1 // Copyright (c) 2017-2024, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed 7 8 #include <ceed.h> 9 #include <ceed/backend.h> 10 #include <ceed/jit-tools.h> 11 #include <stdbool.h> 12 #include <stddef.h> 13 #include <string.h> 14 #include <hip/hip_runtime.h> 15 16 #include "../hip/ceed-hip-common.h" 17 #include "../hip/ceed-hip-compile.h" 18 #include "ceed-hip-shared.h" 19 20 //------------------------------------------------------------------------------ 21 // Compute a block size based on required minimum threads 22 //------------------------------------------------------------------------------ 23 static CeedInt ComputeBlockSizeFromRequirement(const CeedInt required) { 24 CeedInt maxSize = 1024; // Max total threads per block 25 CeedInt currentSize = 64; // Start with one group 26 27 while (currentSize < maxSize) { 28 if (currentSize > required) break; 29 else currentSize = currentSize * 2; 30 } 31 return currentSize; 32 } 33 34 //------------------------------------------------------------------------------ 35 // Compute required thread block sizes for basis kernels given P, Q, dim, and 36 // num_comp (num_comp not currently used, but may be again in other basis 37 // parallelization options) 38 //------------------------------------------------------------------------------ 39 static int ComputeBasisThreadBlockSizes(const CeedInt dim, const CeedInt P_1d, const CeedInt Q_1d, const CeedInt num_comp, CeedInt *block_sizes) { 40 // Note that this will use the same block sizes for all dimensions when compiling, 41 // but as each basis object is defined for a particular dimension, we will never 42 // call any kernels except the ones for the dimension for which we have computed the 43 // block sizes. 44 const CeedInt thread_1d = CeedIntMax(P_1d, Q_1d); 45 46 switch (dim) { 47 case 1: { 48 // Interp kernels: 49 block_sizes[0] = 256; 50 51 // Grad kernels: 52 block_sizes[1] = 256; 53 54 // Weight kernels: 55 block_sizes[2] = 256; 56 } break; 57 case 2: { 58 // Interp kernels: 59 CeedInt required = thread_1d * thread_1d; 60 61 block_sizes[0] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 62 63 // Grad kernels: currently use same required minimum threads 64 block_sizes[1] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 65 66 // Weight kernels: 67 required = CeedIntMax(64, Q_1d * Q_1d); 68 block_sizes[2] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 69 70 } break; 71 case 3: { 72 // Interp kernels: 73 CeedInt required = thread_1d * thread_1d; 74 75 block_sizes[0] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 76 77 // Grad kernels: currently use same required minimum threads 78 block_sizes[1] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 79 80 // Weight kernels: 81 required = Q_1d * Q_1d * Q_1d; 82 block_sizes[2] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 83 } 84 } 85 return CEED_ERROR_SUCCESS; 86 } 87 88 //------------------------------------------------------------------------------ 89 // Apply basis 90 //------------------------------------------------------------------------------ 91 static int CeedBasisApplyTensorCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, CeedTransposeMode t_mode, 92 CeedEvalMode eval_mode, CeedVector u, CeedVector v) { 93 Ceed ceed; 94 Ceed_Hip *ceed_Hip; 95 CeedInt dim, num_comp; 96 const CeedScalar *d_u; 97 CeedScalar *d_v; 98 CeedBasis_Hip_shared *data; 99 100 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 101 CeedCallBackend(CeedGetData(ceed, &ceed_Hip)); 102 CeedCallBackend(CeedBasisGetData(basis, &data)); 103 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 104 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 105 106 // Get read/write access to u, v 107 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 108 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 109 if (apply_add) { 110 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 111 } else { 112 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 113 } 114 115 // Apply basis operation 116 switch (eval_mode) { 117 case CEED_EVAL_INTERP: { 118 CeedInt P_1d, Q_1d; 119 CeedInt block_size = data->block_sizes[0]; 120 121 CeedCheck(data->d_interp_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; interp_1d not set", CeedEvalModes[eval_mode]); 122 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 123 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 124 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 