Class OCNNParamInitializer
- java.lang.Object
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- org.deeplearning4j.nn.params.DefaultParamInitializer
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- org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
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- All Implemented Interfaces:
ParamInitializer
public class OCNNParamInitializer extends DefaultParamInitializer
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Constructor Summary
Constructors Constructor Description OCNNParamInitializer()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description List<String>biasKeys(Layer layer)Bias parameter keys given the layer configurationprotected INDArraycreateWeightMatrix(NeuralNetConfiguration configuration, INDArray weightParamView, boolean initializeParameters)Map<String,INDArray>getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.static OCNNParamInitializergetInstance()Map<String,INDArray>init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)Initialize the parametersbooleanisBiasParam(Layer layer, String key)Is the specified parameter a bias?booleanisWeightParam(Layer layer, String key)Is the specified parameter a weight?longnumParams(Layer layer)longnumParams(NeuralNetConfiguration conf)List<String>paramKeys(Layer layer)Get a list of all parameter keys given the layer configurationList<String>weightKeys(Layer layer)Weight parameter keys given the layer configuration-
Methods inherited from class org.deeplearning4j.nn.params.DefaultParamInitializer
createBias, createBias, createGain, createGain, createWeightMatrix, hasBias, hasLayerNorm
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Field Detail
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NU_KEY
public static final String NU_KEY
- See Also:
- Constant Field Values
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K_KEY
public static final String K_KEY
- See Also:
- Constant Field Values
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V_KEY
public static final String V_KEY
- See Also:
- Constant Field Values
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W_KEY
public static final String W_KEY
- See Also:
- Constant Field Values
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R_KEY
public static final String R_KEY
- See Also:
- Constant Field Values
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Method Detail
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getInstance
public static OCNNParamInitializer getInstance()
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numParams
public long numParams(NeuralNetConfiguration conf)
- Specified by:
numParamsin interfaceParamInitializer- Overrides:
numParamsin classDefaultParamInitializer
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numParams
public long numParams(Layer layer)
- Specified by:
numParamsin interfaceParamInitializer- Overrides:
numParamsin classDefaultParamInitializer
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paramKeys
public List<String> paramKeys(Layer layer)
Description copied from interface:ParamInitializerGet a list of all parameter keys given the layer configuration- Specified by:
paramKeysin interfaceParamInitializer- Overrides:
paramKeysin classDefaultParamInitializer- Parameters:
layer- Layer- Returns:
- All parameter keys
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weightKeys
public List<String> weightKeys(Layer layer)
Description copied from interface:ParamInitializerWeight parameter keys given the layer configuration- Specified by:
weightKeysin interfaceParamInitializer- Overrides:
weightKeysin classDefaultParamInitializer- Parameters:
layer- Layer- Returns:
- Weight parameter keys
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biasKeys
public List<String> biasKeys(Layer layer)
Description copied from interface:ParamInitializerBias parameter keys given the layer configuration- Specified by:
biasKeysin interfaceParamInitializer- Overrides:
biasKeysin classDefaultParamInitializer- Parameters:
layer- Layer- Returns:
- Bias parameter keys
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isWeightParam
public boolean isWeightParam(Layer layer, String key)
Description copied from interface:ParamInitializerIs the specified parameter a weight?- Specified by:
isWeightParamin interfaceParamInitializer- Overrides:
isWeightParamin classDefaultParamInitializer- Parameters:
layer- Layerkey- Key to check- Returns:
- True if parameter is a weight
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isBiasParam
public boolean isBiasParam(Layer layer, String key)
Description copied from interface:ParamInitializerIs the specified parameter a bias?- Specified by:
isBiasParamin interfaceParamInitializer- Overrides:
isBiasParamin classDefaultParamInitializer- Parameters:
layer- Layerkey- Key to check- Returns:
- True if parameter is a bias
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init
public Map<String,INDArray> init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams)
Description copied from interface:ParamInitializerInitialize the parameters- Specified by:
initin interfaceParamInitializer- Overrides:
initin classDefaultParamInitializer- Parameters:
conf- the configurationparamsView- a view of the full network (backprop) parametersinitializeParams- if true: initialize the parameters according to the configuration. If false: don't modify the values in the paramsView array (but do select out the appropriate subset, reshape etc as required)- Returns:
- Map of parameters keyed by type (view of the 'paramsView' array)
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getGradientsFromFlattened
public Map<String,INDArray> getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView)
Description copied from interface:ParamInitializerReturn a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array. The idea is that operates in exactly the same way as the paramsView does in#init(Map, NeuralNetConfiguration, INDArray); thus the position in the view (and, the array orders) must match those of the parameters- Specified by:
getGradientsFromFlattenedin interfaceParamInitializer- Overrides:
getGradientsFromFlattenedin classDefaultParamInitializer- Parameters:
conf- ConfigurationgradientView- The flattened gradients array, as a view of the larger array- Returns:
- A map containing an array by parameter type, that is a view of the full network gradients array
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createWeightMatrix
protected INDArray createWeightMatrix(NeuralNetConfiguration configuration, INDArray weightParamView, boolean initializeParameters)
- Overrides:
createWeightMatrixin classDefaultParamInitializer
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