5.8. PopART
3.1.0
New features
Added error trap if attempting to use a non-contiguous NumPy array to copy tensors off the device.
Added support for negative axes to the
Split
andSlice
ops.Added support for steps > 1 and steps < -1 to the
Slice
op.Added support to the
Resize
op for both scales and sizes inputs (one of the two tensors is empty).Added float16 support to
cumsum
.Added support for custom transforms (experimental).
Bug Fixes
Fixed potential hang in device detach.
Other improvements
Load Poplar executable files lazily if they are named with a hash.
Known issues
None
Compatibility changes
The
popart::PopOpx
class has been marked as deprecated. Please change your custom ops to inherit frompopart::Opx
instead. Thepopart::PopOpx
class will likely be removed in the next release.
3.0.0
New features
Add support for scatterreduce with max and min reductions providing additional operation coverage.
Support Nesterov momentum for SGD providing additional optimiser functionality.
Add multi reducescatter and allgather to support merged collectives.
For more details refer to
popart::ReplicatedCollectivesSettings
.Add batchnorm with unbiased variance for PopTorch.
Bug Fixes
None
Other improvements
Merge PopART User Guide and API documentation documentation.
Improvements to PopART User Guide including sections for:
overlapped IO
converting ONNX models
replication
glossary
Improvements to printing tensors. The output of C++
PrintTensorOp
or Python printtensor is automatically summarized and aligned, making it easier to read. New formatting options have also been added to allow configuration of the output.
Known issues
None
Compatibility changes
None