pengwa b457cfaa8f Enable conditional optimization automatically (#15885) ... ### Enable conditional optimization on inputs Label sparsity based optimization can be enabled depending on the input inspection result. So this PR introduce a conditional optimization path for ORTModule, where we automatically detect data sparsity from label or embedding, and enable the graph optimization accordingly without any user interaction. This feature had a new requirement of delaying passing pre_grad graph transformation config to OrtModuleGraphBuilder, from `Initialize` phase to its `Build` phase. Because once after `_initialize_graph_builder` we can detect the input sparsity, and make a decision to enable the label/embed sparisty based graph optimizations. Add UT cases for label/embed input runtime inspector.		2023-05-23 13:08:05 +08:00
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orttraining	Enable conditional optimization automatically (#15885)	2023-05-23 13:08:05 +08:00
pytorch_frontend_examples	Enable pylint and numpy rules (#15218)	2023-03-27 20:37:53 -07:00
tools	[ROCm] reduce batch size to fix CI error (#15714)	2023-05-16 13:10:02 +08:00