Notes:
- This release contains new layers, bug fixes, and a new convolution algorithm.
Changes:
- Added a dropout layer API for training
- Added a new SCGEMM algorithm for convolutions
- Added further support for bfp16 in convolutions
- Added a docker hub link for MIOpen docker images.
- Fixed issue with NaN appearing on batch normalization backwards pass in fp16
- Fixed softmax kernel bug in log mode #112
- Fixed gfx803 support issue #869
- Fixed gfx803 kernel issue #117
- Fixed issue with disabled GEMM #119
- Improved performance of batch normalization fp16 forward training layers
- Improved performance of convolutions layers
- Removed MIOpenGEMM as a requirement for the HIP backend. It is now optional.