o i*@sDddlZddlmZddlmZeddGdddejjZdS)N)tables)get_activationjoint_network_classes joint_networkc sdeZdZdZ  ddededededed d f fd d Z ddejdejde d ejfddZ Z S) JointNetworka]Transducer joint network module. Args: output_size: Output size. encoder_size: Encoder output size. decoder_size: Decoder output size.. joint_space_size: Joint space size. joint_act_type: Type of activation for joint network. **activation_parameters: Parameters for the activation function. tanh output_size encoder_size decoder_sizejoint_space_sizejoint_activation_typereturnNcsLttj|||_tjj||dd|_tj|||_t||_ dS)z Construct a JointNetwork object.F)biasN) super__init__torchnnLinearlin_enclin_declin_outrjoint_activation)selfr r r r r  __class__Z/home/ubuntu/.local/lib/python3.10/site-packages/funasr/models/transducer/joint_network.pyrs zJointNetwork.__init__Tenc_outdec_out project_inputcCs8|r|||||}n|||}||S)aMJoint computation of encoder and decoder hidden state sequences. Args: enc_out: Expanded encoder output state sequences (B, T, 1, D_enc) dec_out: Expanded decoder output state sequences (B, 1, U, D_dec) Returns: joint_out: Joint output state sequences. (B, T, U, D_out) )rrrr)rrrr joint_outrrrforward,s zJointNetwork.forward)rr)T) __name__ __module__ __qualname____doc__intstrrrTensorboolr" __classcell__rrrrr s6r) rfunasr.registerr*funasr.models.transformer.utils.nets_utilsrregisterrModulerrrrrs