tfmot.quantization.keras.collab_opts.Default8BitPrunePreserveQuantizeScheme
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Default 8 bit Prune Preserve Quantization Scheme.
Inherits From: Default8BitQuantizeScheme, QuantizeScheme
tfmot.quantization.keras.collab_opts.Default8BitPrunePreserveQuantizeScheme(
disable_per_axis=False
)
Used in the notebooks
Methods
View source
get_layout_transformer()
Returns the layout transforms for this scheme.
| Returns |
|---|
|
Returns the QuantizeLayoutTransform for this quantization scheme.
|
get_quantize_registry
View source
get_quantize_registry()
Returns the quantization registry for this scheme.
| Returns |
|---|
|
Returns the QuantizeRegistry for this quantization scheme.
|
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Last updated 2023-05-26 UTC.
[null,null,["Last updated 2023-05-26 UTC."],[],[],null,["# tfmot.quantization.keras.collab_opts.Default8BitPrunePreserveQuantizeScheme\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/model-optimization/blob/v0.7.5/tensorflow_model_optimization/python/core/quantization/keras/collab_opts/prune_preserve/default_8bit_prune_preserve_quantize_scheme.py#L23-L29) |\n\nDefault 8 bit Prune Preserve Quantization Scheme.\n\nInherits From: [`Default8BitQuantizeScheme`](../../../../tfmot/quantization/keras/default_8bit/Default8BitQuantizeScheme), [`QuantizeScheme`](../../../../tfmot/quantization/keras/QuantizeScheme)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tfmot.experimental.combine.Default8BitPrunePreserveQuantizeScheme`](https://www.tensorflow.org/model_optimization/api_docs/python/tfmot/quantization/keras/collab_opts/Default8BitPrunePreserveQuantizeScheme)\n\n\u003cbr /\u003e\n\n tfmot.quantization.keras.collab_opts.Default8BitPrunePreserveQuantizeScheme(\n disable_per_axis=False\n )\n\n### Used in the notebooks\n\n| Used in the guide |\n|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Pruning preserving quantization aware training (PQAT) Keras example](https://www.tensorflow.org/model_optimization/guide/combine/pqat_example) |\n\nMethods\n-------\n\n### `get_layout_transformer`\n\n[View source](https://github.com/tensorflow/model-optimization/blob/v0.7.5/tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_scheme.py#L28-L30) \n\n get_layout_transformer()\n\nReturns the layout transforms for this scheme.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| Returns the QuantizeLayoutTransform for this quantization scheme. ||\n\n\u003cbr /\u003e\n\n### `get_quantize_registry`\n\n[View source](https://github.com/tensorflow/model-optimization/blob/v0.7.5/tensorflow_model_optimization/python/core/quantization/keras/collab_opts/prune_preserve/default_8bit_prune_preserve_quantize_scheme.py#L27-L29) \n\n get_quantize_registry()\n\nReturns the quantization registry for this scheme.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| Returns the QuantizeRegistry for this quantization scheme. ||\n\n\u003cbr /\u003e"]]
View source on GitHub