dhermes / berkeley-m273-s2016 / 112 / 1

100%

master: 100%

push

travis-ci

Using NumPy's MATMUL in dg1.

The comment explains that CBLAS is used when it can be [1]
but the typical MATMUL is just naive [2] hence the flops
occur based on the numerical type.

[1]: https://github.com/numpy/numpy/blob/<a class=hub.com/dhermes/berkeley-m273-s2016/commit/89d95a0660ffd5890916edb78a6d4a9ccb5b3ad0">89d95a066/numpy/core/src/multiarray/multiarraymodule.c#L934
[2]: https://github.com/numpy/numpy/blob/89d95a0660ffd5890916edb78a6d4a9ccb5b3ad0/numpy/core/src/multiarray/multiarraymodule.c#L1011

927 of 927 relevant lines covered (100.0%)

1.0 hits per line