v0.5.0
v0.5.0 Release Notes
- Added Numpy buffers (#169):
- The user can now decide if to use the
torch.as_tensor
function or thetorch.from_numpy
one to convert the Numpy buffer into tensors when sampling (#172).
- The user can now decide if to use the
- Added optimizations to reduce training time (#168).
- Added the possibility to keep only the last
n
checkpoints in an experiment to avoid filling up the disk (#171). - Fix bugs (#167).
- Update documentation.