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Module containing quantization code built on Keras abstractions.
Modules
collab_opts module: Module containing collaborative optimization code.
default_8bit module: Module containing 8bit default quantization scheme.
experimental module: Module containing experimental quantization features.
graph_transformations module: Module containing code for graph transformation.
quantizers module: Module containing Quantization abstraction and quantizers.
Classes
class QuantizeConfig: ABC interface for Keras layers to express how they should be quantized.
class QuantizeLayoutTransform: Apply transformations to the model.
class QuantizeRegistry: ABC interface which specifies how layers should be quantized.
class QuantizeScheme: ABC interface which specifies transformer and quantization registry.
class QuantizeWrapper: Quantizes the weights and activations of the keras layer it wraps.
class QuantizeWrapperV2: Quantizes the weights and activations of the keras layer it wraps.
Functions
fix_input_output_range(...): Fix the input and output ranges.
quantize_annotate_layer(...): Annotate a tf.keras layer to be quantized.
quantize_annotate_model(...): Annotate a tf.keras model to be quantized.
quantize_apply(...): Quantize a tf.keras model that has been annotated for quantization.
quantize_model(...): Quantize a tf.keras model with the default quantization implementation.
quantize_scope(...): Scope which can be used to deserialize quantized Keras models and layers.
remove_input_range(...): Remove the input range.