Skip to content

GitLab

"tests/python/vscode:/vscode.git/clone" did not exist on "93b39729ee02693cd6315dd4dadd8e3e624e1d6b"
Switch branch/tag
Find file Normal viewHistoryPermalink
array_op.h 3.46 KB
Newer Older
Minjie Wang's avatar
[Refactor] Separating graph and sparse matrix operations (#699)  
Minjie Wang committed
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 
/*!
 *  Copyright (c) 2019 by Contributors
 * \file array/array_op.h
 * \brief Array operator templates
 */
#ifndef DGL_ARRAY_ARRAY_OP_H_
#define DGL_ARRAY_ARRAY_OP_H_

#include <dgl/array.h>
#include <vector>

namespace dgl {
namespace aten {
namespace impl {

template <DLDeviceType XPU, typename IdType>
IdArray Full(IdType val, int64_t length, DLContext ctx);

template <DLDeviceType XPU, typename IdType>
IdArray Range(IdType low, IdType high, DLContext ctx);

template <DLDeviceType XPU, typename IdType>
IdArray AsNumBits(IdArray arr, uint8_t bits);

template <DLDeviceType XPU, typename IdType, typename Op>
IdArray BinaryElewise(IdArray lhs, IdArray rhs);

template <DLDeviceType XPU, typename IdType, typename Op>
IdArray BinaryElewise(IdArray lhs, IdType rhs);

template <DLDeviceType XPU, typename IdType, typename Op>
IdArray BinaryElewise(IdType lhs, IdArray rhs);

template <DLDeviceType XPU, typename IdType>
IdArray HStack(IdArray arr1, IdArray arr2);

template <DLDeviceType XPU, typename IdType>
IdArray IndexSelect(IdArray array, IdArray index);

template <DLDeviceType XPU, typename IdType>
int64_t IndexSelect(IdArray array, int64_t index);

template <DLDeviceType XPU, typename IdType>
IdArray Relabel_(const std::vector<IdArray>& arrays);

// sparse arrays

template <DLDeviceType XPU, typename IdType>
bool CSRIsNonZero(CSRMatrix csr, int64_t row, int64_t col);

template <DLDeviceType XPU, typename IdType>
runtime::NDArray CSRIsNonZero(CSRMatrix csr, runtime::NDArray row, runtime::NDArray col);

template <DLDeviceType XPU, typename IdType>
bool CSRHasDuplicate(CSRMatrix csr);

template <DLDeviceType XPU, typename IdType>
int64_t CSRGetRowNNZ(CSRMatrix csr, int64_t row);

template <DLDeviceType XPU, typename IdType>
runtime::NDArray CSRGetRowNNZ(CSRMatrix csr, runtime::NDArray row);

template <DLDeviceType XPU, typename IdType>
runtime::NDArray CSRGetRowColumnIndices(CSRMatrix csr, int64_t row);

template <DLDeviceType XPU, typename IdType, typename DType>
runtime::NDArray CSRGetRowData(CSRMatrix csr, int64_t row);

template <DLDeviceType XPU, typename IdType, typename DType>
runtime::NDArray CSRGetData(CSRMatrix csr, int64_t row, int64_t col);

template <DLDeviceType XPU, typename IdType, typename DType>
runtime::NDArray CSRGetData(CSRMatrix csr, runtime::NDArray rows, runtime::NDArray cols);

template <DLDeviceType XPU, typename IdType, typename DType>
std::vector<runtime::NDArray> CSRGetDataAndIndices(
    CSRMatrix csr, runtime::NDArray rows, runtime::NDArray cols);

template <DLDeviceType XPU, typename IdType, typename DType>
CSRMatrix CSRTranspose(CSRMatrix csr);

// Convert CSR to COO
template <DLDeviceType XPU, typename IdType>
COOMatrix CSRToCOO(CSRMatrix csr);

// Convert CSR to COO using data array as order
template <DLDeviceType XPU, typename IdType>
COOMatrix CSRToCOODataAsOrder(CSRMatrix csr);

template <DLDeviceType XPU, typename IdType, typename DType>
CSRMatrix CSRSliceRows(CSRMatrix csr, int64_t start, int64_t end);

template <DLDeviceType XPU, typename IdType, typename DType>
CSRMatrix CSRSliceRows(CSRMatrix csr, runtime::NDArray rows);

template <DLDeviceType XPU, typename IdType, typename DType>
CSRMatrix CSRSliceMatrix(CSRMatrix csr, runtime::NDArray rows, runtime::NDArray cols);

template <DLDeviceType XPU, typename IdType>
bool COOHasDuplicate(COOMatrix coo);

template <DLDeviceType XPU, typename IdType, typename DType>
CSRMatrix COOToCSR(COOMatrix coo);

}  // namespace impl
}  // namespace aten
}  // namespace dgl

#endif  // DGL_ARRAY_ARRAY_OP_H_