125 void *interp_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_u, &d_v}; 126 127 if (dim == 1) { 128 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 129 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 130 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 131 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 132 133 if (t_mode == CEED_TRANSPOSE) { 134 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, NULL, grid, thread_1d, 1, 135 elems_per_block, shared_mem, interp_args)); 136 } else { 137 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, NULL, grid, thread_1d, 1, elems_per_block, shared_mem, interp_args)); 138 } 139 } else if (dim == 2) { 140 // Check if required threads is small enough to do multiple elems 141 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 142 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 143 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 144 145 if (t_mode == CEED_TRANSPOSE) { 146 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, NULL, grid, thread_1d, 147 thread_1d, elems_per_block, shared_mem, interp_args)); 148 } else { 149 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 150 } 151 } else if (dim == 3) { 152 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 153 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 154 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 155 156 if (t_mode == CEED_TRANSPOSE) { 157 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, NULL, grid, thread_1d, 158 thread_1d, elems_per_block, shared_mem, interp_args)); 159 } else { 160 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 161 } 162 } 163 } break; 164 case CEED_EVAL_GRAD: { 165 CeedInt P_1d, Q_1d; 166 CeedInt block_size = data->block_sizes[1]; 167 168 CeedCheck(data->d_grad_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; grad_1d not set", CeedEvalModes[eval_mode]); 169 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 170 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 171 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 172 CeedScalar *d_grad_1d = data->d_grad_1d; 173 174 if (data->d_collo_grad_1d) { 175 d_grad_1d = data->d_collo_grad_1d; 176 } 177 void *grad_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_grad_1d, &d_u, &d_v}; 178 179 if (dim == 1) { 180 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 181 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 182 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 183 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 184 185 if (t_mode == CEED_TRANSPOSE) { 186 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, NULL, grid, thread_1d, 1, 187 elems_per_block, shared_mem, grad_args)); 188 } else { 189 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, NULL, grid, thread_1d, 1, elems_per_block, shared_mem, grad_args)); 190 } 191 } else if (dim == 2) { 192 // Check if required threads is small enough to do multiple elems 193 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 194 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 195 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 196 197 if (t_mode == CEED_TRANSPOSE) { 198 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, NULL, grid, thread_1d, thread_1d, 199 elems_per_block, shared_mem, grad_args)); 200 } else { 201 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 202 } 203 } else if (dim == 3) { 204 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 205 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 206 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 207 208 if (t_mode == CEED_TRANSPOSE) { 209 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, NULL, grid, thread_1d, thread_1d, 210 elems_per_block, shared_mem, grad_args)); 211 } else { 212 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 213 } 214 } 215 } break; 216 case CEED_EVAL_WEIGHT: { 217 CeedInt Q_1d; 218 CeedInt block_size = data->block_sizes[2]; 219 220 CeedCheck(data->d_q_weight_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; q_weights_1d not set", CeedEvalModes[eval_mode]); 221 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 222 void *weight_args[] = {(void *)&num_elem, (void *)&data->d_q_weight_1d, &d_v}; 223 224 if (dim == 1) { 225 const CeedInt opt_elems = block_size / Q_1d; 226 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 227 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 228 229 