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Fix fully-connected layer in case of number of rows less than 4
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@ -612,7 +612,7 @@ bool ocl4dnnGEMV<float>(const CBLAS_TRANSPOSE TransA,
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ret = k.run(1, globalsize, localsize, false);
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}
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if ((row_size % 4) != 0 && ret)
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if (row_size < 4 || ((row_size % 4) != 0 && ret))
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{
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String kname = format("matvec_mul1_%s", use_half ? "half" : "float");
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ocl::Kernel k_1(kname.c_str(), cv::ocl::dnn::matvec_mul_oclsrc, opts);
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@ -104,8 +104,14 @@ TEST_P(Convolution, Accuracy)
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int backendId = get<0>(get<7>(GetParam()));
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int targetId = get<1>(get<7>(GetParam()));
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if ((backendId == DNN_BACKEND_INFERENCE_ENGINE && targetId == DNN_TARGET_MYRIAD) ||
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(backendId == DNN_BACKEND_OPENCV && targetId == DNN_TARGET_OPENCL_FP16))
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE && targetId == DNN_TARGET_MYRIAD)
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throw SkipTestException("");
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// TODO: unstable test cases
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if (backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16) &&
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inChannels == 6 && outChannels == 9 && group == 1 && inSize == Size(5, 6) &&
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kernel == Size(3, 1) && stride == Size(1, 1) && pad == Size(0, 1) && dilation == Size(1, 1) &&
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hasBias)
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throw SkipTestException("");
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int sz[] = {outChannels, inChannels / group, kernel.height, kernel.width};
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@ -353,8 +359,7 @@ TEST_P(FullyConnected, Accuracy)
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bool hasBias = get<3>(GetParam());
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int backendId = get<0>(get<4>(GetParam()));
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int targetId = get<1>(get<4>(GetParam()));
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE ||
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(backendId == DNN_BACKEND_OPENCV && targetId == DNN_TARGET_OPENCL_FP16))
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE)
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throw SkipTestException("");
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Mat weights(outChannels, inChannels * inSize.height * inSize.width, CV_32F);
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@ -692,10 +697,6 @@ TEST_P(Eltwise, Accuracy)
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int backendId = get<0>(get<4>(GetParam()));
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int targetId = get<1>(get<4>(GetParam()));
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if (backendId == DNN_BACKEND_OPENCV &&
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(targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
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throw SkipTestException("");
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Net net;
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std::vector<int> convLayerIds(numConv);
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