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GeezerVison is showing github.com — arrayfire-python/arrayfire/sparse.py at master · stjordanis/arrayfire-python Expand file tree/ Copy pathsparse.pyMore file actions 278 lines (209 loc) · 6.87 KB / Copy pathsparse.pyFile metadata and controls278 lines (209 loc) · 6.87 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 ####################################################### # 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 ######################################################## """ Functions to create and manipulate sparse matrices. """ from .library import * from .array import * import numbers from .interop import to_array __to_sparse_enum = [STORAGE.DENSE, STORAGE.CSR, STORAGE.CSC, STORAGE.COO] def create_sparse(values, row_idx, col_idx, nrows, ncols, storage = STORAGE.CSR): """ Create a sparse matrix from it's constituent parts. Parameters ---------- values : af.Array. - Contains the non zero elements of the sparse array. row_idx : af.Array. - Contains row indices of the sparse array. col_idx : af.Array. - Contains column indices of the sparse array. nrows : int. - specifies the number of rows in sparse matrix. ncols : int. - specifies the number of columns in sparse matrix. storage : optional: arrayfire.STORAGE. default: arrayfire.STORAGE.CSR. - Can be one of arrayfire.STORAGE.CSR, arrayfire.STORAGE.COO. Returns ------- A sparse matrix. """ assert(isinstance(values, Array)) assert(isinstance(row_idx, Array)) assert(isinstance(col_idx, Array)) out = Array() safe_call(backend.get().af_create_sparse_array(c_pointer(out.arr), c_dim_t(nrows), c_dim_t(ncols), values.arr, row_idx.arr, col_idx.arr, storage.value)) return out def create_sparse_from_host(values, row_idx, col_idx, nrows, ncols, storage = STORAGE.CSR): """ Create a sparse matrix from it's constituent parts. Parameters ---------- values : Any datatype that can be converted to array. - Contains the non zero elements of the sparse array. row_idx : Any datatype that can be converted to array. - Contains row indices of the sparse array. col_idx : Any datatype that can be converted to array. - Contains column indices of the sparse array. nrows : int. - specifies the number of rows in sparse matrix. ncols : int. - specifies the number of columns in sparse matrix. storage : optional: arrayfire.STORAGE. default: arrayfire.STORAGE.CSR. - Can be one of arrayfire.STORAGE.CSR, arrayfire.STORAGE.COO. Returns ------- A sparse matrix. """ return create_sparse(to_array(values), to_array(row_idx).as_type(Dtype.s32), to_array(col_idx).as_type(Dtype.s32), nrows, ncols, storage) def create_sparse_from_dense(dense, storage = STORAGE.CSR): """ Create a sparse matrix from a dense matrix. Parameters ---------- dense : af.Array. - A dense matrix. storage : optional: arrayfire.STORAGE. default: arrayfire.STORAGE.CSR. - Can be one of arrayfire.STORAGE.CSR, arrayfire.STORAGE.COO. Returns ------- A sparse matrix. """ assert(isinstance(dense, Array)) out = Array() safe_call(backend.get().af_create_sparse_array_from_dense(c_pointer(out.arr), dense.arr, storage.value)) return out def convert_sparse_to_dense(sparse): """ Create a dense matrix from a sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns ------- A dense matrix. """ out = Array() safe_call(backend.get().af_sparse_to_dense(c_pointer(out.arr), sparse.arr)) return out def sparse_get_info(sparse): """ Get the constituent arrays and storage info from a sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- (values, row_idx, col_idx, storage) where values : arrayfire.Array containing non zero elements from sparse matrix row_idx : arrayfire.Array containing the row indices col_idx : arrayfire.Array containing the column indices storage : sparse storage """ values = Array() row_idx = Array() col_idx = Array() stype = c_int_t(0) safe_call(backend.get().af_sparse_get_info(c_pointer(values.arr), c_pointer(row_idx.arr), c_pointer(col_idx.arr), c_pointer(stype), sparse.arr)) return (values, row_idx, col_idx, __to_sparse_enum[stype.value]) def sparse_get_values(sparse): """ Get the non zero values from sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- arrayfire array containing the non zero elements. """ values = Array() safe_call(backend.get().af_sparse_get_values(c_pointer(values.arr), sparse.arr)) return values def sparse_get_row_idx(sparse): """ Get the row indices from sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- arrayfire array containing the non zero elements. """ row_idx = Array() safe_call(backend.get().af_sparse_get_row_idx(c_pointer(row_idx.arr), sparse.arr)) return row_idx def sparse_get_col_idx(sparse): """ Get the column indices from sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- arrayfire array containing the non zero elements. """ col_idx = Array() safe_call(backend.get().af_sparse_get_col_idx(c_pointer(col_idx.arr), sparse.arr)) return col_idx def sparse_get_nnz(sparse): """ Get the column indices from sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- Number of non zero elements in the sparse matrix. """ nnz = c_dim_t(0) safe_call(backend.get().af_sparse_get_nnz(c_pointer(nnz), sparse.arr)) return nnz.value def sparse_get_storage(sparse): """ Get the column indices from sparse matrix. Parameters ---------- sparse : af.Array. - A sparse matrix. Returns -------- Number of non zero elements in the sparse matrix. """ storage = c_int_t(0) safe_call(backend.get().af_sparse_get_storage(c_pointer(storage), sparse.arr)) return __to_sparse_enum[storage.value] def convert_sparse(sparse, storage): """ Convert sparse matrix from one format to another. Parameters ---------- storage : arrayfire.STORAGE. Returns ------- Sparse matrix converted to the appropriate type. """ out = Array() safe_call(backend.get().af_sparse_convert_to(c_pointer(out.arr), sparse.arr, storage.value)) return out |
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