cusparselt.pyx 20.3 KB
Newer Older
root's avatar
root 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
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
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
"""Thin wrapper for cuSPARSELt"""

cimport cython  # NOQA

from cpython.mem cimport PyMem_Malloc, PyMem_Free
from libc.stdint cimport int32_t, uint32_t, int64_t, intptr_t

from cupy_backends.cuda cimport stream as stream_module
from cupy_backends.cuda.api cimport driver

from cupy_backends.cuda.libs import cusparse as _cusparse


cdef extern from '../../cupy_cusparselt.h' nogil:
    ctypedef int cusparseStatus_t 'cusparseStatus_t'
    ctypedef int cusparseOrder_t 'cusparseOrder_t'
    ctypedef int cudaDataType 'cudaDataType'
    ctypedef int cusparseComputeType 'cusparseComputeType'

    # Opaque Data Structures
    ctypedef struct cusparseLtHandle_t 'cusparseLtHandle_t':
        pass
    ctypedef struct cusparseLtMatDescriptor_t 'cusparseLtMatDescriptor_t':
        pass
    ctypedef struct cusparseLtMatmulDescriptor_t 'cusparseLtMatmulDescriptor_t':  # NOQA
        pass
    ctypedef struct cusparseLtMatmulAlgSelection_t 'cusparseLtMatmulAlgSelection_t':  # NOQA
        pass
    ctypedef struct cusparseLtMatmulPlan_t 'cusparseLtMatmulPlan_t':
        pass

    # Enumerators
    ctypedef int cusparseLtSparsity_t 'cusparseLtSparsity_t'
    ctypedef int cusparseLtMatDescAttribute_t 'cusparseLtMatDescAttribute_t'
    ctypedef int cusparseLtMatmulDescAttribute_t 'cusparseLtMatmulDescAttribute_t'  # NOQA
    ctypedef int cusparseOperation_t 'cusparseOperation_t'
    ctypedef int cusparseLtMatmulAlg_t 'cusparseLtMatmulAlg_t'
    ctypedef int cusparseLtMatmulAlgAttribute_t 'cusparseLtMatmulAlgAttribute_t'  # NOQA
    ctypedef int cusparseLtPruneAlg_t 'cusparseLtPruneAlg_t'

    # Management Functions
    cusparseStatus_t cusparseLtInit(cusparseLtHandle_t* handle)
    cusparseStatus_t cusparseLtDestroy(const cusparseLtHandle_t* handle)

    # Matmul Functions
    cusparseStatus_t cusparseLtDenseDescriptorInit(
        const cusparseLtHandle_t* handle,
        cusparseLtMatDescriptor_t* matDescr,
        int64_t rows, int64_t cols, int64_t ld, uint32_t alignment,
        cudaDataType valueType, cusparseOrder_t order)
    cusparseStatus_t cusparseLtStructuredDescriptorInit(
        const cusparseLtHandle_t* handle,
        cusparseLtMatDescriptor_t* matDescr,
        int64_t rows, int64_t cols, int64_t ld, uint32_t alignment,
        cudaDataType valueType, cusparseOrder_t order,
        cusparseLtSparsity_t sparsity)
    cusparseStatus_t cusparseLtMatDescriptorDestroy(
        const cusparseLtMatDescriptor_t* matDescr)
    cusparseStatus_t cusparseLtMatDescSetAttribute(
        const cusparseLtHandle_t* handle,
        cusparseLtMatDescriptor_t* matDescr,
        cusparseLtMatDescAttribute_t matAttribute,
        const void* data, size_t dataSize)
    cusparseStatus_t cusparseLtMatDescGetAttribute(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatDescriptor_t* matDescr,
        cusparseLtMatDescAttribute_t matAttribute,
        void* data, size_t dataSize)
    cusparseStatus_t cusparseLtMatmulDescriptorInit(
        const cusparseLtHandle_t* handle,
        cusparseLtMatmulDescriptor_t* matMulDescr,
        cusparseOperation_t opA,
        cusparseOperation_t opB,
        const cusparseLtMatDescriptor_t* matA,
        const cusparseLtMatDescriptor_t* matB,
        const cusparseLtMatDescriptor_t* matC,
        const cusparseLtMatDescriptor_t* matD,
        cusparseComputeType computeType)
    cusparseStatus_t cusparseLtMatmulDescSetAttribute(
        const cusparseLtHandle_t* handle,
        cusparseLtMatmulDescriptor_t* matmulDescr,
        cusparseLtMatmulDescAttribute_t matmulAttribute,
        const void* data, size_t dataSize)
    cusparseStatus_t cusparseLtMatmulDescGetAttribute(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatmulDescriptor_t* matmulDescr,
        cusparseLtMatmulDescAttribute_t matmulAttribute,
        void* data, size_t dataSize)
    cusparseStatus_t cusparseLtMatmulAlgSelectionInit(
        const cusparseLtHandle_t* handle,
        cusparseLtMatmulAlgSelection_t* algSelection,
        const cusparseLtMatmulDescriptor_t* matmulDescr,
        cusparseLtMatmulAlg_t alg)
    cusparseStatus_t cusparseLtMatmulAlgSetAttribute(
        const cusparseLtHandle_t* handle,
        cusparseLtMatmulAlgSelection_t* algSelection,
        cusparseLtMatmulAlgAttribute_t attribute,
        const void* data, size_t ataSize)
    cusparseStatus_t cusparseLtMatmulGetWorkspace(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatmulAlgSelection_t* algSelection,
        size_t* workspaceSize)
    cusparseStatus_t cusparseLtMatmulPlanInit(
        const cusparseLtHandle_t* handle,
        cusparseLtMatmulPlan_t* plan,
        const cusparseLtMatmulDescriptor_t* matmulDescr,
        const cusparseLtMatmulAlgSelection_t* algSelection,
        size_t workspaceSize)
    cusparseStatus_t cusparseLtMatmulPlanDestroy(
        const cusparseLtMatmulPlan_t* plan)
    cusparseStatus_t cusparseLtMatmul(
        const cusparseLtHandle_t* handle, const cusparseLtMatmulPlan_t* plan,
        const void* alpha, const void* d_A, const void* d_B,
        const void* beta, const void* d_C, void* d_D,
        void* workspace, driver.Stream* streams, int32_t numStreams)

    # Helper Functions
    cusparseStatus_t cusparseLtSpMMAPrune(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatmulDescriptor_t* matmulDescr,
        const void* d_in, void* d_out,
        cusparseLtPruneAlg_t pruneAlg, driver.Stream stream)
    cusparseStatus_t cusparseLtSpMMAPruneCheck(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatmulDescriptor_t* matmulDescr,
        const void* d_in, int* valid, driver.Stream stream)
    cusparseStatus_t cusparseLtSpMMAPrune2(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatDescriptor_t* sparseMatDescr,
        int isSparseA, cusparseOperation_t op, const void* d_in,
        void* d_out, cusparseLtPruneAlg_t pruneAlg, driver.Stream stream)
    cusparseStatus_t cusparseLtSpMMAPruneCheck2(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatDescriptor_t* sparseMatDescr,
        int isSparseA, cusparseOperation_t op, const void* d_in, int* d_valid,
        driver.Stream stream)
    cusparseStatus_t cusparseLtSpMMACompressedSize(
        const cusparseLtHandle_t* handle, const cusparseLtMatmulPlan_t* plan,
        size_t* compressedSize)
    cusparseStatus_t cusparseLtSpMMACompress(
        const cusparseLtHandle_t* handle, const cusparseLtMatmulPlan_t* plan,
        const void* d_dense, void* d_compressed, driver.Stream stream)
    cusparseStatus_t cusparseLtSpMMACompressedSize2(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatDescriptor_t* sparseMatDescr,
        size_t* compressedSize)
    cusparseStatus_t cusparseLtSpMMACompress2(
        const cusparseLtHandle_t* handle,
        const cusparseLtMatDescriptor_t* sparseMatDescr,
        int isSparseA, cusparseOperation_t op, const void* d_dense,
        void* d_compressed, driver.Stream stream)

