summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorTae-Young Chung <ty83.chung@samsung.com>2021-03-26 09:45:37 +0900
committerTae-Young Chung <ty83.chung@samsung.com>2021-03-26 10:30:09 +0900
commitc8f845b065268386e9ad5e47d7c60a5f614c8bae (patch)
treef75c8bb3410a49cb9849f648d0e0cc3c72e71598
parent0cf94f0404684c0f61bd4e6943c91f669983b9ee (diff)
downloadinference-engine-tflite-c8f845b065268386e9ad5e47d7c60a5f614c8bae.tar.gz
inference-engine-tflite-c8f845b065268386e9ad5e47d7c60a5f614c8bae.tar.bz2
inference-engine-tflite-c8f845b065268386e9ad5e47d7c60a5f614c8bae.zip
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>
-rw-r--r--packaging/inference-engine-tflite.spec2
-rw-r--r--src/inference_engine_tflite.cpp2
2 files changed, 1 insertions, 3 deletions
diff --git a/packaging/inference-engine-tflite.spec b/packaging/inference-engine-tflite.spec
index 7737728..587924a 100644
--- a/packaging/inference-engine-tflite.spec
+++ b/packaging/inference-engine-tflite.spec
@@ -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
diff --git a/src/inference_engine_tflite.cpp b/src/inference_engine_tflite.cpp
index 90b8a2f..731e7e8 100644
--- a/src/inference_engine_tflite.cpp
+++ b/src/inference_engine_tflite.cpp
@@ -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();