max_pool1d# class torch.ao.nn.quantized.functional.max_pool1d(input, kernel_size, stride=None, padding=0, dilation=1, ceil_mode=False, return_indices=False)[source]# Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. Note The input quantization parameters are propagated to the output. See MaxPool1d for details.