class_docstr: A fully connected layer that reshapes outputs to feature maps.
class_docstr_tok: ["A","fully","connected","layer","that","reshapes","outputs","to","feature","maps","."]
code: def __init__(self, input_dim, output_dim, complex_valued=False):
      super().__init__()
      self.complex_valued = complex_valued
      self.dense = ComplexLinear(
          input_dim, output_dim, complex_valued=complex_valued
      )
  
imports: import functools
  from functools import partial
  import numpy
  import torch
  from torch import Tensor, nn
  from torch.nn.modules.batchnorm import _BatchNorm
label_desc: Use image node_id 1 to create a new FeatureMapDense object from inherited base classes: nn with example: obj = FeatureMapDense(input_dim, output_dim, complex_valued)