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authorsurmeh01 <surabhi.mehta@arm.com>2018-05-18 16:31:43 +0100
committertelsoa01 <telmo.soares@arm.com>2018-05-23 13:09:07 +0100
commit3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0 (patch)
tree5950603ad78ec3fe56fb31ddc7f4d52a19f5bc60 /tests/TfMobileNet-Armnn
parentbceff2fb3fc68bb0aa88b886900c34b77340c826 (diff)
downloadarmnn-3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0.tar.gz
Release 18.05
Diffstat (limited to 'tests/TfMobileNet-Armnn')
-rw-r--r--tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp90
1 files changed, 53 insertions, 37 deletions
diff --git a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
index e1aebb6bb0..54759bf88a 100644
--- a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
+++ b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
@@ -8,43 +8,59 @@
int main(int argc, char* argv[])
{
- std::vector<ImageSet> imageSet =
+ int retVal = EXIT_FAILURE;
+ try
{
- {"Dog.jpg", 209},
- // top five predictions in tensorflow:
- // -----------------------------------
- // 209:Labrador retriever 0.949995
- // 160:Rhodesian ridgeback 0.0270182
- // 208:golden retriever 0.0192866
- // 853:tennis ball 0.000470382
- // 239:Greater Swiss Mountain dog 0.000464451
- {"Cat.jpg", 283},
- // top five predictions in tensorflow:
- // -----------------------------------
- // 283:tiger cat 0.579016
- // 286:Egyptian cat 0.319676
- // 282:tabby, tabby cat 0.0873346
- // 288:lynx, catamount 0.011163
- // 289:leopard, Panthera pardus 0.000856755
- {"shark.jpg", 3},
- // top five predictions in tensorflow:
- // -----------------------------------
- // 3:great white shark, white shark, ... 0.996926
- // 4:tiger shark, Galeocerdo cuvieri 0.00270528
- // 149:killer whale, killer, orca, ... 0.000121848
- // 395:sturgeon 7.78977e-05
- // 5:hammerhead, hammerhead shark 6.44127e-055
- };
+ // Coverity fix: The following code may throw an exception of type std::length_error.
+ std::vector<ImageSet> imageSet =
+ {
+ {"Dog.jpg", 209},
+ // top five predictions in tensorflow:
+ // -----------------------------------
+ // 209:Labrador retriever 0.949995
+ // 160:Rhodesian ridgeback 0.0270182
+ // 208:golden retriever 0.0192866
+ // 853:tennis ball 0.000470382
+ // 239:Greater Swiss Mountain dog 0.000464451
+ {"Cat.jpg", 283},
+ // top five predictions in tensorflow:
+ // -----------------------------------
+ // 283:tiger cat 0.579016
+ // 286:Egyptian cat 0.319676
+ // 282:tabby, tabby cat 0.0873346
+ // 288:lynx, catamount 0.011163
+ // 289:leopard, Panthera pardus 0.000856755
+ {"shark.jpg", 3},
+ // top five predictions in tensorflow:
+ // -----------------------------------
+ // 3:great white shark, white shark, ... 0.996926
+ // 4:tiger shark, Galeocerdo cuvieri 0.00270528
+ // 149:killer whale, killer, orca, ... 0.000121848
+ // 395:sturgeon 7.78977e-05
+ // 5:hammerhead, hammerhead shark 6.44127e-055
+ };
- armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });
- return armnn::test::ClassifierInferenceTestMain<MobileNetDatabase, armnnTfParser::ITfParser>(
- argc, argv, "mobilenet_v1_1.0_224_fp32.pb", true, "input", "output", { 0, 1, 2 },
- [&imageSet](const char* dataDir) {
- return MobileNetDatabase(
- dataDir,
- 224,
- 224,
- imageSet);
- },
- &inputTensorShape);
+ armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });
+
+ // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
+ retVal = armnn::test::ClassifierInferenceTestMain<MobileNetDatabase, armnnTfParser::ITfParser>(
+ argc, argv, "mobilenet_v1_1.0_224_fp32.pb", true, "input", "output", { 0, 1, 2 },
+ [&imageSet](const char* dataDir) {
+ return MobileNetDatabase(
+ dataDir,
+ 224,
+ 224,
+ imageSet);
+ },
+ &inputTensorShape);
+ }
+ catch (const std::exception& e)
+ {
+ // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
+ // exception of type std::length_error.
+ // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
+ std::cerr << "WARNING: TfMobileNet-Armnn: An error has occurred when running "
+ "the classifier inference tests: " << e.what() << std::endl;
+ }
+ return retVal;
}