Weird behaviour

[MikhailMS]

I tried to run the app with various amount of different midi samples, however after files are loaded I am getting this warning /model.py:372: UserWarning: Updating an 'OrderedUpdates' with a non-ordered dictionary with 2+ elements could make your code non-deterministic self.walk_input: next_input /model.py:375: UserWarning: Updating an 'OrderedUpdates' with a non-ordered dictionary with 2+ elements could make your code non-deterministic updates.update({hidden:newstate for hidden, newstate, layer in zip(self.walk_hiddens, new_states, self.time_model.layers) if has_hidden(layer)})

and after that it fails with Memory error Traceback (most recent call last): File "main.py", line 46, in <module> multi_training.trainPiece(m, pcs, 10000) File "/LSTM-generator/multi_training.py", line 53, in trainPiece error = model.update_fun(*getPieceBatch(pieces)) File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/compile/function_module.py", line 871, in __call__ storage_map=getattr(self.fn, 'storage_map', None)) File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/gof/link.py", line 314, in raise_with_op reraise(exc_type, exc_value, exc_trace) File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/compile/function_module.py", line 859, in __call__ outputs = self.fn() File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/scan_module/scan_op.py", line 951, in rval r = p(n, [x[0] for x in i], o) File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/scan_module/scan_op.py", line 940, in <lambda> self, node) File "theano/scan_module/scan_perform.pyx", line 524, in theano.scan_module.scan_perform.perform (/home/.theano/compiledir_Linux-2.6-el6.x86_64-x86_64-with-redhat-6.8-Carbon-x86_64-2.7.13-64/scan_perform/mod.cpp:5862) File "/home/.conda/envs/music-generation/lib/python2.7/site-packages/theano/tensor/type.py", line 634, in value_zeros return numpy.zeros(shape, dtype=self.dtype) MemoryError

I tried to decrease the batch_width and run on both cpu and gpu clusters (there was no warning about memory over-usage from clusters though) so I am kinda lost. What could be an issue?

[MikhailMS]

Issue's been discovered. It was my mistake :)

[XXXXX11123333]

Can you say - What was the mistake?

[MikhailMS]

@MusicxChris it was some time ago, so I cannot remember exactly, but seems like I had purely composed midi files which caused that error. But it could be due something else, but deletion of those midi files helped me.