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add fp16 accuracy and perf test

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Signed-off-by: Li Peng <peng.li@intel.com>
This commit is contained in:
Li Peng
2018-04-28 23:50:37 +08:00
parent ba5e8befa9
commit 1b517a45ae
4 changed files with 75 additions and 40 deletions
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modules/dnn/perf/perf_net.cpp
+5 -2
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@@ -121,7 +121,9 @@ PERF_TEST_P_(DNNTestNetwork, Inception_5h)
PERF_TEST_P_(DNNTestNetwork, ENet)
{
if (backend == DNN_BACKEND_INFERENCE_ENGINE) throw SkipTestException("");
if ((backend == DNN_BACKEND_INFERENCE_ENGINE) ||
(backend == DNN_BACKEND_DEFAULT && target == DNN_TARGET_OPENCL_FP16))
throw SkipTestException("");
processNet("dnn/Enet-model-best.net", "", "enet.yml",
Mat(cv::Size(512, 256), CV_32FC3));
}
@@ -232,7 +234,8 @@ const tuple<DNNBackend, DNNTarget> testCases[] = {
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_INFERENCE_ENGINE, DNN_TARGET_OPENCL_FP16),
#endif
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_DEFAULT, DNN_TARGET_CPU),
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_DEFAULT, DNN_TARGET_OPENCL)
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_DEFAULT, DNN_TARGET_OPENCL),
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_DEFAULT, DNN_TARGET_OPENCL_FP16)
};
INSTANTIATE_TEST_CASE_P(/*nothing*/, DNNTestNetwork, testing::ValuesIn(testCases));