediate OBJ file created in the directory |
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| 29 | # TODO: maybe don't use randomized name for the c file |
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[68d3c1b] | 30 | COMPILE = "cl /nologo /Ox /MD /W3 /GS- /DNDEBUG /Tp%(source)s /openmp /link /DLL /INCREMENTAL:NO /MANIFEST /OUT:%(output)s" |
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[3c56da87] | 31 | # Can't find VCOMP90.DLL (don't know why), so remove openmp support |
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| 32 | # from windows compiler build |
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[68d3c1b] | 33 | #COMPILE = "cl /nologo /Ox /MD /W3 /GS- /DNDEBUG /Tp%(source)s /link /DLL /INCREMENTAL:NO /MANIFEST /OUT:%(output)s" |
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| 34 | else: |
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| 35 | #COMPILE = "gcc -shared -fPIC -std=c99 -fopenmp -O2 -Wall %(source)s -o %(output)s -lm" |
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| 36 | COMPILE = "gcc -shared -fPIC -std=c99 -O2 -Wall %(source)s -o %(output)s -lm" |
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[5d4777d] | 37 | else: |
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[df4dc86] | 38 | COMPILE = "cc -shared -fPIC -std=c99 -fopenmp -O2 -Wall %(source)s -o %(output)s -lm" |
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| 39 | |
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| 40 | DLL_PATH = tempfile.gettempdir() |
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[5d4777d] | 41 | |
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[750ffa5] | 42 | ALLOW_SINGLE_PRECISION_DLLS = False |
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[5d4777d] | 43 | |
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[750ffa5] | 44 | |
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| 45 | def dll_path(info, dtype="double"): |
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[5d4777d] | 46 | """ |
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| 47 | Path to the compiled model defined by *info*. |
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| 48 | """ |
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| 49 | from os.path import join as joinpath, split as splitpath, splitext |
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| 50 | basename = splitext(splitpath(info['filename'])[1])[0] |
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[750ffa5] | 51 | if np.dtype(dtype) == generate.F32: |
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| 52 | basename += "32" |
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[5d4777d] | 53 | return joinpath(DLL_PATH, basename+'.so') |
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| 54 | |
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| 55 | |
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[aa4946b] | 56 | def make_dll(source, info, dtype="double"): |
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[5d4777d] | 57 | """ |
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| 58 | Load the compiled model defined by *kernel_module*. |
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| 59 | |
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| 60 | Recompile if any files are newer than the model file. |
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| 61 | |
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[aa4946b] | 62 | *dtype* is a numpy floating point precision specifier indicating whether |
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| 63 | the model should be single or double precision. The default is double |
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| 64 | precision. |
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[5d4777d] | 65 | |
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[aa4946b] | 66 | The DLL is not loaded until the kernel is called so models can |
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[5d4777d] | 67 | be defined without using too many resources. |
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[aa4946b] | 68 | |
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| 69 | Set *sasmodels.kerneldll.DLL_PATH* to the compiled dll output path. |
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| 70 | The default is the system temporary directory. |
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| 71 | |
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| 72 | Set *sasmodels.ALLOW_SINGLE_PRECISION_DLLS* to True if single precision |
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| 73 | models are allowed as DLLs. |
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[5d4777d] | 74 | """ |
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[750ffa5] | 75 | if not ALLOW_SINGLE_PRECISION_DLLS: dtype = "double" # Force 64-bit dll |
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| 76 | dtype = np.dtype(dtype) |
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| 77 | |
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[f734e7d] | 78 | if callable(info.get('Iq',None)): |
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| 79 | return PyModel(info) |
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[750ffa5] | 80 | |
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| 81 | if dtype == generate.F32: # 32-bit dll |
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| 82 | source = generate.use_single(source) |
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| 83 | tempfile_prefix = 'sas_'+info['name']+'32_' |
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| 84 | else: |
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| 85 | tempfile_prefix = 'sas_'+info['name']+'_' |
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| 86 | |
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[cb6ecf4] | 87 | source_files = generate.sources(info) + [info['filename']] |
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[aa4946b] | 88 | dll= dll_path(info, dtype) |
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[5d4777d] | 89 | newest = max(os.path.getmtime(f) for f in source_files) |
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[aa4946b] | 90 | if not os.path.exists(dll) or os.path.getmtime(dll)<newest: |
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[5d4777d] | 91 | # Replace with a proper temp file |
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[750ffa5] | 92 | fid, filename = tempfile.mkstemp(suffix=".c",prefix=tempfile_prefix) |
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[5d4777d] | 93 | os.fdopen(fid,"w").write(source) |
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[aa4946b] | 94 | command = COMPILE%{"source":filename, "output":dll} |
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[df4dc86] | 95 | print "Compile command:",command |
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| 96 | status = os.system(command) |
