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dnn: SIMD for 13 transcendental activations in the 5.x engine

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Port of #29377 to 5.x. Wires Log, Erf, Exp, Sin, Cos, Sinh, Cosh, Tan,
Softplus, BNLL, Asinh, Acosh, Atanh into the dispatched activation_kernels
registry, plus a Layer_Activation perf test. 1.4-12.3x across
M4/A76/Threadripper/Xeon, correct to <=5e-7 vs scalar.
This commit is contained in:
Tonu Samuel
2026-06-27 09:11:09 +03:00
parent 8b06f28e1b
commit 4d839a16f0
4 changed files with 338 additions and 1 deletions
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modules/dnn/perf/perf_layer.cpp
+54
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@@ -1104,4 +1104,58 @@ INSTANTIATE_TEST_CASE_P(/**/, Layer_TopK,
/* withWebnn= */ false,
/* withCann= */ false));
// Single-input elementwise activation throughput (the transcendental functors
// vectorized in elementwise_layers.cpp via the activation_kernels registry).
// Inputs are drawn from each function's valid domain so the output stays finite.
struct Layer_Activation : public TestBaseWithParam<tuple<Backend, Target> >
{
void test_activation(const String& type, float lo, float hi)
{
int backendId = get<0>(GetParam());
int targetId = get<1>(GetParam());
Mat input({N, C, H, W}, CV_32F);
randu(input, lo, hi);
Net net;
LayerParams lp;
lp.type = type;
lp.name = "testLayer";
net.addLayerToPrev(lp.name, lp.type, lp);
net.setPreferableBackend(backendId);
net.setPreferableTarget(targetId);
net.setInput(input);
Mat out = net.forward(); // warmup
TEST_CYCLE()
{
Mat res = net.forward();
}
SANITY_CHECK_NOTHING();
}
int N = 8;
int C = 256;
int H = 128;
int W = 100;
};
PERF_TEST_P_(Layer_Activation, Log) { test_activation("Log", 0.1f, 10.f); }
PERF_TEST_P_(Layer_Activation, Erf) { test_activation("Erf", -3.f, 3.f); }
PERF_TEST_P_(Layer_Activation, Exp) { test_activation("Exp", -5.f, 5.f); }
PERF_TEST_P_(Layer_Activation, Sin) { test_activation("Sin", -3.f, 3.f); }
PERF_TEST_P_(Layer_Activation, Cos) { test_activation("Cos", -3.f, 3.f); }
PERF_TEST_P_(Layer_Activation, Sinh) { test_activation("Sinh", -5.f, 5.f); }
PERF_TEST_P_(Layer_Activation, Cosh) { test_activation("Cosh", -5.f, 5.f); }
PERF_TEST_P_(Layer_Activation, Tan) { test_activation("Tan", -1.4f, 1.4f); }
PERF_TEST_P_(Layer_Activation, Softplus) { test_activation("Softplus", -5.f, 5.f); }
PERF_TEST_P_(Layer_Activation, BNLL) { test_activation("BNLL", -5.f, 5.f); }
PERF_TEST_P_(Layer_Activation, Asinh) { test_activation("Asinh", -10.f, 10.f); }
PERF_TEST_P_(Layer_Activation, Acosh) { test_activation("Acosh", 1.f, 20.f); }
PERF_TEST_P_(Layer_Activation, Atanh) { test_activation("Atanh", -0.95f, 0.95f); }
INSTANTIATE_TEST_CASE_P(/**/, Layer_Activation, testing::Values(std::make_tuple(DNN_BACKEND_OPENCV, DNN_TARGET_CPU)));
} // namespace