class_docstr: Basic residual convolutional block that uses GroupNorm.
class_docstr_tok: ["Basic","residual","convolutional","block","that","uses","GroupNorm","."]
code: def forward(self, x):
      return F.relu(self.net(x) + x)
  
imports: import functools
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config, GPT2PreTrainedModel, LogitsProcessorList
  from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, TypicalLogitsWarper
label_desc: Use image node_id 2 for calling the ResBlock obj's underlying member method code with example usage: obj.forward(x) and returns: F