o Xic @sddlmZddlZddlmZddlZddlmm Z ddl m Z ddl mZeeZ dddejejdd dd dddZdS)) annotationsN)Callable)rewriter)_constant_foldingTcCsdS)N)noderrS/home/ubuntu/.local/lib/python3.10/site-packages/onnxscript/optimizer/_optimizer.pysr )onnx_shape_inferencestop_if_no_changeinput_size_limitoutput_size_limit should_foldinlinemodelir.Modelnum_iterationsintr boolr r rr Callable[[ir.Node], bool | None]rreturnNonec Cstjjtj||||dttjt t t g||dt tj dddt ttttg}|rAtg|}tjj|} | jsLJ| |} | j|usWJdS)aOptimizes a model. Args: model: The model to be optimized. num_iterations: Number of times the optimization loop is repeated. onnx_shape_inference: Applies node-level shape-inference as part of optimization stop_if_no_change: Stop the optimization loop if no change is detected in an iteration. input_size_limit: Will not apply constant folding to ops with any input of size greater than this. Does not apply to special ops like Shape() and Size(). output_size_limit: Will not rewrite any foldable-op into a Constant op if the size of the output tensor is greater than this. should_fold: An optional function that takes a node and returns True if the node should be considered for folding. The function should return True/False value to indicate if this particular node should be folded, or None to use the default folding rules. inline: If True, inlines all functions in the model. )shape_inferencer rr)steps early_stopTr)lift_all_constants size_limitN)irpasses PassManagerrFoldConstantsPassr RewritePass_DEFAULT_REWRITE_RULES common_passesRemoveUnusedNodesPassRemoveUnusedFunctionsPassRemoveUnusedOpsetsPassLiftConstantsToInitializersPass'LiftSubgraphInitializersToMainGraphPassDeduplicateInitializersPass"CommonSubexpressionEliminationPass OutputFixPass NameFixPass InlinePass Sequentialin_placer) rrr r r rrrroptimizer_passresultrrr optimize_irs:     r3)r)rrrrr rr rr rrrrrrrrr) __future__rloggingtypingronnx_irronnx_ir.passes.commonrcommonr$ onnxscriptronnxscript.optimizerr getLogger__name__logger&DEFAULT_CONSTANT_FOLD_INPUT_SIZE_LIMIT'DEFAULT_CONSTANT_FOLD_OUTPUT_SIZE_LIMITr3rrrr s"