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Merge pull request #24120 from dkurt:actualize_dnn_links

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OCL_FP16 MatMul with large batch

* Workaround FP16 MatMul with large batch

* Fix OCL reinitialization

* Higher thresholds for INT8 quantization

* Try fix gemm_buffer_NT for half (columns)

* Fix GEMM by rows

* Add batch dimension to InnerProduct layer test

* Fix Test_ONNX_conformance.Layer_Test/test_basic_conv_with_padding

* Batch 16

* Replace all vload4

* Version suffix for MobileNetSSD_deploy Caffe model
This commit is contained in:
Dmitry Kurtaev
2023-08-16 15:46:11 +03:00
committed by GitHub
parent 8d1c73a912
commit 8ad5eb521a
10 changed files with 49 additions and 47 deletions
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modules/dnn/test/test_int8_layers.cpp
+3 -3
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@@ -878,14 +878,14 @@ TEST_P(Test_Int8_nets, MobileNet_SSD)
if (target == DNN_TARGET_OPENCL && !ocl::Device::getDefault().isIntel())
applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL);
Net net = readNetFromCaffe(findDataFile("dnn/MobileNetSSD_deploy.prototxt", false),
findDataFile("dnn/MobileNetSSD_deploy.caffemodel", false));
Net net = readNetFromCaffe(findDataFile("dnn/MobileNetSSD_deploy_19e3ec3.prototxt", false),
findDataFile("dnn/MobileNetSSD_deploy_19e3ec3.caffemodel", false));
Mat inp = imread(_tf("street.png"));
Mat blob = blobFromImage(inp, 1.0 / 127.5, Size(300, 300), Scalar(127.5, 127.5, 127.5), false);
Mat ref = blobFromNPY(_tf("mobilenet_ssd_caffe_out.npy"));
float confThreshold = FLT_MIN, scoreDiff = 0.059, iouDiff = 0.11;
float confThreshold = FLT_MIN, scoreDiff = 0.084, iouDiff = 0.43;
testDetectionNet(net, blob, ref, confThreshold, scoreDiff, iouDiff);
}