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svd_spmd.py
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# ==============================================================================
# Copyright 2014 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# daal4py SVD example for distributed memory systems; SPMD mode
# run like this:
# mpirun -n 4 python ./svd_spmd.py
from pathlib import Path
from numpy import allclose, loadtxt
import daal4py as d4p
def main():
# Each process gets its own data
data_path = Path(__file__).parent / "data" / "distributed"
infile = data_path / f"svd_{d4p.my_procid()+ 1}.csv"
# configure a SVD object
algo = d4p.svd(distributed=True)
# let's provide a file directly, not a table/array
result1 = algo.compute(str(infile))
# We can also load the data ourselfs and provide the numpy array
data = loadtxt(infile, delimiter=",")
result2 = algo.compute(data)
# SVD result objects provide leftSingularMatrix,
# rightSingularMatrix and singularValues
assert result1.leftSingularMatrix.shape == data.shape
assert result1.singularValues.shape == (1, data.shape[1])
assert result1.rightSingularMatrix.shape == (data.shape[1], data.shape[1])
assert allclose(result1.leftSingularMatrix, result2.leftSingularMatrix, atol=1e-05)
assert allclose(result1.rightSingularMatrix, result2.rightSingularMatrix, atol=1e-05)
assert allclose(result1.singularValues, result2.singularValues, atol=1e-05)
return data, result1
if __name__ == "__main__":
# Initialize SPMD mode
d4p.daalinit()
(_, result) = main()
# result is available on all processes - but we print only on root
if d4p.my_procid() == 0:
print(
"\nEach process has singularValues and rightSingularMatrix "
"but only his part of leftSingularMatrix:\n"
)
print(result)
print("All looks good!")
d4p.daalfini()