/// <summary>
/// Applies a 1D adaptive max pooling over an input signal composed of several input planes.
/// The output size is H, for any input size.The number of output features is equal to the number of input planes.
/// </summary>
/// <param name="x"></param>
/// <param name="outputSize">The target output size H.</param>
/// <returns></returns>
static public TorchTensor AdaptiveMaxPool1d(TorchTensor x, long[] outputSize)
{
using (var d = Modules.AdaptiveMaxPool1d(outputSize)) {
return(d.forward(x));
}
}