xref: /petsc/src/mat/impls/aij/seq/hdf5/aijhdf5.c (revision e91c04dfc8a52dee1965211bb1cc8e5bf775178f)
1 #include <../src/mat/impls/aij/seq/aij.h>
2 #include <petsc/private/isimpl.h>
3 #include <petsc/private/vecimpl.h>
4 #include <petsclayouthdf5.h>
5 
6 PetscErrorCode MatLoad_AIJ_HDF5(Mat mat, PetscViewer viewer)
7 {
8   PetscViewerFormat  format;
9   const PetscInt    *i_glob = NULL;
10   PetscInt          *i      = NULL;
11   const PetscInt    *j      = NULL;
12   const PetscScalar *a      = NULL;
13   char              *a_name = NULL, *i_name = NULL, *j_name = NULL, *c_name = NULL;
14   const char        *mat_name = NULL;
15   PetscInt           p, m, M, N;
16   PetscInt           bs = mat->rmap->bs;
17   PetscInt          *range;
18   PetscBool          flg;
19   IS                 is_i = NULL, is_j = NULL;
20   Vec                vec_a = NULL;
21   PetscLayout        jmap  = NULL;
22   MPI_Comm           comm;
23   PetscMPIInt        rank, size;
24 
25   PetscFunctionBegin;
26   PetscCall(PetscViewerGetFormat(viewer, &format));
27   switch (format) {
28   case PETSC_VIEWER_HDF5_PETSC:
29   case PETSC_VIEWER_DEFAULT:
30   case PETSC_VIEWER_NATIVE:
31   case PETSC_VIEWER_HDF5_MAT:
32     break;
33   default:
34     SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "PetscViewerFormat %s not supported for HDF5 input.", PetscViewerFormats[format]);
35   }
36 
37   PetscCall(PetscObjectGetComm((PetscObject)mat, &comm));
38   PetscCallMPI(MPI_Comm_rank(comm, &rank));
39   PetscCallMPI(MPI_Comm_size(comm, &size));
40   PetscCall(PetscObjectGetName((PetscObject)mat, &mat_name));
41   if (format == PETSC_VIEWER_HDF5_MAT) {
42     PetscCall(PetscStrallocpy("jc", &i_name));
43     PetscCall(PetscStrallocpy("ir", &j_name));
44     PetscCall(PetscStrallocpy("data", &a_name));
45     PetscCall(PetscStrallocpy("MATLAB_sparse", &c_name));
46   } else {
47     /* TODO Once corresponding MatView is implemented, change the names to i,j,a */
48     /* TODO Maybe there could be both namings in the file, using "symbolic link" features of HDF5. */
49     PetscCall(PetscStrallocpy("jc", &i_name));
50     PetscCall(PetscStrallocpy("ir", &j_name));
51     PetscCall(PetscStrallocpy("data", &a_name));
52     PetscCall(PetscStrallocpy("MATLAB_sparse", &c_name));
53   }
54 
55   PetscOptionsBegin(comm, NULL, "Options for loading matrix from HDF5", "Mat");
56   PetscCall(PetscOptionsInt("-matload_block_size", "Set the blocksize used to store the matrix", "MatLoad", bs, &bs, &flg));
57   PetscOptionsEnd();
58   if (flg) PetscCall(MatSetBlockSize(mat, bs));
59 
60   PetscCall(PetscViewerHDF5PushGroup(viewer, mat_name));
61   PetscCall(PetscViewerHDF5ReadAttribute(viewer, NULL, c_name, PETSC_INT, NULL, &N));
62   PetscCall(PetscViewerHDF5ReadSizes(viewer, i_name, NULL, &M));
63   --M; /* i has size M+1 as there is global number of nonzeros stored at the end */
64 
65   if (format == PETSC_VIEWER_HDF5_MAT && mat->symmetric != PETSC_BOOL3_TRUE) {
66     /* Swap row and columns layout for unallocated matrix. I want to avoid calling MatTranspose() just to transpose sparsity pattern and layout. */
67     if (!mat->preallocated) {
68       PetscLayout tmp;
69       tmp       = mat->rmap;
70       mat->rmap = mat->cmap;
71       mat->cmap = tmp;
72     } else SETERRQ(comm, PETSC_ERR_SUP, "Not for preallocated matrix - we would need to transpose it here which we want to avoid");
73   }
74 
75   /* If global sizes are set, check if they are consistent with that given in the file */
76   PetscCheck(mat->rmap->N < 0 || mat->rmap->N == M, PETSC_COMM_SELF, PETSC_ERR_FILE_UNEXPECTED, "Inconsistent # of rows: Matrix in file has (%" PetscInt_FMT ") and input matrix has (%" PetscInt_FMT ")", mat->rmap->N, M);
77   PetscCheck(mat->cmap->N < 0 || mat->cmap->N == N, PETSC_COMM_SELF, PETSC_ERR_FILE_UNEXPECTED, "Inconsistent # of cols: Matrix in file has (%" PetscInt_FMT ") and input matrix has (%" PetscInt_FMT ")", mat->cmap->N, N);
