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mindspore
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mindspore/tests/st
mindspore-ci-bot 304211e2b6 !9772 modify yolov3-resnet18 test case 5 years ago
..
auto_parallel add use case 5 years ago
broadcast fix broadcast bug 5 years ago
control control_flow case 5 years ago
dump fix bug of dump failed 5 years ago
dynamic_shape add random_map ops 5 years ago
export add export mindir example 5 years ago
fusion !5502 Mod SoftmaxCrossEntropyWithlogits 5 years ago
gnn [ME] format code 5 years ago
graph_kernel/model GraphKernel supports multi-output kernels 5 years ago
heterogeneous_excutor add st testcase 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 !9772 modify yolov3-resnet18 test case 5 years ago
nccl pipeline_split adapt parallel 5 years ago
networks mod_comments 5 years ago
ops !9620 [MS][GPU] UnsortedSegmentMax_int64_Support 5 years ago
probability fix minor issues in distribution classes 5 years ago
profiler add profiler st 5 years ago
ps ps 5 years ago
pynative fix cpu pynative coredump 5 years ago
quantization add mobilenetv2_quant gpu test 5 years ago
serving modify export file name 5 years ago
summary fix summary GPU st 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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