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mindspore/tests/ut/python
laiyongqiang 11244f790a increase variable_memory_max_size max size from 30GB to 31GB 5 years ago
..
automl modify case 5 years ago
cachetests Block take/skip under cache and fix docstring 5 years ago
communication !8675 support allreduce prod 5 years ago
dataset !9244 Fix core dump with concat and getter_pass 5 years ago
dtype Support determine tensor in(not in) a list(tuple) 5 years ago
exec mod_SoftmaxCrossEntropyWithLogits 5 years ago
hccl_test enable parallel optimizer in auto parallel 5 years ago
ir reverse fix shape=0 5 years ago
keep_order remove name arg from gradoperation 5 years ago
metrics clean pylint 5 years ago
mindrecord Transition tools for tensorrecord to mindrecord,support 1.13.0-rc1 and higher version 5 years ago
model do mixprecision in c++ for pynative 5 years ago
nn Add Beta distribution 5 years ago
onnx modify export file name 5 years ago
ops initial commit 5 years ago
optimizer !6002 Reduce inline passes traversal by skipping inline action if no pre-ad python pass exists 5 years ago
parallel gatherv2 axis split repeated calculation 5 years ago
parameter_feature support key ward way to pass arg for outermost net in graph mode 5 years ago
pipeline Support the outermost layer network inputs are list or dict or scalar 5 years ago
profiler add some test case for profiler 5 years ago
pynative_mode increase variable_memory_max_size max size from 30GB to 31GB 5 years ago
test_data initial version 5 years ago
train !7534 SummaryRecord support to record mindexplain data 5 years ago
transform clean pylint 5 years ago
utils modify export file name 5 years ago
__init__.py initial version 5 years ago
conftest.py Rebase up to 88ded11f5971f547adb7e1baecd3330c17fc5330 5 years ago
runtest.sh perfect annotation of ops and context and support bool equal 5 years ago
runtest_opensrc.sh initial version 5 years ago
test_log.py pylint waring clean 5 years ago
ut_filter.py clean pylint 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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