reduced2d = MaskedReductionUtil.maskedPoolingTimeSeries(poolingType, input, maskArray, pNorm); } else if (input.rank() == 4) { reduced2d = MaskedReductionUtil.maskedPoolingConvolution(poolingType, input, maskArray, maskAlongHeight, pNorm); } else {
} else { if (input.rank() == 3) { epsilonNd = MaskedReductionUtil.maskedPoolingEpsilonTimeSeries(poolingType, input, maskArray, epsilon, pNorm); } else if (input.rank() == 4) { epsilonNd = MaskedReductionUtil.maskedPoolingEpsilonCnn(poolingType, input, maskArray, epsilon, maskAlongHeight, pNorm); } else {