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, elems_per_block, 1, weight_args)); 230 } else if (dim == 2) { 231 const CeedInt opt_elems = block_size / (Q_1d * Q_1d); 232 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 233 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 234 235 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, Q_1d, elems_per_block, weight_args)); 236 } else if (dim == 3) { 237 const CeedInt opt_elems = block_size / (Q_1d * Q_1d); 238 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 239 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 240 241 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, Q_1d, elems_per_block, weight_args)); 242 } 243 } break; 244 case CEED_EVAL_NONE: /* handled separately below */ 245 break; 246 // LCOV_EXCL_START 247 case CEED_EVAL_DIV: 248 case CEED_EVAL_CURL: 249 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 250 // LCOV_EXCL_STOP 251 } 252 253 // Restore vectors, cover CEED_EVAL_NONE 254 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 255 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 256 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 257 CeedCallBackend(CeedDestroy(&ceed)); 258 return CEED_ERROR_SUCCESS; 259 } 260 261 int CeedBasisApplyTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 262 CeedVector v) { 263 CeedCallBackend(CeedBasisApplyTensorCore_Hip_shared(basis, false, num_elem, t_mode, eval_mode, u, v)); 264 return CEED_ERROR_SUCCESS; 265 } 266 267 int CeedBasisApplyAddTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 268 CeedVector v) { 269 CeedCallBackend(CeedBasisApplyTensorCore_Hip_shared(basis, true, num_elem, t_mode, eval_mode, u, v)); 270 return CEED_ERROR_SUCCESS; 271 } 272 273 //------------------------------------------------------------------------------ 274 // Basis apply - tensor AtPoints 275 //------------------------------------------------------------------------------ 276 static int CeedBasisApplyAtPointsCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, const CeedInt *num_points, 277 CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 278 Ceed ceed; 279 CeedInt Q_1d, dim, max_num_points = num_points[0]; 280 const CeedInt is_transpose = t_mode == CEED_TRANSPOSE; 281 const CeedScalar *d_x, *d_u; 282 CeedScalar *d_v; 283 CeedBasis_Hip_shared *data; 284 285 CeedCallBackend(CeedBasisGetData(basis, &data)); 286 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 287 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 288 289 // Weight handled separately 290 if (eval_mode == CEED_EVAL_WEIGHT) { 291 CeedCallBackend(CeedVectorSetValue(v, 1.0)); 292 return CEED_ERROR_SUCCESS; 293 } 294 295 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 296 297 // Check padded to uniform number of points per elem 298 for (CeedInt i = 1; i < num_elem; i++) max_num_points = CeedIntMax(max_num_points, num_points[i]); 299 { 300 CeedInt num_comp, q_comp; 301 CeedSize len, len_required; 302 303 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 304 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, eval_mode, &q_comp)); 305 CeedCallBackend(CeedVectorGetLength(is_transpose ? u : v, &len)); 306 len_required = (CeedSize)num_comp * (CeedSize)q_comp * (CeedSize)num_elem * (CeedSize)max_num_points; 307 CeedCheck(len >= len_required, ceed, CEED_ERROR_BACKEND, 308 "Vector at points must be padded to the same number of points in each element for BasisApplyAtPoints on GPU backends." 309 " Found %" CeedSize_FMT ", Required %" CeedSize_FMT, 310 len, len_required); 311 } 312 313 // Move num_points array to device 314 if (is_transpose) { 315 const CeedInt num_bytes = num_elem * sizeof(CeedInt); 316 317 if (num_elem != data->num_elem_at_points) { 318 data->num_elem_at_points = num_elem; 319 320 if (data->d_points_per_elem) CeedCallHip(ceed, hipFree(data->d_points_per_elem)); 321 CeedCallHip(ceed, hipMalloc((void **)&data->d_points_per_elem, num_bytes)); 322 CeedCallBackend(CeedFree(&data->h_points_per_elem)); 323 CeedCallBackend(CeedCalloc(num_elem, &data->h_points_per_elem)); 324 } 325 if (memcmp(data->h_points_per_elem, num_points, num_bytes)) { 326 memcpy(data->h_points_per_elem, num_points, num_bytes); 327 CeedCallHip(ceed, hipMemcpy(data->d_points_per_elem, num_points, num_bytes, hipMemcpyHostToDevice)); 328 } 329 } 330 331 // Build kernels if needed 332 if (data->num_points != max_num_points) { 333 CeedInt P_1d; 334 335 