Class InputType.InputTypeConvolutionalFlat
- java.lang.Object
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- org.deeplearning4j.nn.conf.inputs.InputType
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- org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
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- All Implemented Interfaces:
Serializable
- Enclosing class:
- InputType
public static class InputType.InputTypeConvolutionalFlat extends InputType
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.inputs.InputType
InputType.InputTypeConvolutional, InputType.InputTypeConvolutional3D, InputType.InputTypeConvolutionalFlat, InputType.InputTypeFeedForward, InputType.InputTypeRecurrent, InputType.Type
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Constructor Summary
Constructors Constructor Description InputTypeConvolutionalFlat(long height, long width, long depth)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description long
arrayElementsPerExample()
long
getFlattenedSize()
long[]
getShape(boolean includeBatchDim)
Returns the shape of this InputTypeInputType.Type
getType()
InputType
getUnflattenedType()
String
toString()
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Methods inherited from class org.deeplearning4j.nn.conf.inputs.InputType
convolutional, convolutional, convolutional3D, convolutional3D, convolutionalFlat, feedForward, feedForward, getDefaultCNN2DFormat, getShape, inferInputType, inferInputTypes, recurrent, recurrent, recurrent, recurrent, setDefaultCNN2DFormat
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Method Detail
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getType
public InputType.Type getType()
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getFlattenedSize
public long getFlattenedSize()
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getUnflattenedType
public InputType getUnflattenedType()
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arrayElementsPerExample
public long arrayElementsPerExample()
- Specified by:
arrayElementsPerExample
in classInputType
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