def test_apply_colwise(self):
A = El.DistMatrix(El.dTag, El.VR, El.STAR)
# FIXME: Christos, use your matrix problem factory here
El.Uniform(A, _M, _N)
# FIXME: A.Matrix will not work in parallel
self.sv = np.linalg.svd(A.Matrix().ToNumPy(), full_matrices=1, compute_uv=0)
for sketch in self.sketches:
results = test_helper(A, _M, _N, _R, sketch, [self.svd_bound], MPI)
self.check_result(results, str(sketch))
def test_apply_rowwise(self):
A = elem.DistMatrix_d_VR_STAR()
#FIXME: Christos, use your matrix problem factory here
elem.Uniform(A, _N, _M)
#FIXME: A.Matrix will not work in parallel
self.sv = np.linalg.svd(A.Matrix, full_matrices=1, compute_uv=0)
for sketch in self.sketches:
results = test_helper(A, _N, _M, _R, sketch, [self.svd_bound], MPI, 5, "rowwise")
self.check_result(results, str(sketch))
def test_apply_colwise(self):
A = elem.DistMatrix_d_VR_STAR()
#FIXME: Christos, use your matrix problem factory here
elem.Uniform(A, _M, _N)
#FIXME: A.Matrix will not work in parallel
self.sv = np.linalg.svd(A.Matrix, full_matrices=1, compute_uv=0)
for sketch in self.sketches:
results = test_helper(A, _M, _N, _R, sketch, [self.svd_bound], MPI)
self.check_result(results, str(sketch))
def test_apply_rowwise(self):
A = El.DistMatrix(El.dTag, El.VR, El.STAR)
#FIXME: Christos, use your matrix problem factory here
El.Uniform(A, _N, _M)
#FIXME: A.Matrix will not work in parallel
self.sv = np.linalg.svd(A.Matrix().ToNumPy(),
full_matrices=1,
compute_uv=0)
for sketch in self.sketches:
results = test_helper(A, _N, _M, _R, sketch, [self.svd_bound], MPI,
5, "rowwise")
self.check_result(results, str(sketch))
