# Creating Frovedis server side crs matrix from scipy data
# "mat" can be any sparse matrix or array-like python object
fmat = FrovedisCRSMatrix(mat)
# Viewing the created matrix (for debugging)
fmat.debug_print()
# sparse to dense conversion at server side
print("crs -> rowmajor")
fmat.to_frovedis_rowmajor_matrix().debug_print()
print("crs -> colmajor")
fmat.to_frovedis_colmajor_matrix().debug_print()
# Saving the created matrix
fmat.save("./out/crs_3x3")
# asCRS demo
asmat = FrovedisCRSMatrix.asCRS(
fmat) # no constructor (returns self) + no destructor
asmat.debug_print()
asmat = FrovedisCRSMatrix.asCRS(
mat) # constructor (creates and returns) + no destructor
asmat.debug_print()
asmat = FrovedisCRSMatrix.asCRS(
mat) # constructor (creates and returns) + destructor for above object
asmat.debug_print()
tmat = fmat.transpose()
tmat.save("./out/trans_crs_3x3")
import os
import numpy as np
from scipy.sparse import csr_matrix
from frovedis.exrpc.server import FrovedisServer
from frovedis.matrix.crs import FrovedisCRSMatrix
# sample 3x3 scipy csr matrix creation
data = np.array([1, 2, 3, 4, 5, 6])
indices = np.array([0, 2, 2, 0, 1, 2])
indptr = np.array([0, 2, 3, 6])
mat = csr_matrix((data, indices, indptr), dtype=np.float64, shape=(3, 3))
FrovedisServer.initialize("mpirun -np 2 {}".format(
os.environ['FROVEDIS_SERVER']))
print("-- matrix created from scipy csr matrix --")
fmat = FrovedisCRSMatrix(mat)
fmat.debug_print()
fmat.save("./result")
fmat.release()
print("\n-- matrix loaded from text file --")
fmat2 = FrovedisCRSMatrix().load_text("./result")
fmat2.debug_print()
fmat2.release()
FrovedisServer.shut_down()