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April 14, 2017 14:20
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igan.txt
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$ THEANO_FLAGS='device=cpu, floatX=float32, nvcc.fastmath=True' python iGAN_main.py --model_name outdoor_64 | |
[n_iters] = 40 | |
[top_k] = 16 | |
[average] = False | |
[morph_steps] = 16 | |
[model_file] = ./models/outdoor_64.dcgan_theano | |
[d_weight] = 0.0 | |
[interp] = linear | |
[batch_size] = 64 | |
[framework] = theano | |
[model_type] = dcgan_theano | |
[shadow] = False | |
[model_name] = outdoor_64 | |
[win_size] = 384 | |
LOADING... | |
('n_layers=', 3) | |
load model from ./models/outdoor_64.dcgan_theano | |
3.27 seconds to load theano models | |
Traceback (most recent call last): | |
File "iGAN_main.py", line 41, in <module> | |
model = model_class.Model(model_name=args.model_name, model_file=args.model_file) | |
File "/Users/Andrew/Developer/iGAN/model_def/dcgan_theano.py", line 27, in __init__ | |
self._gen = self.def_gen(self.gen_params, self.gen_batchnorm, n_layers=self.n_layers, n_f=self.n_f, nc=self.nc) | |
File "/Users/Andrew/Developer/iGAN/model_def/dcgan_theano.py", line 40, in def_gen | |
gx = gen_test(z, gen_params, gen_pl, n_layers=n_layers, n_f=n_f, nc=nc, use_tanh=False) | |
File "/Users/Andrew/Developer/iGAN/model_def/dcgan_theano.py", line 227, in gen_test | |
hout = relu(batchnorm(deconv(hin, w, subsample=(2, 2), border_mode=(2, 2)), u=u, s=s, g=g, b=b)) | |
File "/Users/Andrew/Developer/iGAN/lib/ops.py", line 95, in deconv | |
d_img = GpuDnnConvGradI()(kerns, img, out, desc) | |
File "/Users/Andrew/anaconda/envs/theano-2.7/lib/python2.7/site-packages/theano/sandbox/cuda/dnn.py", line 859, in __init__ | |
if version() < (5000, 5000): | |
File "/Users/Andrew/anaconda/envs/theano-2.7/lib/python2.7/site-packages/theano/sandbox/cuda/__init__.py", line 424, in dnn_version | |
dnn_available.msg) | |
Exception: ("We can't determine the cudnn version as it is not available", 'CUDA not available') |
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