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tensorflow/compiler/mlir/tensorflow/transforms/passes.h
// shape assignment in shape_inference. std::unique_ptr<OperationPass<func::FuncOp>> CreateReplicateTensorListInitOpsPass(); // Performs Shape Inference on the TensorFlow dialect using the global registry. std::unique_ptr<OperationPass<ModuleOp>> CreateTFShapeInferencePass( ArrayRef<ArrayRef<int64_t>> input_shapes = {}); // Performs TF.data optimizations.
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/lite/experimental/tac/execution_metadata_exporter_test.cc
func.return %3 : tensor<2x1xf32> })"; const std::string kExpectedFB = CreateRuntimeMetadata(); mlir::DialectRegistry registry; registry.insert<mlir::TFL::TensorFlowLiteDialect, mlir::arith::ArithDialect, mlir::func::FuncDialect>(); mlir::MLIRContext context(registry); auto module = mlir::OwningOpRef<mlir::ModuleOp>( mlir::parseSourceString<mlir::ModuleOp>(kMLIR, &context));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/register_common_dialects.cc
namespace mlir { void RegisterCommonToolingDialects(mlir::DialectRegistry& registry) { mlir::RegisterAllTensorFlowDialects(registry); mlir::mhlo::registerAllMhloDialects(registry); mlir::registerAllDialects(registry); mlir::registerAllExtensions(registry); mlir::stablehlo::registerAllDialects(registry); registry.insert<mlir::TFL::TensorFlowLiteDialect>(); registry.insert<mlir::kernel_gen::tf_framework::TFFrameworkDialect>();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 22:45:35 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/runtime_fallback/runtime_fallback_executor.cc
} void RuntimeFallbackExecutor::Prepare(llvm::StringRef mlir_input) { // We only support IR written in the Tensorflow dialect. mlir::DialectRegistry registry; mlir::RegisterAllTensorFlowDialects(registry); mlir::MLIRContext context(registry); llvm::SourceMgr source_mgr; source_mgr.AddNewSourceBuffer( llvm::MemoryBuffer::getMemBuffer(mlir_input, "test_ir"), llvm::SMLoc());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/backend_compiler.h
#include "tensorflow/core/tfrt/runtime/runtime.h" namespace tensorflow { class BackendCompiler { public: virtual ~BackendCompiler(); virtual void GetDependentDialects(mlir::DialectRegistry& registry) const {} // Compile the `module` in TF dialect. The result module should be also in TF // dialect. virtual absl::Status CompileTensorflow( tfrt_stub::ModelRuntimeContext& model_context,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 10 10:31:36 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_variable_ops_to_ml_program.cc
: public impl::LowerVariableOpsToMlProgramPassBase< LowerVariableOpsToMlProgramPass> { explicit LowerVariableOpsToMlProgramPass() = default; void getDependentDialects(DialectRegistry& registry) const override { registry.insert<mlir::tf_saved_model::TensorFlowSavedModelDialect, ml_program::MLProgramDialect>(); } void runOnOperation() override { auto module = getOperation();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 06 23:53:00 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/odml_converter_main.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:05:30 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.cc
} if (input_mlir) { mlir::DialectRegistry registry; registry.insert<mlir::TFL::TensorFlowLiteDialect, mlir::arith::ArithDialect, mlir::func::FuncDialect>(); mlir::func::registerAllExtensions(registry); context->appendDialectRegistry(registry); source_mgr->AddNewSourceBuffer(std::move(buffer), llvm::SMLoc()); return mlir::OwningOpRef<mlir::ModuleOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 03 03:47:03 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_custom_aggregation_op_to_quant_stats.cc
// This is a brief description of the pass. return "Convert tf.CustomAggregator op to quant.Stats"; } void getDependentDialects(DialectRegistry ®istry) const override { registry.insert<TF::TensorFlowDialect>(); registry.insert<quant::QuantizationDialect>(); registry.insert<quantfork::QuantizationForkDialect>(); } void runOnOperation() override; }; class ConvertCustomAggregationOpToQuantStats
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/converter_python_api.h
// Sparsifies model to encode sparse tensors with proper format. Throws error if // sparsification fails. PyObject* MlirSparsifyModel(PyObject* data); // Registers the given custom opdefs to TensorFlow global op registry. PyObject* RegisterCustomOpdefs(PyObject* list); // Returns the collected TFLite conversion errors. std::vector<std::string> RetrieveCollectedErrors(); // Returns MLIR string dump of the given Flatbuffer model.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 18:18:30 UTC 2024 - 3.6K bytes - Viewed (0)