Added conv + hard_sigmoid oneDNN fuse pass #36869
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@piotrekobiIntel Please, review this PR |
lidanqing-intel
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ghost
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Nov 2, 2021
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@jczaja please merge |
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Nov 3, 2021
…e#36869) * added conv + hard_sigmoid fuse pass * Removed IsOptional() statements * Reverted removing optional
jakpiase
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Added conv + hard_sigmoid oneDNN fuse pass. It is designed mainly for PPLCNets architectures. This fuse pass improves PPLCNet_x0_25 model performance by 3% and PPLCNet_x1_0 performance by 1.4%
OneDNN does not have pure hard_sigmoid activation, that's why 2 eltwise postops are needed.
hard_sigmoid(x, slope, offset) = max(0, min(1, slope * x + offset))With oneDNN, we can get the inner equation by
eltwise_linear(x, slope, offset) = slope * x + offsetAnd adding clip after that would give us the exact equation as pure hard_sigmoid
eltwise_clip(eltwise_linear(x, slope, offset), 0, 1) = max(0, min(1, slope * x + offset))