magenta-gpu

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1.1.7 magenta_gpu-1.1.7-py2.py3-none-any.whl

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Project: magenta-gpu
Version: 1.1.7
Filename: magenta_gpu-1.1.7-py2.py3-none-any.whl
Download: [link]
Size: 1518545
MD5: 6be4a4819021ac5a598f0537216a1680
SHA256: 980e9aafb526289bc250b4153f68ccc7c61bcb49ab8d29471c250624ac84d574
Uploaded: 2019-10-02 18:41:10 +0000

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METADATA

Metadata-Version: 2.1
Name: magenta-gpu
Version: 1.1.7
Summary: Use machine learning to create art and music
Author: Google Inc.
Author-Email: magenta-discuss[at]gmail.com
Home-Page: https://magenta.tensorflow.org/
License: Apache 2
Keywords: tensorflow machine learning magenta music art
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: IPython
Requires-Dist: absl-py
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Requires-Dist: tensorflow-gpu (<2.0.0,>=1.14.0)
Requires-Dist: futures; python_version == "2.7"
Requires-Dist: apache-beam[gcp] (>=2.8.0); python_version == "2.7"
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WHEEL

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magenta/tensor2tensor/t2t_decoder.py sha256=T7hsGb2yjQZBT02FmaDlC7T4AnhF-5lEZAJgyq0A2zw 1130
magenta/tensor2tensor/t2t_trainer.py sha256=a1UNgaE5Jbk4-icTVxD69ewYbEKgiyXl0g8vDGp8xE8 1130
magenta/video/__init__.py sha256=k6F3cddRRAgEUWKFqbt765uwLr1TRFth5fCVfj4OjqU 585
magenta/video/tools/__init__.py sha256=k6F3cddRRAgEUWKFqbt765uwLr1TRFth5fCVfj4OjqU 585
magenta/video/tools/convert2jpg.py sha256=aE1jumAFmOt51iL6XSoXS_Qsx2OoPbd9HhknxZ9DiCA 3853
magenta/video/tools/extract_frames.py sha256=sITsqb9nplWJE9nOMTJ0ZCXNZi7z-0Qz_-c7lKBNEyQ 5003
magenta/video/tools/random_pick.py sha256=HSFnNp3U177Nh7QbN_SJP-6ST5czJYUknlb1lLJzSnY 2839
magenta_gpu-1.1.7.dist-info/METADATA sha256=oU9rXLGruaO9GObb0xYO09KVmBJthMvx4E-6rIrleRM 1883
magenta_gpu-1.1.7.dist-info/RECORD
magenta_gpu-1.1.7.dist-info/WHEEL sha256=gduuPyBvFJQSQ0zdyxF7k0zynDXbIbvg5ZBHoXum5uk 110
magenta_gpu-1.1.7.dist-info/entry_points.txt sha256=C6zDkueAWDXHPyBHZ2clEBa77wA5t6gxlaw126rX6hU 4744
magenta_gpu-1.1.7.dist-info/top_level.txt sha256=q-ydly4x2eioQ9I8tX3pFvNQn1OxBEIbeqRl0WIoqwg 8

top_level.txt

magenta

entry_points.txt

arbitrary_image_stylization_distill_mobilenet = magenta.models.arbitrary_image_stylization.arbitrary_image_stylization_distill_mobilenet:console_entry_point
arbitrary_image_stylization_evaluate = magenta.models.arbitrary_image_stylization.arbitrary_image_stylization_evaluate:console_entry_point
arbitrary_image_stylization_train = magenta.models.arbitrary_image_stylization.arbitrary_image_stylization_train:console_entry_point
arbitrary_image_stylization_with_weights = magenta.models.arbitrary_image_stylization.arbitrary_image_stylization_with_weights:console_entry_point
convert_dir_to_note_sequences = magenta.scripts.convert_dir_to_note_sequences:console_entry_point
drums_rnn_create_dataset = magenta.models.drums_rnn.drums_rnn_create_dataset:console_entry_point
drums_rnn_generate = magenta.models.drums_rnn.drums_rnn_generate:console_entry_point
drums_rnn_train = magenta.models.drums_rnn.drums_rnn_train:console_entry_point
gansynth_generate = magenta.models.gansynth.gansynth_generate:console_entry_point
gansynth_train = magenta.models.gansynth.gansynth_train:console_entry_point
image_stylization_create_dataset = magenta.models.image_stylization.image_stylization_create_dataset:console_entry_point
image_stylization_evaluate = magenta.models.image_stylization.image_stylization_evaluate:console_entry_point
image_stylization_finetune = magenta.models.image_stylization.image_stylization_finetune:console_entry_point
image_stylization_train = magenta.models.image_stylization.image_stylization_train:console_entry_point
image_stylization_transform = magenta.models.image_stylization.image_stylization_transform:console_entry_point
improv_rnn_create_dataset = magenta.models.improv_rnn.improv_rnn_create_dataset:console_entry_point
improv_rnn_generate = magenta.models.improv_rnn.improv_rnn_generate:console_entry_point
improv_rnn_train = magenta.models.improv_rnn.improv_rnn_train:console_entry_point
magenta_midi = magenta.interfaces.midi.magenta_midi:console_entry_point
melody_rnn_create_dataset = magenta.models.melody_rnn.melody_rnn_create_dataset:console_entry_point
melody_rnn_generate = magenta.models.melody_rnn.melody_rnn_generate:console_entry_point
melody_rnn_train = magenta.models.melody_rnn.melody_rnn_train:console_entry_point
midi_clock = magenta.interfaces.midi.midi_clock:console_entry_point
music_vae_generate = magenta.models.music_vae.music_vae_generate:console_entry_point
music_vae_train = magenta.models.music_vae.music_vae_train:console_entry_point
nsynth_generate = magenta.models.nsynth.wavenet.nsynth_generate:console_entry_point
nsynth_save_embeddings = magenta.models.nsynth.wavenet.nsynth_save_embeddings:console_entry_point
onsets_frames_transcription_create_dataset_maestro = magenta.models.onsets_frames_transcription.onsets_frames_transcription_create_dataset_maestro:console_entry_point
onsets_frames_transcription_create_dataset_maps = magenta.models.onsets_frames_transcription.onsets_frames_transcription_create_dataset_maps:console_entry_point
onsets_frames_transcription_infer = magenta.models.onsets_frames_transcription.onsets_frames_transcription_infer:console_entry_point
onsets_frames_transcription_train = magenta.models.onsets_frames_transcription.onsets_frames_transcription_train:console_entry_point
onsets_frames_transcription_transcribe = magenta.models.onsets_frames_transcription.onsets_frames_transcription_transcribe:console_entry_point
performance_rnn_create_dataset = magenta.models.performance_rnn.performance_rnn_create_dataset:console_entry_point
performance_rnn_generate = magenta.models.performance_rnn.performance_rnn_generate:console_entry_point
performance_rnn_train = magenta.models.performance_rnn.performance_rnn_train:console_entry_point
pianoroll_rnn_nade_create_dataset = magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_create_dataset:console_entry_point
pianoroll_rnn_nade_generate = magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_generate:console_entry_point
pianoroll_rnn_nade_train = magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_train:console_entry_point
polyphony_rnn_create_dataset = magenta.models.polyphony_rnn.polyphony_rnn_create_dataset:console_entry_point
polyphony_rnn_generate = magenta.models.polyphony_rnn.polyphony_rnn_generate:console_entry_point
polyphony_rnn_train = magenta.models.polyphony_rnn.polyphony_rnn_train:console_entry_point
rl_tuner_train = magenta.models.rl_tuner.rl_tuner_train:console_entry_point
sketch_rnn_train = magenta.models.sketch_rnn.sketch_rnn_train:console_entry_point
t2t_datagen = magenta.tensor2tensor.t2t_datagen:console_entry_point
t2t_decoder = magenta.tensor2tensor.t2t_decoder:console_entry_point
t2t_trainer = magenta.tensor2tensor.t2t_trainer:console_entry_point