head files missing

[jingfeng-linksprite]

Hi,

xnornet_bwn.h and xnornet.h are missing. Do you know where can we get that?

[jonathanmarek1]

Hi,
these files are generated by the xnornet.py script

[YaoQ]

Hi， @jonathanmarek1
I install pytorch 0.1.12.post2 on Ubunt14.04 with cuda8.0, cudnn6.1, and
run the

python xnornet.py

Got error like:

$ python xnornet.py 
Traceback (most recent call last):
  File "xnornet.py", line 20, in <module>
    model = load_lua('data/alexnet_BWN.t7' if BWN else 'data/alexnet_XNOR.t7')
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 599, in load_lua
    return reader.read()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 584, in read
    return self.read_object()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 514, in wrapper
    result = fn(self, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 537, in read_object
    return reader_registry[cls_name](self, version)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 242, in read_nn_class
    attributes = reader.read()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 586, in read
    return self.read_table()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 514, in wrapper
    result = fn(self, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 563, in read_table
    v = self.read()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 584, in read
    return self.read_object()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 514, in wrapper
    result = fn(self, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 537, in read_object
    return reader_registry[cls_name](self, version)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 146, in read_tensor
    storage = reader.read()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 584, in read
    return self.read_object()
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 514, in wrapper
    result = fn(self, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 537, in read_object
    return reader_registry[cls_name](self, version)
  File "/usr/local/lib/python2.7/dist-packages/torch/utils/serialization/read_lua_file.py", line 165, in read_storage
    return python_class.from_buffer(reader.f.read(size), 'native')
AttributeError: type object 'torch.cuda.FloatStorage' has no attribute 'from_buffer'

And I refer to this issue and try to convert model from GPU to CPU

m = torch.load('xxxx.t7')
m = m:float()
torch.save('xxxx.cpu.t7',m) 

But still got error like:

/opt/torch/install/bin/luajit: /opt/torch/install/share/lua/5.1/torch/File.lua:343: unknown Torch class <nn.BinActiveZ>
stack traceback:
	[C]: in function 'error'
	/opt/torch/install/share/lua/5.1/torch/File.lua:343: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
	/opt/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
	/opt/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
	/opt/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
	/opt/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
	/opt/torch/install/share/lua/5.1/torch/File.lua:409: in function 'load'
	export_to_cpu.lua:9: in main chunk
	[C]: in function 'dofile'
	/opt/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
	[C]: at 0x00406670

So I am not sure where the problem is， do you have any idea？
Thank you very much.

[YaoQ]

Now we have used python3.5 to generate the xornet.c and xnornet.h file.but when we compile the source code for Android demo, it depends on ../rpi-demo/name2.h, but there is no related code in the repo.
Can you share it? @jonathanmarek1

Thank you very much!

[jonathanmarek1]

@YaoQ I have added the missing file