Hi,

I tried today to run the code as it is said on the readme file but I get this error on the training part (python main.py --mode='train'): log.txt

Do you have any idea what can be the issue there?

Hi,

As written in the paper, D is a ternary classification function.

In your codes,

1. from source self.d_loss_src = slim.losses.sigmoid_cross_entropy(self.logits, tf.zeros_like(self.logits))

2. from trarget self.d_loss_fake_trg = slim.losses.sigmoid_cross_entropy(self.logits_fake,tf.zeros_like(self.logits_fake)) self.d_loss_real_trg = slim.losses.sigmoid_cross_entropy(self.logits_real, tf.ones_like(self.logits_real))

It seems that the function D in your code is a binary classification function.

Could you please explain it?

Thanks.

Most of the functions used are deprecated according to newer version of tensorflow and the following error occurs when i tried to run with older version of tensorflow.

ValueError: Variable discriminator/conv1/weights/Adam/ already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

File "/Users/arjun/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/slim/python/slim/learning.py", line 467, in create_train_op grad_updates = optimizer.apply_gradients(grads, global_step=global_step) File "/Users/arjun/dtn-tensorflow/model.py", line 129, in build_model self.d_train_op_src = slim.learning.create_train_op(self.d_loss_src, self.d_optimizer_src, variables_to_train=d_vars) File "/Users/arjun/dtn-tensorflow/solver.py", line 112, in train model.build_model()

Can you look into the issue.I dont have much experience in tensorflow to exactly point out the issue..

As mentioned here, slim.losses.sigmoid_cross_entropy is deprecated from 2016-12-30, and slim.losses.sparse_softmax_cross_entropy_with_logits is deprecated as mentioned here

2018-08-14 09:03:28.522755: W tensorflow/core/framework/op_kernel.cc:1275] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key beta1_power_1 not found in checkpoint Traceback (most recent call last): File "main.py", line 31, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "main.py", line 26, in main solver.train() File "/home/idea/model/domain-transfer-network/solver.py", line 122, in train if self.load(): File "/home/idea/model/domain-transfer-network/solver.py", line 227, in load self.saver.restore(self.sess, os.path.join(checkpoint_dir, ckpt_name)) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1743, in restore err, "a Variable name or other graph key that is missing") tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key beta1_power_1 not found in checkpoint [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]] [[Node: save/RestoreV2/_301 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_306_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

Caused by op u'save/RestoreV2', defined at: File "main.py", line 31, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "main.py", line 26, in main solver.train() File "/home/idea/model/domain-transfer-network/solver.py", line 121, in train self.saver = tf.train.Saver() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1281, in init self.build() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1293, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1330, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 778, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 397, in _AddRestoreOps restore_sequentially) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 829, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1463, in restore_v2 shape_and_slices=shape_and_slices, dtypes=dtypes, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 454, in new_func return func(*args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3155, in create_op op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1717, in init self._traceback = tf_stack.extract_stack()

NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key beta1_power_1 not found in checkpoint [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]] [[Node: save/RestoreV2/_301 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_306_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

I run the code successfully，and find there is code about digits from SVHN to mnist and find that there is no code about faces： from photo to emoji. the two applications of domain transfer network，the author only made digits come true. how I can get the code about faces： from photo to emoji.

1.sample emoji pictures were given in folder 2.from where i can define the emoji picture path in the script? 3.is there any trained model available for testing emoji pictures. 4.send the link which has the trained model.

File "/home/page/wp/domain-transfer-network/solver.py", line 41, in load_svhn images = np.transpose(svhn['X'], [3, 0, 1, 2]) / 127.5 - 1 MemoryError