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Why does the permute layer fail with in-place operation?



The 2019 Stack Overflow Developer Survey Results Are InHow to reshape a blob in Caffe?Building custom Caffe layer in pythoncaffe: how to access the data in BLOB using gdb?When to use in-place layers in Caffe?caffe: 5D blobs pooling?How can I merge multiple blobs with different shapes in Caffe?How many bottoms/tops a layer can have in caffe structureNetwork does not converge after creating a simple identity layer in pycaffeReverse blob order by any axis in caffeCaffe to Keras conversion of grouped convolution



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0















I tried to use Permute layer with intel caffe, the codes with in-place operation failed with wrong top blob shape:



layer 
name: "conv4_3_norm_mbox_conf_perm"
type: "Permute"
bottom: "per_blob"
top: "per_blob"
permute_param
order: 0
order: 2
order: 3
order: 1




which succeeded with different bottom, top name.



Why does the in-place operation fail?










share|improve this question




























    0















    I tried to use Permute layer with intel caffe, the codes with in-place operation failed with wrong top blob shape:



    layer 
    name: "conv4_3_norm_mbox_conf_perm"
    type: "Permute"
    bottom: "per_blob"
    top: "per_blob"
    permute_param
    order: 0
    order: 2
    order: 3
    order: 1




    which succeeded with different bottom, top name.



    Why does the in-place operation fail?










    share|improve this question
























      0












      0








      0








      I tried to use Permute layer with intel caffe, the codes with in-place operation failed with wrong top blob shape:



      layer 
      name: "conv4_3_norm_mbox_conf_perm"
      type: "Permute"
      bottom: "per_blob"
      top: "per_blob"
      permute_param
      order: 0
      order: 2
      order: 3
      order: 1




      which succeeded with different bottom, top name.



      Why does the in-place operation fail?










      share|improve this question














      I tried to use Permute layer with intel caffe, the codes with in-place operation failed with wrong top blob shape:



      layer 
      name: "conv4_3_norm_mbox_conf_perm"
      type: "Permute"
      bottom: "per_blob"
      top: "per_blob"
      permute_param
      order: 0
      order: 2
      order: 3
      order: 1




      which succeeded with different bottom, top name.



      Why does the in-place operation fail?







      caffe






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 8 at 8:36









      inkzkinkzk

      2261218




      2261218






















          1 Answer
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          0














          Obviously, values are messed up during permutation. To swap two variables, you need a temporary buffer (unless you use XOR tricks or something).






          share|improve this answer























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            1 Answer
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            0














            Obviously, values are messed up during permutation. To swap two variables, you need a temporary buffer (unless you use XOR tricks or something).






            share|improve this answer



























              0














              Obviously, values are messed up during permutation. To swap two variables, you need a temporary buffer (unless you use XOR tricks or something).






              share|improve this answer

























                0












                0








                0







                Obviously, values are messed up during permutation. To swap two variables, you need a temporary buffer (unless you use XOR tricks or something).






                share|improve this answer













                Obviously, values are messed up during permutation. To swap two variables, you need a temporary buffer (unless you use XOR tricks or something).







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 9 at 15:52









                Dmytro PrylipkoDmytro Prylipko

                2,18111127




                2,18111127





























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