o Si"/@sdZddlZddlZddlmZddlmZm Z m Z Gdddej Z Gdddej Z Gd d d ej Zd d Zed krBedSdS)z8Encodec SEANet-based encoder and decoder implementation.N)SConv1dSConvTranspose1dSLSTMcseZdZdZddgddgdddididd d d f d ed ejedejededededej eej fde dedede ffdd Z ddZ ZS)SEANetResnetBlockaHResidual block from SEANet model. Args: dim (int): Dimension of the input/output kernel_sizes (list): List of kernel sizes for the convolutions. dilations (list): List of dilations for the convolutions. activation (str): Activation function. activation_params (dict): Parameters to provide to the activation function norm (str): Normalization method. norm_params (dict): Parameters to provide to the underlying normalization used along with the convolution. causal (bool): Whether to use fully causal convolution. pad_mode (str): Padding mode for the convolutions. compress (int): Reduced dimensionality in residual branches (from Demucs v3) true_skip (bool): Whether to use true skip connection or a simple convolution as the skip connection. rELUalpha? weight_normFreflectTdim kernel_sizes dilations activationactivation_paramsnorm norm_paramscausalpad_modecompress true_skipc  stt|t|ksJdtt|} || } g}tt||D]/\}\}}|dkr/|n| }|t|dkr;|n| }|| di|t|||||||| dg7}q#tj||_ || rdt |_ dSt||d|||| d|_ dS)Nz7Number of kernel sizes should match number of dilationsrr) kernel_sizedilationr norm_kwargsrr)rrrrr) super__init__lengetattrnn enumeratezipr SequentialblockIdentityshortcut)selfrrrrrrrrrrracthiddenr%irrin_chsout_chs __class__rJ/home/ubuntu/.local/lib/python3.10/site-packages/encodec/modules/seanet.pyr$s,       zSEANetResnetBlock.__init__cCs||||SN)r'r%r(xrrr0forward>szSEANetResnetBlock.forward__name__ __module__ __qualname____doc__inttpListstrdictDictAnyboolrr4 __classcell__rrr.r0rs0 rc%seZdZdZddddgddddid id d d d d dd d d fdededededejededededej eej fdedededede dede ded ef$fd!d" Z d#d$Z ZS)% SEANetEncoderaSEANet encoder. Args: channels (int): Audio channels. dimension (int): Intermediate representation dimension. n_filters (int): Base width for the model. n_residual_layers (int): nb of residual layers. ratios (Sequence[int]): kernel size and stride ratios. The encoder uses downsampling ratios instead of upsampling ratios, hence it will use the ratios in the reverse order to the ones specified here that must match the decoder order activation (str): Activation function. activation_params (dict): Parameters to provide to the activation function norm (str): Normalization method. norm_params (dict): Parameters to provide to the underlying normalization used along with the convolution. kernel_size (int): Kernel size for the initial convolution. last_kernel_size (int): Kernel size for the initial convolution. residual_kernel_size (int): Kernel size for the residual layers. dilation_base (int): How much to increase the dilation with each layer. causal (bool): Whether to use fully causal convolution. pad_mode (str): Padding mode for the convolutions. true_skip (bool): Whether to use true skip connection or a simple (streamable) convolution as the skip connection in the residual network blocks. compress (int): Reduced dimensionality in residual branches (from Demucs v3). lstm (int): Number of LSTM layers at the end of the encoder. r r rr r r rr Fr channels dimension n_filtersn_residual_layersratiosrrrrrlast_kernel_sizeresidual_kernel_size dilation_baserrrrlstmcsXt||_||_||_tt||_~||_t |j|_ t t |}d}t|||| || ||dg}t|jD]F\}}t|D]}|t||| dg| |dg|| ||||||d g7}qB||di|t||||d|d||| ||dg7}|d9}q:|r|t|||dg7}||di|t|||| || ||dg7}t j||_dS)Nrrrrr) rrrrrrrrrrr )rstriderrrr num_layersr)rrrKrLrMlistreversedrOrNnpprod hop_lengthr r!rr"rangerrr$model)r(rKrLrMrNrOrrrrrrPrQrRrrrrrSr)multr^r+ratiojr.rr0r[sT       zSEANetEncoder.__init__cCs ||Sr1r^r2rrr0r4s zSEANetEncoder.forwardr5rrr.r0rCBsJ4rCc+seZdZdZddddgddddid d d id d d d dddd d dfdededededejedededej edej ededej eej fdedededede d ed!e d"ed#ed$e f*fd%d& Zd'd(ZZS)) SEANetDecoderaSEANet decoder. Args: channels (int): Audio channels. dimension (int): Intermediate representation dimension. n_filters (int): Base width for the model. n_residual_layers (int): nb of residual layers. ratios (Sequence[int]): kernel size and stride ratios activation (str): Activation function. activation_params (dict): Parameters to provide to the activation function final_activation (str): Final activation function after all convolutions. final_activation_params (dict): Parameters to provide to the activation function norm (str): Normalization method. norm_params (dict): Parameters to provide to the underlying normalization used along with the convolution. kernel_size (int): Kernel size for the initial convolution. last_kernel_size (int): Kernel size for the initial convolution. residual_kernel_size (int): Kernel size for the residual layers. dilation_base (int): How much to increase the dilation with each layer. causal (bool): Whether to use fully causal convolution. pad_mode (str): Padding mode for the convolutions. true_skip (bool): Whether to use true skip connection or a simple (streamable) convolution as the skip connection in the residual network blocks. compress (int): Reduced dimensionality in residual branches (from Demucs v3). lstm (int): Number of LSTM layers at the end of the encoder. trim_right_ratio (float): Ratio for trimming at the right of the transposed convolution under the causal setup. If equal to 1.0, it means that all the trimming is done at the right. rrDrErFrr r Nr rJrr Fr rKrLrMrNrOrrfinal_activationfinal_activation_paramsrrrrPrQrRrrrrrStrim_right_ratiocst||_||_||_||_~||_t|j|_ t t |}t dt |j}t|||| | | ||dg}|rE|t|||dg7}t|jD]H\}}||di|t||||d|d|| | ||dg7}t|D]}|t||d|dg||dg||| | ||||d g7}qo|d}qJ||di|t||| | | ||dg7}|durt t |}| pi} ||di| g7}t j||_dS)Nr rTrV)rrUrrrrfr) rrrrrrrrrrr)rrrLrKrMrOrNrZr[r\r r!r:rrrr"rr]rr$r^)r(rKrLrMrNrOrrrdrerrrrPrQrRrrrrrSrfr)r_r^r+r`ra final_actr.rr0rs`          zSEANetDecoder.__init__cCs||}|Sr1rb)r(zyrrr0r4s zSEANetDecoder.forward)r6r7r8r9r:r;r<r=r>Optionalr?r@rAfloatrr4rBrrr.r0rcsZ>rccCsnddl}t}t}|ddd}||}t|jgdks#J|j||}|j|jks5J|j|jfdS)Nrri])rrDK)torchrCrcrandnrXshape)rmencoderdecoderr3rhrirrr0tests rr__main__)r9typingr;numpyrZtorch.nnr!rrrModulerrCrcrrr6rrrr0s -Q^