class_docstr: Class implementing Normalizer operators in PyTorch. Supported normalizers are L1, L2 and Max.
code: def forward(self, x):
      if self.norm == "l1":
          return x / torch.abs(x).sum(1, keepdim=True)
      elif self.norm == "l2":
          return x / torch.pow(
              torch.pow(x, 2).sum(1, keepdim=True), 0.5
          )
      elif self.norm == "max":
          return x / torch.max(torch.abs(x), dim=1, keepdim=True)[0]
      else:
          raise RuntimeError("Unsupported norm: {0}".format(self.norm))
  
imports: import torch
  from ._physical_operator import PhysicalOperator
label_desc: Use image node_id 2 for calling the Normalizer obj's underlying member method code with example usage: obj.forward(x) and returns: unknown, unknown, unknown