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mindspore/tests/ut/python
xulei2020 8f392204be minddata build with mindspore-lite train 5 years ago
..
automl modify case 5 years ago
cachetests Enable cache for other leaf ops 5 years ago
communication add checks for init 5 years ago
dataset minddata build with mindspore-lite train 5 years ago
dtype remove name arg from gradoperation 5 years ago
exec mod_SoftmaxCrossEntropyWithLogits 5 years ago
hccl_test enable parallel optimizer in auto parallel 5 years ago
ir sparse optimizer 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 added Gumbel distribution 5 years ago
onnx modify_bug 5 years ago
ops !7361 Check whether the network args are tensors in the compile phase 5 years ago
optimizer !6002 Reduce inline passes traversal by skipping inline action if no pre-ad python pass exists 5 years ago
parallel !7571 fix bug in reshape strategy search when reshape as the first operator 5 years ago
parameter_feature remove name arg from gradoperation 5 years ago
pipeline Check whether the network args are tensors in the compile phase 5 years ago
profiler add some test case for profiler 5 years ago
pynative_mode !7373 Use MetaTensor instead of Initializer 5 years ago
test_data initial version 5 years ago
train move train.quant to compression module & add QuantizationAwareTraining 5 years ago
transform clean pylint 5 years ago
utils Use MetaTensor instead of Initializer 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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