78 
79   /* Determine ownership of all (block) rows and columns */
80   mat->rmap->N = M;
81   mat->cmap->N = N;
82   PetscCall(PetscLayoutSetUp(mat->rmap));
83   PetscCall(PetscLayoutSetUp(mat->cmap));
84   m = mat->rmap->n;
85 
86   /* Read array i (array of row indices) */
87   PetscCall(PetscMalloc1(m + 1, &i)); /* allocate i with one more position for local number of nonzeros on each rank */
88   i[0] = i[m] = 0;                    /* make the last entry always defined - the code block below overwrites it just on last rank */
89   if (rank == size - 1) m++;          /* in the loaded array i_glob, only the last rank has one more position with the global number of nonzeros */
90   M++;
91   PetscCall(ISCreate(comm, &is_i));
92   PetscCall(PetscObjectSetName((PetscObject)is_i, i_name));
93   PetscCall(PetscLayoutSetLocalSize(is_i->map, m));
94   PetscCall(PetscLayoutSetSize(is_i->map, M));
95   PetscCall(ISLoad(is_i, viewer));
96   PetscCall(ISGetIndices(is_i, &i_glob));
97   PetscCall(PetscArraycpy(i, i_glob, m));
98 
99   /* Reset m and M to the matrix sizes */
100   m = mat->rmap->n;
101   M--;
102 
103   /* Create PetscLayout for j and a vectors; construct ranges first */
104   PetscCall(PetscMalloc1(size + 1, &range));
105   PetscCallMPI(MPI_Allgather(i, 1, MPIU_INT, range, 1, MPIU_INT, comm));
106   /* Last rank has global number of nonzeros (= length of j and a arrays) in i[m] (last i entry) so broadcast it */
107   range[size] = i[m];
108   PetscCallMPI(MPI_Bcast(&range[size], 1, MPIU_INT, size - 1, comm));
109   for (p = size - 1; p > 0; p--) {
110     if (!range[p]) range[p] = range[p + 1]; /* for ranks with 0 rows, take the value from the next processor */
111   }
112   i[m] = range[rank + 1]; /* i[m] (last i entry) is equal to next rank's offset */
113   /* Deduce rstart, rend, n and N from the ranges */
114   PetscCall(PetscLayoutCreateFromRanges(comm, range, PETSC_OWN_POINTER, 1, &jmap));
115 
116   /* Convert global to local indexing of rows */
117   for (p = 1; p < m + 1; ++p) i[p] -= i[0];
118   i[0] = 0;
119 
120   /* Read array j (array of column indices) */
121   PetscCall(ISCreate(comm, &is_j));
122   PetscCall(PetscObjectSetName((PetscObject)is_j, j_name));
123   PetscCall(PetscLayoutDuplicate(jmap, &is_j->map));
124   PetscCall(ISLoad(is_j, viewer));
125   PetscCall(ISGetIndices(is_j, &j));
126 
127   /* Read array a (array of values) */
128   PetscCall(VecCreate(comm, &vec_a));
129   PetscCall(PetscObjectSetName((PetscObject)vec_a, a_name));
130   PetscCall(PetscLayoutDuplicate(jmap, &vec_a->map));
131   PetscCall(VecLoad(vec_a, viewer));
132   PetscCall(VecGetArrayRead(vec_a, &a));
133 
134   /* populate matrix */
135   if (!((PetscObject)mat)->type_name) PetscCall(MatSetType(mat, MATAIJ));
136   PetscCall(MatSeqAIJSetPreallocationCSR(mat, i, j, a));
137   PetscCall(MatMPIAIJSetPreallocationCSR(mat, i, j, a));
138   /*
139   PetscCall(MatSeqBAIJSetPreallocationCSR(mat,bs,i,j,a));
140   PetscCall(MatMPIBAIJSetPreallocationCSR(mat,bs,i,j,a));
141   */
142 
143   if (format == PETSC_VIEWER_HDF5_MAT && mat->symmetric != PETSC_BOOL3_TRUE) {
144     /* Transpose the input matrix back */
145     PetscCall(MatTranspose(mat, MAT_INPLACE_MATRIX, &mat));
146   }
147 
148   PetscCall(PetscViewerHDF5PopGroup(viewer));
149   PetscCall(PetscFree(i_name));
150   PetscCall(PetscFree(j_name));
151   PetscCall(PetscFree(a_name));
152   PetscCall(PetscFree(c_name));
153   PetscCall(PetscLayoutDestroy(&jmap));
154   PetscCall(PetscFree(i));
155   PetscCall(ISRestoreIndices(is_i, &i_glob));
156   PetscCall(ISRestoreIndices(is_j, &j));
157   PetscCall(VecRestoreArrayRead(vec_a, &a));
158   PetscCall(ISDestroy(&is_i));
159   PetscCall(ISDestroy(&is_j));
160   PetscCall(VecDestroy(&vec_a));
161   PetscFunctionReturn(PETSC_SUCCESS);
162 }
163