mirror of
https://github.com/storytold/torchscript-models.git
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garbage uncommitted changes that will obscure next change
This commit is contained in:
Brandon Thomas
@@ -18,6 +18,11 @@ Tracing evaluates the codepath with example data, fixing the branches taken.
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The two techniques can be combined in the various nodes in the module tree.
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The two techniques can be combined in the various nodes in the module tree.
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Interesting finding
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-------------------
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In tracing, the length of the example data matters and can affect runtime. If it isn't
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long enough, the JIT at eval time (eg. embedded in Rust) can crash on long text.
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Porting guide
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Porting guide
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-------------
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-------------
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Here are some quick learnings on how to port models so that they work as TorchScript.
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Here are some quick learnings on how to port models so that they work as TorchScript.
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@@ -49,7 +49,7 @@
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"hidden_channels_enc": 192,
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"hidden_channels_enc": 192,
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"hidden_channels_dec": 192,
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"hidden_channels_dec": 192,
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"window_size": 4,
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"window_size": 4,
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"n_speakers": 64,
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"n_speakers": 8,
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"gin_channels": 256
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"gin_channels": 256
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}
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}
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}
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}
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@@ -50,14 +50,74 @@ def load(model_checkpoint_path):
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#model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/pretrained.pth'
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#model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/pretrained.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_998.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_998.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1063.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1086.pth'
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# Training *EXPENSIVE* LJS base model on LambdaLabs Tesla GPU
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_135.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_336.pth'
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# NB: Had to adjust num_speakers from 64 to 8
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_44.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_142.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_264.pth'
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# Transfer learn from dense 8-speaker LJS base
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_309.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_325.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_337.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_541.pth'
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# Transfer learning, but with less dense LJS (1000sec total across 4 channels)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_596.pth' # All channels taking on speaker character
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_607.pth' # Same, but better fit + enunciated words
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_757.pth' # Trump great, but dominates other speakers
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_845.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_929.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1112.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1204.pth'
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# Removed 75% of trump training data to make speakers more equal (started from 583)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_604.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_619.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_640.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_854.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1027.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1227.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1319.pth'
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# Restart from 1000, with more data for speakers + ronald reagan
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1048.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1153.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_1802.pth' # These spectrograms are amazing
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_2458.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_2898.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_3208.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_4244.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_4817.pth' # Run5: I just started "run 5", so maybe it went bad
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_4815.pth' # SAVE THIS. Run4: Last of "run 4" (best sound so far)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_5092.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_5634.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_6045.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_6590.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_6805.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-multispeaker/G_7351.pth'
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# This experiment is over.
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut-8speaker-256gin/glow_tts_multispeaker_8-speaker_256-gin_ljs_txlearn_2020.06.19_experiment-5_chkpt-7466.pth'
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hps, glow_model = load(model_checkpoint_path)
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hps, glow_model = load(model_checkpoint_path)
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output_filename = 'glow_multispeaker.torchjit'
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output_filename = 'glow_multispeaker.torchjit'
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output_filename = 'glow_ljs_base.torchjit'
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output_filename = 'glow_ljs_base_dense.torchjit'
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output_filename = 'glow_ljs_base_dense2.torchjit'
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output_filename = 'glow_ljs_base_dense3.torchjit'
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output_filename = 'glow_ljs_multispeaker_1.torchjit'
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output_filename = 'glow_tts_multispeaker_8-speaker_256-gin_ljs_txlearn_2020.06.19_experiment-5_chkpt-7466.torchjit'
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cmu_dict = cmudict.CMUDict(hps.data.cmudict_path)
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cmu_dict = cmudict.CMUDict(hps.data.cmudict_path)
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tst_stn = "This is a test of the machine learning model. How does this sound?"
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tst_stn = "This is a test of the machine learning model. How does this sound? I wonder if the length of this text has any importance whatsoever in the model evaluation. Perhaps it does. Perhaps not. Who knows?"
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seq = text_to_sequence(tst_stn, ['english_cleaners'], cmu_dict)
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seq = text_to_sequence(tst_stn, ['english_cleaners'], cmu_dict)
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sequence = np.array(seq)[None, :] # NB: None adds a new axis.
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sequence = np.array(seq)[None, :] # NB: None adds a new axis.
