Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. #37
Using TensorFlow backend.
/usr/lib/python2.7/site-packages/h5py/__init__.py:34: 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
WARNING: Logging before flag parsing goes to stderr.
W0724 03:39:50.798191 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:310: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
W0724 03:39:50.807167 139764758083456 deprecation.py:506] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:619: calling __init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
W0724 03:39:53.131911 139764758083456 deprecation.py:506] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:480: calling __init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
Loading model from epoch: 144
W0724 03:39:53.568438 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:106: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
W0724 03:39:53.568799 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:111: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
W0724 03:39:53.569037 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:116: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2019-07-24 03:39:53.569346: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-07-24 03:39:53.574141: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz
2019-07-24 03:39:53.574383: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x28812c0 executing computations on platform Host. Devices:
2019-07-24 03:39:53.574417: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
W0724 03:39:53.574882 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py:258: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
2019-07-24 03:39:53.858215: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
W0724 03:39:54.107969 139764758083456 deprecation_wrapper.py:119] From /usr/lib/python2.7/site-packages/keras/optimizers.py:610: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.
Performing inference..
Running
main.py
with arguments!THEANO_FLAGS=optimizer=fast_compile,device=gpu python /content/speech-denoising-wavenet/main.py --mode inference --config /content/speech-denoising-wavenet/sessions/001/config.json --noisy_input_path /content/speech-denoising-wavenet/data/NSDTSEA/noisy_testset_wav --clean_input_path /content/speech-denoising-wavenet/data/NSDTSEA/clean_testset_wav
The script then stops.