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graphengine/ge
wangwenhua1@huawei.com 6f4d27dabe display model info 3 years ago
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analyzer !107 bugfix:fix core question because of DestroyGraphJson lack of return 4 years ago
client 回退 'Pull Request !709 : device log change' 3 years ago
common display model info 3 years ago
engine_manager ge executor support windows 4 years ago
executor !701 add dt_variant type. 3 years ago
ge_local_engine update dlog change 3 years ago
ge_runtime cpplint magic num & define macro 3 years ago
generator display model info 3 years ago
graph !732 Fix bug of modify output shape to -2. 3 years ago
host_cpu_engine update dlog change 3 years ago
host_kernels Feature: repair dynamic_stitch_kernel folding bug 3 years ago
hybrid Check Aicpu op type list 3 years ago
inc update code from yellow zone 20201013 4 years ago
init Remove pass reporter callback to hccl 3 years ago
ir_build Add keep_dtype attribute on operators to keep precision unchanged. 3 years ago
model test atc dynamic shape 3 years ago
offline display model info 3 years ago
omm cpplint cast fix 3 years ago
opskernel_manager Remove pass reporter callback to hccl 3 years ago
plugin/engine remove soft link and support other scene cmake 4 years ago
proto add dt_variant type. 3 years ago
session display model info 3 years ago
single_op !685 profiling data add iter num 3 years ago
stub profiling AR version 1 3 years ago
CMakeLists.txt 回退 'Pull Request !709 : device log change' 3 years ago
README.md update cmake 4 years ago
ge_inference.mk drease om size 3 years ago
ge_runner.mk drease om size 3 years ago
module.mk update ge folder 4 years ago

README.md

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图引擎模块(GE)是MindSpore的一个子模块，其代码由C++实现，位于前端模块ME和底层硬件之间，起到承接作用。图引擎模块以ME下发的图作为输入，然后进行一系列的深度图优化操作，最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点，做了特定的优化工作，以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时，GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成，详细的架构图如下所示

C++ Text Makefile Shell CMake other