Loading legacy lua models fails in pytorch showing Spatial Convolution Layers has no bias











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So I wanted to port this repositories DGAN code written in torch-lua to pytorch but for that I have to convert the model weights too since I don't have the computing power to train the model and want the exact same image generators. I tried using the load_lua function in pytorch but it doesn't work.
Exact error on pytorch's Github issue



I also tried using several model converters from GitHub but they too throw the same error.



Note: I'm using the CPU weights from the repo for model conversion



Can anyone suggest a way for me to convert these pretrained models so that I can load them in pytorch or suggest something else?






python lua deep-learning pytorch






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    So I wanted to port this repositories DGAN code written in torch-lua to pytorch but for that I have to convert the model weights too since I don't have the computing power to train the model and want the exact same image generators. I tried using the load_lua function in pytorch but it doesn't work.
    Exact error on pytorch's Github issue



    I also tried using several model converters from GitHub but they too throw the same error.



    Note: I'm using the CPU weights from the repo for model conversion



    Can anyone suggest a way for me to convert these pretrained models so that I can load them in pytorch or suggest something else?






    python lua deep-learning pytorch






    share
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      So I wanted to port this repositories DGAN code written in torch-lua to pytorch but for that I have to convert the model weights too since I don't have the computing power to train the model and want the exact same image generators. I tried using the load_lua function in pytorch but it doesn't work.
      Exact error on pytorch's Github issue



      I also tried using several model converters from GitHub but they too throw the same error.



      Note: I'm using the CPU weights from the repo for model conversion



      Can anyone suggest a way for me to convert these pretrained models so that I can load them in pytorch or suggest something else?






      python lua deep-learning pytorch






      share













      So I wanted to port this repositories DGAN code written in torch-lua to pytorch but for that I have to convert the model weights too since I don't have the computing power to train the model and want the exact same image generators. I tried using the load_lua function in pytorch but it doesn't work.
      Exact error on pytorch's Github issue



      I also tried using several model converters from GitHub but they too throw the same error.



      Note: I'm using the CPU weights from the repo for model conversion



      Can anyone suggest a way for me to convert these pretrained models so that I can load them in pytorch or suggest something else?






      python lua deep-learning pytorch




      python lua deep-learning pytorch





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