3dba9054b3c7bf4b9edabb430eb457a07e05b6ca,tensorly/mps_tensor.py,,mps_to_tensor,#Any#,8

Before Change


    D = len(n_mode_dimensions)

    (r0, n1, r1) = factors[0].shape
    output_tensor = factors[0]
    output_tensor = tl.reshape(output_tensor, (n1, r1))

    for k in range(1, D):

        (r_prev, n_k, r_k) = factors[k].shape
        G_k = tl.reshape(factors[k], (r_prev, n_k * r_k))

        output_tensor = tl.dot(output_tensor, G_k)
        output_tensor = tl.reshape(output_tensor, (-1, r_k))

    output_tensor = tl.reshape(output_tensor, n_mode_dimensions)

After Change


    output_tensor: ndarray
                   tensor whose MPS/TT decomposition was given by "factors"
    
    full_shape = [f.shape[1] for f in factors]
    full_tensor = tl.reshape(factors[0], (full_shape[0], -1))

    for factor in factors[1:]:
        rank_prev, _, rank_next = factor.shape
        factor = tl.reshape(factor, (rank_prev, -1))
        full_tensor = tl.dot(full_tensor, factor)
        full_tensor = tl.reshape(full_tensor, (-1, rank_next))

    return tl.reshape(full_tensor, full_shape)

Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 12

Instances


Project Name: tensorly/tensorly
Commit Name: 3dba9054b3c7bf4b9edabb430eb457a07e05b6ca
Time: 2018-07-05
Author: jean.kossaifi@gmail.com
File Name: tensorly/mps_tensor.py
Class Name:
Method Name: mps_to_tensor


Project Name: OpenNMT/OpenNMT-py
Commit Name: 26421ce20c6b626ceacafbb3282cad1d5dce04ca
Time: 2017-07-30
Author: bpeters@coli.uni-saarland.de
File Name: onmt/Models.py
Class Name: Embeddings
Method Name: forward


Project Name: biolab/orange3
Commit Name: c79669f77f9564fd035e7926b4423342db37b2c9
Time: 2017-05-26
Author: jerneju@gmail.com
File Name: Orange/widgets/data/owmergedata.py
Class Name: OWMergeData
Method Name: _join_array_by_indices