neural_compressor.jax.quantization.layers_dynamic ================================================= .. py:module:: neural_compressor.jax.quantization.layers_dynamic .. autoapi-nested-parse:: Dynamic quantized layer implementations for JAX-backed Keras models. Classes ------- .. autoapisummary:: neural_compressor.jax.quantization.layers_dynamic.DynamicQDQLayer neural_compressor.jax.quantization.layers_dynamic.QDynamicDenseMixin neural_compressor.jax.quantization.layers_dynamic.QDynamicDense neural_compressor.jax.quantization.layers_dynamic.QDynamicEinsumDense neural_compressor.jax.quantization.layers_dynamic.QDynamicMultiHeadAttention neural_compressor.jax.quantization.layers_dynamic.QDynamicCachedGemma3Attention neural_compressor.jax.quantization.layers_dynamic.QDynamicGemma3VisionAttention neural_compressor.jax.quantization.layers_dynamic.QDynamicReversibleEmbedding Functions --------- .. autoapisummary:: neural_compressor.jax.quantization.layers_dynamic.register_dynamic_quantized_layer Module Contents --------------- .. py:function:: register_dynamic_quantized_layer(clso) Register quantized layer class for an original layer class. :param clso: Original layer class to map to a quantized implementation. :type clso: type :returns: Decorator that registers the quantized class. :rtype: Callable .. py:class:: DynamicQDQLayer(name, activation_dtype, asymmetric=False) Layer that applies dynamic quantize-dequantize to activations. .. py:class:: QDynamicDenseMixin Mixin that adds dynamic quantization to dense-like layers. .. py:class:: QDynamicDense Dynamically quantized Dense layer. .. py:class:: QDynamicEinsumDense Dynamically quantized EinsumDense layer. .. py:class:: QDynamicMultiHeadAttention Dynamically quantized MultiHeadAttention layer. .. py:class:: QDynamicCachedGemma3Attention Dynamically quantized CachedGemma3Attention layer. .. py:class:: QDynamicGemma3VisionAttention Dynamically quantized Gemma3VisionAttention layer. .. py:class:: QDynamicReversibleEmbedding Dynamically quantized ReversibleEmbedding layer.