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As of v0.5.8 we haven't supported ti.bitmasked(ti.ij, 128).place(x), since we've made an assumption that place's father must be dense. We should remove this assumption.
Additional comments
The ultimate goal of Taichi sparse programming is to make algorithms fully independent of data structures. Assuming the finest level must be a dense node actually harms, since the data mask now has granularity of the dense node dim (e.g. 4x4x8, which is data-structure-dependent) instead of 1x1x1.
The text was updated successfully, but these errors were encountered:
Concisely describe the proposed feature
As of v0.5.8 we haven't supported
ti.bitmasked(ti.ij, 128).place(x)
, since we've made an assumption thatplace
's father must bedense
. We should remove this assumption.Additional comments
The ultimate goal of Taichi sparse programming is to make algorithms fully independent of data structures. Assuming the finest level must be a
dense
node actually harms, since the data mask now has granularity of the dense node dim (e.g.4x4x8
, which is data-structure-dependent) instead of1x1x1
.The text was updated successfully, but these errors were encountered: