Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Parameters for the maximum 1D pooling layer. More...
Public Member Functions | |
| def | __init__ |
Public Member Functions inherited from Parameter | |
| def | __init__ |
Public Member Functions inherited from Parameter | |
| def | __init__ |
Public Member Functions inherited from Parameter | |
| def | __init__ |
| def | check |
Additional Inherited Members | |
Static Public Attributes inherited from Parameter | |
| stride = ... | |
| padding = ... | |
| kernelSize = ... | |
| index = ... | |
Static Public Attributes inherited from Parameter | |
| weightsInitializer = ... | |
| biasesInitializer = ... | |
| predictionStage = ... | |
| propagateGradient = ... | |
| weightsAndBiasesInitialized = ... | |
| allowInplaceComputation = ... | |
| def __init__ | ( | self, | |
| index, | |||
kernelSize = 2, |
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stride = 2, |
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padding = 0 |
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| ) |
Constructs the parameters of maximum 1D pooling layer
| index | Index of the dimension on which pooling is performed |
| kernelSize | Size of 1D subtensor for which the maximum element is selected |
| stride | Interval over the dimension on which the pooling is performed |
| padding | Number of data elements to implicitly add to the the dimension of the 1D subtensor on which the pooling is performed |
For more complete information about compiler optimizations, see our Optimization Notice.