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Introduce relaxed accuracy thresholds for CL target in some dnn tests.

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Partially addresses #9821
This commit is contained in:
Aaron Greig
2021-03-24 16:14:23 +00:00
parent 3df6bc58e9
commit f59917bea1
3 changed files with 46 additions and 11 deletions
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modules/dnn/test/test_layers.cpp
+11 -2
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@@ -169,8 +169,17 @@ TEST_P(Test_Caffe_layers, Softmax)
TEST_P(Test_Caffe_layers, LRN)
{
testLayerUsingCaffeModels("layer_lrn_spatial");
testLayerUsingCaffeModels("layer_lrn_channels");
double l1 = 0.0, lInf = 0.0;
// The OpenCL kernels use the native_ math functions which have
// implementation defined accuracy, so we use relaxed thresholds. See
// https://github.com/opencv/opencv/issues/9821 for more details.
if (target == DNN_TARGET_OPENCL)
{
l1 = 0.01;
lInf = 0.01;
}
testLayerUsingCaffeModels("layer_lrn_spatial", false, true, l1, lInf);
testLayerUsingCaffeModels("layer_lrn_channels", false, true, l1, lInf);
}
TEST_P(Test_Caffe_layers, Convolution)