Python hparams.parse方法代碼示例

本文整理匯總了Python中hparams.hparams.parse方法的典型用法代碼示例。如果您正苦於以下問題：Python hparams.parse方法的具體用法？Python hparams.parse怎麽用？Python hparams.parse使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類hparams.hparams的用法示例。

在下文中一共展示了hparams.parse方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
  parser = argparse.ArgumentParser()
  parser.add_argument('--base_dir', default=os.path.expanduser('.'))
  parser.add_argument('--input', default='training/train.txt')
  parser.add_argument('--model', default='tacotron')
  parser.add_argument('--name', help='Name of the run. Used for logging. Defaults to model name.')
  parser.add_argument('--hparams', default='',
    help='Hyperparameter overrides as a comma-separated list of name=value pairs')
  parser.add_argument('--restore_step', type=int, help='Global step to restore from checkpoint.')
  parser.add_argument('--summary_interval', type=int, default=1,
    help='Steps between running summary ops.')
  parser.add_argument('--checkpoint_interval', type=int, default=1000,
    help='Steps between writing checkpoints.')
  parser.add_argument('--slack_url', help='Slack webhook URL to get periodic reports.')
  parser.add_argument('--tf_log_level', type=int, default=1, help='Tensorflow C++ log level.')
  parser.add_argument('--git', action='store_true', help='If set, verify that the client is clean.')
  args = parser.parse_args()
  os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(args.tf_log_level)
  run_name = args.name or args.model
  log_dir = os.path.join(args.base_dir, 'logs-%s' % run_name)
  os.makedirs(log_dir, exist_ok=True)
  infolog.init(os.path.join(log_dir, 'train.log'), run_name, args.slack_url)
  hparams.parse(args.hparams)
  train(log_dir, args)

開發者ID:yanggeng1995，項目名稱:vae_tacotron，代碼行數:26，代碼來源:train.py

示例2: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
  parser = argparse.ArgumentParser()
  parser.add_argument('--base_dir', default=os.path.expanduser('~/tacotron'))
  parser.add_argument('--input', default='training/train.txt')
  parser.add_argument('--model', default='tacotron')
  parser.add_argument('--name', help='Name of the run. Used for logging. Defaults to model name.')
  parser.add_argument('--hparams', default='',
    help='Hyperparameter overrides as a comma-separated list of name=value pairs')
  parser.add_argument('--restore_step', type=int, help='Global step to restore from checkpoint.')
  parser.add_argument('--summary_interval', type=int, default=100,
    help='Steps between running summary ops.')
  parser.add_argument('--checkpoint_interval', type=int, default=1000,
    help='Steps between writing checkpoints.')
  parser.add_argument('--slack_url', help='Slack webhook URL to get periodic reports.')
  parser.add_argument('--tf_log_level', type=int, default=1, help='Tensorflow C++ log level.')
  parser.add_argument('--git', action='store_true', help='If set, verify that the client is clean.')
  args = parser.parse_args()
  os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(args.tf_log_level)
  run_name = args.name or args.model
  log_dir = os.path.join(args.base_dir, 'logs-%s' % run_name)
  os.makedirs(log_dir, exist_ok=True)
  infolog.init(os.path.join(log_dir, 'train.log'), run_name, args.slack_url)
  hparams.parse(args.hparams)
  train(log_dir, args)

開發者ID:richmondu，項目名稱:libfaceid，代碼行數:26，代碼來源:train.py

示例3: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
  parser = argparse.ArgumentParser()
  parser.add_argument('--base_dir', default=os.path.expanduser('~/tacotron'))
  parser.add_argument('--input', default='training/train.txt')
  parser.add_argument('--model', default='tacotron')
  parser.add_argument('--name', help='Name of the run. Used for logging. Defaults to model name.')
  parser.add_argument('--hparams', default='',
    help='Hyperparameter overrides as a comma-separated list of name=value pairs')
  parser.add_argument('--restore_step', type=bool, default=True, help='Global step to restore from checkpoint.')
  parser.add_argument('--summary_interval', type=int, default=100,
    help='Steps between running summary ops.')
  parser.add_argument('--checkpoint_interval', type=int, default=1000,
    help='Steps between writing checkpoints.')
  parser.add_argument('--slack_url', help='Slack webhook URL to get periodic reports.')
  parser.add_argument('--tf_log_level', type=int, default=1, help='Tensorflow C++ log level.')
  parser.add_argument('--git', action='store_true', help='If set, verify that the client is clean.')
  args = parser.parse_args()
  os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(args.tf_log_level)
  run_name = args.name or args.model
  log_dir = os.path.join(args.base_dir, 'logs-%s' % run_name)
  os.makedirs(log_dir, exist_ok=True)
  infolog.init(os.path.join(log_dir, 'train.log'), run_name, args.slack_url)
  hparams.parse(args.hparams)
  train(log_dir, args)

開發者ID:youssefsharief，項目名稱:arabic-tacotron-tts，代碼行數:26，代碼來源:train.py

示例4: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
	print('initializing preprocessing..')
	parser = argparse.ArgumentParser()
	parser.add_argument('--base_dir', default='')
	parser.add_argument('--hparams', default='',
		help='Hyperparameter overrides as a comma-separated list of name=value pairs')
	parser.add_argument('--dataset', default='LJSpeech-1.1')
	parser.add_argument('--language', default='en_US')
	parser.add_argument('--voice', default='female')
	parser.add_argument('--reader', default='mary_ann')
	parser.add_argument('--merge_books', default='False')
	parser.add_argument('--book', default='northandsouth')
	parser.add_argument('--output', default='training_data')
	parser.add_argument('--n_jobs', type=int, default=cpu_count())
	args = parser.parse_args()

	modified_hp = hparams.parse(args.hparams)

	assert args.merge_books in ('False', 'True')

	run_preprocess(args, modified_hp)

開發者ID:Rayhane-mamah，項目名稱:Tacotron-2，代碼行數:23，代碼來源:preprocess.py

示例5: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
	print('initializing preprocessing..')
	parser = argparse.ArgumentParser()
	parser.add_argument('--base_dir', default='')
	parser.add_argument('--hparams', default='',
		help='Hyperparameter overrides as a comma-separated list of name=value pairs')
	parser.add_argument('--dataset', default='BIAOBEI')
	parser.add_argument('--language', default='en_US')
	parser.add_argument('--voice', default='female')
	parser.add_argument('--reader', default='mary_ann')
	parser.add_argument('--merge_books', default='False')
	parser.add_argument('--book', default='northandsouth')
	parser.add_argument('--output', default='training_data')
	parser.add_argument('--n_jobs', type=int, default=cpu_count())
	args = parser.parse_args()

	modified_hp = hparams.parse(args.hparams)

	assert args.merge_books in ('False', 'True')

	run_preprocess(args, modified_hp)

開發者ID:Joee1995，項目名稱:tacotron2-mandarin-griffin-lim，代碼行數:23，代碼來源:preprocess.py

示例6: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
    args = docopt(__doc__)
    print("Command line args:\n", args)
    checkpoint_dir = args["--checkpoint-dir"]
    postnet_checkpoint_dir = args["--postnet-checkpoint-dir"]
    data_root = args["--data-root"]
    dataset_name = args["--dataset"]
    assert dataset_name in ["blizzard2012"]
    corpus = importlib.import_module("datasets." + dataset_name)
    corpus_instance = corpus.instantiate(in_dir="", out_dir=data_root)

    hparams.parse(args["--hparams"])
    print(hparams_debug_string())

    tf.logging.set_verbosity(tf.logging.INFO)
    predict(hparams,
            checkpoint_dir,
            postnet_checkpoint_dir,
            corpus_instance.test_source_files,
            corpus_instance.test_target_files, )

開發者ID:nii-yamagishilab，項目名稱:tacotron2，代碼行數:22，代碼來源:synthesize.py

示例7: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
    args = docopt(__doc__)
    print("Command line args:\n", args)
    checkpoint_dir = args["--checkpoint-dir"]
    data_root = args["--data-root"]
    dataset_name = args["--dataset"]
    assert dataset_name in ["blizzard2012", "ljspeech"]
    corpus = importlib.import_module("datasets." + dataset_name)
    corpus_instance = corpus.instantiate(in_dir="", out_dir=data_root)

    hparams.parse(args["--hparams"])
    print(hparams_debug_string())

    tf.logging.set_verbosity(tf.logging.INFO)
    train_and_evaluate(hparams,
                       checkpoint_dir,
                       corpus_instance.training_target_files,
                       corpus_instance.validation_target_files)

開發者ID:nii-yamagishilab，項目名稱:tacotron2，代碼行數:20，代碼來源:train_postnet.py

示例8: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
    args = docopt(__doc__)
    print("Command line args:\n", args)
    checkpoint_dir = args["--checkpoint-dir"]
    data_root = args["--data-root"]
    dataset_name = args["--dataset"]
    assert dataset_name in ["blizzard2012", "ljspeech"]
    corpus = importlib.import_module("datasets." + dataset_name)
    corpus_instance = corpus.instantiate(in_dir="", out_dir=data_root)

    hparams.parse(args["--hparams"])
    print(hparams_debug_string())

    tf.logging.set_verbosity(tf.logging.INFO)
    train_and_evaluate(hparams,
                       checkpoint_dir,
                       corpus_instance.training_source_files,
                       corpus_instance.training_target_files,
                       corpus_instance.validation_source_files,
                       corpus_instance.validation_target_files)

開發者ID:nii-yamagishilab，項目名稱:tacotron2，代碼行數:22，代碼來源:train.py

示例9: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
    print('initializing preprocessing..')
    parser = argparse.ArgumentParser()
    parser.add_argument('--base_dir', default='')
    parser.add_argument('--hparams', default='',
                        help='Hyperparameter overrides as a comma-separated list of name=value pairs')
    parser.add_argument('--dataset', default='thchs30')
    parser.add_argument('--language', default='en_US')
    parser.add_argument('--voice', default='female')
    parser.add_argument('--reader', default='mary_ann')
    parser.add_argument('--merge_books', default='False')
    parser.add_argument('--book', default='northandsouth')
    parser.add_argument('--output', default='training_data')
    parser.add_argument('--n_jobs', type=int, default=cpu_count())
    args = parser.parse_args()

    modified_hp = hparams.parse(args.hparams)

    assert args.merge_books in ('False', 'True')

    run_preprocess(args, modified_hp)

開發者ID:cnlinxi，項目名稱:style-token_tacotron2，代碼行數:23，代碼來源:preprocess.py

示例10: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
  parser = argparse.ArgumentParser()
  parser.add_argument('--checkpoint', required=True, help='Path to model checkpoint')
  parser.add_argument('--reference_audio', required=True)
  parser.add_argument('--output')
  parser.add_argument('--hparams', default='',
    help='Hyperparameter overrides as a comma-separated list of name=value pairs')
  args = parser.parse_args()
  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
  hparams.parse(args.hparams)
  run_eval(args)

開發者ID:yanggeng1995，項目名稱:vae_tacotron，代碼行數:13，代碼來源:eval.py

示例11: get_git_commit

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def get_git_commit():
  subprocess.check_output(['git', 'diff-index', '--quiet', 'HEAD'])   # Verify client is clean
  commit = subprocess.check_output(['git', 'rev-parse', 'HEAD']).decode().strip()[:10]
  log('Git commit: %s' % commit)
  return commit

開發者ID:yanggeng1995，項目名稱:vae_tacotron，代碼行數:7，代碼來源:train.py

示例12: tacotron_synthesize

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def tacotron_synthesize(args):
	hparams.parse(args.hparams)
	os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
	output_dir = 'tacotron_' + args.output_dir

	try:
		checkpoint_path = tf.train.get_checkpoint_state(args.checkpoint).model_checkpoint_path
		print('loaded model at {}'.format(checkpoint_path))
	except:
		raise AssertionError('Cannot restore checkpoint: {}, did you train a model?'.format(args.checkpoint))

	if args.mode == 'eval':
		run_eval(args, checkpoint_path, output_dir)
	else:
		run_synthesis(args, checkpoint_path, output_dir)

開發者ID:rishikksh20，項目名稱:vae_tacotron2，代碼行數:17，代碼來源:synthesize.py

示例13: tacotron_train

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def tacotron_train(args):
	hparams.parse(args.hparams)
	os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(args.tf_log_level)
	run_name = args.name or args.model
	log_dir = os.path.join(args.base_dir, 'logs-{}'.format(run_name))
	os.makedirs(log_dir, exist_ok=True)
	infolog.init(os.path.join(log_dir, 'Terminal_train_log'), run_name)
	train(log_dir, args)

開發者ID:rishikksh20，項目名稱:vae_tacotron2，代碼行數:10，代碼來源:train.py

示例14: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
  parser = argparse.ArgumentParser()
  parser.add_argument('--checkpoint', required=True, help='Path to model checkpoint')
  parser.add_argument('--hparams', default='',
    help='Hyperparameter overrides as a comma-separated list of name=value pairs')
  args = parser.parse_args()
  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
  hparams.parse(args.hparams)
  run_eval(args)

開發者ID:richmondu，項目名稱:libfaceid，代碼行數:11，代碼來源:eval.py

示例15: main

# 需要導入模塊: from hparams import hparams [as 別名]
# 或者: from hparams.hparams import parse [as 別名]
def main():
	print('initializing preprocessing..')
	parser = argparse.ArgumentParser()
	parser.add_argument('--base_dir', default='')
	parser.add_argument('--hparams', default='',
		help='Hyperparameter overrides as a comma-separated list of name=value pairs')
	parser.add_argument('--input_dir', default='LJSpeech-1.1/wavs')
	parser.add_argument('--output', default='tacotron_output/gta/')
	parser.add_argument('--n_jobs', type=int, default=cpu_count())
	args = parser.parse_args()

	modified_hp = hparams.parse(args.hparams)

	run_preprocess(args, modified_hp)

開發者ID:Rayhane-mamah，項目名稱:Tacotron-2，代碼行數:16，代碼來源:wavenet_preprocess.py

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