init commit

modules/dnn/src/onnx/onnx_importer.cpp

@@ -2503,11 +2503,11 @@ void ONNXImporter::parseGather(LayerParams& layerParams, const opencv_onnx::Node
     CV_CheckEQ(node_proto.input_size(), 2, "");
 
     // TODO: get rid of the type conversions and 1-d/0-d special-casing when the time comes
-    if (layer_id.find(node_proto.input(1)) == layer_id.end())
+    if (constBlobs.find(node_proto.input(1)) != constBlobs.end())
     {
         int real_ndims = getBlobExtraInfo(node_proto.input(1)).real_ndims;
         layerParams.set("real_ndims", real_ndims);
-        if (layer_id.find(node_proto.input(0)) == layer_id.end())
+        if (constBlobs.find(node_proto.input(0)) != constBlobs.end())
         {
             std::vector<Mat> inputs, output;
 

modules/dnn/test/test_onnx_importer.cpp

@@ -243,6 +243,10 @@ TEST_P(Test_ONNX_layers, GatherMulti)
     testONNXModels("gather_multi", npy, 0, 0, false, false);
 }
 
+TEST_P(Test_ONNX_layers, Gather_shared_indices) {
+    testONNXModels("gather_shared_indices", npy, 0, 0, false, false, 1);
+}
+
 TEST_P(Test_ONNX_layers, Convolution3D)
 {
     if (backend == DNN_BACKEND_CUDA && target == DNN_TARGET_CUDA_FP16)