Hi all, When running dm-tensorflow-example I am getting the following error: ``` STDOUT: Mon Oct 24 06:47:20 2016 STDOUT: +------------------------------------------------------+ STDOUT: | NVIDIA-SMI 352.99 Driver Version: 352.99 | STDOUT: |-------------------------------+----------------------+----------------------+ STDOUT: | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | STDOUT: | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | STDOUT: |===============================+======================+======================| STDOUT: | 0 Tesla K80 Off | 0000:87:00.0 Off | 0 | STDOUT: | N/A 31C P8 26W / 149W | 55MiB / 11519MiB | 0% Default | STDOUT: +-------------------------------+----------------------+----------------------+ STDOUT: | 1 Tesla K80 Off | 0000:88:00.0 Off | 0 | STDOUT: | N/A 31C P8 28W / 149W | 55MiB / 11519MiB | 0% Default | STDOUT: +-------------------------------+----------------------+----------------------+ STDOUT: STDOUT: +-----------------------------------------------------------------------------+ STDOUT: | Processes: GPU Memory | STDOUT: | GPU PID Type Process name Usage | STDOUT: |=============================================================================| STDOUT: | No running processes found | STDOUT: +-----------------------------------------------------------------------------+ STDERR: Python 2.7.6 STDOUT: --- STDOUT: Metadata-Version: 2.0 STDOUT: Name: tensorflow STDOUT: Version: 0.9.0 STDOUT: Summary: TensorFlow helps the tensors flow STDOUT: Home-page: http://tensorflow.org/ STDOUT: Author: Google Inc. STDOUT: Author-email: opensource@google.com STDOUT: Installer: pip STDOUT: License: Apache 2.0 STDOUT: Location: /usr/local/lib/python2.7/dist-packages STDOUT: Requires: numpy, six, wheel, protobuf STDOUT: Classifiers: STDOUT: Development Status :: 4 - Beta STDOUT: Intended Audience :: Developers STDOUT: Intended Audience :: Education STDOUT: Intended Audience :: Science/Research STDOUT: License :: OSI Approved :: Apache Software License STDOUT: Programming Language :: Python :: 2.7 STDOUT: Topic :: Scientific/Engineering :: Mathematics STDOUT: Topic :: Software Development :: Libraries :: Python Modules STDOUT: Topic :: Software Development :: Libraries STDOUT: Entry-points: STDOUT: [console_scripts] STDOUT: tensorboard = tensorflow.tensorboard.tensorboard:main STDERR: /usr/local/lib/python2.7/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. STDERR: "This module will be removed in 0.20.", DeprecationWarning) STDERR: I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally STDERR: I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally STDERR: I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally STDERR: I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally STDERR: I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally STDOUT: hdf5 not supported (please install/reinstall h5py) STDOUT: Parsing the csv's. STDERR: Traceback (most recent call last): STDERR: File "DREAM_DM_starter_tf.py", line 700, in STDERR: main(sys.argv) STDERR: File "DREAM_DM_starter_tf.py", line 689, in main STDERR: X_tr, X_te, Y_tr, Y_te = create_data_splits(path_csv_crosswalk, path_csv_metadata) STDERR: File "DREAM_DM_starter_tf.py", line 89, in create_data_splits STDERR: dict_tuple_to_cancer[(row[0].strip(), 'L')] = int(row[3]) STDERR: ValueError: invalid literal for int() with base 10: '.' ``` Any thoughts? Thanks

Created by Michael Kawczynski MichaelK
Hmmm, It seems like there is an issue with how the code is parsing the actual metadata .tsv file. I'd print out the full .tsv file to see if at any of the binary 0/1 points, what we see is a '.' rather than a '0' or '1'. I've encountered this error before, but I didn't encounter it on the newer submission queues... - Darvin

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