Lines Matching full:true
40 *is_all_tensor = true; in CeedOperatorBuildKernelData_Cuda_gen()
67 bool is_all_3d = true; in CeedOperatorBuildKernelData_Cuda_gen()
153 *use_3d_slices = basis_data->d_collo_grad_1d && (was_grad_found ? *use_3d_slices : true); in CeedOperatorBuildKernelData_Cuda_gen()
154 was_grad_found = true; in CeedOperatorBuildKernelData_Cuda_gen()
168 *use_3d_slices = basis_data->d_collo_grad_1d && (was_grad_found ? *use_3d_slices : true); in CeedOperatorBuildKernelData_Cuda_gen()
169 was_grad_found = true; in CeedOperatorBuildKernelData_Cuda_gen()
184 bool is_tensor = true, is_active = true; in CeedOperatorBuildKernelFieldData_Cuda_gen()
523 bool is_tensor = true, is_collocated = true; in CeedOperatorBuildKernelBasis_Cuda_gen()
1121 …bool is_all_tensor = true, is_all_nontensor = true, is_at_points = false, use_3… in CeedOperatorBuildKernel_Cuda_gen()
1146 bool has_shared_bases = true; in CeedOperatorBuildKernel_Cuda_gen()
1153 bool is_tensor = true; in CeedOperatorBuildKernel_Cuda_gen()
1176 bool is_tensor = true; in CeedOperatorBuildKernel_Cuda_gen()
1373 bool is_tensor = true; in CeedOperatorBuildKernel_Cuda_gen()
1391 input_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernel_Cuda_gen()
1397 input_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernel_Cuda_gen()
1414 bool is_tensor = true; in CeedOperatorBuildKernel_Cuda_gen()
1431 output_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernel_Cuda_gen()
1437 output_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernel_Cuda_gen()
1474 … max_dim, Q, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices, false)); in CeedOperatorBuildKernel_Cuda_gen()
1540 is_ordered[i] = true; in CeedOperatorBuildKernel_Cuda_gen()
1554 is_ordered[j] = true; in CeedOperatorBuildKernel_Cuda_gen()
1577 … max_dim, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices)); in CeedOperatorBuildKernel_Cuda_gen()
1580 …rnelBasis_Cuda_gen(code, data, tab, f, op_input_fields[f], qf_input_fields[f], max_dim, Q_1d, true, in CeedOperatorBuildKernel_Cuda_gen()
1621 *is_good_build = true; in CeedOperatorBuildKernel_Cuda_gen()
1625 data->use_fallback = true; in CeedOperatorBuildKernel_Cuda_gen()
1638 bool is_all_tensor = true, is_at_points = false, use_3d_slices = false; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1785 input_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1814 output_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1840 … max_dim, Q, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices, false)); in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1906 is_ordered[i] = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1920 is_ordered[j] = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1966 … max_dim, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices)); in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
1969 …rnelBasis_Cuda_gen(code, data, tab, f, op_input_fields[f], qf_input_fields[f], max_dim, Q_1d, true, in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
2005 …rnelBasis_Cuda_gen(code, data, tab, f, op_input_fields[f], qf_input_fields[f], max_dim, Q_1d, true, in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
2012 … Q_1d, is_all_tensor, is_at_points, use_3d_slices, true)); in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
2093 *is_good_build = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
2098 data->use_assembly_fallback = true; in CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen()
2111 return CeedOperatorBuildKernelAssemblyAtPoints_Cuda_gen(op, true, is_good_build); in CeedOperatorBuildKernelFullAssemblyAtPoints_Cuda_gen()
2118 …bool is_all_tensor = true, is_all_nontensor = true, is_at_points = false, use_3… in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2137 bool has_shared_bases = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2144 bool is_tensor = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2167 bool is_tensor = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2316 bool is_tensor = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2334 input_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2340 input_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2357 bool is_tensor = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2374 output_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2380 output_matrix_reuse[i].is_input = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2417 … max_dim, Q, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices, true)); in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2422 … max_dim, Q, Q_1d, false, is_all_tensor, is_at_points, use_3d_slices, true)); in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2483 is_ordered[i] = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2497 is_ordered[j] = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2548 … max_dim, Q_1d, true, is_all_tensor, is_at_points, use_3d_slices)); in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2551 …rnelBasis_Cuda_gen(code, data, tab, f, op_input_fields[f], qf_input_fields[f], max_dim, Q_1d, true, in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2620 … Q_1d, is_all_tensor, is_at_points, use_3d_slices, true)); in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2683 *is_good_build = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()
2687 data->use_assembly_fallback = true; in CeedOperatorBuildKernelLinearAssembleQFunction_Cuda_gen()