Notes:
- This release contains full 3-D convolution support and int8 support for inference.
- Additionally, there are major updates in the performance database for major models including those found in Torchvision.
- An assortment of bugs have been resolved in this release.
Changes:
- Fixed various issues in assembly kernels
- Fixed issue #92 and #79 for miopenOpTensor
- Fixed issue #88 for bzip2
- Fixed issue #77 algorithm mismatch
- Added Winograd support for fp32 backwards weights
- Added pooling inclusive mode
- Added tuning for direct group convolution algorithms
- Added additional kernel support for group convolutions
- Added API for 3-D convolutions
- Added support for int8 inference convolutions
- Added integer selection for pooling indexing
- Added minimum dependencies support
- Added RNN fp16 support on the MIOpen-HIP backend
- Added 1x1 convolution + bias + activation fusions
- Added workaround for issue #84 GPU memory access fault
- Added performance tuning for direct backwards weights
- Improved performance database coverage
- Improved internal quality by reducing redunant code
- Improved build instructions in README.md
- Improved performance database coverage for fusions
- Updated Docker components and requirements
Known Issues:
- RNNs do not support fp16 on the MIOpen-OpenCL backend
- OpenCL backend does not support GEMM convolutions in fp16