public class CudnnSubsamplingHelper extends BaseCudnnHelper implements org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
BaseCudnnHelper.CudnnContext, BaseCudnnHelper.DataCache, BaseCudnnHelper.TensorArrayalpha, beta, dataType, dataTypeSize, sizeInBytes, tensorFormat| Constructor and Description |
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CudnnSubsamplingHelper() |
| Modifier and Type | Method and Description |
|---|---|
org.nd4j.linalg.api.ndarray.INDArray |
activate(org.nd4j.linalg.api.ndarray.INDArray input,
boolean training,
int[] kernel,
int[] strides,
int[] pad,
org.deeplearning4j.nn.conf.layers.PoolingType poolingType,
org.deeplearning4j.nn.conf.ConvolutionMode convolutionMode) |
org.deeplearning4j.berkeley.Pair<org.deeplearning4j.nn.gradient.Gradient,org.nd4j.linalg.api.ndarray.INDArray> |
backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input,
org.nd4j.linalg.api.ndarray.INDArray epsilon,
int[] kernel,
int[] strides,
int[] pad,
org.deeplearning4j.nn.conf.layers.PoolingType poolingType,
org.deeplearning4j.nn.conf.ConvolutionMode convolutionMode) |
checkCuda, checkCudnn, checkSupportedpublic org.deeplearning4j.berkeley.Pair<org.deeplearning4j.nn.gradient.Gradient,org.nd4j.linalg.api.ndarray.INDArray> backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input,
org.nd4j.linalg.api.ndarray.INDArray epsilon,
int[] kernel,
int[] strides,
int[] pad,
org.deeplearning4j.nn.conf.layers.PoolingType poolingType,
org.deeplearning4j.nn.conf.ConvolutionMode convolutionMode)
backpropGradient in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelperpublic org.nd4j.linalg.api.ndarray.INDArray activate(org.nd4j.linalg.api.ndarray.INDArray input,
boolean training,
int[] kernel,
int[] strides,
int[] pad,
org.deeplearning4j.nn.conf.layers.PoolingType poolingType,
org.deeplearning4j.nn.conf.ConvolutionMode convolutionMode)
activate in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelperCopyright © 2017. All rights reserved.