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GeezerVison is showing github.com — arrayfire-python/arrayfire/random.py at master · roaffix/arrayfire-python Expand file tree/ Copy pathrandom.pyMore file actions 232 lines (185 loc) · 7.51 KB / Copy pathrandom.pyFile metadata and controls232 lines (185 loc) · 7.51 KB 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 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 ####################################################### # 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 ######################################################## """ Random engine class and functions to generate random numbers. """ from .library import * from .array import * import numbers class Random_Engine(object): """ Class to handle random number generator engines. Parameters ---------- engine_type : optional: RANDOME_ENGINE. default: RANDOM_ENGINE.PHILOX - Specifies the type of random engine to be created. Can be one of: - RANDOM_ENGINE.PHILOX_4X32_10 - RANDOM_ENGINE.THREEFRY_2X32_16 - RANDOM_ENGINE.MERSENNE_GP11213 - RANDOM_ENGINE.PHILOX (same as RANDOM_ENGINE.PHILOX_4X32_10) - RANDOM_ENGINE.THREEFRY (same as RANDOM_ENGINE.THREEFRY_2X32_16) - RANDOM_ENGINE.DEFAULT - Not used if engine is not None seed : optional int. default: 0 - Specifies the seed for the random engine - Not used if engine is not None engine : optional ctypes.c_void_p. default: None. - Used a handle created by the C api to create the Random_Engine. """ def __init__(self, engine_type = RANDOM_ENGINE.PHILOX, seed = 0, engine = None): if (engine is None): self.engine = c_void_ptr_t(0) safe_call(backend.get().af_create_random_engine(c_pointer(self.engine), engine_type.value, c_longlong_t(seed))) else: self.engine = engine def __del__(self): safe_call(backend.get().af_release_random_engine(self.engine)) def set_type(self, engine_type): """ Set the type of the random engine. """ safe_call(backend.get().af_random_engine_set_type(c_pointer(self.engine), engine_type.value)) def get_type(self): """ Get the type of the random engine. """ __to_random_engine_type = [RANDOM_ENGINE.PHILOX_4X32_10, RANDOM_ENGINE.THREEFRY_2X32_16, RANDOM_ENGINE.MERSENNE_GP11213] rty = c_int_t(RANDOM_ENGINE.PHILOX.value) safe_call(backend.get().af_random_engine_get_type(c_pointer(rty), self.engine)) return __to_random_engine_type[rty] def set_seed(self, seed): """ Set the seed for the random engine. """ safe_call(backend.get().af_random_engine_set_seed(c_pointer(self.engine), c_longlong_t(seed))) def get_seed(self): """ Get the seed for the random engine. """ seed = c_longlong_t(0) safe_call(backend.get().af_random_engine_get_seed(c_pointer(seed), self.engine)) return seed.value def randu(d0, d1=None, d2=None, d3=None, dtype=Dtype.f32, engine=None): """ Create a multi dimensional array containing values from a uniform distribution. Parameters ---------- d0 : int. Length of first dimension. d1 : optional: int. default: None. Length of second dimension. d2 : optional: int. default: None. Length of third dimension. d3 : optional: int. default: None. Length of fourth dimension. dtype : optional: af.Dtype. default: af.Dtype.f32. Data type of the array. engine : optional: Random_Engine. default: None. If engine is None, uses a default engine created by arrayfire. Returns ------- out : af.Array Multi dimensional array whose elements are sampled uniformly between [0, 1]. - If d1 is None, `out` is 1D of size (d0,). - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1). - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2). - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3). """ out = Array() dims = dim4(d0, d1, d2, d3) if engine is None: safe_call(backend.get().af_randu(c_pointer(out.arr), 4, c_pointer(dims), dtype.value)) else: safe_call(backend.get().af_random_uniform(c_pointer(out.arr), 4, c_pointer(dims), dtype.value, engine.engine)) return out def randn(d0, d1=None, d2=None, d3=None, dtype=Dtype.f32, engine=None): """ Create a multi dimensional array containing values from a normal distribution. Parameters ---------- d0 : int. Length of first dimension. d1 : optional: int. default: None. Length of second dimension. d2 : optional: int. default: None. Length of third dimension. d3 : optional: int. default: None. Length of fourth dimension. dtype : optional: af.Dtype. default: af.Dtype.f32. Data type of the array. engine : optional: Random_Engine. default: None. If engine is None, uses a default engine created by arrayfire. Returns ------- out : af.Array Multi dimensional array whose elements are sampled from a normal distribution with mean 0 and sigma of 1. - If d1 is None, `out` is 1D of size (d0,). - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1). - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2). - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3). """ out = Array() dims = dim4(d0, d1, d2, d3) if engine is None: safe_call(backend.get().af_randn(c_pointer(out.arr), 4, c_pointer(dims), dtype.value)) else: safe_call(backend.get().af_random_normal(c_pointer(out.arr), 4, c_pointer(dims), dtype.value, engine.engine)) return out def set_seed(seed=0): """ Set the seed for the random number generator. Parameters ---------- seed: int. Seed for the random number generator """ safe_call(backend.get().af_set_seed(c_ulonglong_t(seed))) def get_seed(): """ Get the seed for the random number generator. Returns ------- seed: int. Seed for the random number generator """ seed = c_ulonglong_t(0) safe_call(backend.get().af_get_seed(c_pointer(seed))) return seed.value def set_default_random_engine_type(engine_type): """ Set random engine type for default random engine. Parameters ---------- engine_type : RANDOME_ENGINE. - Specifies the type of random engine to be created. Can be one of: - RANDOM_ENGINE.PHILOX_4X32_10 - RANDOM_ENGINE.THREEFRY_2X32_16 - RANDOM_ENGINE.MERSENNE_GP11213 - RANDOM_ENGINE.PHILOX (same as RANDOM_ENGINE.PHILOX_4X32_10) - RANDOM_ENGINE.THREEFRY (same as RANDOM_ENGINE.THREEFRY_2X32_16) - RANDOM_ENGINE.DEFAULT Note ---- This only affects randu and randn when a random engine is not specified. """ safe_call(backend.get().af_set_default_random_engine_type(c_pointer(self.engine), engine_type.value)) def get_default_random_engine(): """ Get the default random engine Returns ------- The default random engine used by randu and randn """ engine = c_void_ptr_t(0) default_engine = c_void_ptr_t(0) safe_call(backend.get().af_get_default_random_engine(c_pointer(default_engine))) safe_call(backend.get().af_retain_random_engine(c_pointer(engine), default_engine)) return Random_Engine(engine=engine) |
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