tree 5fbee154d908ccc551811db5d44890225b9972c5
parent 03d8ebedcddb17eb6f8eae993a09413c67097ac8
author David Turner <david.turner@argondesign.com> 1541778538 +0000
committer Debargha Mukherjee <debargha@google.com> 1541890200 +0000

SSE3-optimised av1_nn_predict

I have developed a SIMD-optimised neural network implementation using
SSE3.  I have also added functional equivalence tests between this and
the original implementation.  I added aom_clear_system_state() to a few
places where FPU operations are used after av1_nn_predict.

Speed-ups over the original C implementation for various network shapes:
10x64x16: 1.72x
12x12x1:  2.72x
12x24x1:  2.35x
12x32x1:  3.34x
18x24x4:  0.94x
18x32x4:  0.93x
4x16x1:   2.01x
8x16x1:   1.89x
8x16x4:   2.02x
8x24x1:   2.77x
8x32x1:   2.98x
8x64x1:   3.76x
9x32x3:   1.08x
4x8x4:    1.66x

A few awkwardly-shaped networks are slightly slower: these could be
padded to more convenient sizes to use the SIMD kernels.

I also wrote an AVX/AVX2 implementation but on these relatively small
networks it was barely faster than the SSE3 code.

Change-Id: I6a72be12cb7df8cf946578c3e01b21a439377d45