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mindspore
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mindspore/tests/st
mindspore-ci-bot c10e3645b0 !10681 Add summary st for summary operators 4 years ago
..
auto_parallel use from_numpy and add do_copy option 5 years ago
broadcast fix broadcast bug 5 years ago
control use select implement tensor in list 5 years ago
dump add dump testcase 5 years ago
dynamic_shape add dynamic assign, pad_and_shift kernel 5 years ago
export add export mindir example 5 years ago
fusion !5502 Mod SoftmaxCrossEntropyWithlogits 5 years ago
gnn add tensor.ndim and rename tensor.size() to tensor.size 5 years ago
graph_kernel/model GraphKernel supports multi-output kernels 5 years ago
heterogeneous_excutor add st testcase 5 years ago
high_grad high grad 5 years ago
host_device modify_dense 5 years ago
mem_reuse change map calls 5 years ago
mix_precision add new testcase for access control 5 years ago
model_zoo_tests deepfm network use mindrecord dataset 5 years ago
nccl pipeline_split adapt parallel 5 years ago
networks add tbe fusion operators LambApplyOptimizerAssign and LambApplyWeightAssign for lamb optimizer 5 years ago
ops !10850 Conversion weights type when compute weights loss 4 years ago
probability fix minor issues in distribution classes 5 years ago
profiler Modify profiling dir structure to fit the new Run Package 5 years ago
ps ps 5 years ago
pynative use from_numpy and add do_copy option 5 years ago
quantization fix mobilenet 5 years ago
recompute add recompute nodes 5 years ago
summary add summary st for ops 5 years ago
tbe_networks modify_normal 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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