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mindspore/mindspore/ccsrc/parallel
mindspore-ci-bot 512d8e8510 !2687 [CT][MS][Auto-Parallel]Double recursion does not support the gatherv2 operator 5 years ago
..
allreduce_fusion Init GraphKernel. 5 years ago
auto_parallel !2687 [CT][MS][Auto-Parallel]Double recursion does not support the gatherv2 operator 5 years ago
graph_util update 5 years ago
ops_info !2245 Decouple ir::Tensor from python. 5 years ago
strategy_checkpoint fix some code-style warnings 5 years ago
tensor_layout xreshape tensor_redistrinution bug fix 5 years ago
CMakeLists.txt Add submodule id for log interface 5 years ago
context.cc enable optimizer parallel with broadcast 5 years ago
context.h enable optimizer parallel with broadcast 5 years ago
costmodel_context.cc implementing-searching-strategy-for-inference 5 years ago
costmodel_context.h implementing-searching-strategy-for-inference 5 years ago
device.h use std::vector instead of std::list to promote performance for parallel module 5 years ago
device_manager.cc update clang format rule 5 years ago
device_manager.h update clang format rule 5 years ago
device_matrix.cc update clang format rule 5 years ago
device_matrix.h fix the codex and bot warnings 5 years ago
dynamic_creator.h add sparse gatherv2 5 years ago
group_manager.cc sort include file in parallel dir 5 years ago
group_manager.h update clang format rule 5 years ago
node_check.cc Implementation for mindspore debugger 5 years ago
node_check.h update clang format rule 5 years ago
status.h fix_coding_style_check_warning 5 years ago
step_auto_parallel.cc check cast from optimizer in auto-parallel 5 years ago
step_auto_parallel.h support GatherV2 + Depend 5 years ago
step_parallel.cc Init GraphKernel. 5 years ago
step_parallel.h support reshape optimized 5 years ago
strategy.h changing the succive edges order in GetAliveSuccEdges() so that Triangle and Star Elimination can be merged into particular node; adding some check information 5 years ago
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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

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