def makeMap(self):
self.map = pti.new("ptiIndex **")
self.map = pti.cast("ptiIndex **",
PTI.malloc(2 * pti.sizeof(self.map)))
self.map[0] = pti.cast(
"ptiIndex *",
PTI.malloc(self.address.nrows * pti.sizeof(pti.new("ptiIndex *"))))
for i in range(self.address.nrows):
self.map[0][i] = i
self.map[1] = pti.cast(
"ptiIndex *",
PTI.malloc(self.address.ncols * pti.sizeof(pti.new("ptiIndex *"))))
for i in range(self.address.ncols):
self.map[1][i] = i
def __init__(self, ncols, nrows):
self.nthreads = (int)(os.popen('grep -c cores /proc/cpuinfo').read())
print(self.nthreads)
self.address = pti.cast(
"ptiMatrix *",
PTI.malloc(self.nthreads * pti.sizeof(pti.new("ptiMatrix *"))))
PTI.ptiMakeMatrixBuff(self.address, ncols, nrows)
def __init__(self, size):
self.nthreads = (int)(os.popen('grep -c cores /proc/cpuinfo').read())
print(self.nthreads)
self.address = pti.cast(
"ptiValueVector *",
PTI.malloc(self.nthreads *
pti.sizeof(pti.new("ptiValueVector *"))))
PTI.ptiMakeVectorBuff(self.address, size)
def convert(self, type="", blockbits=7, superblockbits=7):
if (type == "hicoo"):
result = HiCOOMatrix()
nnz = pti.new("uint64_t *", self.nnz())
PTI.ptiSparseMatrixToHiCOO(result.address, nnz, self.address,
blockbits, superblockbits)
elif (type == "csr"):
result = CSRMatrix()
PTI.ptiSparseMatrixToCSR(result.address, self.address)
elif (type == "dense"):
result = DenseMatrix(self.address.nrows, self.address.ncols)
for i in range(self.address.nnz):
m = self.address.rowind.data[i]
n = self.address.colind.data[i]
data = self.address.values.data[i]
result.setValue(m, n, data)
else:
print("[ERROR] Wrong sparse matrix type.")
return result
def __init__(self):
self.address = pti.new("ptiSparseTensor *")
self.dimentions = 0
self.nthreads = (int)(os.popen('grep -c cores /proc/cpuinfo').read())
def __init__(self):
self.address = pti.new("ptiSemiSparseTensorGeneral *")
def __init__(self):
self.address = pti.new("ptiSparseTensorHiCOO *")
def __init__(self, length):
self.address = pti.new("ptiValueVector *")
PTI.ptiNewValueVector(self.address, length, length)
def __init__(self, length):
self.address = pti.new("ptiNnzIndexVector *")
PTI.ptiNewNnzIndexVector(self.address, length, length)
def __init__(self):
self.address = pti.new("ptiSparseMatrix *")
self.nthreads = (int)(os.popen('grep -c cores /proc/cpuinfo').read())
self.map = None
def __init__(self, nrows, ncols):
self.address = pti.new("ptiMatrix *")
PTI.ptiNewMatrix(self.address, nrows, ncols)
PTI.ptiConstantMatrix(self.address, 0)
def __init__(self):
self.address = pti.new("ptiSparseMatrixCSR *")