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mindspore/tests/st
huanghui d9fd24decb fix cpu kernel scatter_nd_update 4 years ago
..
auto_monad remove control_depend from py file 4 years ago
auto_parallel fix error when train twice in pynative and feed model 4 years ago
broadcast open 8p testcase 5 years ago
control Fix pylint issues in test_cont_break.py 4 years ago
cpp refactor cpp context, add string tensor, add get tensor by name 4 years ago
data_transfer add data transfer st 5 years ago
dump update the convert tool path 5 years ago
dynamic_shape dyanmic shape bug fix 4 years ago
export_and_load add export bgcf mindir test 4 years ago
fusion Change TensorAdd to Add, from r1.1 to master 5 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 5 years ago
heterogeneous_excutor [auto-monad] Support side-effects by auto-monad 5 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 5 years ago
mix_precision fix bn cast bug 5 years ago
model_zoo_tests !12799 Fix typos in head descriptions about license. 5 years ago
nccl adding dynamic shape testcase to all reduce 5 years ago
networks Update normalization description at nn/layer/normalization.py 4 years ago
numpy_native fix numpy_native ci error on cpu 4 years ago
ops fix cpu kernel scatter_nd_update 4 years ago
probability 新增深度概率用例 5 years ago
profiler add ascend profiling st 5 years ago
ps fix error when train twice in pynative and feed model 4 years ago
pynative throw exception when tensor has zero in shape 4 years ago
quantization add 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 5 years ago
tbe_networks Change TensorAdd to Add, from r1.1 to master 5 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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