import daal4py as d4p
import pickle
import numpy as np
import sklearn.decomposition as skdec


tensor = np.load('test.npy')

norm_alg = d4p.normalization_minmax()
norm_result = norm_alg.compute(tensor)
pca_algorithm = d4p.pca(isDeterministic=True, resultsToCompute="mean|variance|eigenvalue", method = 'svdDense', nComponents = 3)
pca_result = pca_algorithm.compute(norm_result.normalizedData)

skpca = skdec.PCA(n_components=3)
skpca_result = skpca.fit(norm_result.normalizedData)

print(f'Intel engvals = {pca_result.eigenvalues[0]}')
print(f'Sklearn engvals = {skpca_result.singular_values_}')