Closed Ahmed-Mohamed15 closed 7 years ago
Are you using any non-built-in nn modules or other torch classes? If so, which?
All the python code is
import torchfile
o = torchfile.load('colornet.t7')
and the model is depends on nn image && nngraph && Torch7 packages
@bshillingford
Should be fixed now, try master.
okey it is fixed now but it gives me another errors when tried to print the model, so what is the problem ? it may be it can't print the wholo model, if it is, so can i see what is the model consists of ? (some thing like help command or a guide ) so that i can access only what i want because i don't know what is the actual code inside it. @bshillingford
o = torchfile.load('colornet.t7')
print (o)
The errors
Traceback (most recent call last): File "code.py", line 3, in <module> print o File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 181, in __repr__ return "TorchObject(%s, %s)" % (self._typename, repr(self._obj)) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 181, in __repr__ return "TorchObject(%s, %s)" % (self._typename, repr(self._obj)) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 181, in __repr__ return "TorchObject(%s, %s)" % (self._typename, repr(self._obj)) MemoryError
You're trying to print the entire model, and you're running out of memory.
To see elements, use o.keys()
if it's a dict, or dir(o)
if it's a torch
class instance.
Please keep in mind that this module is simply for reading .t7
files and
inspecting them, e.g. if you wanted to inspect a training checkpoint or
extract weights as numpy arrays. Thus you're not able to run a forward
pass, but of course you could manually copy the weights into a model in the
framework of your choice. Consider using the original Lua code if you just
want to run the model.
i want is to access the trained weights of the layers , that's all i try to get. @bshillingford
Then use dir
and keys
as mentioned, as usual in Python.
i have tried the mentioned test.t7 files and it works correctly but when i tried it with this model it gives me errors when load it
Traceback (most recent call last): File "code.py", line 2, in <module> o = torchfile.load('colornet.t7') File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 415, in load return reader.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 375, in read_obj obj = torch_readers[className](self, version) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 201, in reader obj = reader.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 375, in read_obj obj = torch_readers[className](self, version) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 201, in reader obj = reader.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 375, in read_obj obj = torch_readers[className](self, version) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 201, in reader obj = reader.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 386, in read_obj v = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 385, in read_obj k = self.read_obj() File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 373, in read_obj obj = TorchObject(className, self.read_obj()) File "/usr/local/lib/python2.7/dist-packages/torchfile.py", line 405, in read_obj raise T7ReaderException("unknown object") torchfile.T7ReaderException: unknown object
Note: the mentioned model works correctly when run it.