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[aa4946b] | 97 | if status != 0 or not os.path.exists(dll): |
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[f734e7d] | 98 | raise RuntimeError("compile failed. File is in %r"%filename) |
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[5d4777d] | 99 | else: |
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| 100 | ## uncomment the following to keep the generated c file |
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[aa4946b] | 101 | os.unlink(filename); print "saving compiled file in %r"%filename |
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| 102 | return dll |
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| 103 | |
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| 104 | |
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| 105 | def load_dll(source, info, dtype="double"): |
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| 106 | """ |
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| 107 | Create and load a dll corresponding to the source,info pair returned |
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| 108 | from :func:`sasmodels.generate.make` compiled for the target precision. |
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| 109 | |
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| 110 | See :func:`make_dll` for details on controlling the dll path and the |
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| 111 | allowed floating point precision. |
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| 112 | """ |
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| 113 | filename = make_dll(source, info, dtype=dtype) |
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| 114 | return DllModel(filename, info, dtype=dtype) |
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[5d4777d] | 115 | |
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[14de349] | 116 | |
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[f734e7d] | 117 | IQ_ARGS = [c_void_p, c_void_p, c_int] |
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| 118 | IQXY_ARGS = [c_void_p, c_void_p, c_void_p, c_int] |
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[14de349] | 119 | |
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| 120 | class DllModel(object): |
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| 121 | """ |
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| 122 | ctypes wrapper for a single model. |
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| 123 | |
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[ce27e21] | 124 | *source* and *info* are the model source and interface as returned |
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[14de349] | 125 | from :func:`gen.make`. |
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| 126 | |
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| 127 | *dtype* is the desired model precision. Any numpy dtype for single |
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| 128 | or double precision floats will do, such as 'f', 'float32' or 'single' |
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| 129 | for single and 'd', 'float64' or 'double' for double. Double precision |
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| 130 | is an optional extension which may not be available on all devices. |
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[ff7119b] | 131 | |
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| 132 | Call :meth:`release` when done with the kernel. |
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[14de349] | 133 | """ |
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[750ffa5] | 134 | def __init__(self, dllpath, info, dtype=generate.F32): |
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[ce27e21] | 135 | self.info = info |
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| 136 | self.dllpath = dllpath |
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| 137 | self.dll = None |
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[750ffa5] | 138 | self.dtype = np.dtype(dtype) |
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[14de349] | 139 | |
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[ce27e21] | 140 | def _load_dll(self): |
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| 141 | Nfixed1d = len(self.info['partype']['fixed-1d']) |
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| 142 | Nfixed2d = len(self.info['partype']['fixed-2d']) |
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| 143 | Npd1d = len(self.info['partype']['pd-1d']) |
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| 144 | Npd2d = len(self.info['partype']['pd-2d']) |
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[14de349] | 145 | |
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[df4dc86] | 146 | #print "dll",self.dllpath |
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[ce27e21] | 147 | self.dll = ct.CDLL(self.dllpath) |
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[14de349] | 148 | |
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[750ffa5] | 149 | fp = c_float if self.dtype == generate.F32 else c_double |
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| 150 | pd_args_1d = [c_void_p, fp] + [c_int]*Npd1d if Npd1d else [] |
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| 151 | pd_args_2d= [c_void_p, fp] + [c_int]*Npd2d if Npd2d else [] |
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[cb6ecf4] | 152 | self.Iq = self.dll[generate.kernel_name(self.info, False)] |
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[750ffa5] | 153 | self.Iq.argtypes = IQ_ARGS + pd_args_1d + [fp]*Nfixed1d |
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[ce27e21] | 154 | |
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[cb6ecf4] | 155 | self.Iqxy = self.dll[generate.kernel_name(self.info, True)] |
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[750ffa5] | 156 | self.Iqxy.argtypes = IQXY_ARGS + pd_args_2d + [fp]*Nfixed2d |
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[ce27e21] | 157 | |
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| 158 | def __getstate__(self): |
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| 159 | return {'info': self.info, 'dllpath': self.dllpath, 'dll': None} |
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| 160 | |
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| 161 | def __setstate__(self, state): |
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| 162 | self.__dict__ = state |
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| 163 | |
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[3c56da87] | 164 | def __call__(self, q_input): |
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[750ffa5] | 165 | if self.dtype != q_input.dtype: |
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| 166 | raise TypeError("data is %s kernel is %s" % (q_input.dtype, self.dtype)) |
