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duggalrahul / AlexNet-Experiments-Keras

Code examples for training AlexNet using Keras and Theano
MIT License
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ValueError: Dimensions must be equal, but are 27 and 26 #14

Open sumitcoder1 opened 6 years ago

sumitcoder1 commented 6 years ago

Traceback (most recent call last):

File "", line 1, in runfile('C:/Users/Lab PC/Documents/PythonWorkspace/convnets-keras-master/test.py', wdir='C:/Users/Lab PC/Documents/PythonWorkspace/convnets-keras-master')

File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 678, in runfile execfile(filename, namespace)

File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 106, in execfile exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Lab PC/Documents/PythonWorkspace/convnets-keras-master/test.py", line 14, in model = convnet('alexnet',weights_path="weights/alexnet_weights.h5", heatmap=False)

File "C:\Users\Lab PC\Documents\PythonWorkspace\convnets-keras-master\convnetskeras\convnets.py", line 83, in convnet convnet = convnet_init(weights_path, heatmap=False)

File "C:\Users\Lab PC\Documents\PythonWorkspace\convnets-keras-master\convnetskeras\convnets.py", line 248, in AlexNet conv_2 = crosschannelnormalization(name='convpool_1')(conv_2)

File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 569, in call self.add_inbound_node(inbound_layers, node_indices, tensor_indices)

File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 632, in add_inbound_node Node.create_node(self, inbound_layers, node_indices, tensor_indices)

File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 164, in create_node output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))

File "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 596, in call return self.function(x, **arguments)

File "C:\Users\Lab PC\Documents\PythonWorkspace\convnets-keras-master\convnetskeras\customlayers.py", line 24, in f scale += alpha * extra_channels[:, i:i + ch, :, :]

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 979, in binary_op_wrapper return func(x, y, name=name)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 296, in add "Add", x=x, y=y, name=name)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1734, in init control_input_ops)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1570, in _create_c_op raise ValueError(str(e))

ValueError: Dimensions must be equal, but are 27 and 26 for 'add_2' (op: 'Add') with input shapes: [?,27,27,100], [?,26,27,100].