chore: import upstream snapshot with attribution

2026-07-13 12:06:04 +08:00
commit 86c9b1c39f
7743 changed files with 3316339 additions and 0 deletions
@@ -0,0 +1,93 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+#include "perf_precomp.hpp"
+
+namespace opencv_test {
+
+struct Layer_Slice_Test : public TestBaseWithParam<tuple<Backend, Target>>
+{
+    void test_slice(const std::vector<int>& input_shape, int axis, int begin, int end, int step = 1)
+    {
+        int backendId = get<0>(GetParam());
+        int targetId = get<1>(GetParam());
+
+        Mat data(input_shape, CV_32FC1);
+        randu(data, 0.f, 1.f);
+
+        Net net;
+        LayerParams lp;
+        lp.type = "Slice";
+        lp.name = "testLayer";
+        lp.set("axis", axis);
+
+        std::vector<int> begins(input_shape.size(), 0);
+        std::vector<int> ends = input_shape;
+        std::vector<int> steps(input_shape.size(), 1);
+
+        begins[axis] = begin;
+        ends[axis] = end;
+        steps[axis] = step;
+
+        lp.set("begin", DictValue::arrayInt(&begins[0], begins.size()));
+        lp.set("end", DictValue::arrayInt(&ends[0], ends.size()));
+        if (step != 1) {
+            lp.set("steps", DictValue::arrayInt(&steps[0], steps.size()));
+        }
+
+        int id = net.addLayerToPrev(lp.name, lp.type, lp);
+        net.connect(0, 0, id, 0);
+
+        net.setInputsNames({"data"});
+
+        // warmup
+        {
+            net.setInput(data, "data");
+            net.setPreferableBackend(backendId);
+            net.setPreferableTarget(targetId);
+            Mat out = net.forward();
+        }
+
+        TEST_CYCLE()
+        {
+            Mat res = net.forward();
+        }
+
+        SANITY_CHECK_NOTHING();
+    }
+};
+
+PERF_TEST_P_(Layer_Slice_Test, Slice_Contiguous_Axis0)
+{
+    test_slice({64, 128, 128}, 0, 10, 54);
+}
+
+PERF_TEST_P_(Layer_Slice_Test, Slice_Contiguous_Axis2)
+{
+    test_slice({64, 128, 128}, 2, 10, 118);
+}
+
+PERF_TEST_P_(Layer_Slice_Test, Slice_Small_Middle)
+{
+    test_slice({32, 64, 32}, 1, 20, 40);
+}
+
+PERF_TEST_P_(Layer_Slice_Test, Slice_Strided_Axis0_Step2)
+{
+    // Strided slice on outer axis.
+    // [64, 128, 128] -> [0:64:2, ...]
+    test_slice({64, 128, 128}, 0, 0, 64, 2);
+}
+
+PERF_TEST_P_(Layer_Slice_Test, Slice_Strided_Axis2_Step2)
+{
+    // Strided slice on inner axis.
+    // [64, 128, 128] -> [..., 0:128:2]
+    test_slice({64, 128, 128}, 2, 0, 128, 2);
+}
+
+
+INSTANTIATE_TEST_CASE_P(/**/, Layer_Slice_Test, dnnBackendsAndTargets(false, false, true, false, false, false, false, false));
+
+} // namespace opencv_test