This is the release notes of v0.2.0a3. See here for the complete list of solved issues and merged PRs.

Changes that break compatibility

Highlights

Support mt.diag on sparse 2d tensor (#254)
Move fetch into standalone package (#246)
Remove rough_size from tensor & remove chunk registration when creation failed (#266)
Remove chunk square limitation in lu decomposition (#272)
Allow registering different operand actors for different operands (#278)
Support execute graph without fusion (#294)
Support arithmetic operators on only nonzero elements in a sparse matrix (#299)
Implement operands for SparseVector (#313)
Remove chunk square limitation in cholesky decomposition (#327)
Allow batch rejecting peers in workers by endpoints (#328)
Support replacing actor classes given registration (#348)

Fix TensorInv tile when input tensor has only one chunk (#253)
Fix solve_triangular operand's sparse attributes (#257)
Fix kernel_mode decorator when an exception occurred in wrapped function (#274)
Pass sparse parameter when create fetch operand (#279)
Add sparse property for fuse operand (#284)
Use new allocation strategy to circumvent inflating granularity in arrow (#287)
Fix create existing operand actor (#228)
Validate axis for reduction (#304)
Fix execution size for fuse nodes (#309)
Fix arithmetic calculation with where (#314)
Remove use_one_memory_mapped_file argument when starting plasma_store (#318)
Fix errors caused by argument changes in tiledb (#324)
Support execute tiled tensor in distributed mode (#322)
Fix tiledb error when numpy int64 in shape (#339)
Register worker when finish initialization (#343)