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deployed models yaml
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@@ -88,7 +88,7 @@ spec:
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# The following image runs a rudimentary Arbapet engine, but doesn't
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# handle puncutation and tokenization
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#image: docker.pkg.github.com/ml-applications/voder/tts-service:6e766720ca7d
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image: docker.pkg.github.com/ml-applications/voder/tts-service:805bad97c311
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image: docker.pkg.github.com/ml-applications/voder/tts-service:6b89620b3c3b
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volumeMounts:
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- name: mntdatas3fs
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mountPath: /data:shared
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@@ -0,0 +1,103 @@
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# --------------- Tacotron ---------------
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# TODO: Get a high-quality LJS Tacotron
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-02-06_ckpt30000.jit"
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description = "First Trump txlearn with Arpabet. Trained 30k iters and sounds great!"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt7000.jit"
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description = "Trump txlearn with Arpabet 2020-05-14"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt11500.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt17000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000-18000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt53500.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_chkpt112500.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt8000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt13000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt2000.jit"
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description = "Trump txlearn with Arpabet 2020-05-24; adds 400 new training files from steno"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt16000.jit"
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description = "(see previous)"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt7000.jit"
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description = "Trump txlearn with Arpabet 2020-05-25; adds lots from steno, disabled one bad quality source"
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[[tacotron]]
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file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt17000.jit"
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description = "(see previous)"
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# ======== OLDER RUNS ======
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[[tacotron]]
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# OLD NAME, perhaps I can get the epoch: file_path = "/data/models/tacotron2-nvidia/tacotron_arpabet_1.pt"
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file_path = "/data/models/tacotron2-nvidia/tacotron2_ljs_high_pitch_arpabet_2020-03-28.jit"
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description = "High-quality high-pitched LJS; arpabet encodings."
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# [[tacotron]]
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# # TODO: Remove. This blows up.
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# file_path = "/data/models/tacotron2-nvidia/tacotron_container.pt"
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# description = "Unknown (broken)"
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#
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# [[tacotron]]
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# # TODO: Remove. This hangs forever.
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# file_path = "/data/models/tacotron2-nvidia/tacotron_jit_model_voder_c0cac635.pt"
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# description = "Unknown (broken)"
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# ---------------- Melgan ----------------
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# TODO: Get a high-quality LJS Melgan
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[[melgan]]
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file_path = "/data/models/melgan-swpark/melgan_trump-txlearn-2020.05.05_7525.jit"
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description = "Latest LJS transfer learned Trump."
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[[melgan]]
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file_path = "/data/models/melgan-swpark/melgan_trump-txlearn-2020.05.05_13675.jit"
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description = "Latest LJS transfer learned Trump."
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[[melgan]]
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file_path = "/data/models/melgan-swpark/melgan_ljs-high-pitch_container.pt"
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description = "High-pitched LJS"
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[[melgan]]
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file_path = "/data/models/melgan-swpark/shared_melgan_container-2020.01.04.pt"
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description = "Unknown"
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[[melgan]]
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file_path = "/data/models/melgan-swpark/shared_melgan_container-2020.01.05.pt"
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description = "Unknown"
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