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 336 data->num_points = max_num_points; 337 338 // -- Create interp matrix to Chebyshev coefficients 339 if (!data->d_chebyshev_interp_1d) { 340 CeedSize interp_bytes; 341 CeedScalar *chebyshev_interp_1d; 342 343 interp_bytes = P_1d * Q_1d * sizeof(CeedScalar); 344 CeedCallBackend(CeedCalloc(P_1d * Q_1d, &chebyshev_interp_1d)); 345 CeedCallBackend(CeedBasisGetChebyshevInterp1D(basis, chebyshev_interp_1d)); 346 CeedCallHip(ceed, hipMalloc((void **)&data->d_chebyshev_interp_1d, interp_bytes)); 347 CeedCallHip(ceed, hipMemcpy(data->d_chebyshev_interp_1d, chebyshev_interp_1d, interp_bytes, hipMemcpyHostToDevice)); 348 CeedCallBackend(CeedFree(&chebyshev_interp_1d)); 349 } 350 351 // -- Compile kernels 352 const char basis_kernel_source[] = "// AtPoints basis source\n#include <ceed/jit-source/hip/hip-shared-basis-tensor-at-points.h>\n"; 353 CeedInt num_comp; 354 355 if (data->moduleAtPoints) CeedCallHip(ceed, hipModuleUnload(data->moduleAtPoints)); 356 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 357 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->moduleAtPoints, 9, "BASIS_Q_1D", Q_1d, "BASIS_P_1D", P_1d, "BASIS_T_1D", 358 CeedIntMax(Q_1d, P_1d), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_NUM_NODES", CeedIntPow(P_1d, dim), 359 "BASIS_NUM_QPTS", CeedIntPow(Q_1d, dim), "BASIS_NUM_PTS", max_num_points, "BASIS_INTERP_BLOCK_SIZE", 360 data->block_sizes[0])); 361 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "InterpAtPoints", &data->InterpAtPoints)); 362 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "InterpTransposeAtPoints", &data->InterpTransposeAtPoints)); 363 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "InterpTransposeAddAtPoints", &data->InterpTransposeAddAtPoints)); 364 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "GradAtPoints", &data->GradAtPoints)); 365 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "GradTransposeAtPoints", &data->GradTransposeAtPoints)); 366 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "GradTransposeAddAtPoints", &data->GradTransposeAddAtPoints)); 367 } 368 369 // Get read/write access to u, v 370 CeedCallBackend(CeedVectorGetArrayRead(x_ref, CEED_MEM_DEVICE, &d_x)); 371 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 372 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 373 if (apply_add) { 374 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 375 } else { 376 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 377 } 378 379 // Basis action 380 switch (eval_mode) { 381 case CEED_EVAL_INTERP: { 382 CeedInt P_1d, Q_1d; 383 CeedInt block_size = data->block_sizes[0]; 384 385 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 386 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 387 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 388 void *interp_args[] = {(void *)&num_elem, &data->d_chebyshev_interp_1d, &data->d_points_per_elem, &d_x, &d_u, &d_v}; 389 390 if (dim == 1) { 391 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 392 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 393 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 394 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 395 396 if (is_transpose) { 397 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAddAtPoints : data->InterpTransposeAtPoints, NULL, grid, 398 thread_1d, 1, elems_per_block, shared_mem, interp_args)); 399 } else { 400 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->InterpAtPoints, NULL, grid, thread_1d, 1, elems_per_block, shared_mem, interp_args)); 401 } 402 } else if (dim == 2) { 403 // Check if required threads is small enough to do multiple elems 404 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 405 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 406 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 407 408 if (is_transpose) { 409 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAddAtPoints : data->InterpTransposeAtPoints, NULL, grid, 410 thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 411 } else { 412 CeedCallBackend( 413 CeedRunKernelDimShared_Hip(ceed, data->InterpAtPoints, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 414 } 415 } else if (dim == 3) { 416 const CeedInt elems_per_block = 1; 417 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 418 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 419 420 if (is_transpose) { 421 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAddAtPoints : data->InterpTransposeAtPoints, NULL, grid, 422 thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 423 } else { 424 CeedCallBackend( 425 CeedRunKernelDimShared_Hip(ceed, data->InterpAtPoints, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 426 } 427 } 428 } break; 429 case CEED_EVAL_GRAD: { 430 CeedInt P_1d, Q_1d; 431 CeedInt block_size = data->block_sizes[0]; 432 433 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 434 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 435 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 436 void *grad_args[] = {(void *)&num_elem, &data->d_chebyshev_interp_1d, &data->d_points_per_elem, &d_x, &d_u, &d_v}; 437 438 if (dim == 1) { 439 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 440 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 441 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 442 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 443 444 if (is_transpose) { 445 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAddAtPoints : data->GradTransposeAtPoints, NULL, grid, 446 thread_1d, 1, elems_per_block, shared_mem, grad_args)); 447 } else { 448 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->GradAtPoints, NULL, grid, thread_1d, 1, elems_per_block, shared_mem, grad_args)); 449 } 450 } else if (dim == 2) { 451 // Check if required threads is small enough to do multiple elems 452 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 453 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 454 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 455 456 if (is_transpose) { 457 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAddAtPoints : data->GradTransposeAtPoints, NULL, grid, 458 thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 459 } else { 460 CeedCallBackend( 461 CeedRunKernelDimShared_Hip(ceed, data->GradAtPoints, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 462 } 463 } else if (dim == 3) { 464 const CeedInt elems_per_block = 1; 465 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 466 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 467 468 if (is_transpose) { 469 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAddAtPoints : data->GradTransposeAtPoints, NULL, grid, 470 thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 471 } else { 472 CeedCallBackend( 473 CeedRunKernelDimShared_Hip(ceed, data->GradAtPoints, NULL, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 474 } 475 } 476 } break; 477 case CEED_EVAL_WEIGHT: 478 case CEED_EVAL_NONE: /* handled separately below */ 479 break; 480 // LCOV_EXCL_START 481 case CEED_EVAL_DIV: 482 case CEED_EVAL_CURL: 483 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 484 // LCOV_EXCL_STOP 485 } 486 487 // Restore vectors, cover CEED_EVAL_NONE 488 CeedCallBackend(CeedVectorRestoreArrayRead(x_ref, &d_x)); 489 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 490 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 491 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 492 return CEED_ERROR_SUCCESS; 493 } 494 495 static int CeedBasisApplyAtPoints_Hip_shared(CeedBasis basis, const CeedInt num_elem, const CeedInt *num_points, CeedTransposeMode t_mode, 496 CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 497 CeedCallBackend(CeedBasisApplyAtPointsCore_Hip_shared(basis, false, num_elem, num_points, t_mode, eval_mode, x_ref, u, v)); 498 return CEED_ERROR_SUCCESS; 499 } 500 501 static int CeedBasisApplyAddAtPoints_Hip_shared(CeedBasis basis, const CeedInt num_elem, const CeedInt *num_points, CeedTransposeMode t_mode, 502 CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 503 CeedCallBackend(CeedBasisApplyAtPointsCore_Hip_shared(basis, true, num_elem, num_points, t_mode, eval_mode, x_ref, u, v)); 504 return CEED_ERROR_SUCCESS; 505 } 506 507 //------------------------------------------------------------------------------ 508 // Apply basis 509 //------------------------------------------------------------------------------ 510 static int CeedBasisApplyNonTensorCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, CeedTransposeMode t_mode, 511 CeedEvalMode eval_mode, CeedVector u, CeedVector v) { 512 Ceed ceed; 513 Ceed_Hip *ceed_Hip; 514 CeedInt dim, num_comp; 515 const CeedScalar *d_u; 516 CeedScalar *d_v; 517 CeedBasis_Hip_shared *data; 518 519 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 520 CeedCallBackend(CeedGetData(ceed, &ceed_Hip)); 521 CeedCallBackend(CeedBasisGetData(basis, &data)); 522 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 523 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 524 525 // Get read/write access to u, v 526 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 527 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 528 if (apply_add) { 529 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 530 } else { 531 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 532 } 533 534 // Apply basis operation 535 switch (eval_mode) { 536 case CEED_EVAL_INTERP: { 537 CeedInt P, Q; 538 539 CeedCheck(data->d_interp_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; interp not set", CeedEvalModes[eval_mode]); 540 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 541 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 542 CeedInt thread = CeedIntMax(Q, P); 543 void *interp_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_u, &d_v}; 544 545 { 546 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 547 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 548 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 549 CeedInt shared_mem = elems_per_block * thread * sizeof(CeedScalar); 550 551 if (t_mode == CEED_TRANSPOSE) { 552 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, NULL, grid, thread, 1, 553 elems_per_block, shared_mem, interp_args)); 554 } else { 555 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, NULL, grid, thread, 1, elems_per_block, shared_mem, interp_args)); 556 } 557 } 558 } break; 559 case CEED_EVAL_GRAD: { 560 CeedInt P, Q; 561 562 CeedCheck(data->d_grad_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; grad not set", CeedEvalModes[eval_mode]); 563 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 564 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 565 CeedInt thread = CeedIntMax(Q, P); 566 void *grad_args[] = {(void *)&num_elem, &data->d_grad_1d, &d_u, &d_v}; 567 568 { 569 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 570 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 571 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 572 CeedInt shared_mem = elems_per_block * thread * sizeof(CeedScalar); 573 574 if (t_mode == CEED_TRANSPOSE) { 575 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, NULL, grid, thread, 1, 576 elems_per_block, shared_mem, grad_args)); 577 } else { 578 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, NULL, grid, thread, 1, elems_per_block, shared_mem, grad_args)); 579 } 580 } 581 } break; 582 case CEED_EVAL_WEIGHT: { 583 CeedInt P, Q; 584 585 CeedCheck(data->d_q_weight_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; q_weights not set", CeedEvalModes[eval_mode]); 586 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 587 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 588 CeedInt thread = CeedIntMax(Q, P); 589 void *weight_args[] = {(void *)&num_elem, (void *)&data->d_q_weight_1d, &d_v}; 590 591 { 592 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 593 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 594 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 595 596 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, thread, elems_per_block, 1, weight_args)); 597 } 598 } break; 599 case CEED_EVAL_NONE: /* handled separately below */ 600 break; 601 // LCOV_EXCL_START 602 case CEED_EVAL_DIV: 603 case CEED_EVAL_CURL: 604 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 605 // LCOV_EXCL_STOP 606 } 607 608 // Restore vectors, cover CEED_EVAL_NONE 609 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 610 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 611 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 612 CeedCallBackend(CeedDestroy(&ceed)); 613 return CEED_ERROR_SUCCESS; 614 } 615 616 int CeedBasisApplyNonTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 617 CeedVector v) { 618 CeedCallBackend(CeedBasisApplyNonTensorCore_Hip_shared(basis, false, num_elem, t_mode, eval_mode, u, v)); 619 return CEED_ERROR_SUCCESS; 620 } 621 622 int CeedBasisApplyAddNonTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 623 CeedVector v) { 624 CeedCallBackend(CeedBasisApplyNonTensorCore_Hip_shared(basis, true, num_elem, t_mode, eval_mode, u, v)); 625 return CEED_ERROR_SUCCESS; 626 } 627 628 //------------------------------------------------------------------------------ 629 // Destroy basis 630 //------------------------------------------------------------------------------ 631 static int CeedBasisDestroy_Hip_shared(CeedBasis basis) { 632 Ceed ceed; 633 CeedBasis_Hip_shared *data; 634 635 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 636 CeedCallBackend(CeedBasisGetData(basis, &data)); 637 CeedCallHip(ceed, hipModuleUnload(data->module)); 638 if (data->moduleAtPoints) CeedCallHip(ceed, hipModuleUnload(data->moduleAtPoints)); 639 if (data->d_q_weight_1d) CeedCallHip(ceed, hipFree(data->d_q_weight_1d)); 640 CeedCallBackend(CeedFree(&data->h_points_per_elem)); 641 if (data->d_points_per_elem) CeedCallHip(ceed, hipFree(data->d_points_per_elem)); 642 CeedCallHip(ceed, hipFree(data->d_interp_1d)); 643 CeedCallHip(ceed, hipFree(data->d_grad_1d)); 644 CeedCallHip(ceed, hipFree(data->d_collo_grad_1d)); 645 CeedCallHip(ceed, hipFree(data->d_chebyshev_interp_1d)); 646 CeedCallBackend(CeedFree(&data)); 647 return CEED_ERROR_SUCCESS; 648 } 649 650 //------------------------------------------------------------------------------ 651 // Create tensor basis 652 //------------------------------------------------------------------------------ 653 int CeedBasisCreateTensorH1_Hip_shared(CeedInt dim, CeedInt P_1d, CeedInt Q_1d, const CeedScalar *interp_1d, const CeedScalar *grad_1d, 654 const CeedScalar *q_ref_1d, const CeedScalar *q_weight_1d, CeedBasis basis) { 655 Ceed ceed; 656 CeedInt num_comp; 657 const CeedInt q_bytes = Q_1d * sizeof(CeedScalar); 658 const CeedInt interp_bytes = q_bytes * P_1d; 659 CeedBasis_Hip_shared *data; 660 661 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 662 CeedCallBackend(CeedCalloc(1, &data)); 663 664 // Copy basis data to GPU 665 if (q_weight_1d) { 666 CeedCallHip(ceed, hipMalloc((void **)&data->d_q_weight_1d, q_bytes)); 667 CeedCallHip(ceed, hipMemcpy(data->d_q_weight_1d, q_weight_1d, q_bytes, hipMemcpyHostToDevice)); 668 } 669 CeedCallHip(ceed, hipMalloc((void **)&data->d_interp_1d, interp_bytes)); 670 CeedCallHip(ceed, hipMemcpy(data->d_interp_1d, interp_1d, interp_bytes, hipMemcpyHostToDevice)); 671 CeedCallHip(ceed, hipMalloc((void **)&data->d_grad_1d, interp_bytes)); 672 CeedCallHip(ceed, hipMemcpy(data->d_grad_1d, grad_1d, interp_bytes, hipMemcpyHostToDevice)); 673 674 // Compute collocated gradient and copy to GPU 675 data->d_collo_grad_1d = NULL; 676 bool has_collocated_grad = dim == 3 && Q_1d >= P_1d; 677 678 if (has_collocated_grad) { 679 CeedScalar *collo_grad_1d; 680 681 CeedCallBackend(CeedMalloc(Q_1d * Q_1d, &collo_grad_1d)); 682 CeedCallBackend(CeedBasisGetCollocatedGrad(basis, collo_grad_1d)); 683 CeedCallHip(ceed, hipMalloc((void **)&data->d_collo_grad_1d, q_bytes * Q_1d)); 684 CeedCallHip(ceed, hipMemcpy(data->d_collo_grad_1d, collo_grad_1d, q_bytes * Q_1d, hipMemcpyHostToDevice)); 685 CeedCallBackend(CeedFree(&collo_grad_1d)); 686 } 687 688 // Set number of threads per block for basis kernels 689 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 690 CeedCallBackend(ComputeBasisThreadBlockSizes(dim, P_1d, Q_1d, num_comp, data->block_sizes)); 691 692 // Compile basis kernels 693 const char basis_kernel_source[] = "// Tensor basis source\n#include <ceed/jit-source/hip/hip-shared-basis-tensor.h>\n"; 694 695 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->module, 11, "BASIS_Q_1D", Q_1d, "BASIS_P_1D", P_1d, "BASIS_T_1D", 696 CeedIntMax(Q_1d, P_1d), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_NUM_NODES", CeedIntPow(P_1d, dim), 697 "BASIS_NUM_QPTS", CeedIntPow(Q_1d, dim), "BASIS_INTERP_BLOCK_SIZE", data->block_sizes[0], "BASIS_GRAD_BLOCK_SIZE", 698 data->block_sizes[1], "BASIS_WEIGHT_BLOCK_SIZE", data->block_sizes[2], "BASIS_HAS_COLLOCATED_GRAD", 699 has_collocated_grad)); 700 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Interp", &data->Interp)); 701 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTranspose", &data->InterpTranspose)); 702 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTransposeAdd", &data->InterpTransposeAdd)); 703 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Grad", &data->Grad)); 704 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTranspose", &data->GradTranspose)); 705 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTransposeAdd", &data->GradTransposeAdd)); 706 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Weight", &data->Weight)); 707 708 CeedCallBackend(CeedBasisSetData(basis, data)); 709 710 // Register backend functions 711 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Apply", CeedBasisApplyTensor_Hip_shared)); 712 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAdd", CeedBasisApplyAddTensor_Hip_shared)); 713 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAtPoints", CeedBasisApplyAtPoints_Hip_shared)); 714 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAddAtPoints", CeedBasisApplyAddAtPoints_Hip_shared)); 715 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Destroy", CeedBasisDestroy_Hip_shared)); 716 CeedCallBackend(CeedDestroy(&ceed)); 717 return CEED_ERROR_SUCCESS; 718 } 719 720 //------------------------------------------------------------------------------ 721 // Create non-tensor basis 722 //------------------------------------------------------------------------------ 723 int CeedBasisCreateH1_Hip_shared(CeedElemTopology topo, CeedInt dim, CeedInt num_nodes, CeedInt num_qpts, const CeedScalar *interp, 724 const CeedScalar *grad, const CeedScalar *q_ref, const CeedScalar *q_weight, CeedBasis basis) { 725 Ceed ceed; 726 CeedInt num_comp, q_comp_interp, q_comp_grad; 727 const CeedInt q_bytes = num_qpts * sizeof(CeedScalar); 728 CeedBasis_Hip_shared *data; 729 730 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 731 732 // Check shared memory size 733 { 734 Ceed_Hip *hip_data; 735 736 CeedCallBackend(CeedGetData(ceed, &hip_data)); 737 if (((size_t)num_nodes * (size_t)num_qpts * (size_t)dim + (size_t)CeedIntMax(num_nodes, num_qpts)) * sizeof(CeedScalar) > 738 hip_data->device_prop.sharedMemPerBlock) { 739 CeedCallBackend(CeedBasisCreateH1Fallback(ceed, topo, dim, num_nodes, num_qpts, interp, grad, q_ref, q_weight, basis)); 740 return CEED_ERROR_SUCCESS; 741 } 742 } 743 744 CeedCallBackend(CeedCalloc(1, &data)); 745 746 // Copy basis data to GPU 747 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, CEED_EVAL_INTERP, &q_comp_interp)); 748 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, CEED_EVAL_GRAD, &q_comp_grad)); 749 if (q_weight) { 750 CeedCallHip(ceed, hipMalloc((void **)&data->d_q_weight_1d, q_bytes)); 751 CeedCallHip(ceed, hipMemcpy(data->d_q_weight_1d, q_weight, q_bytes, hipMemcpyHostToDevice)); 752 } 753 if (interp) { 754 const CeedInt interp_bytes = q_bytes * num_nodes * q_comp_interp; 755 756 CeedCallHip(ceed, hipMalloc((void **)&data->d_interp_1d, interp_bytes)); 757 CeedCallHip(ceed, hipMemcpy(data->d_interp_1d, interp, interp_bytes, hipMemcpyHostToDevice)); 758 } 759 if (grad) { 760 const CeedInt grad_bytes = q_bytes * num_nodes * q_comp_grad; 761 762 CeedCallHip(ceed, hipMalloc((void **)&data->d_grad_1d, grad_bytes)); 763 CeedCallHip(ceed, hipMemcpy(data->d_grad_1d, grad, grad_bytes, hipMemcpyHostToDevice)); 764 } 765 766 // Compile basis kernels 767 const char basis_kernel_source[] = "// Non-tensor basis source\n#include <ceed/jit-source/hip/hip-shared-basis-nontensor.h>\n"; 768 769 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 770 CeedCallBackend(ComputeBasisThreadBlockSizes(dim, num_nodes, num_qpts, num_comp, data->block_sizes)); 771 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->module, 6, "BASIS_Q", num_qpts, "BASIS_P", num_nodes, "BASIS_T_1D", 772 CeedIntMax(num_qpts, num_nodes), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_INTERP_BLOCK_SIZE", 773 data->block_sizes[0])); 774 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Interp", &data->Interp)); 775 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTranspose", &data->InterpTranspose)); 776 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTransposeAdd", &data->InterpTransposeAdd)); 777 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Grad", &data->Grad)); 778 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTranspose", &data->GradTranspose)); 779 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTransposeAdd", &data->GradTransposeAdd)); 780 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Weight", &data->Weight)); 781 782 CeedCallBackend(CeedBasisSetData(basis, data)); 783 784 // Register backend functions 785 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Apply", CeedBasisApplyNonTensor_Hip_shared)); 786 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAdd", CeedBasisApplyAddNonTensor_Hip_shared)); 787 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Destroy", CeedBasisDestroy_Hip_shared)); 788 CeedCallBackend(CeedDestroy(&ceed)); 789 return CEED_ERROR_SUCCESS; 790 } 791 792 //------------------------------------------------------------------------------ 793