Merge pull request #18246 from YashasSamaga:dnn-permute-fix-unwanted-ocl-init

modules/dnn/src/layers/permute_layer.cpp

@@ -174,21 +174,9 @@ public:
         computeStrides(shape(inputs[0]), shape(outputs[0]));
 
 #ifdef HAVE_OPENCL
-        if (uorder.empty())
-        {
-            std::vector<int> orderVec(_order.begin(), _order.end());;
-            Mat morder(1, orderVec.size(), CV_32SC1, &orderVec[0]);
-
-            std::vector<int> oldStrideVec(_oldStride.begin(), _oldStride.end());
-            Mat mold_stride(1, _oldStride.size(), CV_32SC1, &oldStrideVec[0]);
-
-            std::vector<int> newStrideVec(_newStride.begin(), _newStride.end());
-            Mat mnew_stride(1, newStrideVec.size(), CV_32SC1, &newStrideVec[0]);
-
-            morder.copyTo(uorder);
-            mold_stride.copyTo(uold_stride);
-            mnew_stride.copyTo(unew_stride);
-        }
+        uorder.release();
+        uold_stride.release();
+        unew_stride.release();
 #endif
     }
 
@@ -276,6 +264,22 @@ public:
         if (!_needsPermute)
             return false;
 
+        if (uorder.empty())
+        {
+            std::vector<int> orderVec(_order.begin(), _order.end());;
+            Mat morder(1, orderVec.size(), CV_32SC1, &orderVec[0]);
+
+            std::vector<int> oldStrideVec(_oldStride.begin(), _oldStride.end());
+            Mat mold_stride(1, _oldStride.size(), CV_32SC1, &oldStrideVec[0]);
+
+            std::vector<int> newStrideVec(_newStride.begin(), _newStride.end());
+            Mat mnew_stride(1, newStrideVec.size(), CV_32SC1, &newStrideVec[0]);
+
+            morder.copyTo(uorder);
+            mold_stride.copyTo(uold_stride);
+            mnew_stride.copyTo(unew_stride);
+        }
+
         bool use_half = (inps.depth() == CV_16S);
         String opts = format("-DDtype=%s", use_half ? "half" : "float");
         for (size_t i = 0; i < inputs.size(); i++)

modules/dnn/test/test_layers.cpp

@@ -2343,7 +2343,7 @@ TEST_P(ConvolutionEltwiseActivationFusion, Accuracy)
     if (eltwiseOp != "sum" && weightedEltwise)
             throw SkipTestException("weighted eltwise not supported");
     LayerParams eltwiseParams;
-    TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, false);
+    TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, weightedEltwise);
 
     std::string actType = get<3>(GetParam());
     LayerParams activationParams;
@@ -2353,7 +2353,7 @@ TEST_P(ConvolutionEltwiseActivationFusion, Accuracy)
     Target targetId = get<1>(get<4>(GetParam()));
 
     // bug: https://github.com/opencv/opencv/issues/17945
-    if (eltwiseOp != "sum" && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
+    if ((eltwiseOp != "sum" || weightedEltwise) && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
         applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL);
 
     // bug: https://github.com/opencv/opencv/issues/17953
@@ -2440,7 +2440,7 @@ TEST_P(ConvolutionActivationEltwiseFusion, Accuracy)
     if (eltwiseOp != "sum" && weightedEltwise)
             throw SkipTestException("weighted eltwise not supported");
     LayerParams eltwiseParams;
-    TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, false);
+    TestLayerFusion::makeDefaultTestEltwiseLayer(eltwiseParams, eltwiseOp, weightedEltwise);
 
     Backend backendId = get<0>(get<4>(GetParam()));
     Target targetId = get<1>(get<4>(GetParam()));