max_pool1d — PyTorch 2.7 documentation (original) (raw)

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class torch.ao.nn.quantized.functional.max_pool1d(input, kernel_size, stride=None, padding=0, dilation=1, ceil_mode=False, return_indices=False)[source][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.

• max_pool1d
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