tfmot.quantization.keras.default_8bit.Default8BitQuantizeLayoutTransform
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Default model transformations.
Inherits From: QuantizeLayoutTransform
Methods
apply
View source
apply(
model, layer_quantize_map
)
Implement default 8-bit transforms.
Currently this means the following.
- Pull activations into layers, and apply fuse activations. (
- Modify range in incoming layers for Concat. (
- Fuse Conv2D/DepthwiseConv2D + BN into single layer.
Args |
model
|
Keras model to be quantized.
|
layer_quantize_map
|
Map with keys as layer names, and values as dicts
containing custom QuantizeConfig s which may have been passed with
layers.
|
Returns |
(Transformed Keras model to better match TensorFlow Lite backend, updated
layer quantize map.)
|
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Last updated 2023-05-26 UTC.
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