class_docstr: A dense layer that outputs non-decreasing values.
  
  Parameters
  ----------
  num_outputs
      number of outputs of the layer.
class_docstr_tok: ["A","dense","layer","that","outputs","non-decreasing","values",".","Parameters","--","--","--","--","--","num_outputs","number","of","outputs","of","the","layer","."]
code: def hybrid_forward(self, F, x: Tensor) -> Tensor:
      return (
          self.proj_intrcpt(x)
          if self.num_outputs == 1
          else (
              F.cumsum(
                  F.concat(
                      self.proj_intrcpt(x), self.proj_incrmnt(x), dim=-1
                  ),
                  axis=3,
              )
          )
      )
  
imports: from typing import List, Optional
  from mxnet.gluon import nn
  from mxnet.gluon.loss import Loss
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
label_desc: Use image node_id 2 for calling the IncrementalDenseLayerProjection obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: unknown