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print("".join([symbols[c] for c in sequence[0]]))
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print("".join([symbols[c] for c in sequence[0]]))
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@@ -48,36 +48,146 @@ def load(model_checkpoint_path):
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return (hps, model)
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return (hps, model)
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#model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/pretrained.pth'
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# John Oliver training started at G_845 (started at Jun22 23:44)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/glow_tts_ljs_txlearn_arpabet_2020-06-01_G_1689.pth'
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# Reportedly started sounding good at G_1189 (saved at Jun23 06:27)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/glow_tts_ljs_txlearn_arpabet_2020-06-01_G_2590.pth'
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# 344 epochs * 461 clips = 158,584 clip iterations (403 minutes of training)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/glow_tts_ljs_txlearn_arpabet_2020-06-01_G_3614.pth'
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# 344 epochs * 1968 seconds = 676,992 seconds iterated (403 minutes of training)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_891.pth' # Oh god, that's awful
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1168.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1189.pth' # Much better, but lots of room for improvement
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1652.pth' # Not much of an improvement (?)
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# Queen started training at G_1110. (started at Jun23 16:41)
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# Still sounds bad at G_1436. (saved at Jun24 00:27)
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# 326 epochs * 88 clips = 28,688 clip iterations (646 minutes of training)
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# 326 epochs * 372 seconds = 121,272 seconds (646 minutes of training)
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/queen/G_1185.pth' # Still sounds exactly like LJS
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/queen/G_1203.pth'
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#model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/glow-tts_samuel_l_jackson_ljstx_2020.07.05_expr-1_chkpt-2444.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_4682.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/old/G_2282.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-w-bush/G_1735.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/jimmy-carter/G_2391.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/jimmy-carter/glow-tts_jimmy_carter_ljstx_2020.07.05_expr-1_chkpt-2391.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-w-bush/G_1735.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bill-nye/glow-tts_bill_nye_ljstx_2020.07.07_expr-1_chkpt-2510.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/judi-dench/G_4693.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_4060.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tom-hanks/G_3686.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/james-earl-jones/G_2573.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_4481.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_6204.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_5029.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_5050.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_3606.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7151.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/james-earl-jones/G_2573.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_5558.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7657.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/G_2679.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_6808.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_6791.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_5337.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_5916.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_7425.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_7447.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_3812.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_3928.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_4925.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_5099.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_5128.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_5193.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_6838.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_6416.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_6341.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/glow-tts_tupac_shakur_ljstx_2020.07.16_expr-2_chkpt-6341.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_7792.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7680.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_7000.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_4000.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7680.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/neil-degrasse-tyson/glow-tts_neil_degrasse_tyson_ljstx_2020.07.05_expr-1_chkpt-2482.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_7795.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_7250.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_9462.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/james-earl-jones/G_2573.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_9450.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_6000.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_4000.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_6955.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/peter-thiel/G_4252.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/john-oliver/2nd/G_4262.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/john-oliver/2nd/G_5046.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/peter-thiel/G_5072.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_8449.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_8238.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/larry-king/G_3783.pth' # Not yet...
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/j-k-simmons/G_3763.pth'
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model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_6955.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_8449.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_9024.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_8778.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tom-hanks/G_3686.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_4060.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_2500.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_3000.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_2185.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-w-bush/G_1735.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/judi-dench/G_4693.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/judi-dench/G_3000.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_9462.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_7795.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/neil-degrasse-tyson/glow-tts_neil_degrasse_tyson_ljstx_2020.07.05_expr-1_chkpt-2482.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_7250.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/james-earl-jones/G_2573.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_9045.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7680.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/larry-king/G_4037.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/j-k-simmons/G_4017.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/john-oliver/2nd/G_5856.pth'
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/sam-altman/G_3654.pth' # Not quite
|
||||||
|
model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/leonard-nimoy/G_3614.pth'
|
||||||
|
|
||||||
hps, glow_model = load(model_checkpoint_path)
|
hps, glow_model = load(model_checkpoint_path)
|
||||||
output_filename = 'glow_tts_ljs_txlearn_arpabet_2020-06-01_G_2590.torchjit'
|
|
||||||
output_filename = 'glow_tts_ljs_txlearn_arpabet_2020-06-01_G_3614.torchjit'
|
#output_filename = 'glow-tts_solo_oliver_ljstx_2020.06.22_expr-1_chkpt-1189.torchjit'
|
||||||
|
#output_filename = 'glow-tts_solo_reagan_ljstx_2020.06.22_expr-1_chkpt-1084.torchjit'
|
||||||
|
#output_filename = 'glow-tts_solo_reagan_ljstx_2020.06.22_expr-1_chkpt-1406.torchjit'
|
||||||
|
output_filename = 'OUTPUT/craig_ferguson_new.torchjit'
|
||||||
|
output_filename = 'OUTPUT/glow-tts_neil_degrasse_tyson_ljstx_2020.07.05_expr-1_chkpt-2482.torchjit'
|
||||||
|
output_filename = 'OUTPUT/glow-tts_jimmy_carter_ljstx_2020.07.05_expr-1_chkpt-2391.torchjit'
|
||||||
|
output_filename = 'OUTPUT/glow-tts_bill_nye_ljstx_2020.07.07_expr-1_chkpt-2510.torchjit'
|
||||||
|
output_filename = 'OUTPUT/glow-tts_tupac_shakur_ljstx_2020.07.16_expr-2_chkpt-6341.torchjit'
|
||||||
|
output_filename = 'OUTPUT/arnold-a.torchjit'
|
||||||
|
output_filename = 'OUTPUT/arnold-b.torchjit'
|
||||||
|
output_filename = 'OUTPUT/arnold-c.torchjit'
|
||||||
|
output_filename = 'OUTPUT/glow_tts_single_speaker.torchjit'
|
||||||
|
|
||||||
|
|
||||||
cmu_dict = cmudict.CMUDict(hps.data.cmudict_path)
|
cmu_dict = cmudict.CMUDict(hps.data.cmudict_path)
|
||||||
|
|
||||||
tst_stn = "This is a test of the machine learning model. How does this sound?"
