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Fix comments
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@ -250,7 +250,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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std::vector<size_t> pads_begin, pads_end;
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CV_DEPRECATED_EXTERNAL Size kernel, stride, pad;
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CV_DEPRECATED_EXTERNAL int pad_l, pad_t, pad_r, pad_b;
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CV_DEPRECATED_EXTERNAL bool globalPooling; //!< Flag is true if at least one of the axes is global pooled.
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bool globalPooling; //!< Flag is true if at least one of the axes is global pooled.
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std::vector<bool> isGlobalPooling;
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bool computeMaxIdx;
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String padMode;
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@ -2054,12 +2054,11 @@ void TFImporter::populateNet(Net dstNet)
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int num = (int)getLayerAttr(layer, "N").i();
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CV_Assert(layer.input_size() == num);
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std::string base_name = name + "/reshape_";
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std::vector<std::string> reshape_names;
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std::vector<int> reshape_ids;
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for (int i = 0; i < num; i++) {
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std::ostringstream ss;
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ss << i;
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std::string reshape_name = base_name + ss.str();
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reshape_names.push_back(reshape_name);
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LayerParams reshapeLP;
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reshapeLP.set("axis", dim);
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reshapeLP.set("num_axes", 1);
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@ -2067,6 +2066,7 @@ void TFImporter::populateNet(Net dstNet)
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reshapeLP.set("dim", DictValue::arrayInt(&outShape[0], 2));
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int id = dstNet.addLayer(reshape_name, "Reshape", reshapeLP);
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layer_id[reshape_name] = id;
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reshape_ids.push_back(id);
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connect(layer_id, dstNet, parsePin(layer.input(i)), id, 0);
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}
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@ -2075,7 +2075,7 @@ void TFImporter::populateNet(Net dstNet)
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layer_id[name] = id;
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for (int li = 0; li < num; li++)
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connect(layer_id, dstNet, Pin(reshape_names[li]), id, li);
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dstNet.connect(reshape_ids[li], 0, id, li);
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}
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else if (type == "ClipByValue")
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{
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