tensorflow termination; what(): std::bad_alloc

Hi, I don’t have nvidia so I’ve been trying to use TensorFlow backend with --mrf-w=0 to speed things up (Theano works but really slow), but I get this error (tested with many different images that all worked using Theano backend)… any ideas how to fix it?

xxx:~/Code/python/neural-image-analogies$ make_image_analogy.py images/1.jpg images/1.jpg images/2.jpg out/arch --mrf-w=0
Using TensorFlow backend.
Using PatchMatch model
Scale factor 0.25 "A" shape (1, 3, 603, 653) "B" shape (1, 3, 300, 225)
Building loss...
Precomputing static features...
Building and combining losses...
Start of iteration 0 x 0
Current loss value: 62929842176.0
Image saved as out/arch_at_iteration_0_0.png
Iteration completed in 1359.27 seconds
Start of iteration 0 x 1
Current loss value: 59368124416.0
Image saved as out/arch_at_iteration_0_1.png
Iteration completed in 1354.37 seconds
Start of iteration 0 x 2
Current loss value: 58041049088.0
Image saved as out/arch_at_iteration_0_2.png
Iteration completed in 1315.46 seconds
Start of iteration 0 x 3
Current loss value: 57320632320.0
Image saved as out/arch_at_iteration_0_3.png
Iteration completed in 1324.93 seconds
Start of iteration 0 x 4
Current loss value: 56854339584.0
Image saved as out/arch_at_iteration_0_4.png
Iteration completed in 990.21 seconds
/home/xxx/Code/python/neural-image-analogies/venv/local/lib/python2.7/site-packages/scipy/ndimage/interpolation.py:573: UserWarning: From scipy 0.13.0, the output shape of zoom() is calculated with round() instead of int() - for these inputs the size of the returned array has changed.
  "the returned array has changed.", UserWarning)
Scale factor 0.625 "A" shape (1, 3, 1508, 1633) "B" shape (1, 3, 751, 563)
Building loss...
Precomputing static features...
terminate called after throwing an instance of 'std::bad_alloc'
  what():  std::bad_alloc
Aborted (core dumped)

[chenyuqing]

I have the same problem and my ram is 5.55GB

timchan@ubuntu:~/workspaces/dl/tf$ python3 full_code.py Extracting MNIST_data/train-images-idx3-ubyte.gz Extracting MNIST_data/train-labels-idx1-ubyte.gz Extracting MNIST_data/t10k-images-idx3-ubyte.gz Extracting MNIST_data/t10k-labels-idx1-ubyte.gz terminate called after throwing an instance of ‘std::bad_alloc’ what(): std::bad_alloc Aborted (core dumped)

[sdierauf]

That looks like it’s running out of memory when trying to initialize the larger image, try scaling down the size of your source images by 50% and see if it still works. How much memory does your system have?