|
tst_stn = "This is a test of the machine learning model. How does this sound? This is some longer text to make sure long inputs work. It should be good."
|
||||||
seq = text_to_sequence(tst_stn, ['english_cleaners'], cmu_dict)
|
seq = text_to_sequence(tst_stn, ['english_cleaners'], cmu_dict)
|
||||||
sequence = np.array(seq)[None, :] # NB: None adds a new axis.
|
sequence = np.array(seq)[None, :] # NB: None adds a new axis.
|
||||||
print("".join([symbols[c] for c in sequence[0]]))
|
#print("".join([symbols[c] for c in sequence[0]]))
|
||||||
|
|
||||||
torched = torch.from_numpy(sequence)
|
torched = torch.from_numpy(sequence)
|
||||||
|
|
||||||
x_tst = torch.autograd.Variable(torched).long()
|
x_tst = torch.autograd.Variable(torched).long()
|
||||||
x_tst_lengths = torch.tensor([x_tst.shape[1]])
|
x_tst_lengths = torch.tensor([x_tst.shape[1]])
|
||||||
|
|
||||||
print('\n tst_stn', len(tst_stn), tst_stn)
|
#print('\n tst_stn', len(tst_stn), tst_stn)
|
||||||
print('\n seq', len(seq), seq)
|
#print('\n seq', len(seq), seq)
|
||||||
print('\n sequence', len(sequence), sequence.size, sequence)
|
#print('\n sequence', len(sequence), sequence.size, sequence)
|
||||||
print('\n torched', len(torched), torched.shape, torched)
|
#print('\n torched', len(torched), torched.shape, torched)
|
||||||
|
|
||||||
print('\n x_tst', len(x_tst), x_tst)
|
|
||||||
print('\n x_tst_lengths', len(x_tst_lengths), x_tst_lengths)
|
|
||||||
|
|
||||||
|
#print('\n x_tst', len(x_tst), x_tst)
|
||||||
|
#print('\n x_tst_lengths', len(x_tst_lengths), x_tst_lengths)
|
||||||
|
|
||||||
# NB: Tracing evaluates the model on input and unrolls and hardcodes branching
|
# NB: Tracing evaluates the model on input and unrolls and hardcodes branching
|
||||||
# and loops. Scripting allows these to remain by converting the entire program
|
# and loops. Scripting allows these to remain by converting the entire program
|
||||||
@@ -97,4 +207,7 @@ else:
|
|||||||
container = torch.jit.script(glow_model)
|
container = torch.jit.script(glow_model)
|
||||||
container.save(output_filename)
|
container.save(output_filename)
|
||||||
|
|
||||||
|
print('Input: {}'.format(model_checkpoint_path))
|
||||||
|
print('Output: {}'.format(output_filename))
|
||||||
|
print('Done.')
