* 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)
* * Corrected interpolate_bilinear for non-RGB images not to collapse into grayscale (#2089)
* * interpolate_bilinear uses now pixel_to_vector for shorter code.
* pixels now have operator!=.
* * Explicitely float interpolation
* Using C++11 static_assert() in interpolation.
* * Corrected documentation for interpolate_bilinear, interpolate_quadratic
* * Corrected formatting near interpolate_bilinear
* wip: attempt to use cuda for loss mse channel
* wip: maybe this is a step in the right direction
* Try to fix dereferencing the truth data (#1)
* Try to fix dereferencing the truth data
* Fix memory layout
* fix loss scaling and update tests
* rename temp1 to temp
* readd lambda captures for output_width and output_height
clangd was complaining about this, and suggested me to remove them
in the first, place:
```
Lambda capture 'output_height' is not required to be captured for this use (fix available)
Lambda capture 'output_width' is not required to be captured for this use (fix available)
```
* add a weighted_loss typedef to loss_multiclass_log_weighted_ for consistency
* update docs for weighted losses
* refactor multi channel loss and add cpu-cuda tests
* make operator() const
* make error relative to the loss value
Co-authored-by: Juha Reunanen <juha.reunanen@tomaattinen.com>
* fix some warnings when running tests
* rever changes in CMakeLists.txt
* update example make use of newly promoted method
* update tests to make use of newly promoted methods
* wip: dcgan-example
* wip: dcgan-example
* update example to use leaky_relu and remove bias from net
* wip
* it works!
* add more comments
* add visualization code
* add example documentation
* rename example
* fix comment
* better comment format
* fix the noise generator seed
* add message to hit enter for image generation
* fix srand, too
* add std::vector overload to update_parameters
* improve training stability
* better naming of variables
make sure it is clear we update the generator with the discriminator's
gradient using fake samples and true labels
* fix comment: generator -> discriminator
* update leaky_relu docs to match the relu ones
* replace not with !
* add Davis' suggestions to make training more stable
* use tensor instead of resizable_tensor
* do not use dnn_trainer for discriminator
* add leaky_relu activation layer
* add inplace case for leaky_relu and test_layer
* make clear that alpha is not learned by leaky_relu
* remove branch from cuda kernel
* Problem: The CUDA runtime allocates resources for each thread, and apparently those resources are not freed when the corresponding threads terminate. Therefore, each instantiation of dnn_trainer leaks a bit of GPU memory.
Solution: Add possibility to pass thread pools from outside. This way, subsequent dnn_trainer instances can use the same threads, and there's no memory leak.
* Add helpful comments
* add loss_multiclass_log_weighted
* fix class name in loss_abstract
* add loss_multiclass_log_weighted test
* rename test function to match class name
* fix typo
* reuse the weighted label struct across weighted losses
* do not break compatibility with loss_multiclass_log_per_pixel_weighted
* actually test the loss and fix docs
* fix build with gcc 9
* Prevention of compiler warning due to usage of int instead of a size type
* Conversion of status type to long to prevent compiler warnings
* The returned number of read items from a buffer is specified in numbers of type "streamsize"
Co-authored-by: Hartwig <git@skywind.eu>
Davis King