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tfmot.quantization.keras.graph_transformations.transforms.LayerPattern

Defines a tree sub-graph pattern of Keras layers to match in a model.

LayerPattern can be used to describe various common patterns in model graphs that we need to find.

Examples:

Matches a Conv+BN+ReLU6 and DepthwiseConv+BN+ReLU6 pattern. pattern = LayerPattern('ReLU', {'max_value': 6.0}, [ LayerPattern('BatchNormalization', {}, [ LayerPattern('Conv2D|DepthwiseConv2D', {} []) ]) ])

Matches multiple Conv2Ds feeding into a Concat. pattern = LayerPattern('Concat', {}, [ LayerPattern('Conv2D', {}, []), LayerPattern('Conv2D', {}, []) ])

class_name Type of keras layer (such as Conv2D, Dense etc.)
config Map of arguments of the layer to match. For eg., for ReLU(6.0) it would be {'max_value': 6.0}.
inputs input layers to the layer.