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mindspore/tests/st
mindspore-ci-bot 09d41736e1 !15532 add control flow testcases 4 years ago
..
auto_monad add testcase for side effect exprssion 4 years ago
auto_parallel fix error when train twice in pynative and feed model 4 years ago
broadcast update st test case: add error log after fail 4 years ago
control !15532 add control flow testcases 4 years ago
cpp device tensor 4 years ago
data_transfer add data transfer st 4 years ago
dump update the convert tool path 4 years ago
dynamic_shape dynamic shape bug fix 4 years ago
explainer add test cases for explainer 4 years ago
export_and_load add slice export ut test 4 years ago
fusion Change TensorAdd to Add, from r1.1 to master 4 years ago
gnn add tensor.ndim and rename tensor.size() to tensor.size 5 years ago
graph_kernel/model remove control_depend from py file 4 years ago
hcom open 8p testcase 4 years ago
heterogeneous_excutor [auto-monad] Support side-effects by auto-monad 4 years ago
high_grad high grad 5 years ago
host_device modify_dense 5 years ago
mem_reuse Change TensorAdd to Add, from r1.1 to master 4 years ago
mix_precision update st test case: add error log after fail 4 years ago
model_zoo_tests !12799 Fix typos in head descriptions about license. 4 years ago
nccl adding dynamic shape testcase to all reduce 4 years ago
networks Update normalization description at nn/layer/normalization.py 4 years ago
numpy_native fix diff, convolve 4 years ago
ops convert the implementation of BroadCastTo, ReluGrad, ReLU6Grad CPU operators to nnacl 4 years ago
probability fix bug 4 years ago
profiler add ascend profiling st 4 years ago
ps fixed the wait usage of shell script 4 years ago
pynative fix dim expand and broadcast 4 years ago
quantization add the test_lenet_quant.py testcase 4 years ago
recompute add recompute nodes 5 years ago
summary Add more log when collect graph and use summary operators 4 years ago
tbe_networks Change TensorAdd to Add, from r1.1 to master 4 years ago
__init__.py initial version 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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