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Results 101 - 110 of 306 for Quantized (0.23 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/utils/math_utils.h
#include "mlir/Support/LogicalResult.h" // from @llvm-project namespace mlir::quant::stablehlo { // Decomposes a given floating point value num into a normalized and quantized // fraction and an integral power of two. LogicalResult QuantizeMultiplier(double double_multiplier, int32_t& quantized_fraction, int32_t& shift); } // namespace mlir::quant::stablehlo
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 18 07:43:59 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/cpu_hardware.cc
// This basically assumes pure load/store. This is just fake data. constexpr float kCPUCopyUnitCost = 0.5; // Default values. constexpr float kCPUDefaultFixedValuedCost = 10000.0; // Quantized inference cost efficiency. // For CPU, quantized inference is ~3x faster than the float alternative, this // is just an estimation. constexpr float kQuantizedInferenceEfficiency = 0.3;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/passes.h
RewritePatternSet* patterns); // Populates TF to MHLO legalization for some of the quantization ops. // // TODO(hinsu): Remove this once we combine quantized and non quantized op // legalization in the ODML conversion pipeline. void PopulateLegalizeTfQuantizationPatterns(MLIRContext* context, RewritePatternSet* patterns);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/pass_pipeline.cc
AddShapeLegalizationPasses(pm); pm.addNestedPass<func::FuncOp>( CreateConvertCustomAggregationOpToQuantStatsPass()); pm.addPass(createQuantizeCompositeFunctionsPass(options)); // Add an inliner pass to inline quantized StableHLO functions. pm.addPass(createInlinerPass()); if (pipeline_config.unpack_quantized_types()) { AddStablehloQuantToIntPasses(pm); } } void AddWeightOnlyQuantizationPasses(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils.h
limitations under the License. ==============================================================================*/ // This header file defines common utils used when transforming TF ops to // Uniform Quantized ops. #ifndef TENSORFLOW_COMPILER_MLIR_QUANTIZATION_TENSORFLOW_UTILS_TF_TO_UNIFORM_ATTRIBUTE_UTILS_H_ #define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_TENSORFLOW_UTILS_TF_TO_UNIFORM_ATTRIBUTE_UTILS_H_
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/const_tensor_utils.h
absl::StatusOr<mlir::quant::QuantizedType> GetQuantizedType( const tflite::TensorT& tensor, mlir::Builder builder, bool is_constant = false, mlir::Type storage_type = {}); // Imports float tensor with calibration value into calibrated quantized type. absl::StatusOr<mlir::quant::QuantizedType> GetCalibratedQuantizedType( const tflite::TensorT& tensor, mlir::Builder builder); absl::StatusOr<mlir::TensorType> GetTensorType(const tflite::TensorT& tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 23:04:40 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_patterns.td
class UsedBy<string op> : Constraint< CPred<"llvm::isa<mlir::TFL::" # op # "Op>(*$0.getUsers().begin())">>; // When the op is passing-through, the output types of the quantized ops need // to be updated as well. Since the quantize op manages its own type by the // "qtype" attribute, we should update the type shape in this attribute. def ReorderTransposeDequantQuant : Pat<(TF_TransposeOp:$old_value
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
"quantfork::QuantizationForkDialect" ]; let options = [ ListOption<"quantize_allowlist_", "quantize-allowlist", "std::string", "comma separated list of allowlisted functions to be quantized. Only used in tests">, Option<"quantize_signed_", "quantize-signed", "bool", "false", "signed inference type. Only used in tests">,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/utils/math_utils.cc
quantized_fraction = static_cast<int32_t>(std::round(fraction * (1L << 15))); // Clip extreme values. These are more than enough to overflow int8, the // storage type for quantized values, and the final values will be clamped // no matter what. if (quantized_fraction == (1L << 15)) { quantized_fraction /= 2; ++shift; } if (shift < -15) { shift = 0;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 08:32:43 UTC 2024 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/quantization_info.proto
message QuantizationInfo { // min/max of the per axis value range. To quantize the value, the metadata // of the target properties should be specified or read from the ops // quantization specification. message MinMax { float min = 1; float max = 2; } // Affine parameters to quantize the per axis value. The metadata of the // target properties should be specified as well.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 08 03:45:04 UTC 2019 - 2.3K bytes - Viewed (0)