class_docstr: feed-forward module of Conformer model.
class_docstr_tok: ["feed-forward","module","of","Conformer","model","."]
code: def forward(self, x):
      x = self.linear1(x)
      x = self.activation(x)
      x = self.dropout(x)
      x = self.linear2(x)
      return x
  
imports: import torch
  from torch import nn
  from torch.nn import LayerNorm
  from nemo.collections.asr.parts.submodules.batchnorm import FusedBatchNorm1d
  from nemo.collections.asr.parts.submodules.causal_convs import CausalConv1D
  from nemo.collections.asr.parts.submodules.multi_head_attention import MultiHeadAttention, RelPositionMultiHeadAttention, RelPositionMultiHeadAttentionLongformer
  from nemo.collections.asr.parts.utils.activations import Swish
  from nemo.collections.common.parts import adapter_modules
  from nemo.collections.common.parts.utils import activation_registry
  from nemo.core.classes.mixins import AccessMixin
  from nemo.core.classes.mixins.adapter_mixins import AdapterModuleMixin
label_desc: Use image node_id 2 for calling the ConformerFeedForward obj's underlying member method code with example usage: obj.forward(x) and returns: x