|
||||||
|
|
||||||
|
|||||||
@@ -15,6 +15,45 @@ model_checkpoint_path = '/home/bt/models/melgan-swpark/ljs-high-pitch_8741385_69
|
|||||||
model_checkpoint_path = '/home/bt/models/melgan-swpark/trump-txlearn-2020.05.05_8741385_7525.pt'
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/trump-txlearn-2020.05.05_8741385_7525.pt'
|
||||||
model_checkpoint_path = '/home/bt/models/melgan-swpark/trump-txlearn-2020.05.05_8741385_13675.pt'
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/trump-txlearn-2020.05.05_8741385_13675.pt'
|
||||||
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_trump_txlearn_2020-05-30_steno_chkpt9800.pt'
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_trump_txlearn_2020-05-30_steno_chkpt9800.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_multivoice-1.0_2020.06.15_12d5838_6275.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_multivoice-1.0_2020.06.15_12d5838_6300.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_multivoice-1.0_2020.06.15_12d5838_6475.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_multivoice-1.0_2020.06.15_12d5838_6725.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_6675.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_6900.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_7125.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_7400.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/vocodes1.0_12d5838_7900.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/vocodes1.0_12d5838_9025.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/steno1.5_12d5838_9225.pt' # ugh, forgot the naming scheme
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/steno1.5_12d5838_9475.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/steno1.5_12d5838_10275.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_12d5838_6300.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_12d5838_6410.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_12d5838_6590.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_2020-06-28_12d5838_6610.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_12d5838_6730.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_2020-06-28_12d5838_6730.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_2020-06-28_12d5838_7050.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_2020-06-28_12d5838_7940.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice1.0_2020-06-28_12d5838_8570.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_8640.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_8810.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_8880.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_8900.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_8940.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_9050.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice2.0_2020-07-08_12d5838_9330.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_9820.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_9860.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_9920.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_9950.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_9960.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_10050.pt'
|
||||||
|
model_checkpoint_path = '/home/bt/models/melgan-swpark/manyvoice3.0_2020-07-17_12d5838_10090.pt'
|
||||||
|
|
||||||
|
# renamed for posterity
|
||||||
|
#model_checkpoint_path = '/home/bt/models/melgan-swpark/melgan_vocodes1.0_multispeaker_2020.06.19_12d5838_experiment-2_chkpt-10400.pt'
|
||||||
|
|
||||||
melgan_model = load_melgan(model_checkpoint_path)
|
melgan_model = load_melgan(model_checkpoint_path)
|
||||||
|
|
||||||
@@ -23,6 +62,26 @@ melgan_model = load_melgan(model_checkpoint_path)
|
|||||||
output_filename = 'melgan_trump-txlearn-2020.05.05.jit'
|
output_filename = 'melgan_trump-txlearn-2020.05.05.jit'
|
||||||
output_filename = 'melgan_trump-txlearn-2020.05.05_13675.jit'
|
output_filename = 'melgan_trump-txlearn-2020.05.05_13675.jit'
|
||||||
output_filename = 'melgan_trump_txlearn_2020-05-30_steno_chkpt9800.torchjit'
|
output_filename = 'melgan_trump_txlearn_2020-05-30_steno_chkpt9800.torchjit'
|
||||||
|
output_filename = 'melgan_multivoice-1.0_2020.06.15_12d5838_6275.torchjit'
|
||||||
|
output_filename = 'melgan_multivoice-1.0_2020.06.15_12d5838_6300.torchjit'
|
||||||
|
output_filename = 'melgan_multivoice-1.0_2020.06.15_12d5838_6475.torchjit'
|
||||||
|
output_filename = 'melgan_multivoice-1.0_2020.06.15_12d5838_6725.torchjit'
|
||||||
|
output_filename = 'melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_6675.torchjit'
|
||||||
|
output_filename = 'melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_6900.torchjit'
|
||||||
|
output_filename = 'melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_7125.torchjit'
|
||||||
|
output_filename = 'melgan_vocodes1.0_multispeaker_2020_06_19_12d5838_7400.torchjit'
|
||||||
|
output_filename = 'melgan-vocodes.torchjit' # Stop renaming them for a bit
|
||||||
|
output_filename = 'melgan_vocodes1.0_multispeaker_2020.06.19_12d5838_experiment-2_chkpt-10400.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice1.0_2020-06-28_12d5838_6610.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice1.0_2020-06-28_12d5838_6730.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice1.0_2020-06-28_12d5838_7050.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice2.0_2020-07-08_12d5838_8940.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice2.0_2020-07-08_12d5838_9170.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice2.0_2020-07-08_12d5838_9330.torchjit'
|
||||||
|
output_filename = 'OUTPUT/manyvoice3.0_2020-07-17_12d5838_9920.torchjit'
|
||||||
|
output_filename = 'OUTPUT/melgan-vocodes.torchjit' # Stop renaming them for a bit
|
||||||
|
|
||||||
|
#output_filename = 'OUTPUT/melgan-vocodes.torchjit' # Stop renaming them for a bit
|
||||||
|
|
||||||
# NB: Tracing evaluates the model on input and unrolls and hardcodes branching
|
# NB: Tracing evaluates the model on input and unrolls and hardcodes branching
|
||||||
# and loops. Scripting allows these to remain by converting the entire program
|
# and loops. Scripting allows these to remain by converting the entire program
|
||||||
|
|||||||
Reference in New Issue
Block a user