- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 14 for quant (0.18 sec)
-
tensorflow/compiler/mlir/quantization/stablehlo/tools/stablehlo_quant_opt.cc
mlir::registerTensorFlowPasses(); mlir::quant::stablehlo::registerPasses(); mlir::quant::stablehlo::registerBridgePasses(); mlir::stablehlo::registerPasses(); mlir::mhlo::registerAllMhloPasses(); // These passes are only used for testing purposes. mlir::quant::stablehlo::testing::registerTestPasses(); // Register StableHLO Quantizer pass pipelines. mlir::quant::stablehlo::RegisterPassPipelines();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 07:37:34 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/runlit.cfg.py
'mlir-opt', 'mlir-tflite-runner', 'mlir-translate', 'odml-to-stablehlo-opt', 'odml_to_stablehlo', 'odml-converter', 'stable-quant-opt', 'tac-opt-all-backends', 'tac-translate', 'tf-mlir-translate', 'tf-opt', 'tf-quant-opt', 'tf-reduce', 'tf-tfrt-opt', 'tf_tfjs_translate', 'tf_tfl_translate', 'tfcompile', 'tfg-opt-no-passes',
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 10 18:52:19 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter.cc
return IsOpSupported(op, "CPU"); } std::optional<std::string> GetDeviceName(mlir::Operation* op) { if (IsConst(op)) return std::nullopt; // The model may contain quant stats op which is unrelevant to the // execution. if (llvm::isa<mlir::func::ReturnOp, mlir::quantfork::StatisticsOp>(op)) return std::nullopt; if (!HasValidHardwareTarget(op)) return std::nullopt;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.h
// reaching feature parity with the old quantizer for dynamic range // quantization, specifically for // third_party/tensorflow/lite/tools/optimize/quantize_weights.h. // TODO(b/202468183): Selective quantization + quant debugger support for // dynamic range quantization for verify_numeric and whole_model_verify flags. TfLiteStatus QuantizeWeights( flatbuffers::FlatBufferBuilder* builder, const tflite::Model* input_model,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model.cc
PassManager pm((*module)->getName(), OpPassManager::Nesting::Implicit); if (debug_options.has_value()) { // Add debugging instrumentation tensorflow::InitPassManager(pm, debug_options.value()); } quant::QuantizationSpecs quant_specs; quant_specs.inference_type = tflite::TflTypeToTfType(inference_type); quant_specs.post_training_quantization = true; quant_specs.disable_per_channel = disable_per_channel;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.cc
serialized_model, &context, UnknownLoc::get(&context)); // Apply quantization passes. PassManager pm((*module)->getName(), OpPassManager::Nesting::Implicit); quant::QuantizationSpecs quant_specs; quant_specs.inference_type = tflite::TflTypeToTfType(inference_type); quant_specs.weight_quantization = true; quant_specs.weight_only_quantization = weight_only_quantization;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 9.5K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
} } else if (auto q_uniform_type = mlir::dyn_cast<mlir::quant::UniformQuantizedType>(type)) { return GetTFLiteType(q_uniform_type.getStorageType(), q_uniform_type.isSigned()); } else if (auto q_peraxis_type = mlir::dyn_cast<mlir::quant::UniformQuantizedPerAxisType>( type)) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (2) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
#include "mlir/Dialect/Affine/Analysis/LoopAnalysis.h" // from @llvm-project #include "mlir/Dialect/Arith/IR/Arith.h" // from @llvm-project #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project #include "mlir/Dialect/Quant/QuantOps.h" // from @llvm-project #include "mlir/IR/Attributes.h" // from @llvm-project #include "mlir/IR/Block.h" // from @llvm-project #include "mlir/IR/BuiltinAttributes.h" // from @llvm-project
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
// multi-threaded. let dependentDialects = [ "chlo::ChloDialect", "mhlo::MhloDialect", "shape::ShapeDialect", "stablehlo::StablehloDialect", "vhlo::VhloDialect", "quant::QuantizationDialect", ]; let constructor = "TF::CreateXlaCallModuleDeserializationPass()"; } def XlaCallModuleSerializationPass : Pass<"tf-xla-call-module-serialization", "ModuleOp"> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
pkg/scheduler/framework/types.go
if r == nil { return } for rName, rQuant := range rl { switch rName { case v1.ResourceCPU: r.MilliCPU += rQuant.MilliValue() case v1.ResourceMemory: r.Memory += rQuant.Value() case v1.ResourcePods: r.AllowedPodNumber += int(rQuant.Value()) case v1.ResourceEphemeralStorage: r.EphemeralStorage += rQuant.Value() default: if schedutil.IsScalarResourceName(rName) {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Jun 12 19:28:17 UTC 2024 - 36.7K bytes - Viewed (0)