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8b3d6603d5
* another round of dnn optimization: * increased malloc alignment across OpenCV from 16 to 64 bytes to make it AVX2 and even AVX-512 friendly * improved SIMD optimization of pooling layer, optimized average pooling * cleaned up convolution layer implementation * made activation layer "attacheable" to all other layers, including fully connected and addition layer. * fixed bug in the fusion algorithm: "LayerData::consumers" should not be cleared, because it desctibes the topology. * greatly optimized permutation layer, which improved SSD performance * parallelized element-wise binary/ternary/... ops (sum, prod, max) * also, added missing copyrights to many of the layer implementation files * temporarily disabled (again) the check for intermediate blobs consistency; fixed warnings from various builders |
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| .. | ||
| cityscapes_semsegm_test_enet.py | ||
| cnpy.cpp | ||
| cnpy.h | ||
| imagenet_cls_test_alexnet.py | ||
| imagenet_cls_test_googlenet.py | ||
| imagenet_cls_test_inception.py | ||
| npy_blob.hpp | ||
| pascal_semsegm_test_fcn.py | ||
| test_caffe_importer.cpp | ||
| test_common.hpp | ||
| test_googlenet.cpp | ||
| test_halide_layers.cpp | ||
| test_halide_nets.cpp | ||
| test_layers.cpp | ||
| test_main.cpp | ||
| test_precomp.hpp | ||
| test_tf_importer.cpp | ||
| test_torch_importer.cpp | ||