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graphengine/ge
zhengyuanhua 019b097cfe add checkout field exist when profiling json parse 3 years ago
..
analyzer ge log optimize 3 years ago
client fix error_message namespace 3 years ago
common add checkout field exist when profiling json parse 3 years ago
engine_manager common log optimize 3 years ago
executor Support session scope memory 3 years ago
ge_local_engine modify code format 3 years ago
ge_runtime Replace rtLabelGotoEx by rtLabelSwitchByIndex 3 years ago
generator add infer format for single op 3 years ago
graph !1660 Fix DSP for v1 control flow 3 years ago
host_cpu_engine add netoupt alwways 3 years ago
host_kernels modified: ge/host_kernels/gather_v2_kernel.cc 3 years ago
hybrid fwkacllib support inference when ge lib is not inited 3 years ago
inc update code from yellow zone 20201013 4 years ago
init Support session scope memory 3 years ago
ir_build !1649 dts: ir check data attr index valid 3 years ago
model run_graph_with_stream. 3 years ago
offline delete atc help of performance_mode 3 years ago
opskernel_manager report errormsg 3 years ago
plugin/engine !1261 aicpu算子优先级提升 3 years ago
proto change op_mapping and dump_task namespace. 3 years ago
session Support session scope memory 3 years ago
single_op !1662 Complement of cascading reference 3 years ago
stub python3,7 modify python3 3 years ago
CMakeLists.txt !1645 Support session scope memory 3 years ago
README.md update cmake 4 years ago
ge_inference.mk !1564 Bugfix: Delete abandoned optimize pass 3 years ago
ge_runner.mk !1564 Bugfix: Delete abandoned optimize pass 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