GitLab

* fix find_min_global finding wrong answers

Previously, find_min_global would produce wrong output when passed
a collection of initial evaluations because the solver expected the
y-values to be multiplied by -1.  This fix does that when minimizing.

closes #2283

* fixed tabbing
Co-authored-by: Davis King <davis@dlib.net>

* Fix build with clang on ppc64le

Clang doesn't implement vec_rsqrt. Code taken from https://github.com/opencv/opencv/blob/master/modules/core/include/opencv2/core/vsx_utils.hpp#L360

* Define vec_rsqrt only if we use VSX

* [FFT] added kissfft wrappers, moved kiss and mkl wrappers into separate files, call the right functions in matrix_fft.h
Co-authored-by: pf <pf@pf-ubuntu-dev>
Co-authored-by: Davis King <davis@dlib.net>

* Remove GUI dependency from fonts

* use #ifndef

* Updated docs more
Co-authored-by: Davis King <davis@dlib.net>

* add function to draw string on images

* add documentation

* formatting

* add semicolon

* add test for draw_string on images

* Allow the face detector to be run concurrently.

* Use img_view instead of numpy_image
Co-authored-by: Akshay Modi <amodi@netflix.com>

Simple typo in the inception training

that cuda is available even though it knows it didn't find cublas, which
is part of the standard cuda install.  So we need to add a check to see
if cmake *really for realz* found cuda.

* Added exponential distribution

* tab problem removed?

* forgot std::

* Also added Weibull distribution. Very useful indeed.

* Simple Weibull distribution unit test

* don't forget std::

* sorry, typo

* [RAND] 	- seed the random number generators for consistency and no nasty surprises
		- added parameter for tolerance
		- added unit test for exponential distribution

* [RAND] print the spinner more often

* [RAND] up the tolerance for kurtosis a bit

* [RAND] refactored parameters to reflect documentation on wikipedia.

* [RAND] added documentation to _abstract

* [RAND] i switched the order of the arguments to get_random_weibull and didn't update the unit tests. oops
Co-authored-by: pf <pf@pf-ubuntu-dev>

* fix typos

* add cifar-10

* open files in binary mode

* print messages with file name only, like mnist loader

* some fixes

* add mnist.cpp to CMakeLists.txt

* fix test index

* do not use iterator in cast

* add cifar.cpp to all

* Add Davis' suggestions

* no need to use namespace std and clean up empty lines

* [SERIALIZATION] fixed bug when (de)serializing vector<complex<float>>. DLIB_DEFINE... macro uses __out and __in variables names for ostream and istream objects respectively to avoid member variable name conflicts.

* Refactoring objects in DLIB_DEFINE_DEFAULT_SERIALIZATION to avoid name conflicts with user types

* Refactoring objects in DLIB_DEFINE_DEFAULT_SERIALIZATION to avoid name conflicts with user types

* removed tabs

* removed more tabs
Co-authored-by: pf <pf@pf-ubuntu-dev>

* Rename function to disable_duplicative_biases

* rename also the functions in the tests... oops

* Add support for matrix serialization to python API

* add double to function names

* Update to  PyBind11 v2.2.4

* re-add custom changes

* fix indentation

* remove blank line

* wip: layer normalization on cpu

* wip: add cuda implementation, nor working yet

* wip: try to fix cuda implementation

* swap grid_strid_range and grid_strid_range_y: does not work yet

* fix CUDA implementation

* implement cuda gradient

* add documentation, move layer_norm, update bn_visitor

* add tests

* use stddev instead of variance in test (they are both 1, anyway)

* add test for means and invstds on CPU and CUDA

* rename visitor to disable_duplicative_bias

* handle more cases in the visitor_disable_input_bias

* Add tests for visitor_disable_input_bias

* fix backtracking when losses stay at inf

* always backtrack when there is an inf value

* do not use sqrt_2 in device code

* use CUDART_SQRT_2PI

* better sort includes

* Add GELU activation layer

* fix some copy-paste leftovers

* fix comment

* use exact faster implementation

* do not use cmath constants

* add cuda test for loss_binary_log_per_pixel and some needed refactoring

* add cuda test for loss_multiclass_log_per_pixel

* forgot to add cpu version in loss

* remove a line I added by mistake

* fix typos

* declare label_to_ignore as static

* use tensor_index function instead of index method

* test cuda and cpu gradients values

* use DLIB_TEST instead of DLIB_CASSERT

* add cuda implementation for loss_multiclass_log_per_pixel_weighted

* add test for cuda and cpu implementations

* fix comment

* move weighted label to its own file

* Update path in doc
Co-authored-by: Davis E. King <davis685@gmail.com>

* [DLIB]  STL containers

* [DLIB]  STL containers

* [DLIB] applied code corrections suggested by code review

* [DLIB] applied code corrections suggested by code review

* [DLIB] applied code corrections suggested by code review

Check if the blas found by pkgconfig is valid before using it.

Add copy of license file to root to make github happy.