torch.nn.functional.lp_pool1d# torch.nn.functional.lp_pool1d(input, norm_type, kernel_size, stride=None, ceil_mode=False)[source]# Apply a 1D power-average pooling over an input signal composed of several input planes. If the sum of all inputs to the power of p is zero, the gradient is set to zero as well. When ceil_mode is True, sliding windows may go off-bounds if they start within the left padding or the input. Sliding windows that would start in the right padded region are ignored. See LPPool1d for details. Return type: Tensor
