- Fix vollo-tool compatibility with older bitstreams
- New DMA engine that reduces IO latencies by ~1.3us
- Initial support for non-streaming LSTM
- Vollo IP Core now available on request
- Add C library for configuring IP Core:
vollo-cfg
- Support for slicing/concatenation in the middle of models
- Support for BatchNorm nodes
- Support for Scan/LSTMCell nodes
- Add
--io-only option to vollo-onnx
- Add
program-metadata command to vollo-tool
- Fix compiler bug with transposing streaming dimension
- Fix accelerator bug in initial state of streaming models
- Support for filtering dropout layers
- Instruction packing improvements
- LSTM performance improvement
- Improvements to weight sharing
- Support for multi-model programs
- Provide Python bindings to Vollo RT:
vollo_rt
- Improved support and error messages for tensor indexing in compiler
- The unweave transform is now automatic
- Support for LSTM nodes in ONNX frontend
- Support for squeezing, unsqueezing, reduce sum, using
unweave
transformation
- Improved error reporting in
vollo_torch lowering to NNIR
vollo-torch fix type hints being incompatible with Python 3.7/3.8vollo-rt.h fix namespacing issue (error_t -> vollo_rt_error_t)- Runtime optimisations
- Added IO only benchmarks
- Initial support for ONNX models in compiler
- Support for LSTM nodes
- Improved error reporting in compiler
- Compiler API changes
- New runtime API with access to model metadata
- HW optimisations (pointwise operations)
- IA840F support
- Support for scalar (
int, float) literals in pointwise operations in
vollo-torch.
- Architectural changes in bitstream to support compiler
- Reduced latency from reduced core to core communication in the bitstream
- Add general model compiler and VM simulation with Python bindings in
vollo-python
- Add PyTorch frontend to model compiler in
vollo-torch