New user self-registration is disabled due to spam. Please email eigen-core-team @ if you need an account.
Before reporting a bug, please make sure that your Eigen version is up-to-date!
Bug 1090 - Unable to use .norm() on block expressions.
Summary: Unable to use .norm() on block expressions.
Alias: None
Product: Eigen
Classification: Unclassified
Component: Core - expression templates (show other bugs)
Version: 3.2
Hardware: All Windows
: Normal Compilation Problem
Assignee: Nobody
Depends on:
Reported: 2015-10-16 15:54 UTC by ipolok
Modified: 2015-10-21 19:07 UTC (History)
3 users (show)


Description ipolok 2015-10-16 15:54:47 UTC
The following snippet of code:

const int n_columns = 600;
double f_diag_partial_sum - 0;
enum { n_stripe = 6; };
for(int i = 0; i < n_columns; i += n_stripe) {
	Eigen::MatrixXd t_my_stripe(n_columns, n_stripe);
	// [fill the matrix with data]
	// calculate a stripe of the marginals at a time

	f_diag_partial_sum += t_my_stripe.template block<n_stripe, n_stripe>(i, 0).eval().squaredNorm();
	// calculate norm

This code won't work without the .eval() bit. This is a shame as norm() and squaredNorm() are (at least in my view) very simple reductions and calculating a temporary completely kills performance. I think this should be quite easy to fix.
Comment 1 Gael Guennebaud 2015-10-21 16:36:48 UTC
Indeed, there is an issue with compile-time sized blocks. The following works too:

t_my_stripe.block(i, 0, n_stripe, n_stripe);

fix asap.
Comment 2 Gael Guennebaud 2015-10-21 16:56:31 UTC
hm, it's even more tricky: the issue occurs for block sizes of 6 only. It is trying to do both slice-vectorization and unrolling while this case is not supported...
Comment 3 ipolok 2015-10-21 17:12:48 UTC
Oh, pretty please, do optimize the 6x6 cases. 6x6 happens to be an important case in computer vision and robotics since a 3D pose can be represented in 6 dimensions (x, y, z, a, b, c) where a, b, c can be axis-angle, the imaginary part of a quaternion or if you are extreme, yaw pitch roll. This corresponds to the SE(3) group.

7x7 is also kind of important when scale is added - the Sim(3) group. I guess with 7 being a prime, it is hard to vectorize reasonably.

I'll buy your team pizza & beer / prostitutes / star wars memorabilia if you optimizes for the 6x6 cases :). We really use them a lot.
Comment 4 ipolok 2015-10-21 17:13:35 UTC
I forgot to mention that 6D is a pose and 6x6 is a pose-pose derivative.
Comment 5 Gael Guennebaud 2015-10-21 19:07:59 UTC

Regarding optimizations, it is already the case for 6x6 matrices. However, in your case, since you accessing to a 6x6 subblock, we cannot figure out at compile time that everything is well aligned. Using a rowmajor storage like:


and accessing it as .middleRows<6>(i) will help.

Note You need to log in before you can comment on or make changes to this bug.