    # Build-time version
    int CUSPARSELT_VERSION


###############################################################################
# Classes
###############################################################################

cdef class Handle:
    cdef void * _ptr

    def __init__(self):
        self._ptr = PyMem_Malloc(sizeof(cusparseLtHandle_t))

    def __dealloc__(self):
        PyMem_Free(self._ptr)
        self._ptr = NULL

    @property
    def ptr(self):
        return <intptr_t>self._ptr


cdef class MatDescriptor:
    cdef void * _ptr

    def __init__(self):
        self._ptr = PyMem_Malloc(sizeof(cusparseLtMatDescriptor_t))

    def __dealloc__(self):
        PyMem_Free(self._ptr)
        self._ptr = NULL

    @property
    def ptr(self):
        return <intptr_t>self._ptr


cdef class MatmulDescriptor:
    cdef void * _ptr

    def __init__(self):
        self._ptr = PyMem_Malloc(sizeof(cusparseLtMatmulDescriptor_t))

    def __dealloc__(self):
        PyMem_Free(self._ptr)
        self._ptr = NULL

    @property
    def ptr(self):
        return <intptr_t>self._ptr


cdef class MatmulAlgSelection:
    cdef void * _ptr

    def __init__(self):
        self._ptr = PyMem_Malloc(sizeof(cusparseLtMatmulAlgSelection_t))

    def __dealloc__(self):
        PyMem_Free(self._ptr)
        self._ptr = NULL

    @property
    def ptr(self):
        return <intptr_t>self._ptr


cdef class MatmulPlan:
    cdef void * _ptr

    def __init__(self):
        self._ptr = PyMem_Malloc(sizeof(cusparseLtMatmulPlan_t))

    def __dealloc__(self):
        PyMem_Free(self._ptr)
        self._ptr = NULL

    @property
    def ptr(self):
        return <intptr_t>self._ptr


###############################################################################
# Error handling
###############################################################################

@cython.profile(False)
cpdef inline check_status(int status):
    if status != 0:
        raise _cusparse.CuSparseError(status)

###############################################################################
# cuSPARSELt: Library Management Functions
###############################################################################

cpdef init(Handle handle):
    """Initializes the cuSPARSELt library handle"""
    status = cusparseLtInit(<cusparseLtHandle_t*> handle._ptr)
    check_status(status)


cpdef destroy(Handle handle):
    """Releases hardware resources used by the cuSPARSELt library"""
    status = cusparseLtDestroy(<cusparseLtHandle_t*> handle._ptr)
    check_status(status)

###############################################################################
# cuSPARSELt: Matmul Functions
###############################################################################

cpdef denseDescriptorInit(Handle handle, MatDescriptor matDescr,
                          rows, cols, ld, alignment, valueType, order):
    """Initializes the descriptor of a dense matrix"""
    status = cusparseLtDenseDescriptorInit(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatDescriptor_t*> matDescr._ptr,
        <int64_t> rows, <int64_t> cols, <int64_t> ld, <uint32_t> alignment,
        <cudaDataType> valueType, <cusparseOrder_t> order)
    check_status(status)

cpdef structuredDescriptorInit(Handle handle, MatDescriptor matDescr,
                               rows, cols, ld, alignment, valueType, order,
                               sparsity):
    """Initializes the descriptor of a structured matrix."""
    status = cusparseLtStructuredDescriptorInit(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatDescriptor_t*> matDescr._ptr,
        <int64_t> rows, <int64_t> cols, <int64_t> ld, <uint32_t> alignment,
        <cudaDataType> valueType, <cusparseOrder_t> order,
        <cusparseLtSparsity_t> sparsity)
    check_status(status)

cpdef matDescriptorDestroy(MatDescriptor matDescr):
    """Releases the resources used by an instance of a matrix descriptor."""
    status = cusparseLtMatDescriptorDestroy(
        <const cusparseLtMatDescriptor_t*> matDescr._ptr)
    check_status(status)

cpdef matDescSetAttribute(Handle handle, MatDescriptor matDescr,
                          matAttribute, size_t data, size_t dataSize):
    """Sets the attribute related to matrix descriptor."""
    status = cusparseLtMatDescSetAttribute(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatDescriptor_t*> matDescr._ptr,
        <cusparseLtMatDescAttribute_t> matAttribute,
        <const void*> data, dataSize)
    check_status(status)

cpdef matDescGetAttribute(Handle handle, MatDescriptor matDescr,
                          matAttribute, size_t data, size_t dataSize):
    """Gets the attribute related to matrix descriptor."""
    status = cusparseLtMatDescGetAttribute(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatDescriptor_t*> matDescr._ptr,
        <cusparseLtMatDescAttribute_t> matAttribute,
        <void*> data, dataSize)
    check_status(status)

cpdef matmulDescriptorInit(Handle handle,
                           MatmulDescriptor matMulDescr,
                           opA, opB,
                           MatDescriptor matA,
                           MatDescriptor matB,
                           MatDescriptor matC,
                           MatDescriptor matD,
                           computeType):
    """Initializes the matrix multiplication descriptor."""
    status = cusparseLtMatmulDescriptorInit(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatmulDescriptor_t*> matMulDescr._ptr,
        <cusparseOperation_t> opA,
        <cusparseOperation_t> opB,
        <const cusparseLtMatDescriptor_t*> matA._ptr,
        <const cusparseLtMatDescriptor_t*> matB._ptr,
        <const cusparseLtMatDescriptor_t*> matC._ptr,
        <const cusparseLtMatDescriptor_t*> matD._ptr,
        <cusparseComputeType> computeType)
    check_status(status)

cpdef matmulDescSetAttribute(Handle handle, MatmulDescriptor matmulDescr,
                             matmulAttribute, size_t data, size_t dataSize):
    """Sets the attribute related to matmul descriptor."""
    status = cusparseLtMatmulDescSetAttribute(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <cusparseLtMatmulDescAttribute_t> matmulAttribute,
        <const void*> data, dataSize)
    check_status(status)

cpdef matmulDescGetAttribute(Handle handle, MatmulDescriptor matmulDescr,
                             matmulAttribute, size_t data, size_t dataSize):
    """Gets the attribute related to matmul descriptor."""
    status = cusparseLtMatmulDescGetAttribute(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <cusparseLtMatmulDescAttribute_t> matmulAttribute,
        <void*> data, dataSize)
    check_status(status)

cpdef matmulAlgSelectionInit(Handle handle, MatmulAlgSelection algSelection,
                             MatmulDescriptor matmulDescr, alg):
    """Initializes the algorithm selection descriptor."""
    status = cusparseLtMatmulAlgSelectionInit(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatmulAlgSelection_t*> algSelection._ptr,
        <const cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <cusparseLtMatmulAlg_t> alg)
    check_status(status)

cpdef matmulAlgSetAttribute(Handle handle, MatmulAlgSelection algSelection,
                            attribute, size_t data, size_t dataSize):
    """Sets the attribute related to algorithm selection descriptor."""
    status = cusparseLtMatmulAlgSetAttribute(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatmulAlgSelection_t*> algSelection._ptr,
        <cusparseLtMatmulAlgAttribute_t> attribute,
        <const void*> data, <size_t> dataSize)
    check_status(status)

cpdef size_t matmulGetWorkspace(Handle handle,
                                MatmulAlgSelection algSelection):
    """Determines the required workspace size"""
    cdef size_t workspaceSize
    status = cusparseLtMatmulGetWorkspace(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulAlgSelection_t*> algSelection._ptr,
        &workspaceSize)
    check_status(status)
    return workspaceSize

cpdef matmulPlanInit(Handle handle, MatmulPlan plan,
                     MatmulDescriptor matmulDescr,
                     MatmulAlgSelection algSelection,
                     size_t workspaceSize):
    """Initializes the plan."""
    status = cusparseLtMatmulPlanInit(
        <const cusparseLtHandle_t*> handle._ptr,
        <cusparseLtMatmulPlan_t*> plan._ptr,
        <const cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <const cusparseLtMatmulAlgSelection_t*> algSelection._ptr,
        <size_t> workspaceSize)
    check_status(status)

cpdef matmulPlanDestroy(MatmulPlan plan):
    """Destroys plan"""
    status = cusparseLtMatmulPlanDestroy(
        <const cusparseLtMatmulPlan_t*> plan._ptr)
    check_status(status)

