Remove duplicated code line 72/255972/2 accepted/tizen/unified/20210509.123821 submit/tizen/20210422.072212 submit/tizen/20210428.062907 submit/tizen/20210506.010918 submit/tizen/20210507.005054
authorTae-Young Chung <ty83.chung@samsung.com>
Fri, 26 Mar 2021 00:45:37 +0000 (09:45 +0900)
committerTae-Young Chung <ty83.chung@samsung.com>
Fri, 26 Mar 2021 01:30:09 +0000 (10:30 +0900)
mInputLayerId and mOutputLayerId are swapped.
So they don't need to call clear() again and should be removed.

Change-Id: I9ef8df94e31baefc680837cc9d582095669fd399
Signed-off-by: Tae-Young Chung <ty83.chung@samsung.com>
packaging/inference-engine-tflite.spec
src/inference_engine_tflite.cpp

index 773772849f46aeaf4618687744a7d5f45804b7e5..587924a7817a68733948084c340322957c745c78 100644 (file)
@@ -1,7 +1,7 @@
 Name:       inference-engine-tflite
 Summary:    Tensorflow-Lite based implementation of inference-engine-interface
 Version:    0.0.1
-Release:    13
+Release:    14
 Group:      Multimedia/Libraries
 License:    Apache-2.0
 Source0:    %{name}-%{version}.tar.gz
index 90b8a2ff49c20bc54d843119b7e85bd1a64b313c..731e7e8e7897ee6af0b9d1aab442d464e343a561 100644 (file)
@@ -141,7 +141,6 @@ namespace TFLiteImpl
                                mInputLayerId.insert(std::make_pair(mInterpreter->tensor(input)->name, input));
                        }
                } else {
-                       mInputLayerId.clear();
                        for (auto& layer: mInputLayers) {
                                LOGI("mInputLayer list [%s]", layer.first.c_str());
                                for (unsigned int idx = 0; idx < mInterpreter->tensors_size();
@@ -164,7 +163,6 @@ namespace TFLiteImpl
                                mOutputLayerId.insert(std::make_pair(mInterpreter->tensor(output)->name, output));
                        }
                } else {
-                       mOutputLayerId.clear();
                        for (auto& layer : mOutputLayers) {
                                LOGI("mOutputLayer list [%s]", layer.first.c_str());
                                for (unsigned int idx = 0; idx < mInterpreter->tensors_size();