171afc33723ad7f0a061131ad85041cdf8f305e5,nara_wpe/wpe.py,,get_filter_matrix_conjugate_v3,#Any#Any#Any#Any#,120
Before Change
)
inv = np.linalg.inv(correlation_matrix)
inv = np.kron(np.eye(D), inv)
correlation_vector = np.reshape(correlation_vector, (D * D * K, 1))
selector = np.transpose(np.reshape(
After Change
stacked_filter_conj = np.reshape(
np.linalg.solve(
correlation_matrix[None, :, :],
np.reshape(correlation_vector, (D, D * K, 1))
),
(D * D * K, 1)
)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances
Project Name: fgnt/nara_wpe
Commit Name: 171afc33723ad7f0a061131ad85041cdf8f305e5
Time: 2017-06-28
Author: ldrude@mail.uni-paderborn.de
File Name: nara_wpe/wpe.py
Class Name:
Method Name: get_filter_matrix_conjugate_v3
Project Name: tensorly/tensorly
Commit Name: c06cea808b5f2a1d63827d6a37c5c4f2336417f1
Time: 2017-10-22
Author: jean.kossaifi@gmail.com
File Name: tensorly/backend/mxnet_backend.py
Class Name:
Method Name: kron
Project Name: ysig/GraKeL
Commit Name: de35f42a16796d9aab141dd944d79b1d97cec350
Time: 2018-08-23
Author: y.siglidis@gmail.com
File Name: grakel/kernels/random_walk.py
Class Name: RandomWalk
Method Name: pairwise_operation