class_docstr: Basic transformation: Tx3x3, 1x3x3, where T is the size of temporal kernel.
class_docstr_tok: ["Basic","transformation",":","Tx3x3",",","1x3x3",",","where","T","is","the","size","of","temporal","kernel","."]
code: def forward(self, x):
      x = self.a(x)
      x = self.a_bn(x)
      x = self.a_relu(x)
  
      x = self.b(x)
      x = self.b_bn(x)
      return x
  
imports: import torch
  import torch.nn
  from slowfast.models.common import drop_path
  from slowfast.models.nonlocal_helper import Nonlocal
  from slowfast.models.operators import SE, Swish
label_desc: Use image node_id 3 for calling the BasicTransform obj's underlying member method code with example usage: obj.forward(x) and returns: x