Lukas Martak lmartak
lmartak
/ mag-issue-26.txt
Created
March 20, 2018 18:40
AI Jam JS issue 26 - no response in interaction
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| $ sh RUN_DEMO.sh | |
| File http://download.magenta.tensorflow.org/models/attention_rnn.mag already present | |
| File http://download.magenta.tensorflow.org/models/performance.mag already present | |
| File http://download.magenta.tensorflow.org/models/pianoroll_rnn_nade.mag already present | |
| File http://download.magenta.tensorflow.org/models/drum_kit_rnn.mag already present | |
| * Running on http://127.0.0.1:8080/ (Press CTRL+C to quit) | |
| WARNING:tensorflow:No input port specified. Capture disabled. | |
| INFO:tensorflow:Opening 'magenta_in' as a virtual MIDI port for output. | |
| 2018-03-20 19:35:38.449718: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA | |
| 2018-03-20 19:35:38.484895: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA |
lmartak
/ terminal_executions.log
Created
March 12, 2017 01:42
Full magenta polyphony_rnn_train error output and stack trace, including previous steps of dataset generation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Creating NoteSequences | |
| INPUT_DIRECTORY="/home/lukas/work/aiexperiments/magenta/jazzdata/" | |
| SEQUENCES_TFRECORD=/home/lukas/work/aiexperiments/magenta/jazzdata.tfrecord | |
| convert_dir_to_note_sequences \ | |
| > --input_dir=$INPUT_DIRECTORY \ | |
| > --output_file=$SEQUENCES_TFRECORD \ | |
| > --recursive | |
| I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally |