Node.create_node(self, inbound_layers, node_indices, tensor_indices)įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/topology.py", line 149, in create_node Self.add_inbound_node(inbound_layers, node_indices, tensor_indices)įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/topology.py", line 572, in add_inbound_node Layer.create_input_layer(batch_input_shape, input_dtype)įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/topology.py", line 370, in create_input_layerįile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/topology.py", line 514, in _call_ Model.add(Convolution2D(32, 8, 8, subsample=(4,4),init=lambda shape, name: normal(shape, scale=0.01, name=name), border_mode='same',input_shape=(img_channels,img_rows,img_cols)))įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/models.py", line 276, in add ValueError: CorrMM images and kernel must have the same stack sizeĪpply node that caused the error: CorrMM)]]īacktrace when the node is created(use Theano flag traceback.limit=N to make it longer): Storage_map=getattr(self.fn, 'storage_map', None))įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/theano/gof/link.py", line 314, in raise_with_opįile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/theano/compile/function_module.py", line 859, in _call_ Return (x, batch_size=batch_size, verbose=verbose)įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/training.py", line 1179, in predictįile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/engine/training.py", line 878, in _predict_loopįile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/backend/theano_backend.py", line 717, in _call_įile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/theano/compile/function_module.py", line 871, in _call_
Q = model.predict(s_t) #input a stack of 4 images, get the predictionįile "/Users/mleborgne/Library/Python/2.7/lib/python/site-packages/keras/models.py", line 671, in predict
Libpng warning: iCCP: known incorrect sRGB profileįile "qlearn.py", line 107, in trainNetwork
#KERNEL STACK SIZE FULL#
Recommended matplotlib backend is `Agg` for full skimage.viewer functionality.
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