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mindspore/tests/st/auto_parallel
ms_yan deb1e6e965 use from_numpy and add do_copy option 5 years ago
..
__init__.py initial version 5 years ago
env.sh add use case 5 years ago
onehot_model_parallel.py change API set_strategy() to shard() 5 years ago
optimizer_parallel.py use from_numpy and add do_copy option 5 years ago
parallel_strategy_search.py use from_numpy and add do_copy option 5 years ago
resnet50_expand_loss.py rename mirror_mean to gradients_mean 5 years ago
run_auto_parallel_loss_expand.sh fix auto parallel st 5 years ago
run_auto_parallel_resnet50_expand_loss.sh add auto parallel st 5 years ago
run_onehot_model_parallel.sh fix auto parallel st 5 years ago
run_optimizer_parallel.sh add optimizer_parallel level0 case 5 years ago
run_parallel_recursive_strategy_search.sh add auto parallel recursive use case 5 years ago
run_parallel_strategy_search.sh add auto parallel recursive use case 5 years ago
soft_entropy_loss_expand_parallel.py change API set_strategy() to shard() 5 years ago
test_expand_loss.py optim pylint 5 years ago
test_model_parallel_onehot.py fix pylint warnings 5 years ago
test_optimizer_parallel.py add optimizer_parallel level0 case 5 years ago
test_parallel_recursive_strategy_search.py add auto parallel recursive use case 5 years ago
test_parallel_strategy_search.py add auto parallel recursive use case 5 years ago
test_resnet50_expand_loss.py optim 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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