740
32%

Ran 02 Mar 2015 07:14PM UTC

Jobs 2

Files 82

Run time 5min

Badge

Embed ▾

pending completion

Build # 740

Build Type

push

travis-ci

Committed by

ddemidov

Commit Message

Implemented tensor dot product operation

Given two tensors (arrays of dimension greater than or equal to one),
A and B, and a list of axes pairs (where each pair represents corresponding
axes from two tensors), sums the products of A's and B's elements over the
given axes.

Inspired by python's numpy.tensordot operation.

For example, with tensordot a dense matrix-matrix product may be represented as:

    slicer<2> Adim(extents[N][M]);
    slicer<2> Bdim(extents[M][L]);

    // C = A * B
    C = tensordot(Adim[_](A), Bdim[_](B), axes_pairs(1, 0));

This should perform better than the following combination of reshape and
reduce (see #31):

    C = reduce<SUM>(
                extents[N][M][L],
                reshape(A, extents[N][M][L], extents[0][1]) *
                reshape(B, extents[N][M][L], extents[1][2]),
                extents[1]
                );

Run Details

13228 of 13734 relevant lines covered (96.32%)

67697.66 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
1	740.1	02 Mar 2015 07:19PM UTC	0	96.82	Travis Job 740.1
2	740.2	02 Mar 2015 07:14PM UTC	0	94.09	Travis Job 740.2

Source Files on build 740

Detailed source file information is not available for this build.

ddemidov / vexcl / 740
32%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 740

ddemidov / vexcl / 740 32%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 740

ddemidov / vexcl / 740
32%

README BADGES
x