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Results 1 - 5 of 5 for CreateOrderByDialectPass (0.27 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/order_by_dialect.cc
block.push_back(op); } } } }); } } } // namespace std::unique_ptr<Pass> CreateOrderByDialectPass() { return std::make_unique<OrderByDialectPass>(); } void RegisterOrderByDialectPass() { registerPass(CreateOrderByDialectPass); } } // namespace TF
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Nov 08 17:01:11 UTC 2022 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/order_by_dialect.h
#include "mlir/Pass/Pass.h" // from @llvm-project namespace mlir { namespace TF { // Create an instance of a pass that reorders ops so ops of the same dialect are // next to each other. std::unique_ptr<Pass> CreateOrderByDialectPass(); // Register this pass in the global registry of MLIR. void RegisterOrderByDialectPass(); } // namespace TF } // namespace mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 01 14:17:18 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/mlprogram.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 09 22:39:15 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
// non-quantized inputs and outputs. std::unique_ptr<OperationPass<func::FuncOp>> CreateLowerQuantizedPass(); // Reorders ops so ops of the same dialect are next to each other. std::unique_ptr<Pass> CreateOrderByDialectPass(); // Groups ops into functions that only contain one dialect. std::unique_ptr<Pass> CreateGroupByDialectPass(); // Removes unused parameters from functions & their callers.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
to %a = "x.f"() %c = "x.f"(%a) %b = "y.f"(%a) so that the two "x" dialect instructions are next to each other. }]; let constructor = "TF::CreateOrderByDialectPass()"; } def GroupByDialectPass : Pass<"tf-group-by-dialect", "mlir::ModuleOp"> { let summary = "Groups ops into functions that only contain one dialect."; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)