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Merged
merged 1 commit into from
Feb 2, 2018
Merged

Improve CUDA softmax performance #4973

merged 1 commit into from
Feb 2, 2018

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apaszke
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@apaszke apaszke commented Jan 31, 2018

Simple fix with a very large perf benefit for smaller sizes. Below are some plots (dim_size = size of the softmaxed dimension, outer_size = batch size, z-axis = ratio of old time to new time). In general, as long as dim_size < 1024 you get at least a 2x speedup with this code, 4x if you fit in 256, and even 12x for sizes around 100 and smaller.

screen shot 2018-01-31 at 23 27 02

screen shot 2018-01-31 at 23 27 18

I tried playing with some other potential improvements like replacing the blockReduce function with a shuffle-based one, but it gave mixed results (-20% time in some cases, +20% time in other cases).

Thanks to @nikitakit for reporting #4893 (which is fixed in this PR).

@apaszke apaszke closed this Feb 1, 2018
@apaszke apaszke reopened this Feb 1, 2018
@apaszke apaszke closed this Feb 1, 2018
@apaszke apaszke reopened this Feb 1, 2018
@apaszke apaszke requested a review from colesbury February 1, 2018 16:51
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apaszke commented Feb 1, 2018

All the build failures are spurious and unrelated to this PR

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@colesbury colesbury left a comment

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Nice speed-up!

@@ -57,6 +57,15 @@ void SpatialSoftMax_getLaunchSizes(
grid = SpatialSoftMax_getGridSize(block, max_active_blocks, outer_size, dim_size, inner_size);
}

inline dim3 SoftMax_getBlockSize(int ILP, uint64_t dim_size) {
uint64_t block_size = 1;
uint64_t max_block_size = std::min(dim_size / ILP, static_cast<uint64_t>(1024));

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@apaszke apaszke merged commit 8e22f84 into master Feb 2, 2018
@apaszke apaszke deleted the softmax_speedup branch February 2, 2018 12:24
@soumith soumith added the 0.3.1 label Feb 5, 2018
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4 participants