我正在尝试在一组 hi hat MIDI 模式和运行时训练洋红色模型
drums_rnn_train --config='one_drum' --run_dir=/tmp/drums_rnn/logdir/run2 --sequence_example_file=/tmp/drums_rnn/sequence_examples/training_drum_tracks.tfrecord --hparams="batch_size=32,rnn_layer_sizes=[32,32]" --num_training_steps=1000
在一堆弃用警告之后，我看到了以下日志。
I1003 13:21:29.452953 4436757952 events_rnn_train.py:103] Starting training loop...
I1003 13:21:29.453077 4436757952 basic_session_run_hooks.py:546] Create CheckpointSaverHook.
W1003 13:21:29.549679 4436757952 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
I1003 13:21:29.589996 4436757952 monitored_session.py:246] Graph was finalized.
2020-10-03 13:21:29.590419: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-10-03 13:21:29.609557: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fd08e7ae700 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-10-03 13:21:29.609573: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
I1003 13:21:29.672456 4436757952 session_manager.py:505] Running local_init_op.
I1003 13:21:29.678084 4436757952 session_manager.py:508] Done running local_init_op.
W1003 13:21:29.695948 4436757952 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/training/monitored_session.py:906: start_queue_runners (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
I1003 13:21:30.106312 4436757952 basic_session_run_hooks.py:614] Calling checkpoint listeners before saving checkpoint 0...
I1003 13:21:30.106546 4436757952 basic_session_run_hooks.py:618] Saving checkpoints for 0 into ./tmp/drums_rnn/logdir/run5/train/model.ckpt.
I1003 13:21:30.187100 4436757952 basic_session_run_hooks.py:626] Calling checkpoint listeners after saving checkpoint 0...
该模型仍然停留在第一个“保存后调用检查点侦听器”行上。我已经验证这不是性能问题，因为我可以轻松地使用更大的批量来训练模型来处理复调旋律。有没有人见过这样的问题？这可能是因为 Magenta 依赖于旧版本的 Tensorflow 吗？