got an error of theano flag 'exception_verbosity=high'

[JiteshPshah]

Hi,
I got an error from changing the backend to theano.
my command is :
python train.py --path ../Image\ Generation/ --TYPE "train" --batch_size 10 --epochs 10

Traceback (most recent call last):
  File "train.py", line 196, in <module>
    train(path = args.path, batch_size = args.batch_size, EPOCHS = args.epochs)
  File "train.py", line 100, in train
    generated_images = generator.predict(Noise_batch)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/models.py", line 899, in predict
    return self.model.predict(x, batch_size=batch_size, verbose=verbose)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1573, in predict
    batch_size=batch_size, verbose=verbose)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1203, in _predict_loop
    batch_outs = f(ins_batch)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 1122, in __call__
    return self.function(*inputs)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py", line 871, in __call__
    storage_map=getattr(self.fn, 'storage_map', None))
  File "/home/akash/anaconda2/lib/python2.7/site-packages/theano/gof/link.py", line 314, in raise_with_op
    reraise(exc_type, exc_value, exc_trace)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py", line 859, in __call__
    outputs = self.fn()
RuntimeError: CorrMM failed to allocate working memory of 12800 x 65536

Apply node that caused the error: CorrMM{half, (1, 1)}(InplaceDimShuffle{0,3,1,2}.0, Subtensor{::, ::, ::int64, ::int64}.0)
Toposort index: 144
Inputs types: [TensorType(float32, 4D), TensorType(float32, 4D)]
Inputs shapes: [(10, 512, 4096, 16), (256, 512, 5, 5)]
Inputs strides: [(134217728, 4, 32768, 2048), (4, 1024, -2621440, -524288)]
Inputs values: ['not shown', 'not shown']
Outputs clients: [[InplaceDimShuffle{0,2,3,1}(CorrMM{half, (1, 1)}.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
  File "train.py", line 196, in <module>
    train(path = args.path, batch_size = args.batch_size, EPOCHS = args.epochs)
  File "train.py", line 63, in train
    generator = model.generator_model()
  File "/home/akash/GAN-master/model.py", line 34, in generator_model
    model.add(Convolution2D(256, 5, 5, border_mode='same'))
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/models.py", line 463, in add
    output_tensor = layer(self.outputs[0])
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 578, in __call__
    output = self.call(inputs, **kwargs)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 164, in call
    dilation_rate=self.dilation_rate)
  File "/home/akash/anaconda2/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 1769, in conv2d
    filter_dilation=dilation_rate)

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