Function IsGroupedConvolution

delegate/common/src/DelegateUtils.hpp:333–340

Grouped convolution applies a separate filter over each input channel To check for a grouped convolution we can use the following calculation: numGroups = input[channels] / filter[in_channels] This gives us the number of groups to divide the input channel into. An assumption is made here that numGroups > 1 implies a grouped convolution We do not support grouped convolution, therefore we will retur

// An assumption is made here that numGroups > 1 implies a grouped convolution
// We do not support grouped convolution, therefore we will return unsupported if numGroups > 1
bool IsGroupedConvolution(armnn::TensorShape inputShape,
                          armnn::TensorShape filterShape,
                          const armnn::DataLayout dataLayout)
{
    const armnnUtils::DataLayoutIndexed dataLayoutIndexed(dataLayout);
    const unsigned int channelsIndex = dataLayoutIndexed.GetChannelsIndex();
    return inputShape[channelsIndex] / filterShape[channelsIndex] > 1;
}

// Function that takes a TensorInfo Parameter and returns the same TensorInfo with data type FLoat32.
armnn::TensorInfo ConvertTensorInfoToFloat32(const armnn::TensorInfo& tensorInfo)