andabi / deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow
MIT License
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seems to be stuck on train1 #32

Closed 0i0 closed 6 years ago

0i0 commented 6 years ago

it is stuck like this:

python3 train1.py default /usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype fromfloattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters WARNING:tensorflow:From /home/lior/src/aws/deep-voice-conversion/models.py:80: arg_max (from tensorflow.python.ops.gen_math_ops) is deprecated and will be removed in a future version. Instructions for updating: Useargmaxinstead 2018-03-29 10:13:50.781241: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2018-03-29 10:13:50.891021: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2018-03-29 10:13:50.891337: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: name: GeForce GTX 1060 major: 6 minor: 1 memoryClockRate(GHz): 1.6705 pciBusID: 0000:01:00.0 totalMemory: 5.93GiB freeMemory: 5.13GiB 2018-03-29 10:13:50.891350: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0, compute capability: 6.1) 10:13:52 - starting epoch:1 of 1000 0%| | 0/144 [00:00<?, ?b/s]step 0

am i doing something wrong?

0i0 commented 6 years ago

working with queue=False in train1.py