v0.8.0a1

This is the release notes of v0.8.0a1. See here for the complete list of solved issues and merged PRs.

New Features

• Tensor
  • Add partial support of bessel functions (#2258, thanks @JuntaoMa!)
  • Implements mars.tensor.in1d (#2297)
• Learn
  • Implements mars.learn.utils.multiclass.unique_label (#2295)
• Services
  • Add get_storage_level_info api (#2228)
  • Basic rerun subtask (#2198)
  • Add API to fetch tileable graph as JSON (#2253, thanks @RandomY-2!)
  • Enable running on GPU for oscar (#2284)
• Others
  • Add support for seek method in memory cases (#2250)

Enhancements

• Support choosing aggregation algorithm at runtime (#2213)
• Add support for stateless actors (#2218)
• Add status filters for Cluster service (#2214)
• Reassign subtasks and filter nodes with status (#2159, thanks @vcfgv!)
• Add methods to sessions to get web endpoint (#2236)
• Ensure range index incremental for data source op like md.read_csv (#2232)
• Use Kubernetes Service to discover Mars Supervisors (#2227)
• Record mapper meta for shuffle task (#2248)
• Support data dependency for run_script (#2251)
• Refine oscar debugging (#2252)
• Support fetch_log for web session (#2257)
• Use batch method to reduce transferring cost for shuffle tasks (#2233)
• Allow turning off actor killing (#2273)
• Assign bands given devices of subtasks (#2276)
• Add bind method to facilitate extracting batch args (#2280)
• Reduce memory estimation for specific operands (#2283)

Bug fixes

• Fix NoDataToSpill when multiple storage quota requests happen simultaneously (#2203)
• Pass logging config file name into sub pools (#2222)
• Stop using thread local to store default session. (#2217)
• Fix possible CI failure when destroying remote object for incremental index (#2239)
• Fix service errors in Windows (#2237)

Documentation

• Doc refinement for Oscar (#2234)
• Add docs for batch methods (#2293)

Installation

• Merge default & distributed requirements (#2263)

Tests

• Add separate check pipeline (#2299)
• Fix delocate version to 0.8.2 to avoid deploy error (#2305)