if (!next_layers.empty())
{
int maximumLayerIdx = next_layers[0].second;
- ExcludeLayer(net, maximumLayerIdx, 0, false);
+
+ CV_Assert(net.node(maximumLayerIdx).input_size() == 2);
+
+ // The input from the Mul layer can also be at index 1.
+ int mulInputIdx = (net.node(maximumLayerIdx).input(0) == name) ? 0 : 1;
+
+ ExcludeLayer(net, maximumLayerIdx, mulInputIdx, false);
layers_to_ignore.insert(next_layers[0].first);
layerParams.set("negative_slope", scaleMat.at<float>(0));
runTensorFlowNet("unfused_flatten_unknown_batch");
}
+TEST_P(Test_TensorFlow_layers, leaky_relu)
+{
+ runTensorFlowNet("leaky_relu_order1");
+ runTensorFlowNet("leaky_relu_order2");
+ runTensorFlowNet("leaky_relu_order3");
+}
+
TEST_P(Test_TensorFlow_layers, l2_normalize)
{
runTensorFlowNet("l2_normalize");