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mindspore/tests/ut/python/pynative_mode
buxue acec35d4d4 support non tensor inputs 4 years ago
..
engine clean pylint 5 years ago
ge Rewrite tensor's __bool__ for pynative mode 5 years ago
nn remove the 'raise' in construct of Cell 5 years ago
ops support non tensor inputs 4 years ago
vm clean pylint 5 years ago
__init__.py clean pylint 5 years ago
test_backend.py Move some ir files which backend optpass dumped to the fold: verbose_ir_files 5 years ago
test_bprop.py Fix pylint warning for files under `pynative_mode` directory. 5 years ago
test_cont_cases.py remove name arg from gradoperation 5 years ago
test_context.py Modify profiling dir structure to fit the new Run Package 5 years ago
test_framstruct.py support non tensor inputs 4 years ago
test_graph_param_cases.py add support for tuple parameter transform 5 years ago
test_graph_return_const_param.py clean pylint 5 years ago
test_high_order_grad.py support non tensor inputs 4 years ago
test_hook.py mod_SoftmaxCrossEntropyWithLogits 5 years ago
test_implicit_conversion.py support int64 shape 5 years ago
test_insert_grad_of.py remove name arg from gradoperation 5 years ago
test_kw_and_kwarg.py remove name arg from gradoperation 5 years ago
test_multi_grad.py add support for pynative multicases 5 years ago
test_multigraph_sink.py remove redundant phi 5 years ago
test_parse_method.py support non tensor inputs 4 years ago
test_partial.py support int64 shape 5 years ago
test_pynative_model.py mod_SoftmaxCrossEntropyWithLogits 5 years ago
test_remove_unnecessary_phi.py remove loop can unroll flag, clean some python usage 5 years ago
test_sparse_pynative.py remove name arg from gradoperation 5 years ago
test_staging.py modify MetaTensor and Tensor 4 years ago
test_stop_gradient.py Add pynative bprop nested grad 5 years ago
test_training.py clean pylint 5 years ago
test_tuple_parameter.py support parameter tuple input in pynative mode 5 years ago
test_user_define_bprop_check.py check user define bprop when there is parameter in nested network 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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