Hi,
Is it possible to implement the following architecture in pytorch?

  
      github.com
  
  
    cmusatyalab/openface/blob/master/models/openface/nn4.def.lua 20
-- Model: nn4.def.lua
-- Description: Implementation of NN4 from the FaceNet paper.
-- Input size: 3x96x96
-- Number of Parameters from net:getParameters() with embSize=128: 6959088
-- Components: Mostly `nn`
-- Devices: CPU and CUDA
--
-- Brandon Amos <http://bamos.github.io>
-- 2015-09-18
--
-- Copyright 2015-2016 Carnegie Mellon University
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
--     http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,


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I couldn’t find SpatialConvolutionMM,SpatialCrossMapLRN and nn.Normalize
Thanks