docstr: This method calls the ArgProj block in distribution_output to project
  from a dense layer to kernel arguments.
  
  Parameters
  ----------
  float_type : Type
      Determines whether to use single or double precision.
  Returns
  -------
  ArgProj
docstr_tok: ["This","method","calls","the","ArgProj","block","in","distribution_output","to","project","from","a","dense","layer","to","kernel","arguments",".","Parameters","--","--","--","--","--","float_type",":","Type","Determines","whether","to","use","single","or","double","precision",".","Returns","--","--","--","-","ArgProj"]
code: def get_args_proj(self, float_type: Type = np.float32) -> ArgProj:
      """
      This method calls the ArgProj block in distribution_output to project
      from a dense layer to kernel arguments.
  
      Parameters
      ----------
      float_type : Type
          Determines whether to use single or double precision.
      Returns
      -------
      ArgProj
      """
      return ArgProj(
          args_dim=self.args_dim,
          domain_map=gluon.nn.HybridLambda(self.domain_map),
          dtype=float_type,
      )
  
file_path: gluonts/src/gluonts/mx/kernels/_kernel_output.py
imports: from typing import Dict, Type
  import numpy
  from mxnet import gluon
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.distribution.distribution_output import ArgProj
  from .None import Kernel
label_desc: Use image node_id 3 for calling the KernelOutputDict obj's underlying member method code with example usage: obj.get_args_proj(float_type) and returns: ArgProj