tfmot.experimental.combine.Default8BitClusterPreserveQuantizeScheme
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Default 8 bit Cluster Preserve Quantization Scheme.
Inherits From: Default8BitQuantizeScheme, QuantizeScheme
tfmot.experimental.combine.Default8BitClusterPreserveQuantizeScheme(
preserve_sparsity=True
)
Used in the notebooks
Args |
|---|
preserve_sparsity
|
the flag to enable prune-cluster-preserving QAT.
|
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.experimental.combine.Default8BitClusterPreserveQuantizeScheme\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/cluster_preserve/default_8bit_cluster_preserve_quantize_scheme.py#L23-L37) |\n\nDefault 8 bit Cluster Preserve Quantization Scheme.\n\nInherits From: [`Default8BitQuantizeScheme`](../../../tfmot/quantization/keras/default_8bit/Default8BitQuantizeScheme), [`QuantizeScheme`](../../../tfmot/quantization/keras/QuantizeScheme) \n\n tfmot.experimental.combine.Default8BitClusterPreserveQuantizeScheme(\n preserve_sparsity=True\n )\n\n### Used in the notebooks\n\n| Used in the guide |\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Cluster preserving quantization aware training (CQAT) Keras example](https://www.tensorflow.org/model_optimization/guide/combine/cqat_example) - [Sparsity and cluster preserving quantization aware training (PCQAT) Keras example](https://www.tensorflow.org/model_optimization/guide/combine/pcqat_example) |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------|--------------------------------------------------|\n| `preserve_sparsity` | the flag to enable prune-cluster-preserving QAT. |\n\n\u003cbr /\u003e\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/cluster_preserve/default_8bit_cluster_preserve_quantize_scheme.py#L35-L37) \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