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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Positionwise feed forward layer definition."""
import torch
from funasr_detach.models.transformer.layer_norm import LayerNorm
class PositionwiseFeedForwardDecoderSANM(torch.nn.Module):
"""Positionwise feed forward layer.
Args:
idim (int): Input dimenstion.
hidden_units (int): The number of hidden units.
dropout_rate (float): Dropout rate.
"""
def __init__(
self, idim, hidden_units, dropout_rate, adim=None, activation=torch.nn.ReLU()
):
"""Construct an PositionwiseFeedForward object."""
super(PositionwiseFeedForwardDecoderSANM, self).__init__()
self.w_1 = torch.nn.Linear(idim, hidden_units)
self.w_2 = torch.nn.Linear(
hidden_units, idim if adim is None else adim, bias=False
)
self.dropout = torch.nn.Dropout(dropout_rate)
self.activation = activation
self.norm = LayerNorm(hidden_units)
def forward(self, x):
"""Forward function."""
return self.w_2(self.norm(self.dropout(self.activation(self.w_1(x)))))
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