o i @s:dZddlZddlmZddlmZGdddejZdS)z(Sliding Window for raw audio input data.N)Tuplec sreZdZdZ     ddededed effd d Zd ejd ejdeejejffddZ defddZ Z S) SlidingWindowaSliding Window. Provides a sliding window over a batched continuous raw audio tensor. Optionally, provides padding (Currently not implemented). Combine this module with a pre-encoder compatible with raw audio data, for example Sinc convolutions. Known issues: Output length is calculated incorrectly if audio shorter than win_length. WARNING: trailing values are discarded - padding not implemented yet. There is currently no additional window function applied to input values. N win_length hop_lengthchannelspaddingcs,t||_||_||_||_||_dS)aKInitialize. Args: win_length: Length of frame. hop_length: Relative starting point of next frame. channels: Number of input channels. padding: Padding (placeholder, currently not implemented). fs: Sampling rate (placeholder for compatibility, not used). N)super__init__fsrrr r )selfrrr r r  __class__N/home/ubuntu/.local/lib/python3.10/site-packages/funasr/frontends/windowing.pyr s  zSlidingWindow.__init__input input_lengthsreturnc Cs||}|d}|d}|j}|j}||||ddd}|d||j} | dddd} ||j|jd} | | fS)a@Apply a sliding window on the input. Args: input: Input (B, T, C*D) or (B, T*C*D), with D=C=1. input_lengths: Input lengths within batch. Returns: Tensor: Output with dimensions (B, T, C, D), with D=win_length. Tensor: Output lengths within batch. rr)sizer rviewpermuteunfoldr contiguous) rrr input_sizeBTCD continuouswindowedoutputoutput_lengthsrrrforward/s zSlidingWindow.forwardcCs|jS)zDReturn output length of feature dimension D, i.e. the window length.)r)rrrr output_sizeHszSlidingWindow.output_size)rrrNN) __name__ __module__ __qualname____doc__intr torchTensorrr&r' __classcell__rrrrr s0  r)r+r-torch.nnnntypingrModulerrrrrs