C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Parameters for the forward and backward two-dimensional pooling layers. More...
DAAL_DEPRECATED Parameter | ( | size_t | firstIndex, |
size_t | secondIndex, | ||
size_t | firstKernelSize = 2 , |
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size_t | secondKernelSize = 2 , |
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size_t | firstStride = 2 , |
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size_t | secondStride = 2 , |
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size_t | firstPadding = 0 , |
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size_t | secondPadding = 0 |
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) |
Constructs the parameters of 2D pooling layer
[in] | firstIndex | Index of the first of two dimensions on which the pooling is performed |
[in] | secondIndex | Index of the second of two dimensions on which the pooling is performed |
[in] | firstKernelSize | Size of the first dimension of 2D subtensor for which the element is computed |
[in] | secondKernelSize | Size of the second dimension of 2D subtensor for which the element is computed |
[in] | firstStride | Interval over the first dimension on which the pooling is performed |
[in] | secondStride | Interval over the second dimension on which the pooling is performed |
[in] | firstPadding | Number of data elements to implicitly add to the the first dimension of the 2D subtensor on which the pooling is performed |
[in] | secondPadding | Number of data elements to implicitly add to the the second dimension of the 2D subtensor on which the pooling is performed |
KernelSizes kernelSizes |
Data structure representing the size of the 2D subtensor from which the element is computed
Paddings paddings |
Data structure representing the number of data elements to implicitly add to each size of the 2D subtensor on which pooling is performed
Strides strides |
Data structure representing the intervals on which the subtensors for pooling are computed
For more complete information about compiler optimizations, see our Optimization Notice.