I want to save the trained model and load it up for use.

IndexError Traceback (most recent call last)
in ()
18 adam.step()
19
---> 20 train_loss.append(loss.data[0])
21
22 if batch_id % 10 == 0:

IndexError: invalid index of a 0-dim tensor. Use tensor.item() in Python or tensor.item<T>() in C++ to convert a 0-dim tensor to a number

Brief looking at the code:

    for i in range(seq_len):
        ...
        for i in range(self.n_glimpses):
            ...
        loss += self.criterion(logits, target[:,i])

i will always be self.n_glimpses - 1, so the displayed loss is meaningless. Sorting predicted by the model will also be meaningless. After fixing it, the loss won't change and the model doesn't train at all. Logits are not softmaxed after pointing. Masks are never applied since idxs are never initialized.

I am getting a broken pipe error. I have worked for two months to solve this problem but still I am unable to resolve it. Can you suggest any solution?
Regards
Tariq Shah
Ph.D. students
Thammasat University, Thailand

Good day,

I want to test the model on windows 10. I assume the code was written for Linux, therefore I am receiving problems related to pip. I found that I should add "if name == 'main':" to protect the main code, however, I wasn't successful in fixing this problem.

Could someone help to solve this issue?

Solution:
https://stackoverflow.com/questions/18204782/runtimeerror-on-windows-trying-python-multiprocessing/18205006#18205006

explenation:
https://stackoverflow.com/questions/14207708/ioerror-errno-32-broken-pipe-python

Error:

BrokenPipeError Traceback (most recent call last)
in ()
4
5 for epoch in range(n_epochs):
----> 6 for batch_id, sample_batch in enumerate(train_loader):
7
8 inputs = Variable(sample_batch)

~\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in iter(self)
308
309 def iter(self):
--> 310 return DataLoaderIter(self)
311
312 def len(self):

~\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in init(self, loader)
165 for w in self.workers:
166 w.daemon = True # ensure that the worker exits on process exit
--> 167 w.start()
168
169 if self.pin_memory:

~\Anaconda3\lib\multiprocessing\process.py in start(self)
103 'daemonic processes are not allowed to have children'
104 _cleanup()
--> 105 self._popen = self._Popen(self)
106 self._sentinel = self._popen.sentinel
107 # Avoid a refcycle if the target function holds an indirect

~\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj)
221 @staticmethod
222 def _Popen(process_obj):
--> 223 return _default_context.get_context().Process._Popen(process_obj)
224
225 class DefaultContext(BaseContext):

~\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj)
320 def _Popen(process_obj):
321 from .popen_spawn_win32 import Popen
--> 322 return Popen(process_obj)
323
324 class SpawnContext(BaseContext):

~\Anaconda3\lib\multiprocessing\popen_spawn_win32.py in init(self, process_obj)
63 try:
64 reduction.dump(prep_data, to_child)
---> 65 reduction.dump(process_obj, to_child)
66 finally:
67 set_spawning_popen(None)

~\Anaconda3\lib\multiprocessing\reduction.py in dump(obj, file, protocol)
58 def dump(obj, file, protocol=None):
59 '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60 ForkingPickler(file, protocol).dump(obj)
61
62 #

BrokenPipeError: [Errno 32] Broken pipe

In pointer network jupyter notebook,

/pytorch_test/env2/lib/python2.7/site-packages/ipykernel_launcher.py:46: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number
Exception NameError: "global name 'FileNotFoundError' is not defined" in <bound method _DataLoaderIter.__del__ of <torch.utils.data.dataloader._DataLoaderIter object at 0x7fdc900d1cd0>> ignored
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-21-0299c228a1ba> in <module>()
     15 
     16         adam.zero_grad()
---> 17         loss.backward()
     18         adam.step()
     19 

/pytorch_test/env2/local/lib/python2.7/site-packages/torch/tensor.pyc in backward(self, gradient, retain_graph, create_graph)
     91                 products. Defaults to ``False``.
     92         """
---> 93         torch.autograd.backward(self, gradient, retain_graph, create_graph)
     94 
     95     def register_hook(self, hook):

/pytorch_test/env2/local/lib/python2.7/site-packages/torch/autograd/__init__.pyc in backward(tensors, grad_tensors, retain_graph, create_graph, grad_variables)
     87     Variable._execution_engine.run_backward(
     88         tensors, grad_tensors, retain_graph, create_graph,
---> 89         allow_unreachable=True)  # allow_unreachable flag
     90 
     91 

RuntimeError: backward_input can only be called in training mode