GitLab

* add loss_multilabel_log

* add alias template for loss_multilabel_log

* add missing assert

* increment truth iterator

* rename loss to loss_multibinary_log

* rename loss to loss_multibinary_log

* explicitly capture dims in lambda

Problem: With certain batch size / device count combinations, batches were generated with size = 1, causing problems when using batch normalization. (#2152)

Solution: Divide the mini-batch more uniformly across the different devices.

When consuming dlib headers and building using gcc/clang with flags
'-Werror -Wpedantic', any inclusion involving DLIB_CASSERT triggers
a compilation error: ISO C++11 requires at least one argument for the
"..." in a variadic macro
Co-authored-by: Samuel Aldana <samuel.aldana@cognex.com>

* Added a function for computing a gaussian distributed complex number. The real version is adapted to use the complex version

* Missing header

* missed std:: I was too quick
Co-authored-by: pf <pf@pf-ubuntu-dev>

The recent change to use a dlib/__init__.py file instead of the dlib.so file directly messed it up.

* Added possibility to load PNG images from a data buffer.

* Fixed code not compiling with some versions of libpng that doesn't have const specifier.

* Used FileInfo struct as a single parameter for the read_image method.

error: calling a constexpr host function("log1p") from a device function("cuda_log1pexp") is not allowed. The experimental flag '--expt-relaxed-constexpr' can be used to allow this.

The error only happens with some versions of CUDA.

Previously they were restored to default values, which had the effect of negating the current setting of the calling code (whether set in the compiler options or by pragma previously)

Improve the error a user gets when trying to build the pyhton extention on windows but they didn't install visual C++.

paths instead of relying on CUDA_PATH to be set.