cpdef matmul(Handle handle, MatmulPlan plan,
             size_t alpha, size_t d_A, size_t d_B,
             size_t beta, size_t d_C, size_t d_D, size_t workspace):
    """Computes the matrix multiplication"""
    status = cusparseLtMatmul(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulPlan_t*> plan._ptr,
        <const void*> alpha, <const void*> d_A, <const void*> d_B,
        <const void*> beta, <const void*> d_C, <void*> d_D,
        <void*> workspace, <driver.Stream*> NULL, <int32_t> 0)
    check_status(status)

###############################################################################
# cuSPARSELt: Helper Functions
###############################################################################

cpdef spMMAPrune(Handle handle, MatmulDescriptor matmulDescr,
                 size_t d_in, size_t d_out, pruneAlg):
    """Prunes a dense matrix d_in"""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMAPrune(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <const void*> d_in, <void*> d_out,
        <cusparseLtPruneAlg_t> pruneAlg, <driver.Stream> stream)
    check_status(status)

cpdef spMMAPruneCheck(Handle handle, MatmulDescriptor matmulDescr,
                      size_t d_in, size_t valid):
    """Checks the correctness of the pruning structure"""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMAPruneCheck(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulDescriptor_t*> matmulDescr._ptr,
        <const void*> d_in, <int*> valid, <driver.Stream> stream)
    check_status(status)

cpdef spMMAPrune2(Handle handle, MatDescriptor sparseMatDescr, isSparseA,
                  op, size_t d_in, size_t d_out, pruneAlg):
    """Prunes a dense matrix d_in"""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMAPrune2(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatDescriptor_t*> sparseMatDescr._ptr,
        <int> isSparseA, <cusparseOperation_t> op, <const void*> d_in,
        <void*> d_out, <cusparseLtPruneAlg_t> pruneAlg, <driver.Stream> stream)
    check_status(status)

cpdef spMMAPruneCheck2(Handle handle, MatDescriptor sparseMatDescr, isSparseA,
                       op, size_t d_in, size_t d_valid):
    """Checks the correctness of the pruning structure"""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMAPruneCheck2(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatDescriptor_t*> sparseMatDescr._ptr,
        <int> isSparseA, <cusparseOperation_t> op, <const void*> d_in,
        <int*> d_valid, <driver.Stream> stream)
    check_status(status)

cpdef size_t spMMACompressedSize(Handle handle, MatmulPlan plan):
    """Provides the size of the compressed matrix"""
    cdef size_t compressedSize
    status = cusparseLtSpMMACompressedSize(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulPlan_t*> plan._ptr,
        &compressedSize)
    check_status(status)
    return compressedSize

cpdef spMMACompress(Handle handle, MatmulPlan plan,
                    size_t d_dense, size_t d_compressed):
    """Compresses a dense matrix d_dense."""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMACompress(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatmulPlan_t*> plan._ptr,
        <const void*> d_dense, <void*> d_compressed, <driver.Stream> stream)
    check_status(status)

cpdef size_t spMMACompressedSize2(Handle handle, MatDescriptor sparseMatDescr):
    """Provides the size of the compressed matrix"""
    cdef size_t compressedSize
    status = cusparseLtSpMMACompressedSize2(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatDescriptor_t*> sparseMatDescr._ptr,
        &compressedSize)
    check_status(status)
    return compressedSize

cpdef spMMACompress2(Handle handle, MatDescriptor sparseMatDescr,
                     isSparseA, op, size_t d_dense, size_t d_compressed):
    """Compresses a dense matrix d_dense."""
    cdef intptr_t stream = stream_module.get_current_stream_ptr()
    status = cusparseLtSpMMACompress2(
        <const cusparseLtHandle_t*> handle._ptr,
        <const cusparseLtMatDescriptor_t*> sparseMatDescr._ptr,
        <int> isSparseA, <cusparseOperation_t> op, <const void*> d_dense,
        <void*> d_compressed, <driver.Stream> stream)
    check_status(status)


def get_build_version():
    return CUSPARSELT_VERSION