v0.1.0
This is the release notes of v0.1.0. See here for the complete list of solved issues and merged PRs.
This release note only covers the difference from v0.1.0b1; for all highlights and changes, please refer to the release notes of the pre-releases:
New Features
- Support QR decomposition on short-and-fat tensor(sfqr method) (#116)
- Update tensor shape after execution (#122)
- Implement
__array__
protocol for Tensor (#127)
Enhancements
- Support execute tensor without fetching data (#95)
- Use property instead of weak-key dict to store cix (#109)
- Add
rough_nbytes
for tensor data type (#149)
Bug fixes
- Fix AttributeError on get_workers (#96)
- Fix summation on slicing on an array with same range (#104)
- Fix
setitem
andgetitem
generate same operand key (#108) - Check parameters for
rand
andrandn
(#110) - Fix compose failure after #103 (#112)
- Fix worker meta error (#130)
- Fix worker start fail on machines with insufficient memory, docs fixed also (#143)
- Fix --phy-mem arg error and BrokenPipeErrors under Python 2.7 (#162)
- Fix parse error of cache_mem (#171)
- Fix random execute that a random tensor can have different results when executed in different sessions (#178)
Installation
- Bug fixes on installation (scripts and extra requirement files in source dists) (#155)
Tests
- Add test cases for etcd and tasks web page (#86)