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Results 61 - 70 of 73 for MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID (0.97 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_hashtable_ops_as_args.cc
namespace { constexpr StringRef kSharedNameAttr = "shared_name"; class LiftHashTableOpsAsArgsPass : public PassWrapper<LiftHashTableOpsAsArgsPass, OperationPass<ModuleOp>> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(LiftHashTableOpsAsArgsPass) explicit LiftHashTableOpsAsArgsPass() = default; StringRef getArgument() const final { // This is the argument used to refer to the pass in
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
// mlir::PrintOpStatsPass, but this pass will show the simpler information. namespace { class PrintOpStatsPass : public PassWrapper<PrintOpStatsPass, OperationPass<>> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(PrintOpStatsPass) explicit PrintOpStatsPass(raw_ostream *os = &llvm::errs(), std::vector<std::string> accepted_dialects = {})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/insert_quantized_functions.cc
using ::tensorflow::quantization::OpSet; class InsertQuantizedFunctionsPass : public PassWrapper<InsertQuantizedFunctionsPass, OperationPass<ModuleOp>> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(InsertQuantizedFunctionsPass) explicit InsertQuantizedFunctionsPass() = default; explicit InsertQuantizedFunctionsPass(QuantMethod quantization_method,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_graph_optimization_pass.cc
void getDependentDialects(mlir::DialectRegistry& registry) const override { mlir::RegisterAllTensorFlowDialects(registry); } public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(GraphOptPass) explicit GraphOptPass(std::vector<tensorflow::GraphOptimizationPass*> passes) : passes_(std::move(passes)) {} protected: void runOnOperation() override;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 22:19:26 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/insert_restore_op.cc
// function and replaces tf.Consts with the results of RestoreV2. class InsertRestoreOpPass : public PassWrapper<InsertRestoreOpPass, OperationPass<ModuleOp>> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(InsertRestoreOpPass) explicit InsertRestoreOpPass() = default; // The argument used to refer to the pass in the textual format (e.g. on the // commandline).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Mar 12 06:02:20 UTC 2023 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions.cc
class LiftQuantizableSpotsAsFunctionsPass : public impl::LiftQuantizableSpotsAsFunctionsPassBase< LiftQuantizableSpotsAsFunctionsPass> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID( LiftQuantizableSpotsAsFunctionsPass) LiftQuantizableSpotsAsFunctionsPass() = default; // Constructor with explicit user-provided `QuantizationSpecs`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 9.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_batch_matmul.cc
} // Optimize TFLite operations in functions. class OptimizeBatchMatmulPass : public impl::OptimizeBatchMatmulPassBase<OptimizeBatchMatmulPass> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(OptimizeBatchMatmulPass) OptimizeBatchMatmulPass() = default; OptimizeBatchMatmulPass(const OptimizeBatchMatmulPass &) {} void runOnOperation() override; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/convert_func_to_bfloat16.cc
namespace { class ConvertFuncToBfloat16Pass : public impl::ConvertFuncToBfloat16PassBase<ConvertFuncToBfloat16Pass> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(ConvertFuncToBfloat16Pass) explicit ConvertFuncToBfloat16Pass() = default; private: void runOnOperation() override; }; void ConvertFuncToBfloat16Pass::runOnOperation() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/modify_io_nodes.cc
#define GEN_PASS_DEF_MODIFYIONODESPASS #include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc" struct ModifyIONodesPass : public impl::ModifyIONodesPassBase<ModifyIONodesPass> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(ModifyIONodesPass) explicit ModifyIONodesPass() {} explicit ModifyIONodesPass(mlir::Type input_type, mlir::Type output_type) { this->input_type = input_type; this->output_type = output_type;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/pin_ops_with_side_effects.cc
// (2) Extend the variable dependency analysis across function boundaries. class PinOpsWithSideEffectsPass : public impl::PinOpsWithSideEffectsPassBase<PinOpsWithSideEffectsPass> { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(PinOpsWithSideEffectsPass) explicit PinOpsWithSideEffectsPass(const std::function<bool(Operation *)> & op_has_side_effects = OpHasSideEffects)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 7K bytes - Viewed (0)