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[b3f6bc3] | 167 | if self.dll is None: self._load_dll() |
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[3c56da87] | 168 | kernel = self.Iqxy if q_input.is_2D else self.Iq |
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| 169 | return DllKernel(kernel, self.info, q_input) |
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[14de349] | 170 | |
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[3c56da87] | 171 | # pylint: disable=no-self-use |
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[14de349] | 172 | def make_input(self, q_vectors): |
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| 173 | """ |
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| 174 | Make q input vectors available to the model. |
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| 175 | |
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[b3f6bc3] | 176 | Note that each model needs its own q vector even if the case of |
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| 177 | mixture models because some models may be OpenCL, some may be |
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| 178 | ctypes and some may be pure python. |
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[14de349] | 179 | """ |
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[750ffa5] | 180 | return PyInput(q_vectors, dtype=self.dtype) |
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[14de349] | 181 | |
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[ff7119b] | 182 | def release(self): |
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| 183 | pass # TODO: should release the dll |
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| 184 | |
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[14de349] | 185 | |
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| 186 | class DllKernel(object): |
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[ff7119b] | 187 | """ |
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| 188 | Callable SAS kernel. |
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| 189 | |
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[b3f6bc3] | 190 | *kernel* is the c function to call. |
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[ff7119b] | 191 | |
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| 192 | *info* is the module information |
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| 193 | |
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[3c56da87] | 194 | *q_input* is the DllInput q vectors at which the kernel should be |
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[ff7119b] | 195 | evaluated. |
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| 196 | |
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| 197 | The resulting call method takes the *pars*, a list of values for |
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| 198 | the fixed parameters to the kernel, and *pd_pars*, a list of (value,weight) |
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| 199 | vectors for the polydisperse parameters. *cutoff* determines the |
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| 200 | integration limits: any points with combined weight less than *cutoff* |
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| 201 | will not be calculated. |
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| 202 | |
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| 203 | Call :meth:`release` when done with the kernel instance. |
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| 204 | """ |
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[3c56da87] | 205 | def __init__(self, kernel, info, q_input): |
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[5d4777d] | 206 | self.info = info |
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[3c56da87] | 207 | self.q_input = q_input |
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[14de349] | 208 | self.kernel = kernel |
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[3c56da87] | 209 | self.res = np.empty(q_input.nq, q_input.dtype) |
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| 210 | dim = '2d' if q_input.is_2D else '1d' |
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[ce27e21] | 211 | self.fixed_pars = info['partype']['fixed-'+dim] |
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| 212 | self.pd_pars = info['partype']['pd-'+dim] |
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[14de349] | 213 | |
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[ce27e21] | 214 | # In dll kernel, but not in opencl kernel |
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| 215 | self.p_res = self.res.ctypes.data |
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[14de349] | 216 | |
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[f734e7d] | 217 | def __call__(self, fixed_pars, pd_pars, cutoff): |
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[63b32bb] | 218 | real = np.float32 if self.q_input.dtype == generate.F32 else np.float64 |
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[14de349] | 219 | |
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[3c56da87] | 220 | nq = c_int(self.q_input.nq) |
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[f734e7d] | 221 | if pd_pars: |
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| 222 | cutoff = real(cutoff) |
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| 223 | loops_N = [np.uint32(len(p[0])) for p in pd_pars] |
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| 224 | loops = np.hstack(pd_pars) |
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[3c56da87] | 225 | loops = np.ascontiguousarray(loops.T, self.q_input.dtype).flatten() |
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[f734e7d] | 226 | p_loops = loops.ctypes.data |
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| 227 | dispersed = [p_loops, cutoff] + loops_N |
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| 228 | else: |
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| 229 | dispersed = [] |
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| 230 | fixed = [real(p) for p in fixed_pars] |
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[3c56da87] | 231 | args = self.q_input.q_pointers + [self.p_res, nq] + dispersed + fixed |
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[14de349] | 232 | #print pars |
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[ce27e21] | 233 | self.kernel(*args) |
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[14de349] | 234 | |
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| 235 | return self.res |
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| 236 | |
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| 237 | def release(self): |
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| 238 | pass |
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