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ada5e67f7e
Turns out inverting a matrix was the largest chunk of the CoglMatrix code. By switching to Graphene, a lot of it can go away. The inverse is still cached in the CoglMatrix struct itself, to preserve the optimization. However, switching to graphene_matrix_t to calculate the inverse has a challenge: float precision. We had to work around it here, and it needs an explanation. The way to detect whether a matrix is invertible or not (i.e. whether it's not a "singular" matrix, or not) is by checking if the determinant equals 0. So far, so good. Both graphene_matrix_t and CoglMatrix use single-precision floats to store their 4x4 matrices. Graphene uses vectorized operations to optimize determinant calculation, while Cogl tries to keep track of the matrix type and has special-purpose determinant functions for different matrix types (the most common one being a 3D matrix). Cogl, however, has a fundamentally flawed check for whether the matrix is invertible or not. Have a look: ``` float det; … if (det*det < 1e-25) return FALSE; ``` Notice that 1e-25 is *way* smaller than FLT_EPSILON. This check is fundamentally flawed. "In practice, what does it break?", the reader might ask. Well, in this case, the answer is opposite of that: Cogl inverts matrices that should not be invertible. Let's see an example: the model-view-projection of a 4K monitor. It looks like this: ``` | +0,002693 +0,000000 +0,000000 +0,000000 | | +0,000000 -0,002693 +0,000000 +0,000000 | | +0,000000 +0,000000 +0,002693 +0,000000 | | -5,169809 +2,908017 -5,036834 +1,000000 | ``` The determinant of this matrix is -0.000000019530306557. It evidently is smaller than FLT_EPSILON. In this situation, Cogl would happily calculate the inverse matrix, whereas Graphene (correctly) bails out and thinks it's a singular matrix. This commit works around that by exploiting the maths around it. The basis of it is: inverse(scalar * M) = (1/scalar) * M' which can be extrapolated to: inverse(M) = scalar * inverse(scalar * M) = M' In other words, scaling the to-be-inversed matrix, then scaling the inverse matrix by the same factor, gives us the desired inverse. In this commit, the scale is calculated as 1 / (smallest value in the diagonal). I'm sorry for everyone that has to read through this :( https://gitlab.gnome.org/GNOME/mutter/-/merge_requests/1439 |
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cogl | ||
cogl-pango | ||
test-fixtures | ||
tests | ||
.gitignore | ||
cogl-config.h.meson | ||
cogl-mutter-config.h.in | ||
config-custom.h | ||
meson.build |