About the environment

[Yudezhi]

Could you please tell me a little bit about the environment of this project. I configured the theano but get error About "out of memory. "And I tried a lot of methods to fix it. However, it doesn't work.

I beg for your help.
Thanks a lot.
Thanks a lot.
Thanks a lot.

[Yudezhi]

Env:
system: Ubuntu16.04 64bit
python : 2.7
cuda:8.0
cudnn :5.5
theano:0.9.0 pygpu:1.6.9

Traceback (most recent call last):
File "/home/jason/Documents/DRGD-LCSTS/main_lcsts.py", line 465, in
run(existing_model_name)
File "/home/jason/Documents/DRGD-LCSTS/main_lcsts.py", line 421, in run
cost, a, b, c, d, y_pred = model.train(batch.x, batch.y, batch.x_mask, batch.y_mask, consts["batch_size"], consts["lr"])
File "/home/jason/anaconda2/envs/DRGD-LCSTS/lib/python2.7/site-packages/theano/compile/function_module.py", line 917, in call
storage_map=getattr(self.fn, 'storage_map', None))
File "/home/jason/anaconda2/envs/DRGD-LCSTS/lib/python2.7/site-packages/theano/gof/link.py", line 325, in raise_with_op
reraise(exc_type, exc_value, exc_trace)
File "/home/jason/anaconda2/envs/DRGD-LCSTS/lib/python2.7/site-packages/theano/compile/function_module.py", line 903, in call
self.fn() if output_subset is None else
File "pygpu/gpuarray.pyx", line 700, in pygpu.gpuarray.pygpu_empty
File "pygpu/gpuarray.pyx", line 301, in pygpu.gpuarray.array_empty
pygpu.gpuarray.GpuArrayException: cuMemAlloc: CUDA_ERROR_OUT_OF_MEMORY: out of memory
Apply node that caused the error: GpuAlloc(GpuArrayConstant{0.0}, Subtensor{int64}.0, Subtensor{int64}.0, Elemwise{add,no_inplace}.0)
Toposort index: 176
Inputs types: [GpuArrayType(float32, scalar), TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar)]
Inputs shapes: [(), (), (), ()]
Inputs strides: [(), (), (), ()]
Inputs values: [gpuarray.array(0.0, dtype=float32), array(122), array(300), array(1000)]
Outputs clients: [[GpuIncSubtensor{Set;::, ::, int64:int64:}(GpuAlloc.0, GpuSubtensor{int64::}.0, Constant{0}, ScalarFromTensor.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
File "/home/jason/Documents/DRGD-LCSTS/main_lcsts.py", line 465, in
run(existing_model_name)
File "/home/jason/Documents/DRGD-LCSTS/main_lcsts.py", line 380, in run
model = RNN(modules, consts, options)
File "/home/jason/Documents/DRGD-LCSTS/rnn.py", line 51, in init
self.define_layers(modules, consts, options)
File "/home/jason/Documents/DRGD-LCSTS/rnn.py", line 83, in define_layers
self.word_emb = self.concatenate((word_emb_f, word_emb_b[::-1]), word_emb_f.ndim - 1)
File "/home/jason/Documents/DRGD-LCSTS/rnn.py", line 230, in concatenate
out = T.zeros(output_shape)

HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

Process finished with exit code 1