#!/usr/bin/env python3 # From: https://github.com/pytorch/pytorch/issues/20356#issuecomment-545572400 import torch # Import glow-tts code import sys sys.path.append("./glow-tts") import utils import models import commons from text.symbols import symbols # Nvidia Apex #from apex import amp #from apex.parallel import DistributedDataParallel as DDP # Data import numpy as np from text import text_to_sequence, cmudict trace_model = False if sys.argv[1] == 'true': trace_model = True elif sys.argv[1] == 'false': trace_model = False else: raise Exception('Scripting or tracing?') torch.set_grad_enabled(False) def load(model_checkpoint_path): model_dir = "./logs/base/" hps = utils.get_hparams_from_dir(model_dir) print('Checkpoint path: {}'.format(model_checkpoint_path)) with torch.no_grad(): # NB(bt): This should fix the following: # RuntimeError: Cannot insert a Tensor that requires grad as a constant. model = models.FlowGenerator( len(symbols), out_channels=hps.data.n_mel_channels, **hps.model) #.to("cuda") utils.load_checkpoint(model_checkpoint_path, model) model.decoder.store_inverse() # do not calcuate jacobians for fast decoding _ = model.eval() return (hps, model) # John Oliver training started at G_845 (started at Jun22 23:44) # Reportedly started sounding good at G_1189 (saved at Jun23 06:27) # 344 epochs * 461 clips = 158,584 clip iterations (403 minutes of training) # 344 epochs * 1968 seconds = 676,992 seconds iterated (403 minutes of training) model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_891.pth' # Oh god, that's awful model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1168.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1189.pth' # Much better, but lots of room for improvement model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/oliver/G_1652.pth' # Not much of an improvement (?) # Queen started training at G_1110. (started at Jun23 16:41) # Still sounds bad at G_1436. (saved at Jun24 00:27) # 326 epochs * 88 clips = 28,688 clip iterations (646 minutes of training) # 326 epochs * 372 seconds = 121,272 seconds (646 minutes of training) model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/queen/G_1185.pth' # Still sounds exactly like LJS model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/queen/G_1203.pth' #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' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_4682.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/old/G_2282.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/jimmy-carter/G_2391.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/jimmy-carter/glow-tts_jimmy_carter_ljstx_2020.07.05_expr-1_chkpt-2391.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/bill-nye/glow-tts_bill_nye_ljstx_2020.07.07_expr-1_chkpt-2510.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/judi-dench/G_4693.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/george-takei/G_4060.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tom-hanks/G_3686.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/samuel-l-jackson/2nd/G_4481.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_6204.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_5029.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_5050.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_3606.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7151.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/samuel-l-jackson/2nd/G_5558.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/craig-ferguson/new/G_7657.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/G_2679.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_6808.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_6791.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_5337.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_5916.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_7425.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_7447.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_3812.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_3928.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_4925.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_5099.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_5128.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_5193.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_6838.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/hillary-clinton/2nd/G_6416.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_6341.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/glow-tts_tupac_shakur_ljstx_2020.07.16_expr-2_chkpt-6341.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/bryan-cranston/G_7792.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/david-cross/G_7000.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/david-cross/G_4000.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/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/bryan-cranston/G_7795.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/david-cross/G_9462.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/samuel-l-jackson/2nd/G_9450.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_6000.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/samuel-l-jackson/2nd/G_4000.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_6955.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/peter-thiel/G_4252.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/john-oliver/2nd/G_4262.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/john-oliver/2nd/G_5046.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/peter-thiel/G_5072.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/arnold-schwarzenegger/G_8449.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/tupac-shakur/2nd/G_8238.pth' model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/larry-king/G_3783.pth' # Not yet... model_checkpoint_path = '/home/bt/models/glow-tts-jaywalnut/j-k-simmons/G_3763.pth' 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) #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) 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) sequence = np.array(seq)[None, :] # NB: None adds a new axis. #print("".join([symbols[c] for c in sequence[0]])) torched = torch.from_numpy(sequence) x_tst = torch.autograd.Variable(torched).long() x_tst_lengths = torch.tensor([x_tst.shape[1]]) #print('\n tst_stn', len(tst_stn), tst_stn) #print('\n seq', len(seq), seq) #print('\n sequence', len(sequence), sequence.size, sequence) #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) # NB: Tracing evaluates the model on input and unrolls and hardcodes branching # and loops. Scripting allows these to remain by converting the entire program # to TorchScript. Scripting seems MUCH faster, is also harder get working. #trace_model = True # TODO: Try True. if trace_model: print('Tracing model and saving as: {}'.format(output_filename)) #mel_file = '/home/bt/dev/voder/data/mels/LJ002-0320.mel' #mel = torch.load(mel_file, map_location=torch.device('cpu')) # NB: Getting `Tracing failed sanity checks! Graphs differed across invocations!` inputs = (x_tst, x_tst_lengths) #traced_script_module = torch.jit.trace(glow_model, inputs, check_trace=True) traced_script_module = torch.jit.trace(glow_model, inputs, check_trace=False) traced_script_module.save(output_filename) else: print('Saving script model as: {}'.format(output_filename)) container = torch.jit.script(glow_model) container.save(output_filename) print('Input: {}'.format(model_checkpoint_path)) print('Output: {}'.format(output_filename)) print('Done.')