* Pad2d backward pass on GPU
* Faster Pad2D GPU backward pass (no zeroing needed)
* Fix out of bounds error
* Don't save prg
* Let compiler optimize division by 1
* More generic broadcasting (1s at the start)
* Bug fix
* Add comment
* Try to fix flaky test with other method
* Add mixed broadcast support
* 1kernel
* Separate broadcast tests
Co-authored-by: holonomicjl <[email protected]>
* no trailing whitespace
* GPU MaxPool2D.backward(); TinyConvNet train passes!
* Fix GPU avgpool.forward() init_val
Doesn’t change result but is simpler.
* Fix MaxPool GPU init_val
Tests only cover random non-negative inputs. This fixes issues if negative inputs are fed to GPU MaxPool2D. Test update to follow.
* to make it work locally
* definitely not working
* Conv2D GPU passes some of the tests
* Conv2D GPU passes more of the tests
* passes some tests and mnist
* removed unecessary code
* Conv2D Backpass works
* wrong test_ops.py
* white space + test backward
* ereased useless code
* removed default argument
* long lines
* works also with 4 channel .png files
* commenting out
* track
* to make it work locally
* definitely not working
* Conv2D GPU passes some of the tests
* Conv2D GPU passes more of the tests
* passes some tests and mnist
* removed unecessary code
* Conv2D Backpass works
* wrong test_ops.py
* white space + test backward
* ereased useless code
* removed default argument
* long lines
geohot