/// <summary>
/// Applies a 2D 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 (H,W) of the image of the form H x W.</param>
/// <returns></returns>
static public TorchTensor AdaptiveAvgPool2d (TorchTensor x, long[] outputSize)
{
using (var d = Modules.AdaptiveAvgPool2d (outputSize)) {
return d.forward (x);
}
}
