My setup is tensorflow 1.8.0, cuda 9.0. python3.5.
I'm getting this error:
WARNING:tensorflow:From /work/wada/nsynth_wavenet/wavenet/masked.py:420: Uniform
UnitScaling.init (from tensorflow.python.ops.init_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.initializers.variance_scaling instead with distribution=uniform to get equivalent behavior.
INFO:tensorflow:using config form config_jsons/wavenet_mol.json
INFO:tensorflow:Saving to logdir/ns_wn-n_MU-WN-TS-n_IN-n_DO-tanh-MOL-09_12
WARNING:tensorflow:From /work/wada/nsynth_wavenet/wavenet/masked.py:127: calling reduce_sum (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
WARNING:tensorflow:From /work/wada/nsynth_wavenet/wavenet/loss_func.py:10: calling reduce_max (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
Traceback (most recent call last):
File "train_wavenet.py", line 188, in
train(args)
File "train_wavenet.py", line 153, in train
data_dep_init_fn = _data_dep_init()
File "train_wavenet.py", line 60, in _data_dep_init
wn.train_path, batch_size=args.total_batch_size, seq_len=wn.wave_length)
File "/work/wada/nsynth_wavenet/auxilaries/reader.py", line 123, in get_init_batch
first_n_serialized_example.append(serialized_examples.next())
StopIteration
python3 -u train_wavenet.py \ --config config_jsons/wavenet_mol.json \ --train_path data/train/TFR \ --log_root logdir \
My setup is tensorflow 1.8.0, cuda 9.0. python3.5.
I'm getting this error: