graphengine/RELEASE.md

Release 0.3.0-alpha

Major Features and Improvements

• It supports dynamic batches and shapes with certain fixed levels.(!22)
• Scope fusion interfaces are opened allowing user defined scope fusion rules.(!24)
• Enhance the maintenance and measurement capability.(!28)
• A package of compiled libraries is generated after compilation to facilitate code deployment.(!21)

Bugfixes

• Fix the bug that the interface of GE IR construction operator does not support dynamic input in the middle of the ordinary input port.(!24)
• Fix checkpoint subgraph validation and data callback process to resolve the problem that checkpoint could not be generated in some scenarios.(!28)
• When MindSpore is compiled in a directory involving symbolic links, GE log records real path of which code was built when executing testcases using installed whl package.(!16, !489)
• Find third-party software in specified directories only.(!18)

Thanks to our Contributors

Thanks goes to these wonderful people: wangcong，weiyang，yanghaorang，xutianchun，shibeiji Contributions of any kind are welcome!

Release 0.2.0-alpha

Major Features and Improvements

• Provides a common graph-level option, and multiple requirements can also share this mechanism in the future.
• Improve graph compilation performance.
• Optimize memory allocation.
• Optimize serveral operators e.g., Slice, StridedSlice, ScatterMax etc.

Bugfixes

• Delete redudant codes.(#I1EU2Z)
• Fix HCCL initilization bugs under train and eval scenarios.(#I1DIBJ)
• Optimize compilation and linking process, enhancing efficiency and performance of concurrent compilation of GraphEngine and MindSpore. (#I1DFIY)
• Fix the bug that GE checkpoint cannot save variable names correctly.(#I1DIBJ)
• Save dump files on every iteration instead of every execution.(#I1DIBJ)

Thanks to our Contributors

Thanks goes to these wonderful people: Wang Cong, Tianchun Xu, Haoran Yang.

Contributions of any kind are welcome!

Release 0.1.0-alpha

This is the initial release of GraphEngine(GE) which was designed by the researchers and engineers in Huawei Technologies Co.,Ltd. GE is implemented via C++ and acts as a powerful backing force for MindSpore. GE is a linked up module between MindSpore front end and Ascend Chips.

Main features

• GE API

  • GE provides an unified interface with the front end including graph management interfaces i.e., graph loading and graph execution, and GE core initiallization and finalization interfaces.

• Graph Processing

  • Six parts of graph processing operations are executed within GE, i.e. graph preparation, graph partition, graph optimization, graph compilation, graph loading and graph execution.
  • GE highly optimizes the graph defined by the front end to a form which can be effectively executed on Ascend Chips.
  • GE supports several optimizations to reduce computation costs, e.g. operator fusion, parallel operation, data format transition.

• Debugging

  • GE supports data dump and graph dump for debugging.
  • GE provides profiling tools to thoroughly analyze the speed performances.