/// <summary>
/// Applies a 3D adaptive average pooling over an input signal composed of several input planes.
/// The output is of size H x W, for any input size.The number of output features is equal to the number of input planes.
/// </summary>
/// <param name="x">The input signal tensor.</param>
/// <param name="outputSize">The target output size of the image of the form H x W.</param>
/// <returns></returns>
static public TorchTensor AdaptiveAvgPool3d(TorchTensor x, long[] outputSize)
{
using (var d = Modules.AdaptiveAvgPool3d(outputSize)) {
return(d.forward(x));
}
}
