CoreAI-Opt
  • API Reference
  • GitHub Repo
/

Introduction

  • Installation
  • How to use coreai-opt
  • Integration with Core AI

Examples

  • Toy Model Examples (Jupyter Notebooks)
    • Applying quantization to an MNIST model
    • Applying palettization to an MNIST model
    • Applying joint palettization and activation quantization to an MNIST model
  • Model Examples
    • ResNet50 model: Weight + Activation Quantization (PTQ)
    • Mixed-precision palettization with ResNet50
    • EDSR model: Weight palettization + activation quantization (PTQ)

Core Algorithms and APIs

  • Quantization
    • Basics
    • API Overview
    • Config API
    • Deeper Dive
  • Palettization
    • Basics
    • API Overview
    • Config API

Other Workflows and Utilities

  • Joint Compression
  • Mixed-Precision Compression
  • Inspecting PyTorch Model Structure
  • 16-bit PyTorch Model Casting
  • Compressing Core AI Models

Reference

  • API Reference
    • coreai_opt.CoreMLExportError
    • coreai_opt.ExportBackend
    • coreai_opt.casting.cast_fp32_to_fp16
    • coreai_opt.casting.cast_int32_to_int16
    • coreai_opt.casting.cast_to_16_bit_precision
    • coreai_opt.config.CompressionConfig
    • coreai_opt.config.CompressionSpec
    • coreai_opt.config.CompressionType
    • coreai_opt.config.ModuleCompressionConfig
    • coreai_opt.config.OpCompressionConfig
    • coreai_opt.config.WeightOnlyModuleValidationMixin
    • coreai_opt.config.WeightOnlyOpValidationMixin
    • coreai_opt.config.spec.CompressionComponentFactoryBase
    • coreai_opt.config.spec.CompressionSimulatorBase
    • coreai_opt.config.spec.CompressionTargetTensor
    • coreai_opt.coreai_utils.CompressionGranularity
    • coreai_opt.coreai_utils.DType
    • coreai_opt.coreai_utils.palettize_weights
    • coreai_opt.coreai_utils.quantize_weights
    • coreai_opt.coreai_utils.sparsify_weights
    • coreai_opt.coreai_utils.common.QScheme
    • coreai_opt.inspection.ModelInspector
    • coreai_opt.inspection.ModelSummary
    • coreai_opt.inspection.ModuleContext
    • coreai_opt.inspection.ModuleInfo
    • coreai_opt.inspection.OpInfo
    • coreai_opt.inspection.SourceFrame
    • coreai_opt.palettization.KMeansPalettizer
    • coreai_opt.palettization.KMeansPalettizerConfig
      • presets
        • w4
        • w6
        • w8
    • coreai_opt.palettization.ModuleKMeansPalettizerConfig
      • presets
        • w4
        • w6
        • w8
    • coreai_opt.palettization.PalettizationSpec
    • coreai_opt.palettization.config.OpKMeansPalettizerConfig
    • coreai_opt.palettization.spec.PalettizationGranularity
    • coreai_opt.palettization.spec.PerGroupedChannelGranularity
    • coreai_opt.palettization.spec.PerTensorGranularity
    • coreai_opt.palettization.spec.default_weight_palettization_spec
    • coreai_opt.pruning.MagnitudePruner
    • coreai_opt.pruning.MagnitudePrunerConfig
    • coreai_opt.pruning.ModuleMagnitudePrunerConfig
    • coreai_opt.pruning.PruningSpec
    • coreai_opt.pruning.config.ConstantSparsitySchedule
    • coreai_opt.pruning.config.OpMagnitudePrunerConfig
    • coreai_opt.pruning.config.PolynomialDecaySchedule
    • coreai_opt.pruning.config.SparsityScheduleBase
    • coreai_opt.pruning.spec.ChannelStructured
    • coreai_opt.pruning.spec.PruneImplBase
    • coreai_opt.pruning.spec.PruningScheme
    • coreai_opt.pruning.spec.Unstructured
    • coreai_opt.pruning.spec.default_weight_pruning_spec
    • coreai_opt.quantization.ExecutionMode
    • coreai_opt.quantization.ModuleQuantizerConfig
      • presets
        • w4
        • w4_per_block
        • w8
    • coreai_opt.quantization.QuantizationSpec
    • coreai_opt.quantization.Quantizer
    • coreai_opt.quantization.QuantizerConfig
      • presets
        • w4
        • w4_per_block
        • w8
    • coreai_opt.quantization.config.OpQuantizerConfig
    • coreai_opt.quantization.config.QATSchedule
    • coreai_opt.quantization.spec.GlobalMinMaxQParamsCalculator
    • coreai_opt.quantization.spec.MinMaxRangeCalculator
    • coreai_opt.quantization.spec.MovingAverageQParamsCalculator
    • coreai_opt.quantization.spec.PerBlockGranularity
    • coreai_opt.quantization.spec.PerChannelGranularity
    • coreai_opt.quantization.spec.PerTensorGranularity
    • coreai_opt.quantization.spec.QParamsCalculatorBase
    • coreai_opt.quantization.spec.QuantizationComponentFactory
    • coreai_opt.quantization.spec.QuantizationFormulation
    • coreai_opt.quantization.spec.QuantizationGranularity
    • coreai_opt.quantization.spec.QuantizationScheme
    • coreai_opt.quantization.spec.RangeCalculatorBase
    • coreai_opt.quantization.spec.RunningRangeMixin
    • coreai_opt.quantization.spec.StaticQParamsCalculator
    • coreai_opt.quantization.spec.default_activation_quantization_spec
    • coreai_opt.quantization.spec.default_weight_quantization_spec
    • coreai_opt.quantization.spec.fake_quantize.FakeQuantizeImplBase

Resources

  • Changelog
  1. CoreAI-Opt /
  2. API Reference /
  3. coreai_opt.palettization.KMeansPalettizerConfig /
  4. presets /
  5. w8
View as Markdown

w8ΒΆ

w8()

8-bit palettization, per-tensor.

Returns:

8-bit palettization configuration.

Return type:

KMeansPalettizerConfig

Previous
w6
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coreai_opt.palettization.ModuleKMeansPalettizerConfig

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