sg-nm/cgp-cnn

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

cgp-cnn's Issues

in_data[small_ch_id] = torch.cat([in_data[small_ch_id], tmp * 0], 1) RuntimeError: Sizes of tensors must match except in dimension 2. Got 4 and 8

in_data[small_ch_id] = torch.cat([in_data[small_ch_id], tmp * 0], 1)
RuntimeError: Sizes of tensors must match except in dimension 2. Got 4 and 8

I would like to ask what is the problem? This problem always occurs when the algorithm runs halfway

Error when running on Ubuntu 16.04, chainer 3.1.0

I tried to run the code, error is as follow:

Traceback (most recent call last):
File "/home/data/luopengting/workplace/python/cgp-cnn-master/cnn_train.py", line 118, in call
optimizer.update(model, x, t)
File "/home/b3434/anaconda3/envs/chainer/lib/python3.5/site-packages/chainer/optimizer.py", line 534, in update
loss = lossfun(*args, **kwds)
File "/home/data/luopengting/workplace/python/cgp-cnn-master/cnn_model.py", line 160, in call
outputs[nodeID], tmp_num = getattr(self, name)(outputs[self.cgp[nodeID][1]], outputs[self.cgp[nodeID][1]], self.train)
File "/home/data/luopengting/workplace/python/cgp-cnn-master/cnn_model.py", line 58, in call
x = getattr(self, name)(x, not train)
TypeError: call() takes 2 positional arguments but 3 were given
gpu_id: 0 , eval: 0.0

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can u help me, plz ? thx a lot.

Hello, first of all, I would like to thank you for your excellent work. In addition, I am not very familiar with evolutionary algorithms. I want to know how can I count the number of all parameters in the network.

Hello, can you generate multiple parent networks at the same time when the network is initialized

Hello author, what's going on here with the evaluation function? The goal has been changed to multi-target, but I don't know how to do it. Forgive me if I'm a beginner.

Hello author, what's going on here with the evaluation function? The goal has been changed to multi-target, but I don't know how to do it. Forgive me if I'm a beginner.

I have made some changes to your work. I changed the single label to multi-label recognition. The loss uses multilablemarginloss, but the problem is that the loss is only available at epoch1, and the rest are all 0. Please ask me how to change Change this status quo

TypeError: concat() missing 1 required positional argument: 'xs'

        elif name == 'sum':
            links += [('_'+name+'_'+str(i), F.concat())] 

module 'chainer.functions' has no attribute 'ReLU

There are a couple of issues that I am facing while running the main file
module 'chainer.functions' has no attribute 'ReLU
module 'chainer.functions' has no attribute 'Concat'
relu() missing 1 required positional argument: 'x'

RuntimeError: The size of tensor a (4) must match the size of tensor b (8) at non-singleton dimension 3 multiprocessing.pool.RemoteTraceback:

gpu_id: 0 , [['input', 0, 0], ['S_ResBlock_64_1', 0, 0], ['S_ConvBlock_128_5', 0, 0], ['S_ConvBlock_64_3', 0, 0], ['S_ResBlock_64_5', 2, 3], ['S_ConvBlock_128_3', 1, 1], ['S_ResBlock_32_1', 3, 1], ['Max_Pool', 4, 6], ['Avg_Pool', 7, 6], ['Sum', 5, 6], ['S_ResBlock_32_1', 8, 7], ['Sum', 9, 10], ['Max_Pool', 11, 10], ['S_ConvBlock_64_1', 12, 10], ['S_ConvBlock_128_3', 13, 13], ['S_ConvBlock_32_3', 14, 14], ['full', 15, 15]]

How to set up multi-gpu training

Error when running on Ubuntu 16.04

Traceback (most recent call last):
File "/development/cgp-cnn/cnn_train.py", line 118, in call
optimizer.update(model, x, t)
File "/usr/local/lib/python2.7/dist-packages/chainer/optimizer.py", line 528, in update
loss = lossfun(*args, **kwds)
File "/development/cgp-cnn/cnn_model.py", line 160, in call
outputs[nodeID], tmp_num = getattr(self, name)(outputs[self.cgp[nodeID][1]], outputs[self.cgp[nodeID][1]], self.train)
File "~/development/cgp-cnn/cnn_model.py", line 58, in call
x = getattr(self, name)(x, not train)
TypeError: call() takes exactly 2 arguments (3 given)

I get the previous error when running the example given in the README.md I am happy to provide any other information required.

The script continues running but outputs this error every time and restarts.

Hello author, first of all, thank you very much for your work, how do I change the code if I want to recognize the string

Hello author, first of all, thank you very much for your work, how do I change the code if I want to recognize the string