tfmot.quantization.keras.graph_transformations.transforms.LayerNode
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Represents a Node in a tree containing a layer.
tfmot.quantization.keras.graph_transformations.transforms.LayerNode(
layer,
weights=None,
input_layers=None,
metadata=None,
names_and_weights=None
)
LayerNode is used to represent a tree of layers in a model. It contains
config which describes the layer, and other input layers feeding into it.
It is used as a generic class to represent both sets of layers which have
been found in a model, and layers which should be replaced inside the model.
Args |
|---|
layer
|
layer config of this node.
|
weights
|
An OrderedDict of weight name => value for the layer.
|
input_layers
|
List of LayerNodes that feed into this layer.
|
metadata
|
Dictionary of metadata for a given layer.
|
names_and_weights
|
A list of tuples (name, weight). It only used when
weights dictionary is empty.
|
Methods
__eq__
View source
__eq__(
other
)
Return self==value.
__ne__
View source
__ne__(
other
)
Ensure this works on Python2.
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Last updated 2023-05-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-26 UTC."],[],[],null,["# tfmot.quantization.keras.graph_transformations.transforms.LayerNode\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/graph_transformations/transforms.py#L72-L152) |\n\nRepresents a Node in a tree containing a layer. \n\n tfmot.quantization.keras.graph_transformations.transforms.LayerNode(\n layer,\n weights=None,\n input_layers=None,\n metadata=None,\n names_and_weights=None\n )\n\n`LayerNode` is used to represent a tree of layers in a model. It contains\nconfig which describes the layer, and other input layers feeding into it.\n\nIt is used as a generic class to represent both sets of layers which have\nbeen found in a model, and layers which should be replaced inside the model.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------|---------------------------------------------------------------------------------|\n| `layer` | layer config of this node. |\n| `weights` | An OrderedDict of weight name =\\\u003e value for the layer. |\n| `input_layers` | List of `LayerNode`s that feed into this layer. |\n| `metadata` | Dictionary of metadata for a given layer. |\n| `names_and_weights` | A list of tuples (name, weight). It only used when weights dictionary is empty. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `__eq__`\n\n[View source](https://github.com/tensorflow/model-optimization/blob/v0.7.5/tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/transforms.py#L131-L148) \n\n __eq__(\n other\n )\n\nReturn self==value.\n\n### `__ne__`\n\n[View source](https://github.com/tensorflow/model-optimization/blob/v0.7.5/tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/transforms.py#L150-L152) \n\n __ne__(\n other\n )\n\nEnsure this works on Python2."]]
View source on GitHub