IBM / BAGAN

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.
Eclipse Public License 1.0
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After run ./run.sh, No any output #4

Closed zychen2016 closed 5 years ago

zychen2016 commented 5 years ago

/usr/local/lib/python3.5/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters Using TensorFlow backend. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version. Instructions for updating: Use the retry module or similar alternatives. Executing BAGAN. read input data... WARNING:tensorflow:From /data2/CZY/data/bagan/BAGAN/rw/batch_generator_mnist.py:23: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use alternatives such as official/mnist/dataset.py from tensorflow/models. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version. Instructions for updating: Please write your own downloading logic. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use tf.data to implement this functionality. Extracting dataset/mnist/train-images-idx3-ubyte.gz WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use tf.data to implement this functionality. Extracting dataset/mnist/train-labels-idx1-ubyte.gz Extracting dataset/mnist/t10k-images-idx3-ubyte.gz Extracting dataset/mnist/t10k-labels-idx1-ubyte.gz WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.init (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use alternatives such as official/mnist/dataset.py from tensorflow/models. Extracting dataset/mnist/train-images-idx3-ubyte.gz Extracting dataset/mnist/train-labels-idx1-ubyte.gz Extracting dataset/mnist/t10k-images-idx3-ubyte.gz Extracting dataset/mnist/t10k-labels-idx1-ubyte.gz input data loaded... Extracting dataset/mnist/train-images-idx3-ubyte.gz Extracting dataset/mnist/train-labels-idx1-ubyte.gz Extracting dataset/mnist/t10k-images-idx3-ubyte.gz Extracting dataset/mnist/t10k-labels-idx1-ubyte.gz Required GAN for class 0 Class counters: [309, 6179, 5470, 5638, 5307, 4987, 5417, 5715, 5389, 5454] WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py:1290: calling reduce_mean (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 /usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py:1205: calling reduce_prod (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 uratio set to: [0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1] dratio set to: [0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1] gratio set to: [0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1] BAGAN init_autoenc BAGAN: training autoencoder 2019-01-09 13:45:09.014380: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-01-09 13:45:11.457403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582 pciBusID: 0000:03:00.0 totalMemory: 10.91GiB freeMemory: 10.75GiB 2019-01-09 13:45:11.457487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0 2019-01-09 13:45:11.812727: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-01-09 13:45:11.812780: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 2019-01-09 13:45:11.812793: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N 2019-01-09 13:45:11.814107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10409 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0, compute capability: 6.1)

Just waiting?