layer_id[name] = id;
// one input only
- connect(layer_id, dstNet, parsePin(layer.input(0)), id, 0);
+ Pin inp0 = parsePin(layer.input(0));
+ if (layer_id.find(inp0.name) != layer_id.end())
+ // First operand is a constant.
+ connect(layer_id, dstNet, parsePin(layer.input(0)), id, 0);
+ else
+ connect(layer_id, dstNet, parsePin(layer.input(1)), id, 0);
}
else
{
runTensorFlowNet("l2_normalize");
}
+TEST_P(Test_TensorFlow_layers, BiasAdd)
+{
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GE(2019010000)
+ if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD
+ && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X
+ )
+ applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
+#endif
+
+ runTensorFlowNet("bias_add_1");
+}
+
// TODO: fix it and add to l2_normalize
TEST_P(Test_TensorFlow_layers, l2_normalize_3d)
{