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PyTimeloop
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Standard suite of processors for timeloopfe. More...
Namespaces | |
| namespace | constraint_attacher |
| Takes constraints from constraints lists and attaches them to objects in the architecture. | |
| namespace | constraint_macro |
| Defines constraint macros to be used for simplifying constraint specification. | |
| namespace | dataspace2branch |
| Resolves which data spaces are kept in which branches. | |
| namespace | enable_dummy_table |
| Enables the dummy table for Accelergy to placeholder energy/area. | |
| namespace | permutation_optimizer |
| Optimizes permutation by pruning superfluous permutations. | |
| namespace | required_actions |
| Takes constraints from constraints lists and attaches them to objects in the architecture. | |
| namespace | sparse_opt_attacher |
| Takes sparse optimizations from sparse optimizations lists and attaches them to the architecture. | |
| namespace | to_diagram_processor |
Standard suite of processors for timeloopfe.
| pytimeloop.timeloopfe.v4.processors.ConstraintAttacherProcessor = constraint_attacher.ConstraintAttacherProcessor |
| pytimeloop.timeloopfe.v4.processors.ConstraintMacroProcessor = constraint_macro.ConstraintMacroProcessor |
| pytimeloop.timeloopfe.v4.processors.Dataspace2BranchProcessor = dataspace2branch.Dataspace2BranchProcessor |
| pytimeloop.timeloopfe.v4.processors.EnableDummyTableProcessor = enable_dummy_table.EnableDummyTableProcessor |
| pytimeloop.timeloopfe.v4.processors.PermutationOptimizerProcessor = permutation_optimizer.PermutationOptimizerProcessor |
| list pytimeloop.timeloopfe.v4.processors.REQUIRED_PROCESSORS |
| pytimeloop.timeloopfe.v4.processors.RequiredActionsProcessor = required_actions.RequiredActionsProcessor |
| pytimeloop.timeloopfe.v4.processors.SparseOptAttacherProcessor = sparse_opt_attacher.SparseOptAttacherProcessor |