This class implements a layer which performs max pooling on the set of sequences, with the filter applied on BatchLength axis.
void SetFilterLength(int length);Sets the filter length. If you set the length to 0 or less, the maximum over the whole axis will be calculated.
void SetStrideLength(int length);Sets the filter stride. This value is meaningful only if the filter length is greater than 0.
The layer has no trainable parameters.
The single input accepts a blob of the following dimensions:
BatchLength- the sequence lengthBatchWidth * ListSize- the number of sequences in the setHeight * Width * Depth * Channels- the length of each vector in the sequences
The single output contains a blob with the results.
If the filter length is positive, the BatchLength of the resulting blob may be calculated as
(BatchLength - GetFilterLength()) / GetStrideLength() + 1.
If the filter length is equal or less than 0, the BatchLength of the resulting blob is 1.
The rest of the dimensions of the output blob are equal to the corresponding dimensions of the input.