Error when trying to generate samples with my own weights (MusicVAE)

(base) ales-MacBook-Pro:Desktop ale$ sudo music_vae_generate --config=cat-mel_2bar_big --checkpoint_file=\midis\train\model.ckpt-60.data-00000-of-00001 --mode=sample --num_outputs=5 --output_dir=/midis

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

INFO:tensorflow:Loading model… I0528 17:36:45.572510 4609672640 music_vae_generate.py:148] Loading model… INFO:tensorflow:Building MusicVAE model with BidirectionalLstmEncoder, CategoricalLstmDecoder, and hparams: {‘max_seq_len’: 32, ‘z_size’: 512, ‘free_bits’: 0, ‘max_beta’: 0.5, ‘beta_rate’: 0.99999, ‘batch_size’: 5, ‘grad_clip’: 1.0, ‘clip_mode’: ‘global_norm’, ‘grad_norm_clip_to_zero’: 10000, ‘learning_rate’: 0.001, ‘decay_rate’: 0.9999, ‘min_learning_rate’: 1e-05, ‘conditional’: True, ‘dec_rnn_size’: [2048, 2048, 2048], ‘enc_rnn_size’: [2048], ‘dropout_keep_prob’: 1.0, ‘sampling_schedule’: ‘inverse_sigmoid’, ‘sampling_rate’: 1000, ‘use_cudnn’: False, ‘residual_encoder’: False, ‘residual_decoder’: False} I0528 17:36:45.574896 4609672640 base_model.py:158] Building MusicVAE model with BidirectionalLstmEncoder, CategoricalLstmDecoder, and hparams: {‘max_seq_len’: 32, ‘z_size’: 512, ‘free_bits’: 0, ‘max_beta’: 0.5, ‘beta_rate’: 0.99999, ‘batch_size’: 5, ‘grad_clip’: 1.0, ‘clip_mode’: ‘global_norm’, ‘grad_norm_clip_to_zero’: 10000, ‘learning_rate’: 0.001, ‘decay_rate’: 0.9999, ‘min_learning_rate’: 1e-05, ‘conditional’: True, ‘dec_rnn_size’: [2048, 2048, 2048], ‘enc_rnn_size’: [2048], ‘dropout_keep_prob’: 1.0, ‘sampling_schedule’: ‘inverse_sigmoid’, ‘sampling_rate’: 1000, ‘use_cudnn’: False, ‘residual_encoder’: False, ‘residual_decoder’: False} WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. W0528 17:36:45.588173 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. INFO:tensorflow: Encoder Cells (bidirectional): units: [2048]

I0528 17:36:45.592164 4609672640 lstm_models.py:102] Encoder Cells (bidirectional): units: [2048]

WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:44: MultiRNNCell.init (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version. Instructions for updating: This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0. W0528 17:36:45.598289 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:44: MultiRNNCell.init (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version. Instructions for updating: This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0. INFO:tensorflow: Decoder Cells: units: [2048, 2048, 2048]

I0528 17:36:45.610680 4609672640 lstm_models.py:293] Decoder Cells: units: [2048, 2048, 2048]

WARNING:tensorflow:Setting non-training sampling schedule from inverse_sigmoid:1000.000000 to constant:1.0. W0528 17:36:45.613170 4609672640 lstm_utils.py:201] Setting non-training sampling schedule from inverse_sigmoid:1000.000000 to constant:1.0. WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:207: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. W0528 17:36:45.613519 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:207: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:161: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dense instead. W0528 17:36:45.741767 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/lstm_utils.py:161: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dense instead. WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_probability/python/distributions/onehot_categorical.py:172: multinomial (from tensorflow.python.ops.random_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.random.categorical instead. W0528 17:36:46.192772 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_probability/python/distributions/onehot_categorical.py:172: multinomial (from tensorflow.python.ops.random_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.random.categorical instead. WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/contrib/rnn/python/ops/rnn.py:233: bidirectional_dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.Bidirectional(keras.layers.RNN(cell)), which is equivalent to this API W0528 17:36:46.378690 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/contrib/rnn/python/ops/rnn.py:233: bidirectional_dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.Bidirectional(keras.layers.RNN(cell)), which is equivalent to this API WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/ops/rnn.py:443: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.RNN(cell), which is equivalent to this API W0528 17:36:46.379512 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/ops/rnn.py:443: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.RNN(cell), which is equivalent to this API WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/ops/rnn.py:626: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. W0528 17:36:46.390941 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/ops/rnn.py:626: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. 2019-05-28 17:36:47.313100: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. W0528 17:36:47.395946 4609672640 deprecation.py:323] From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. Traceback (most recent call last): File “/Library/Frameworks/Python.framework/Versions/3.7/bin/music_vae_generate”, line 11, in <module> sys.exit(console_entry_point()) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/music_vae_generate.py”, line 191, in console_entry_point tf.app.run(main) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/platform/app.py”, line 125, in run _sys.exit(main(argv)) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/music_vae_generate.py”, line 187, in main run(configs.CONFIG_MAP) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/music_vae_generate.py”, line 156, in run checkpoint_dir_or_path=checkpoint_dir_or_path) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/magenta/models/music_vae/trained_model.py”, line 137, in init saver.restore(self._sess, checkpoint_path) File “/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/training/saver.py”, line 1268, in restore + compat.as_text(save_path)) ValueError: The passed save_path is not a valid checkpoint: midistrainmodel.ckpt-60.data-00000-of-00001 (base) ales-MacBook-Pro:Desktop ale$

[adarob]

assuming ls /midis/train/model.ckpt-64* returns the 3 checkpoint files, you should be doing --checkpoint_file=/midis/train/model.ckpt-64. You should alternatively be able to just set --run_dir to the same value you used during training.

[adarob]

is that path correct? your slashes may be backwards