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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/test/test_tf_importer.cpp
+21 -15
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@@ -295,26 +295,32 @@ TEST_P(Test_TensorFlow_nets, opencv_face_detector_uint8)
INSTANTIATE_TEST_CASE_P(/**/, Test_TensorFlow_nets, availableDnnTargets());
typedef testing::TestWithParam<DNNTarget> Test_TensorFlow_fp16;
TEST_P(Test_TensorFlow_fp16, tests)
{
int targetId = GetParam();
const float l1 = 7e-4;
const float lInf = 1e-2;
runTensorFlowNet("fp16_single_conv", targetId, false, l1, lInf);
runTensorFlowNet("fp16_deconvolution", targetId, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_odd_same", targetId, false, l1, lInf);
runTensorFlowNet("fp16_padding_valid", targetId, false, l1, lInf);
runTensorFlowNet("fp16_eltwise_add_mul", targetId, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_odd_valid", targetId, false, l1, lInf);
runTensorFlowNet("fp16_pad_and_concat", targetId, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_even", targetId, false, l1, lInf);
runTensorFlowNet("fp16_padding_same", targetId, false, l1, lInf);
}
INSTANTIATE_TEST_CASE_P(/**/, Test_TensorFlow_fp16,
Values(DNN_TARGET_CPU, DNN_TARGET_OPENCL, DNN_TARGET_OPENCL_FP16));
TEST(Test_TensorFlow, defun)
{
runTensorFlowNet("defun_dropout");
}
TEST(Test_TensorFlow, fp16)
{
const float l1 = 1e-3;
const float lInf = 1e-2;
runTensorFlowNet("fp16_single_conv", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_deconvolution", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_odd_same", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_padding_valid", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_eltwise_add_mul", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_odd_valid", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_pad_and_concat", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_max_pool_even", DNN_TARGET_CPU, false, l1, lInf);
runTensorFlowNet("fp16_padding_same", DNN_TARGET_CPU, false, l1, lInf);
}
TEST(Test_TensorFlow, quantized)
{
runTensorFlowNet("uint8_single_conv");