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Fix TF Split layer
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@ -366,6 +366,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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*/
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std::vector<std::vector<Range> > sliceRanges;
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int axis;
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int num_split;
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static Ptr<SliceLayer> create(const LayerParams ¶ms);
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};
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@ -61,6 +61,7 @@ public:
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{
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setParamsFrom(params);
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axis = params.get<int>("axis", 1);
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num_split = params.get<int>("num_split", 0);
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if (params.has("slice_point"))
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{
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CV_Assert(!params.has("begin") && !params.has("size") && !params.has("end"));
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@ -141,9 +142,10 @@ public:
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else // Divide input blob on equal parts by axis.
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{
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CV_Assert(0 <= axis && axis < inpShape.size());
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CV_Assert(requiredOutputs > 0 && inpShape[axis] % requiredOutputs == 0);
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inpShape[axis] /= requiredOutputs;
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outputs.resize(requiredOutputs, inpShape);
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int splits = num_split ? num_split : requiredOutputs;
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CV_Assert(splits > 0 && inpShape[axis] % splits == 0);
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inpShape[axis] /= splits;
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outputs.resize(splits, inpShape);
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}
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return false;
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}
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@ -1410,6 +1410,9 @@ void TFImporter::populateNet(Net dstNet)
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axis = toNCHW(axis);
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layerParams.set("axis", axis);
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if (hasLayerAttr(layer, "num_split"))
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layerParams.set("num_split", getLayerAttr(layer, "num_split").i());
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int id = dstNet.addLayer(name, "Slice", layerParams);
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layer_id[name] = id;
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@ -350,6 +350,11 @@ TEST_P(Test_TensorFlow_layers, l2_normalize_3d)
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runTensorFlowNet("l2_normalize_3d");
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}
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TEST_P(Test_TensorFlow_layers, Split)
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{
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runTensorFlowNet("split");
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}
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class Test_TensorFlow_nets : public DNNTestLayer {};
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TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
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