cudev is used for new device layer

Conflicts:
	modules/gpuwarping/src/cuda/resize.cu
	modules/gpuwarping/src/resize.cpp
	modules/gpuwarping/test/test_resize.cpp
	modules/ocl/perf/main.cpp
	modules/ocl/perf/perf_calib3d.cpp
	modules/ocl/perf/perf_canny.cpp
	modules/ocl/perf/perf_color.cpp
	modules/ocl/perf/perf_haar.cpp
	modules/ocl/perf/perf_match_template.cpp
	modules/ocl/perf/perf_precomp.cpp
	modules/ocl/perf/perf_precomp.hpp

Conflicts:
	cmake/OpenCVConfig.cmake
	cmake/OpenCVLegacyOptions.cmake
	modules/contrib/src/retina.cpp
	modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst
	modules/gpu/doc/video.rst
	modules/gpu/src/speckle_filtering.cpp
	modules/python/src2/cv2.cv.hpp
	modules/python/test/test2.py
	samples/python/watershed.py

Conflicts:
	modules/contrib/src/inputoutput.cpp
	modules/gpu/perf/perf_imgproc.cpp
	modules/gpuarithm/perf/perf_element_operations.cpp
	modules/gpuarithm/src/element_operations.cpp
	modules/ts/src/precomp.hpp

correct range computations, it is difficult to do the more efficient single pass 3N/2 implementations correctly in this particular setting without costing more than they save