NotFoundError - Githubissues

Hi, thanks for sharing! I am currently trying to run your code on my machine. when I run command line "python main_test.py", there are some problems, The following is the output, is there something wrong with my settings?

~/miniconda3/bin/VisemeNet_tensorflow$ python main_test.py Warning: dir data/csv/visemenet_intro/ already exist! Continue program... Warning: dir data/csv/visemenet_intro/test/ already exist! Continue program...

==================== Processing file data/test_audio/visemenet_intro.wav ==================== FPS: 25 WARNING:root:frame length (1103) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid. WARNING:root:frame length (1103) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid. WARNING:root:frame length (1103) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid. Load #Clip 0/1, wav (1484, 65) Save test - wav file as shape of (1484, 24) WARNING:tensorflow:From /home/wangqianyun/miniconda3/bin/VisemeNet_tensorflow/src/model.py:210: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version. Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

WARNING:tensorflow:From /home/wangqianyun/miniconda3/bin/VisemeNet_tensorflow/src/model.py:210: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version. Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

2019-03-24 13:31:42.031331: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-03-24 13:31:42.095617: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2019-03-24 13:31:42.096053: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: name: GeForce GTX TITAN X major: 5 minor: 2 memoryClockRate(GHz): 1.076 pciBusID: 0000:02:00.0 totalMemory: 11.92GiB freeMemory: 6.68GiB 2019-03-24 13:31:42.152892: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2019-03-24 13:31:42.153334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 1 with properties: name: Tesla K40c major: 3 minor: 5 memoryClockRate(GHz): 0.745 pciBusID: 0000:01:00.0 totalMemory: 11.17GiB freeMemory: 11.08GiB 2019-03-24 13:31:42.153356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0, 1 2019-03-24 13:31:42.783123: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-03-24 13:31:42.783155: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929] 0 1 2019-03-24 13:31:42.783161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0: N N 2019-03-24 13:31:42.783165: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 1: N N 2019-03-24 13:31:42.783471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6445 MB memory) -> physical GPU (device: 0, name: GeForce GTX TITAN X, pci bus id: 0000:02:00.0, compute capability: 5.2) 2019-03-24 13:31:42.783899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10741 MB memory) -> physical GPU (device: 1, name: Tesla K40c, pci bus id: 0000:01:00.0, compute capability: 3.5) Warning: dir data/output_viseme/ already exist! Continue program... 2019-03-24 13:31:43.193457: W tensorflow/core/framework/op_kernel.cc:1318] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key net1_rnn/multi_rnn_cell/cell_0/lstm_cell/bias not found in checkpoint Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1322, in _do_call return fn(*args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1307, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.NotFoundError: Key net1_rnn/multi_rnn_cell/cell_0/lstm_cell/bias 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 = _Recv[client_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"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "main_test.py", line 14, in test(model_name='pretrain_biwi', test_audio_name=test_audio_name[:-4]) File "/home/wangqianyun/miniconda3/bin/VisemeNet_tensorflow/src/train_visemenet.py", line 33, in test saver.restore(sess, OLD_CHECKPOINT_FILE) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1802, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 900, in run run_metadata_ptr) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1135, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1316, in _do_run run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1335, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.NotFoundError: Key net1_rnn/multi_rnn_cell/cell_0/lstm_cell/bias 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 = _Recv[client_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 'save/RestoreV2', defined at: File "main_test.py", line 14, in test(model_name='pretrain_biwi', test_audio_name=test_audio_name[:-4]) File "/home/wangqianyun/miniconda3/bin/VisemeNet_tensorflow/src/train_visemenet.py", line 25, in test saver = tf.train.Saver(max_to_keep=max_to_keep) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1338, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1347, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1384, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 835, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 472, in _AddRestoreOps restore_sequentially) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 886, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File "/usr/local/lib/python3.5/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/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3392, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1718, in init self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Key net1_rnn/multi_rnn_cell/cell_0/lstm_cell/bias 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 = _Recv[client_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"]()]]

yzhou359 / VisemeNet_tensorflow

NotFoundError #5