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Your paper is very nice and I was hoping to give these models a try. However I believe I might be running into an error on a later version of pytorch.
The error can be found by either running the unit tests or the example.py. In the latter case, I turned on anomaly detection in pytorch and got the following stack trace:
instantiating ExampleAttentionMPNN
starting training
/pytorch/torch/csrc/autograd/python_anomaly_mode.cpp:57: UserWarning: Traceback of forward call that caused the error:
File "/usr/local/anaconda/envs/base3/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/local/anaconda/envs/base3/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/kernelapp.py", line 563, in start
self.io_loop.start()
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/platform/asyncio.py", line 148, in start
self.asyncio_loop.run_forever()
File "/usr/local/anaconda/envs/base3/lib/python3.7/asyncio/base_events.py", line 539, in run_forever
self._run_once()
File "/usr/local/anaconda/envs/base3/lib/python3.7/asyncio/base_events.py", line 1775, in _run_once
handle._run()
File "/usr/local/anaconda/envs/base3/lib/python3.7/asyncio/events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/ioloop.py", line 690, in <lambda>
lambda f: self._run_callback(functools.partial(callback, future))
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/ioloop.py", line 743, in _run_callback
ret = callback()
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/gen.py", line 787, in inner
self.run()
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/gen.py", line 748, in run
yielded = self.gen.send(value)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 365, in process_one
yield gen.maybe_future(dispatch(*args))
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 272, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 542, in execute_request
user_expressions, allow_stdin,
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/ipkernel.py", line 294, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/ipykernel/zmqshell.py", line 536, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 2855, in run_cell
raw_cell, store_history, silent, shell_futures)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 2881, in _run_cell
return runner(coro)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner
coro.send(None)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3058, in run_cell_async
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3249, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-8-2e266c6eafda>", line 12, in <module>
output = net(adjacency, nodes, edges)
File "/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "/home/jon/projects/graph-neural-networks-for-drug-discovery/gnn/aggregation_mpnn.py", line 68, in forward
hidden_nodes[edge_batch_batch_indices, edge_batch_neighbour_indices, :]
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-8-2e266c6eafda> in <module>
12 output = net(adjacency, nodes, edges)
13 loss = criterion(output, target)
---> 14 loss.backward()
15 torch.nn.utils.clip_grad_value_(net.parameters(), 5.0)
16 optimizer.step()
/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/torch/tensor.py in backward(self, gradient, retain_graph, create_graph)
116 products. Defaults to ``False``.
117 """
--> 118 torch.autograd.backward(self, gradient, retain_graph, create_graph)
119
120 def register_hook(self, hook):
/usr/local/anaconda/envs/base3/lib/python3.7/site-packages/torch/autograd/__init__.py in backward(tensors, grad_tensors, retain_graph, create_graph, grad_variables)
91 Variable._execution_engine.run_backward(
92 tensors, grad_tensors, retain_graph, create_graph,
---> 93 allow_unreachable=True) # allow_unreachable flag
94
95
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [50, 42, 75]], which is output 0 of SliceBackward, is at version 3; expected version 2 instead. Hint: the backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or anywhere later. Good luck!
I realize that it's probably hard to support this code with arbitrary package versions but in case you have a quick idea about what the issue is, here's my environment:
Your paper is very nice and I was hoping to give these models a try. However I believe I might be running into an error on a later version of
pytorch
.The error can be found by either running the unit tests or the
example.py
. In the latter case, I turned on anomaly detection inpytorch
and got the following stack trace:I realize that it's probably hard to support this code with arbitrary package versions but in case you have a quick idea about what the issue is, here's my environment:
All of these packages are beyond where you developed against, but I suspect this all gets back to the
torch
difference.The text was updated successfully, but these errors were encountered: