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1187a7fa34
dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649) * this can make sure [depthwise conv(group=1) + bn + prelu] output not shift * add TEST to show the output mismatch in [DWconv+Prelu] * fix typo * change loading image to init cvMat directly * build runtime model, without loading external model * remove whitespace * change way to create a cvmat * add bias_term, add target output * fix [dwconv + prelu] value mismatch when no optimizations * fix Test error when change output channels * add parametric test * change num_output to group value * change conv code and change test back |
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| .. | ||
| cityscapes_semsegm_test_enet.py | ||
| imagenet_cls_test_alexnet.py | ||
| imagenet_cls_test_googlenet.py | ||
| imagenet_cls_test_inception.py | ||
| npy_blob.cpp | ||
| npy_blob.hpp | ||
| pascal_semsegm_test_fcn.py | ||
| test_backends.cpp | ||
| test_caffe_importer.cpp | ||
| test_common.hpp | ||
| test_darknet_importer.cpp | ||
| test_googlenet.cpp | ||
| test_halide_layers.cpp | ||
| test_layers.cpp | ||
| test_main.cpp | ||
| test_misc.cpp | ||
| test_nms.cpp | ||
| test_precomp.hpp | ||
| test_tf_importer.cpp | ||
| test_torch_importer.cpp | ||