What is the difference between 1x1 con and avergaepool1d?

vision
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what is the difference between 1x1 conv and avergaepool1d ?

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A 1x1 conv layer will use a kernel size of 1x1 (i.e. a single pixel) and would act as a linear layer in the default setup. The nn.AdaptiveAvgPool1d layer works on 3D inputs in the shape [batch_size, channels, seq_len] and returns a desired output shape in the temporal dimension by applying an adaptive windowing approach to calculate the average of the input values.

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