change dataset and error comes

[pennywei]

I have been running the code with the mnist successfully.But when I converted the dataset into 10000 64*64-size pictures of myself,the problem arose. Embeddings which I use have dimensionality of 10. Thank you. Here is the errors:

2019-04-30 16:22:42.154842: I C:\Users\User\Source\Repos\tensorflow\tensorflow\core\kernels\cuda_solvers.cc:159] Creating CudaSolver handles for stream 00000233B3D591D0 2019-04-30 16:22:42.680676: W C:\Users\User\Source\Repos\tensorflow\tensorflow\core\framework\op_kernel.cc:1202] OP_REQUIRES failed at topk_op.cc:92 : Internal: Could not launch TopKKernel: invalid configuration argument. Traceback (most recent call last): File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1361, in _do_call return fn(*args) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1340, in _run_fn target_list, status, run_metadata) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 516, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InternalError: Could not launch TopKKernel: invalid configuration argument. [[Node: TopKV2 = TopKV2[T=DT_FLOAT, sorted=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Neg, TopKV2/k)]] [[Node: ortho_weights_update/_1413 = _Recv[_start_time=0, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_602_ortho_weights_update", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:/pycharm project/SpectralNet-master - 副本/src/applications/run.py", line 206, in x_spectralnet, y_spectralnet = run_net(data, params) File "D:\pycharm project\SpectralNet-master - 副本\src\applications\spectralnet.py", line 95, in run_net params['spec_ne']) File "D:\pycharm project\SpectralNet-master - 副本\src\core\networks.py", line 166, in train batches_per_epoch=100)[0] File "D:\pycharm project\SpectralNet-master - 副本\src\core\train.py", line 92, in train_step returnvars += np.asarray(K.get_session().run(all_vars, feed_dict=feed_dict)[:len(return_var)]) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 905, in run run_metadata_ptr) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1137, in _run feed_dict_tensor, options, run_metadata) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1355, in _do_run options, run_metadata) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1374, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InternalError: Could not launch TopKKernel: invalid configuration argument. [[Node: TopKV2 = TopKV2[T=DT_FLOAT, sorted=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Neg, TopKV2/k)]] [[Node: ortho_weights_update/_1413 = _Recv[_start_time=0, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_602_ortho_weights_update", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'TopKV2', defined at: File "D:/pycharm project/SpectralNet-master - 副本/src/applications/run.py", line 206, in x_spectralnet, y_spectralnet = run_net(data, params) File "D:\pycharm project\SpectralNet-master - 副本\src\applications\spectralnet.py", line 90, in run_net params['n_nbrs'], batch_sizes, siamese_net, x_train, len(x_train_labeled)) File "D:\pycharm project\SpectralNet-master - 副本\src\core\networks.py", line 112, in init W = costs.knn_affinity(input_affinity, n_nbrs, scale=scale, scale_nbr=scale_nbr) File "D:\pycharm project\SpectralNet-master - 副本\src\core\costs.py", line 62, in knn_affinity nn = tf.nn.top_k(-Dx, n_nbrs, sorted=True) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 2308, in top_k return gen_nn_ops._top_kv2(input, k=k, sorted=sorted, name=name) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 5438, in _top_kv2 "TopKV2", input=input, k=k, sorted=sorted, name=name) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3271, in create_op op_def=op_def) File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1650, in init self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InternalError (see above for traceback): Could not launch TopKKernel: invalid configuration argument. [[Node: TopKV2 = TopKV2[T=DT_FLOAT, sorted=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Neg, TopKV2/k)]] [[Node: ortho_weights_update/_1413 = _Recv[_start_time=0, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_602_ortho_weights_update", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

[harukou]

Hey, Can you tell me your tensorflow version? I can not repeat the program when using mnist dataset.

[lihenryhfl]

Which tensorflow version are both of you using? I have tested it to work up to tf1.13

[harukou]

Which tensorflow version are both of you using? I have tested it to work up to tf1.13

Thanks for replying. My tensorflow is v1.13.1. This is my re-install version and it worked. The version I have used is also v1.13.1 but it never worked. So, it is the problem of tensorflow.

[pennywei]

Which tensorflow version are both of you using? I have tested it to work up to tf1.13

Thanks for replying.My tf is v1.6.0. mnist dataset run successfully, but the problem arose when I run my own dataset