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LeeDoYup / AnoGAN-tf

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
MIT License
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ValueError: Trying to share variable discriminator/d_h4_lin/Matrix, but specified shape (8192, 1) and found shape (25088, 1). #4

Closed lcj820 closed 6 years ago

lcj820 commented 6 years ago

Traceback (most recent call last): File "main.py", line 124, in tf.app.run() File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "main.py", line 101, in main test_dir = FLAGS.test_dir) File "/home/li/gan/AnoGAN-master/model.py", line 75, in init self.build_model() File "/home/li/gan/AnoGAN-master/model.py", line 116, in buildmodel self.D, self.Dlogits = self.discriminator(self.G, self.y, reuse=True) File "/home/li/gan/AnoGAN-master/model.py", line 283, in discriminator h4 = linear(tf.reshape(h3, [batch_size, -1]), 1, 'd_h4_lin') File "/home/li/gan/AnoGAN-master/ops.py", line 80, in linear tf.random_normal_initializer(stddev=stddev)) File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/ops/variable_scope.py", line 1065, in get_variable use_resource=use_resource, custom_getter=custom_getter) File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/ops/variable_scope.py", line 962, in get_variable use_resource=use_resource, custom_getter=custom_getter) File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/ops/variable_scope.py", line 367, in get_variable validate_shape=validate_shape, use_resource=use_resource) File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/ops/variable_scope.py", line 352, in _true_getter use_resource=use_resource) File "/home/li/tensorflow/lib/python3.4/site-packages/tensorflow/python/ops/variable_scope.py", line 669, in _get_single_variable found_var.get_shape())) ValueError: Trying to share variable discriminator/d_h4_lin/Matrix, but specified shape (8192, 1) and found shape (25088, 1).

LeeDoYup commented 6 years ago

Which dataset?

adrian-dalessandro commented 6 years ago

I solved this issue by explicitly making the input_height and output_height equivalent. The generator is producing an image that is 64x64 while the discriminator takes images of size 108x108. So if you try to share parameters, it will fail.