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mindspore
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mindspore/tests/ut/cpp
heleiwang 8ee4d8e92d Gnn data processing supports distributed scenarios 5 years ago
..
abstract mindspore path adjust 5 years ago
base Refactoring for base and abstract types: Moving Base into base folder; Splitting the abstract type and infer&specialize routines; 5 years ago
common decoupling core and context 5 years ago
dataset Gnn data processing supports distributed scenarios 5 years ago
debug initial version 5 years ago
device mindspore path adjust 5 years ago
ir mv cc file that end with py to pybind 5 years ago
kernel add unique_with_pad cpu kernel 5 years ago
mindrecord fix num samples in pk sampler 5 years ago
operator mv cc file that end with py to pybind 5 years ago
optimizer fix cell bprop 5 years ago
parallel temporarily cast between int64 and int32 to wait ME support int64 5 years ago
pipeline Fix coredump missing return statement after while loop 5 years ago
pre_activate rename param_value -> param_info 5 years ago
pynative decoupling core and context 5 years ago
python_input add UnsortedSegmentSum fission pass 5 years ago
serving serving add acl dvpp support, ut tests, return input status string message 5 years ago
session rename param_value -> param_info 5 years ago
stub add_tensor_layout_in_stra_ckpt 5 years ago
transform optimize code compile performance 5 years ago
utils add reshape type to tensor 5 years ago
vm decoupling core and debug 5 years ago
CMakeLists.txt optimize code compile performance 5 years ago
__init__.py initial version 5 years ago
runtest.sh Replace std::cout with MS_LOG in dataset unit test 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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