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torch7 | main package in Torch7 where data structures | Machine Learning library

 by   torch C Version: Current License: Non-SPDX

 by   torch C Version: Current License: Non-SPDX

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kandi X-RAY | torch7 Summary

torch7 is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. torch7 has no bugs, it has no vulnerabilities and it has medium support. However torch7 has a Non-SPDX License. You can download it from GitHub.
Torch is the main package in Torch7 where data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many utilities for accessing files, serializing objects of arbitrary types and other useful utilities.
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  • torch7 has a medium active ecosystem.
  • It has 8619 star(s) with 2375 fork(s). There are 652 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 277 open issues and 442 have been closed. On average issues are closed in 83 days. There are 15 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of torch7 is current.
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  • torch7 has 0 bugs and 0 code smells.
torch7 Quality
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torch7 Quality
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  • torch7 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • torch7 code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
torch7 Security
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torch7 Security
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  • torch7 has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

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netG:apply(weights_init)
local function weights_init(m)
   local name = torch.type(m)
   if name:find('Convolution') then
      m.weight:normal(0.0, 0.02)
      m.bias:fill(0)
   elseif name:find('BatchNormalization') then
      if m.weight then m.weight:normal(1.0, 0.02) end
      if m.bias then m.bias:fill(0) end
   end
end
-----------------------
netG:apply(weights_init)
local function weights_init(m)
   local name = torch.type(m)
   if name:find('Convolution') then
      m.weight:normal(0.0, 0.02)
      m.bias:fill(0)
   elseif name:find('BatchNormalization') then
      if m.weight then m.weight:normal(1.0, 0.02) end
      if m.bias then m.bias:fill(0) end
   end
end

Community Discussions

Trending Discussions on torch7
  • Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model
  • torch.CharStorage doesn't read data from a file when size isn't provided
Trending Discussions on torch7

QUESTION

Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

Asked 2021-Jan-06 at 11:11

I am trying to implement the "SeGAN: Segmenting and Generating the invisible" paper on ubuntu 18.04 with Geforce RTX 2060. I have installed the Driver, CUDA, cuDNN, Torch7 and dependencies and downloaded and extracted the dataset and weights folders and made a link to them. I tried to train the model with this line of code:

th main.lua -baseLR 1e-3 -end2end -istrain "train"

But I got this error:

define model netG...    
/home/darya/distro/install/bin/luajit: /home/darya/distro/install/share/lua/5.1/nn/Module.lua:352: attempt to call local 'callback' (a nil value)
stack traceback:
    /home/darya/distro/install/share/lua/5.1/nn/Module.lua:352: in function 'apply'
    /home/darya/SeGAN/networks/End2EndNetwork.lua:81: in function 'defineG'
    /home/darya/SeGAN/networks/End2EndNetwork.lua:130: in function 'init_networks'
    /home/darya/SeGAN/networks/End2EndNetwork.lua:343: in main chunk
    [C]: in function 'dofile'
    main.lua:265: in main chunk
    [C]: in function 'dofile'
    ...rya/distro/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
    [C]: at 0x55e8fde0f570

I don't know what am I doing wrong and since I don't have much experience I am confused. Can someone help me to fix this problem, please? I appreciate it so much.

github repository for SeGAN segmenting and generating the invisible

ANSWER

Answered 2021-Jan-06 at 11:11

From the linked GitHub repo:

End2EndNetwork.lua line 81

netG:apply(weights_init)

weights_init is supposed to be a function value but is nil.

Which in Module:apply causes callback(self) in Torch nn's Module.lua Line352 to fail.

Looks like someone has to implement that function.

Like in https://github.com/phillipi/pix2pix/blob/89ff2a81ce441fbe1f1b13eca463b87f1e539df8/train.lua, which https://github.com/ehsanik/SeGAN/blob/d29e0a5ac08f093b87dc82af3707d50107900d04/networks/End2EndNetwork.lua#L73 refers to.

where

local function weights_init(m)
   local name = torch.type(m)
   if name:find('Convolution') then
      m.weight:normal(0.0, 0.02)
      m.bias:fill(0)
   elseif name:find('BatchNormalization') then
      if m.weight then m.weight:normal(1.0, 0.02) end
      if m.bias then m.bias:fill(0) end
   end
end

Source https://stackoverflow.com/questions/65594137

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